Gotowe bibliografie tematyczne / Determinant of price

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Gotowa bibliografia na temat „Determinant of price”

Autor: Grafiati

Data publikacji: 3 czerwca 2025

Data aktualizacji: 19 lipca 2025

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Artykuły w czasopismach na temat "Determinant of price"

Bobinaite, Viktorija, and Jānis Zuters. "Modelling Electricity Price Expectations in a Day-Ahead Market: A Case of Latvia." Economics and Business 29, no. 1 (2016): 12–26. http://dx.doi.org/10.1515/eb-2016-0017.

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AbstractThe paper aims at modelling the electricity generator’s expectations about price development in the Latvian day-ahead electricity market. Correlation and sensitivity analysis methods are used to identify the key determinants of electricity price expectations. A neural network approach is employed to model electricity price expectations. The research results demonstrate that electricity price expectations depend on the historical electricity prices. The price a day ago is the key determinant of price expectations and the importance of the lagged prices reduces as the time backwards lengthens. Nine models of electricity price expectations are prepared for different natural seasons and types of the day. The forecast accuracy of models varies from high to low, since errors are 7.02 % to 59.23 %. The forecasting power of models for weekends is reduced; therefore, additional determinants of electricity price expectations should be considered in the models and advanced input selection algorithms should be applied in future research. Electricity price expectations affect the generator’s loss through the production decisions, which are made considering the expected (forecasted) prices. The models allow making the production decision at a sufficient level of accuracy.

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Putra, Hadi Arisyah, Chenny Seftarita, and Suriani Suriani. "Determinants of Price Fluctuation for Cooking Oil Commodity in Aceh Province, Indonesia." International Journal of Business, Economics, and Social Development 2, no. 3 (2021): 113–18. http://dx.doi.org/10.46336/ijbesd.v2i3.158.

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Aceh Province is still one of the regions in Indonesia whose primary commodities are still largely dependent on other regions that can cause uncontrolled fluctuations in the price especially cooking oil product. One step to overcome these problems is to make accurate price fluctuation predictions so preventive actions can be taken to minimize error estimation of these fluctuations so appropriate policies can be applied. This study focuses on analyzing of forecasting fluctuations in cooking oil prices and the influence of its determinants in the Aceh Province, Indonesia. Price forecasting uses the Autoregressive Integrated Moving Average (ARIMA) approach and determinant estimation uses the Ordinary Least Square (OLS) method. The data used in this study is time-series monthly data from January 2016 to December 2020 from Statistics Indonesia publication. The results of price forecasting show that the monthly price of cooking oil for 2021 and 2022 tends to increase. In early 2021, it is predicted that the price of cooking oil will be in the range of IDR14,500/kg and at the end of the year and early 2022 it is predicted to touch the price range of IDR15,500/kg. Then at the end of 2022 it is predicted that the price of cooking oil will reach IDR17,000/kg. Furthermore, the results of the econometric estimation show that all of the variable determinants have a significant effect on cooking oil prices fluctuations. The variable price of raw materials and the price index received by farmers were found to have a positive effect, while the rainfall variable was found to have a negative effect on cooking oil price fluctuation. According to these findings, it is hoped that the Aceh Provincial Government will be able to take strategic policies on the predicted prices and determinant of variables that have been proven to have a significant effect on cooking oil prices so in the future price fluctuations can be more stable and supply of goods can be maintained, as well as increase the competitiveness of provincial agricultural products.

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Cunha, António M., and Ricardo Loureiro. "Housing price dynamics and elasticities: Portugal's conundrum." National Accounting Review 6, no. 1 (2024): 75–94. http://dx.doi.org/10.3934/nar.2024004.

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<abstract> We aimed to estimate the housing price determinants and elasticities in Portugal's metropolitan areas to help understand the dynamics of the abnormal price increase of the last decade, one of the highest in Europe and the World. We followed a three-step methodology applying panel data and time series regression estimation. First, we estimated the determinants of housing prices at the national and metropolitan area levels. Second, we split the sample by coastal and inner metropolitan areas and estimated the determinants of housing prices and the supply elasticities of each group. Third, we estimated the correlations between housing price growth and elasticities to find whether these determinants correlate. The results showed that at the national level, housing prices are inelastic to aggregate income (0.112). <italic>Momentum</italic> is the most significant determinant of housing prices (0.760). At the metropolitan areas level, we found an inelastic housing supply, a price-to-income elasticity close to zero, and a more inelastic supply in coastal areas. We found no significant correlation between housing price growth, price-to-income, and supply elasticity. The coastal areas registered housing price growth and a <italic>momentum</italic> effect much higher than the inner areas, suggesting the existence of dynamic speculative forces that cause prices to move beyond what can be explained by equilibrium models. The present study contributes to the literature on housing price dynamics by showing that the conventional equilibrium stock-flow model does not explain the increase in Portugal's current housing prices, suggesting that other forces (such as economic uncertainty and sentiment) determine the housing price dynamics. The explanation for the housing price growth in Portugal is a <italic>conundrum</italic>. We believe this knowledge can help define better housing policies at the local and national levels. </abstract>

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Ismaya, Bambang Indra, and Donni Fajar Anugrah. "DETERMINANT OF FOOD INFLATION." Buletin Ekonomi Moneter dan Perbankan 21, no. 1 (2018): 81–94. http://dx.doi.org/10.21098/bemp.v21i1.926.

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In this paper, we investigate the determinants of food inflation in Indonesia by applying General Method of Moments (GMM). The period of quarterly data is 2008:Q1 to 2017:Q4. The empirical finding of this study shows that backward-looking and forward-looking expectations have a strong impact on food inflation. Also, this study provided evidences that the determinants general food price inflation, such as food production, agriculture sector output, infrastructure, food import, agriculture sector credit, demand level (M1/consumption), and seasonal event (Eid Mubarak) are highly significant. Backward-looking and forward-looking expectations, domestic oil price, and level of demand have been a contributor toward high food price while the factors of general food price inflation reduce food price. In particular, we also identify the determinants of rice price inflation since it has the largest share in food price inflation. We found that backward-looking and forward-looking expectations, climate change, and demand have a strong impact on high rice price while production, productivity, harvested area, infrastructure, import, and credit reduce rice price.

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Tushar, Ranjan Sahoo, Kumar Sahoo Saroj, and Satpathy Biswajit. "A Subjective Consideration of Agricultural Future Productivity: The Study by a Proposed Model." Asian Journal of Economics, Business and Accounting 3, no. 3 (2017): 1–9. https://doi.org/10.9734/AJEBA/2017/34261.

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Agriculture is the backbone of Indian economy. Agriculture is not only important in economic point of view but also has subconscious influence on social, political and cultural life. So many researchers have accomplished their study related to the price determinants of agricultural product, but rare researcher worked on ‘consumption pattern’ as moderated ‘price determinants’ and ‘perception toward future productivity’. By the informal discussion with farmers’ it has been judge that there is a great role of farmers’ and firm owners’ psychology on the future productivity. So, these research issues are addressed in current study that are from the aim of study as follows- Aim: Aim of study is to find out the relationship between ‘price of agriculture product’ and its determinants, influence of ‘price determination’ on ‘perception towards future productivity’ and the moderation effect of ‘consumption pattern’ on the relationship between ‘price determination’ and ‘perception towards future productivity’ of agricultural products. Study Design: Descriptive research design applied to study. The relevant literature laid down relation between price determinant of agricultural product and future perception of agricultural product. Methodology: The study based on logical relationships developed through a proposed model. The model refers to moderated mediation effect on the relationship between determinants of price and perception towards future productivity through consumption pattern and price determination of agricultural products. The model has proposed purely based on available literature and the determinants of price are identified from past research works and studies. Results: Perception towards future productivity is a logical consequence of price determination process, which is influence by various controllable and uncontrollable factors. The consumption pattern acts as moderator between production-perception and price determination process of agriculture products. Conclusion: Estimating the future production of agricultural products by determinant of price and with the traditional methods is not sufficient in today’s dynamic market scenario; the psychological aspect of the future production is a must requirement to estimate the future production, which ultimately becomes the input for planning and strategy.

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Tang, Tuck-Cheong. "A COINTEGRATION ANALYSIS OF INFLATION BEHAVIOUR IN SOUTHEAST ASIA." Labuan Bulletin of International Business and Finance (LBIBF) 2, no. 2 (2004): 123–36. http://dx.doi.org/10.51200/lbibf.v2i2.2597.

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The objective of this study is to investigate the long-run relationship between inflation and its determinants in the five selected Southeast Asia economies. The sample countries are Malaysia, Indonesia, Thailand, the Philippines, and Singapore. More specifically, this study has considered the different effects of final demand components on inflationary process by further disaggregating the real income variable into final consumption expenditure, expenditure on investment goods, and exports, as explanatory variables. Other factors are money supply and import prices. From the estimates, the elasticities of final demand components are different for the examined economies, and this reveals that different final demand components have different effects on inflation or domestic price determination. The results of cointegration tests have showed domestic price and its determinants are cointegrated for the three of the five selected Southeast Asia economies, that are Malaysia, Singapore, and Thailand. For the cases of Indonesia, and the Philippines, domestic price is not cointegrated with its determinants. Inflation or domestic price in the five Southeast Asia economies is inelastic to its determinants even in the long-run. This study further shows that in the long-run, import price is still major determinant of inflation or price behaviour in Malaysia, Thailand, and Singapore. By the end of this study, several discussions on economic implications have been made accord with the findings of this study.

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Anselmsson, Johan, Niklas Vestman Bondesson, and Ulf Johansson. "Brand image and customers' willingness to pay a price premium for food brands." Journal of Product & Brand Management 23, no. 2 (2014): 90–102. http://dx.doi.org/10.1108/jpbm-10-2013-0414.

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Purpose – The aim is to understand customers' willingness, or unwillingness, to pay a price premium in the market for consumer packaged food and what kind of images brands can use in order to achieve a price premium. Design/methodology/approach – The study is based on a quantitative survey of brand images found in food and branding literature and their impact on loyalty as well as customers' willingness to pay a price premium for consumer packaged food. Findings – The survey shows that quality is a significant determinant of price premium, but adding other image dimensions doubles the predictability and understanding about price premium. The strongest determinants of price premium are social image, uniqueness and home country origin. Other significant determinants are corporate social responsibility (CSR) and awareness. Practical implications – The results help brand managers to recognise the importance of incorporating price premium and to develop a better understanding of what drives price premium in addition to more traditional dimensions as quality and loyalty. Originality/value – In grocery retailing, the competition for customers, margins and price premiums between manufacturer and private labels is fierce. Traditionally, the literature on this competition has focused on quality and product improvements as the main tool for creating distance to low priced competition. This study looks into other more branding related dimensions to distance from price competition.

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Henny, Medyawati, and Yunanto Muhamad. "Determinant of Stock Price Manufacturing Company: Evidence From Indonesia." Journal of Economics and Business 3, no. 2 (2020): 524–35. https://doi.org/10.31014/aior.1992.03.02.217.

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One of the objectives of financial management is to maximize the value of the company. For companies that have been listed on the stock exchange, this goal can be achieved by maximizing the value of the relevant market price. The purpose of this study is to find the right model to analyze the effect of Debt to Equity Ratio (DER), Earning per share (EPS), Price to Book Value (PBV), and Return on Equity (ROE) on the stock prices of manufacturing companies included in the sector the food and beverage sub-sector of the consumer goods industry that is listed on the Indonesia Stock Exchange. Research data include the financial data for the period 2012-2018. The estimation method used is the panel data regression. The analysis shows that the most appropriate model in this research is the Random Effect Model. Variables that affect stock prices based on the model are earnings per share and price to book value.

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Cevik, Serhan, and Tahsin Saadi Sedik. "A Barrel of Oil or a Bottle of Wine: How Do Global Growth Dynamics Affect Commodity Prices?" Journal of Wine Economics 9, no. 1 (2014): 34–50. http://dx.doi.org/10.1017/jwe.2014.2.

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AbstractThis paper explores empirically the causes of extreme fluctuations in commodity prices from January 1990 to June 2010 and seeks to identify the relative contribution of advanced and emerging market economies to the changes in commodity prices. Our assumption is that analyzing two very distinct goods—crude oil and fine wine—helps to identify common determinants of commodity prices. We find that the growth rate of global aggregate demand is the key macroeconomic determinant of the fluctuations in both crude oil and fine wine prices over the sample period. While advanced economies account for more than half of global consumption, emerging market and developing economies make up the bulk of the incremental change in demand, thereby having a greater weight in commodity price formation. The coefficient of emerging market industrial output growth is about three times as high as that of advanced economies in oil price regressions and almost five times as powerful in fine wine price regressions. The results also show that the shift in the composition of aggregate commodity demand is a recent phenomenon. (JEL Classifications: Q11, Q39, Q41, Q43)

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Egunjobi, Titilayo. "Determinants of Household Cooking Energy Choice in Oyo State, Nigeria." Journal of Economics and Policy Analysis 5, no. 2 (2020): 15–37. https://doi.org/10.52968/25745894.

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This study examined the economic and social determining factors of household cooking energy choice in urban and rural local governments in Oyo State, Nigeria. Primary data via questionnaire and personal interview was collected from 180 randomly selected respondents in Oyo state. Descriptive statistics and the multinomial logit model were used for data analysis. In rural areas, the significant social determinants of household cooking energy are meals per day, education, household size, occupation and cooking facility, while the significant economic determinant of household cooking energy is appliance price. In urban areas, the significant social determinants of household cooking energy are household size and cooking facility while the significant economic determinants of household cooking energy are income, appliance price and expenditure on energy. It was discovered that in rural areas household cooking energy is determined more by social factors than economic factors, while the reverse is the case for urban areas. Thus, it is recommended that government should ensure that price of appliance prices are reduced and the need to improve the social conditions especially of households living in rural areas.

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Rozprawy doktorskie na temat "Determinant of price"

Pokorný, Michael. "Analýza determinant tvorby nabídkových cen bytů." Master's thesis, Vysoká škola ekonomická v Praze, 2014. http://www.nusl.cz/ntk/nusl-205053.

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In this diploma thesis are analyzed selling prices of flats in Czech Republic. Based on literature and economic theory about similar topic was made economic model and constructed variables, which could have effect on the price. For the analysis were used information about 1100 flats in 8 Czech cities. The effect of the variables was measured using ordinary least square method. Increase of size of the flat by one squared meter cause 1,28% increase of price. Price of flats in ground floor is lower than other flats. This effect raises until fifth floor. Flats in last floor are cheaper than others. The effect of balcony is almost 33% higher price. Fixed effects of cities give the results that Prague is the most attractive, at the end is Ústí nad Labem.

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Brožová, Dominika. "Vyvíjí se prodeje nových osobních automobilů procyklicky? Analýza determinant korporátní a retailové poptávky v ČR a SR." Master's thesis, Vysoká škola ekonomická v Praze, 2015. http://www.nusl.cz/ntk/nusl-201856.

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The thesis is focused on verifying the pro-cyclical relationship of sales of new passenger cars in the Czech Republic and Slovakia and the subsequent evaluation of the impact of macroeconomic variables in the period from the first quarter of 2005 to the third quarter of 2015. In total, there are four different models estimated of multiple linear regressions of car sales, where for the Czech R. the estimation of different sectors of households and firms is available as well. By comparing the Czech R. and Slovakia regarding aggregate sales, fuel prices and gross domestic products are especially crucial and the pro-cyclical relationship is successfully verified. The economic crisis at the turn of 2008-2009 hit especially Slovakia, while the effect in the Czech R. was offset by a positive shock to fuel prices. For the model of households the procyclical relationship is denied unlike from the model of firms, shock to GDP therefore only deviate sales to firms. For Czech R. is also confirmed a significant relationship of the sales with interest rate or population growth.

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Mo, Zheng. "An Empirical Evaluation of OLS Hedonic Pricing Regression on Singapore Private Housing Market." Thesis, KTH, Byggvetenskap, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-150401.

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The empirical paper studies the relationship between property value and hedonic attributes. To indentify the determinant characteristics the influent the private real estate price, their degrees of significance and help with the valuation procedure, 8870 private residential property transactions with caveats lodged across country are selected from Urban Redevelopment Authority of Singapore. 40 models are tested and RMSE, R-Square, Adjusted R-Square, F-Value tests are performed to discover the overall fitness of the models. Breusch-Pagan F-Test is performed to test the existence of heteroskedasticity and VIF test to check multicolinearity. Z score is performed to check the spatial autocorrelation. Three founding are discovered. Firstly, size, age, floor level, population density level, latitude and construction status are core attributes resulting from the regression. Secondly, new district zones classified by functions are detected instead of 28 administrative districts. Thirdly, government policies and local customs (Feng Shui) are proven to be determinant variables as well. Two suggestions are given to regulate the market in the end of this article.

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Karagol, Tuba. "A Study Of Housing Prices In Ankara." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/12608958/index.pdf.

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Housing price studies is the first step of housing market analysis. Prices are determined at the intersection point of supply and demand curves, which determine equilibrium point that represents equilibrium price and quantity level. At a point in time demand factors are more important in determining the prices because short-run supply curve is almost vertical. However, in the long run supply of housing, and its certain attributes, will increase if price premium arises in the previous periods. In most of the studies, house prices are analyzed by using hedonic price index technique, which enables us to have information about the demand side of housing sector. In the hedonic price framework, heterogeneous goods are considered as aggregations of characteristics, and implicit marginal prices for these characteristics are calculated. When &lsquo Hedonic Price Analysis&rsquo is applied to the housing sector, it shows us the price of each housing attribute and gives information about the preferences and willingness to pay of the people for each attribute. Therefore, at the end of such an analysis it is possible to see which attributes are valued most by house buyers in the city. The aim of this thesis is to reveal the implicit prices of housing attributes in the housing market of Ankara, for the year 2006, with the purpose of gaining more information about the demand side of the housing sector. For this purpose, hedonic pricing method is used with the data that are extracted from appraisal reports which include information about main attributes and estimated price of each dwelling unit.

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Cheremnykh, Anna. "INVESTMENT IN REAL ESTATE: PRAGUE CASE STUDY." Master's thesis, Vysoká škola ekonomická v Praze, 2013. http://www.nusl.cz/ntk/nusl-199519.

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This paper analyzes the influence of several factors on rental and purchase price of Real Estate in Prague. The idea is that purchase and rental price could be influenced by different factors. To make a decision about "buy to rent" investment it is necessary to consider both sides. The aim is to conduct thorough analysis to find out whether differential factors exist, and if so, what they are. The comparison of these factors and their separated effects helps to understand the total effect on potential profitability and to make right decision about attractive properties for "buy to rent" investment. The paper serves to inform investors who are making decisions about investment properties.

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Horová, Lucie. "Analýza determinant pracovní migrace občanů ČR." Master's thesis, Vysoká škola ekonomická v Praze, 2009. http://www.nusl.cz/ntk/nusl-16731.

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This diploma work deals with free movement of workers within European Union. The first theoretic chapter define labour migration and its main segmentation. The second chapter discribes four significant theoretical approaches to labour migration depending on wages differentials, human capital supply, family and created migration nets. Every approach explains the causes and effects of labour migration by different way. The third chapter is devoted to the migration policy of EU. Within fourth chapter migration policy of the selected countries (Germany, Austria, Ireland, Great Britain) is studied. The core of the work draws on a questinnaire-based survey of the migration attitudes of high-skilled workers and students. In this fiftht chapter, which is the key one, The influence of migration determinants on labour migration of the Czech citizens towards EU members states is analyzed. In conclusions the knowledge acquired in writing diploma work is interpreted.

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Getahun, Habtewold Demewez. "ＴＨＥＥＦＦＥＣＴＯＦＩＮＴＥＲＥＳＴＲＡＴＥS ＯＮＨＯＵＳＩＮＧＰＲＩＣＥＳＩＮＳＷＥＤＥＮ : : The case of one and two dwelling buildings". Thesis, KTH, Bygg- och fastighetsekonomi, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-89826.

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The aim of this paper is to study the effect of interest rates on house price changes in Sweden for the case of one and two dwelling buildings. Basically, three procedures were used for analysis. First, correlation analysis was used to investigate and test if there has been any relationship between interest rates and house price in Sweden in the past two decades. Second, multiple regressions analysis with consideration of hetroskedasticity autocorrelation or HAC (newey-west standard) errors was applied to test the impact of changes of interest rates on house price. Finally, distributed lag model was applied to examine the impact of interest on house price through time. The result shows that there is strong inverse relationship between interest rates (governmental bond rates, mortgage bond rates, lending rates and repo rates) and housing price index. The regression coefficients show that the decrease in the interest rate is followed by corresponding increase in the housing price index for all the given interest rates. The other finding is that more than 92 percent variation in the housing price index is explained by changes in interest rates, changes in net house hold disposable income, inflation rate and supply. The result also shows the lag effects of changes of interest rates on housing price. The major implication of this study is that fluctuations in interest affect homebuyers, home sellers, household incomes and investors. The study also suggests that further detail investigation on house price dynamics is crucial for monetary policy.

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Martin, Jon E. (Jon Egan). "Determining the Impact of Selected Variables on the Sale Price of Real Estate." Thesis, University of North Texas, 1989. https://digital.library.unt.edu/ark:/67531/metadc501198/.

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This paper presents the results of a study dealing with a number of issues regarding real estate investment. Utilizing a data set consisting of real estate transactions, questions relative to the impact of certain variables on the sale price are addressed. This analysis addresses the question of the impact of financial, physical, and location characteristics on the sales price of commercial grade real estate.

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Anop, Sviatlana. "Apartment price determinants : A comparison between Sweden and Germany." Licentiate thesis, KTH, Fastigheter och byggande, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-161652.

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Similar development of economic fundamentals in Germany over the last two decades did not lead to the same dramatic house price increases as it is in Sweden. What can explain this house price stability over a long period? This thesis attempts to find the answer this question. The first paper in this thesis contains an extended literature review on the studies focused on the factors affecting house prices in the short and in the long run. Existing literature adopts a broad variation of approaches and reaches different conclusions attempting to answer the question about what are the key drivers of house prices. Conclusions often depend on the model specifications and econometric methods applied. Though there is a considerable agreement in real estate economics theory regarding the main factors that affect house prices (or so called “fundamental determinants”), it is hard to find a consistent definition regarding what factors can be considered as “fundamentals” and what factors belong to “non-fundamentals”. The dominating factors that are presented in the majority of the studies are income, population, interest rate, housing stock and unemployment. Studies done after the recent financial crisis put more attention on such factors as the behavior of the market participants, financing conditions and regulations. The characteristics of the bank lending and valuation policies as well as regulations on the rental market have received attention in the research literature, but the impact of these factors on house price dynamics is not measured and not well described. Therefore the other two papers in this thesis aim to provide a better insight in to the factors that create fluctuations in housing markets. The second paper investigates the effects of macroeconomic indicators such as population, income housing stock, mortgage interest rate on house prices. Estimation is done by applying panel data methodology on regional data for major cities in Germany and Sweden and by using yearly observations from 1995 to 2010. Results suggest that the long-run development of apartment prices in Sweden can be explained by changes in such factors as population, disposable income per capita, mortgage interest rate, housing stock, and prices per square meter in the previous period. The price for the previous period has the highest impact in comparison with other factors in Sweden. At the same time for Germany this is the only factor that is valid for long-term house price development. Estimates for fundamental factors such as population, disposable income, mortgage interest rate and housing stock appeared as not significant in house price development in the long run in Germany. A closer analysis has shown that the fundamental factors developed in a similar way in both countries during the analyzed period, though the house prices dynamic is very different. The conclusion is that fundamental factors cannot provide an explanation for the differences in house price developments in two countries and further analysis of institutional differences in the housing markets is done in the third paper. Third paper applies a comparative analysis approach and hypothetico-deductive method in order to examine the differences in the banking policies on mortgage financing and approaches to valuation of mortgage properties in Germany and Sweden. The results suggest that the extreme rise in Swedish house prices above the long-term trend was created by expanding bank lending policies that was supported by the general macroeconomic factors and regulation environment on the housing market. The main difference between countries in approaches to valuation for mortgage purposes is that in Germany that mortgage is based not on the market value as it is in Sweden, but on the long-run sustainable value, so called “fundamental” value. Mortgage lending value is determined in such a way that is also develops in the same tempo as fundamentals in the long-run and is not that procyclical as market value. Using a long-term sustainable value has a restrictive effect on the housing prices and in such a way stabilizes the market. One more factor that gives stability to the housing market in Germany is the well-functioning rental market. Third paper contributes to a better understanding of necessary conditions for the house prices to rise in the long run above the fundamentals level and suggests policy solutions that can reduce the risks of housing bubbles and increase financial stability. Ekonomiska fundamenta hur utvecklats på ungefär samma sätt i Tyskland och Sverige, men medan huspriserna i Sverige stigit kraftigt har de varit stabila i Tyskland. Vad kan förklara denna skillnad? Syftet med denna licentiatuppsats är att försöka förklara det. Den första uppsatsen innehåller en omfattande litteraturöversikt rörande vad som styr huspriser på kort och lång sikt. Den existerande litteraturen innehåller många olika angreppssätt och kommer till olika svar om vad som driver huspriserna. Slutsatserna beror ofta på hur modellerna specificerats och vilken ekonometrisk metod som använts. Det finns dock betydande enighet i ekonomisk teori om vad som är de grundläggande faktorerna som styr huspriserna (så kallade fundamenta) så finns delade meningar om hur dessa exakt ska specificeras och vad som räknas som icke-fundamentala faktorer. De vanligaste fundamentala faktorerna i studierna är inkomst, befolkning, räntenivå, bostadsutbudet och arbetslöshet. Studier gjorda efter den senaste finanskrisen betonar med beteendefaktorer, finansieringsförhållande och regleringar. Egenskaperna hos bankernas långivning och värderingsprinciper liksom effekten av hur hyresmarknaden fungerar har då fått lite utrymme vilket motiverar att de behandlas mer ingående i denna studie. Den andra uppsatsen undersöker effekterna av makroekonomiska indikatorer som befolkning, inkomst, bostadsutbud och räntenivåer på huspriser i Tyskland och Sverige. Studien begränsas till ett antal större städer och bygger på data från 1995-2010. Paneldataanalys används. Resultaten pekar på att den långsiktiga prisutvecklingen i Sverige kan förklaras av sådana fundamentala faktorer, men också att priset föregående period påverkar priset perioden efter. För Tyskland är enbart den sista faktorn av betydelse, dvs utvecklingen av de fundamentala faktorerna påverkar inte prisutvecklingen där. Trots att de fundamentala faktorerna utvecklas på liknande sätt så leder de inte till samma utveckling av huspriserna. Detta motiverar djupare studier av institutionella skillnader mellan bostadsmarknaderna i de båda länderna. Den tredje uppsatsen är en jämförande studie som använder hypotetiskt deduktiv metod för att undersöka om skillnader i bankerna lånepolicy och skillnader i värdebegrepp kan förklara skillnader i prisutveckling på bostäder. Resultaten pekar på att de snabbt stigande priserna i Sverige kan förklaras med en expansiv långivning. En viktig skillnad är att medan långivning i Sverige grundas på aktuellt marknadsvärde medan den i Tyskland bygger på ett långsiktigt värde som ska spegla långsiktiga fundamentala faktorer, ett så kallat "mortgage lending value". Detta värde utvecklas mer sakta och ska inte svänga med konjunkturerna på det sätt som ett marknadsvärde normalt gör. Genom att långivning grundas på detta värde stabiliseras marknaden. En annan faktor som bidrar till att stabilisera de tyska bostadspriserna är att det finns en fungerande hyresmarknad som skapar ett alternativ till att köpa. Bidraget i den tredje uppsatsen är att öka vår förståelse av nödvändiga villkor för att huspriserna inte ska stiga snabbt och att den pekar på åtgärder som kan minska risken för prisbubblor på bostadsmarknaden, och minska risken för finansiell instabilitet. QC 20150316

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Cullen, John Tanner. "Determinants of Single-Family Home Price: Oakland, California." Scholarship @ Claremont, 2016. http://scholarship.claremont.edu/cmc_theses/1386.

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This study focuses on explaining the determinants of home value for a given region of Oakland, California. With a history of high crime and low performing public schools, Oakland’s housing market has not achieved the same measurable success as neighboring cities like Berkeley and San Francisco. Through the use of time series regressions of panel data; rate of crime, school test scores, and distance to public transportation are examined in order to determine their singular and joint effects on single-family home values from 2008 to 2013. Trends in neighborhood characteristics indicate an ongoing change in neighborhood demographics, while regression results show each variables impact on price.

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Książki na temat "Determinant of price"

Hess, Martin. The Determinants and the forecastability of Swiss stock prices. Studienzentrum Gerzensee, 2001.

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Kaufman, Phillip R. Supermarket prices and price differences: City, firm, and store-level determinants. U.S. Dept. of Agriculture, Economic Research service, 1990.

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Kaufman, Phil R. Supermarket prices and price differences: City, firm, and store-level determinants. U.S. Dept. of Agriculture, Economic Research service, 1990.

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Lopez-de-Silanes, Florencio. Determinants of privatization prices. National Bureau of Economic Research, 1996.

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Luppold, William G. The determinants of hardwood lumber price. U.S. Dept. of Agriculture, Forest Service, Northeastern Forest Experiment Station, 1985.

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R, Capozza Dennis, and National Bureau of Economic Research., eds. Determinants of real house price dynamics. National Bureau of Economic Research, 2002.

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Cabral, Donna. The determinants of share prices. typescript, 1997.

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Borio, C. E. V. Exploring aggregate asset price fluctuations across countries: Measurement, determinants, and monetary policy implications. Bank for International Settlements, Monetary and Economic Dept., 1994.

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Fund, International Monetary, ed. The macroeconomic determinants of commodity prices. International Monetary Fund, 1994.

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Singh, Satwinder. The determinants of prices in UK industry: Firms' views. University of Reading, Dept. of Economics, 1993.

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Części książek na temat "Determinant of price"

Nathan, Thurai Murugan, Abdelhak Senadjki, and Hui Nee Au Yong. "The Determinant of Local Palm Oil Price in Malaysia: Does the Covid-19 Pandemic Matter?" In Proceedings of the 10th International Conference on Business, Accounting, Finance and Economics (BAFE 2022). Atlantis Press SARL, 2023. http://dx.doi.org/10.2991/978-2-494069-99-2_26.

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Taghizadeh-Hesary, Farhad, Naoyuki Yoshino, Yugo Inagaki, and Lilu Vandercamme. "Solar Module Price Determinants." In The Handbook of Energy Policy. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9680-0_25-1.

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Kolb, Bonita M. "Determining the product price." In Marketing Strategy for the Creative and Cultural Industries. Routledge, 2020. http://dx.doi.org/10.4324/9780367817077-9.

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Chhabra, Sakhhi. "Determining the Optimal Price Point: Using Van Westendorp’s Price Sensitivity Meter." In Managing in Recovering Markets. Springer India, 2014. http://dx.doi.org/10.1007/978-81-322-1979-8_20.

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Kamran, Asif, Shumaila Israr, and S. M. Ahsan Rizvi. "Determinants of Gold Prices in Pakistan." In Lecture Notes in Electrical Engineering. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40081-0_103.

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Bard, Jonathan F. "Determining Price Support Levels for Biofuel Crops." In Nonconvex Optimization and Its Applications. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4757-2836-1_12.

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Bhattacharya, Kaushik. "Determinants of Price Deviations Across Regions in India." In India Studies in Business and Economics. Springer India, 2014. http://dx.doi.org/10.1007/978-81-322-1795-4_11.

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Arora, Parvinder, and Muslim Bhimani. "Determinants of Stock Price in Singapore’s Manufacturing Sector." In Entrepreneurship, Business and Economics - Vol. 2. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-27573-4_43.

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Kumar, Anoop S., and Taufeeq Ajaz. "Determinants of Bitcoin Price: Evidence from Asymmetrical Analysis." In India Studies in Business and Economics. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-7062-6_28.

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Streszczenia konferencji na temat "Determinant of price"

Mihaleva, Hristina, Zahari Dechev, Svetla Atanasova, and Teodora Todorova. "PSYCHO-SOCIAL ASPECTS OF PRICE IN THE BULGARIAN CONTEXT." In 11th SWS International Scientific Conferences on SOCIAL SCIENCES - ISCSS 2024. SGEM WORLD SCIENCE, 2024. https://doi.org/10.35603/sws.iscss.2024/gs04.40.

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{In modern commerce, the psycho-social aspects of price have a significant impact on the buyers. The buyer's connection to the price of a product signifies specific substantive characteristics, which inherently contribute to the application of certain factors in marketing for the exploration and examination of the issue at hand. The present study focuses on specific determinants that influence the determination of the final price by the manufacturer, the trade agent (intermediary), and the buyer themselves. Within the scope of the discussion, the primary objective of the research work is associated with highlighting certain theoretical and empirical aspects of the psycho-social influence on the buyer regarding the price of the product, which is based on the dynamics of trade in the Bulgarian context influenced by a range of factors. In its practical orientation, the present study aims to find answers to several marketing questions addressed to the Bulgarian buyer: What factors influence their choice of food? How often do they shop for groceries? Where do they purchase their foodstuffs? In which food groups have prices increased the most? How do our buyers judge the prices of food products? The questions themselves encompass a variety of combinations of answers and dependencies, which presuppose the clarification of the following tasks: a theoretical justification of the problem regarding the psycho-social aspects of price in relation to the buyer based on influencing factors; conducting a survey among 500 Bulgarian buyers of specific food products; processing the results and conducting an empirical analysis to trace the influence of price and the attitude it shapes in the buyer; drawing conclusions, providing theoretical generalization, and reaching a conclusion. The marketing research work is based on the following hypothesis: the selection of a suitable set of factors to determine the influence of prices on the products offered by the manufacturer and the trade agent (intermediary) contributes to the justification and decision-making process that shapes future economic benefits for the enterprise. The research hypothesis may lead us to a "feedback loop" and direct us towards answering the question: "What is the cause of the Bulgarian buyer's disagreement with the current prices of food products offered in our market?" In the marketing interaction of "seller-intermediary-buyer," the product's price emerges as an essential characteristic. To a large extent, it determines, channels, and optimizes these trade interactions. The marketing tracking of the specificity of the psycho-social aspects of price highlights their impact on the buyer in the specific Bulgarian context, thus stimulating the current research interest.}

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Daase, Christian, Seles Selvan, Dominic Strube, Daniel Staegemann, Jennifer Schietzel-Kalkbrenner, and Klaus Turowski. "Dynamization of Retail Pricing: From Traditional Price Determinants to Automation Based on Artificial Intelligence." In 27th International Conference on Enterprise Information Systems. SCITEPRESS - Science and Technology Publications, 2025. https://doi.org/10.5220/0013441000003929.

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Alshatri, Najlaa, Morteza Saberi, and Farookh Khadeer Hussain. "A Comprehensive Analysis for Determining Key Influencing Factors on Carbon Credit Prices." In 2024 IEEE International Conference on e-Business Engineering (ICEBE). IEEE, 2024. https://doi.org/10.1109/icebe62490.2024.00032.

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Rusmawati, Zeni, Rieska Maharani, and Dedy Surahman. "Determinant Factors of House Price Using Regression Analysis." In Proceedings of the 2nd International Conference of Business, Accounting and Economics, ICBAE 2020, 5 - 6 August 2020, Purwokerto, Indonesia. EAI, 2020. http://dx.doi.org/10.4108/eai.5-8-2020.2301209.

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Volkov, Artiom, Mangirdas Morkūnas, and Viktorija Skvarciany. "Is it possible to predict food retail prices? Evidence from Lithuanian market." In Contemporary Issues in Business, Management and Economics Engineering. Vilnius Gediminas Technical University, 2019. http://dx.doi.org/10.3846/cibmee.2019.018.

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Purpose – the purpose of the article is to develop a model that could be used for estimating the level of the effect of the highlighted determinants on food retail prices. Research methodology – the study is based on the obtained monthly data of food retail prices that covers the period from 2016 I m. to 2018 XII m. (36 observations). Multiple regression modelling is used in order to create a model of food retail prices. Findings – the results provide evidence that the most influential determinants are the price of the alternative products and purchasing power. It also contributes to scholarly thinking, stating, that it is possible to predict the future retail price of a particular product. Research limitations – the limitation of the current study is that the proposed econometric model is sufficient for the Lithuanian market and ought to be modified if used in other countries. Practical implications – the development model allows to predict/forecast the food retail prices which are crucial for households budget planning. Originality/Value – the current study examines the main determinant of retail food prices. It laid a background for future researches, based on examining possibilities to forecast food prices. The research results contribute to classic economic views about market imperfections influence onto supply-demand equilibrium and unproductiveness of consumer illicit market.

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Wu, Miao, and Changbing Tang. "Price of fairness for zero-determinant strategies in Iterated Prisoner’s Dilemma." In 2021 40th Chinese Control Conference (CCC). IEEE, 2021. http://dx.doi.org/10.23919/ccc52363.2021.9550497.

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Algan, Neşe, Erhan İşcan, and Duygu Serin Oktay. "The Impact of Energy Prices on World Food Prices: A Bounds Testing Approach." In International Conference on Eurasian Economies. Eurasian Economists Association, 2016. http://dx.doi.org/10.36880/c07.01693.

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Economic developments of the countries are highly interrelated with food prices due to food security. World food prices have dramatically changed in recent years. The rise of food prices have warned all governments because of socio-economic implications and stimulated extensive academic discussions. Increase of food prices is not surprising while energy prices increased during the same periods. Therefore, the energy prices can be seen as one of the determinant of food prices. Energy prices influence food price movements in many ways. Firstly, increasing energy prices result in a rise in input costs. Second, the increase in energy prices will increase the transport costs thus; changes of the energy prices directly affect production cost of food and consequently food prices. Therefore, detailed analysis is essential for understanding the nature of food prices. The aim of this study is to investigate the impact of energy prices on world food prices. Therefore, we investigate the long-run equilibrium relationship between world energy prices and world food prices using the ARDL approach to cointegration and error correction models. We establish the model by using the quarterly data of 2009Q1-2015Q4 period provided by IMF-IFS database. The empirical results imply that there is a long-term significant statistical relationship between world energy prices and world food prices. This study provides evidences to policy makers for sensible decision, and literature for further researches. These results suggest that policy makers should get under control the energy prices to stabilize the food prices to ensure the food security.

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Kanapienytė, Laura, and Renata Činčikaitė. "EVALUATION OF ATTRACTIVENESS OF THE EU MEMBER STATES FOR FOREIGN DIRECT INVESTMENT." In 12th International Scientific Conference „Business and Management 2022“. Vilnius Gediminas Technical University, 2022. http://dx.doi.org/10.3846/bm.2022.821.

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The world is increasingly being affected by globalisation, and investment is being affected by this continuous process. Investment is an important determinant of a country’s growth, its micro- and macroeconomic development, and the overall economic well-being. Attractiveness for investment is an indicator that reveals accessibility and com-petitiveness of a region with all its material and non-material resources compared to other regions with similar char-acteristics. Based on systematic and comparative literature analysis, this article reviews the concepts of foreign direct investment (FDI) and FDI attractiveness, and examines FDI evaluation methods and models. The major purpose of the article is to evaluate attractiveness of the EU member states for FDI. Research methods: synthesis and comparison of the concepts and methods available in scientific literature, secondary data analysis, statistical data processing, multi-criteria evaluation methods. Results of research: developed model for evaluating the attractiveness of particular coun-tries for FDI comprises three groups of determinants (baseline determinants, political and legal determinants, price and quality determinants), by empirical studies revealed that the countries classified by the United Nations as a group of Western Europe and other countries are most attractive for FDI.

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Reshetnikova, Liudmila G., Natalia B. Boldyreva, Anton P. Devyatkov, Mariya S. Tsyganova, and Danila V. Ovechkin. "Energy determinants of CO2 prices: results of exploratory data analysis." In Sustainable and Innovative Development in the Global Digital Age. Dela Press Publishing House, 2022. http://dx.doi.org/10.56199/dpcsebm.lysy5005.

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The key instrument for regulating the reduction of greenhouse gas (CO2) emissions is the emissions trading system (ETS), which Russia chose to create. One of the key issues for the ETS participants is the mechanism of CO2 pricing. Energy sources are the most important factors in the CO2 price. The study of the relationship between them and the CO2 price at foreign ETSs gives contradictory results. The paper investigates the relationship between energy variables and CO2 price using exploratory analysis tools as the first stage of machine learning. The univariate analysis showed that the laws of price distribution of futures contracts for CO2 and coal are further from normal in comparison with the prices of futures contracts for gas and Brent oil. Logarithmization improved the statistics of the data. Bivariate analysis showed a close relationship between the prices of CO2 and coal futures contracts. The price data for the other energy variables showed a weak to moderate relationship. Correlation analysis, taking into account the different time lags between the energy variables and CO2, indicates that it is appropriate to include past energy price information in the model. The close linear relationships of the energy variables suggest exploring opportunities to reduce the dimensionality of the data. Exploratory analysis revealed groups of data that would be appropriate to describe with different machine learning models. The presence of data groups in the resulting variable indicates the presence of other CO2 pricing factors that should be identified and taken into account in modeling.

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Bulgac, Nicolai. "Reglementarea prețurilor produselor energetice (Pe exemplul produselor petroliere)." In Simpozion Ştiinţific al Tinerilor Cercetători, Ediţia a 21-a. Academy of Economic Studies of Moldova, 2024. http://dx.doi.org/10.53486/sstc.v3.54.

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This article presents the method of forming the market prices of petroleum products in the Republic of Moldova, analyzing the way of determining the ceiling prices for them and the causal relationship between the size of the ceiling price and the prices registered on the market. Following the analysis, it was possible to present the structure and calculation method of the ceiling price set by ANRE and the relationship between the setted ceiling prices and market prices by comparing their evolution over time. The possible positive and negative effects of price regulation for this product category were also analyzed.

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Raporty organizacyjne na temat "Determinant of price"

De, Prabir. Empirical Estimated of Trade Costs for Asia. Inter-American Development Bank, 2006. http://dx.doi.org/10.18235/0011300.

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In this paper, the authors determine how policy and environmental barriers affect international trade, using data at 4-digit HS. The authors estimate a modified gravity equation, controlling for remoteness, for eight sectors in 10 Asian countries. Looking at the impact of the 'non-price' and 'price' factors on international trade, this paper finds that country's tariff, infrastructure quality and transport costs are the main three determinants for cross-country variations of trade flows. The major findings of the paper can be summarised as follows: (i) bilateral infrastructure quality is a principal determinant of trade performance, (ii) bilateral tariffs, which are largely ignored in the empirical gravity literature in context of Asia, has an impact on trade, (iii) the bilateral transport costs strongly influence the trade flows, and (iv) except transport equipment, trade in all other manufacturing sectors, considered in this study, are influenced by tariffs, transport costs and infrastructure quality.

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Llopis, Jimena, José Juan Ruiz, Umberto Muratori, and Alejandro Izquierdo. In Search of Larger Per Capita Incomes: How To Prioritize across Productivity Determinants? Inter-American Development Bank, 2016. http://dx.doi.org/10.18235/0011725.

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This study is a first contribution to prioritization across productivity determinant capabilities that attempts to obtain the equivalent of a "shadow price" for each of these capabilities by estimating their impact on the success a country may have in reaching higher income per capita groups. The prioritization of these determinants-spanning different sectors-seems to be specific to the income per capita group to which a country belongs. Moreover, empirical estimates reveal that interactions among sectors matter for increasing the probability of climbing up the income-per-capita ladder, reflecting the existence of complementarities across sectors, thus indicating that the joint improvement of some of them may be necessary before effects are noticeable. Results also indicate that the identification of priorities by looking at the impact that sectors have on increasing the likelihood of advancing to a better income per capita group may or may not coincide with the size of sector gaps typically used for the determination of priorities, as larger gaps do not necessarily capture the relevance of sectoral restrictions and their interactions.

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Kumar Verma, Akhilesh, and Kieran McQuinn. Assessing expectations of European house prices. ESRI, 2024. https://doi.org/10.26504/qec2024win_sa_verma.

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Using a new database of consumers’ expectations, this paper examines the nature of house price forecasts across a select sample of European Union (EU) member states for the period 2020 to 2024. Across many EU countries, post COVID-19, house price increases have been apparent. Therefore, understanding the dynamics of house price movements is especially important at this time. In particular, we examine the rationality or otherwise of consumers’ house price expectations, and then examine the relationship between the expectations and forecasts of key fundamental determinants of house prices, such as interest rates and income levels. In this way we distinguish our work from most other studies of house price forecasts, which have not examined links between house price forecasts themselves and forecasts of the variables typically assumed to be determining prices. This is particularly relevant as oftentimes house price expectations themselves are influenced by changes in market fundamentals.

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Rud, Juan Pablo, Andres Fernandez, and Matías Busso. Firm Productivity as an Engine of Saving. Inter-American Development Bank, 2016. http://dx.doi.org/10.18235/0009285.

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This technical note considers whether low savings in Latin America and the Caribbean may result from low productivity rather than vice versa. Economies with low TFP growth tend to be economies in which returns to investments are low, with low saving rates as well. In that sense, low TFP growth, by providing weaker incentives to save, could be another determinant of the low saving rates observed in the region. Moreover, firms need to invest, which in turn requires that they can access financial markets. If instead, firms are constrained because of financial frictions, some entrepreneurs may have to run small firms and save in order to fund their projects, slowing down aggregate productivity growth. This note further examines the distribution of private savings in the economy and the behavior of firm saving to explore whether financial frictions distort price signals and incentives to save.

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Hasanov, Fakhri, Muhammad Javid, Jeyhun Mikayilov, Rami Shabaneh, Abdulelah Darandary, and Ryan Alyamani. Macroeconomic and Sectoral Effects of the Natural Gas Price: Policy Insights from a Macroeconometric Model. King Abdullah Petroleum Studies and Research Center, 2023. http://dx.doi.org/10.30573/ks--2022-dp22.

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Macroeconomic and sectoral assessment of the energy price reform (EPR) can provide policymakers with useful insights regarding price deregulation options. A key feature of this research that differentiates it from many other studies is its modeling framework. The framework first estimates how theoretically articulated determinants (e.g., income and price) historically shaped natural gas demand. Then, this estimated equation is integrated into a macroeconometric model called KGEMM to simulate the impact of natural gas prices on key macroeconomic and sectoral indicators that are of policy interest for the coming years.

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Luppold, William G., Jennifer M. Jacobsen, and Jennifer M. Jacobsen. The determinants of hardwood lumber price. U.S. Department of Agriculture, Forest Service, Northeastern Forest Experimental Station, 1985. http://dx.doi.org/10.2737/ne-rp-558.

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Capozza, Dennis, Patric Hendershott, Charlotte Mack, and Christopher Mayer. Determinants of Real House Price Dynamics. National Bureau of Economic Research, 2002. http://dx.doi.org/10.3386/w9262.

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Lopez-de-Silane, Florencio. Determinants of Privatization Prices. National Bureau of Economic Research, 1996. http://dx.doi.org/10.3386/w5494.

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Cheung, Lydia, Jaqueson Galimberti, and Philip Vermeulen. Evidence on the Determinants and Variation of Idiosyncratic Risk in Housing Markets. Asian Development Bank, 2025. https://doi.org/10.22617/wps250202-2.

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This paper shows that housing idiosyncratic risk is time-varying, depends negatively on the house price, varies across locations, and decreases with the holding period. These systematic movements can be associated with information quality and offsetting factors in credit supply. While higher interest rates are associated with reduced idiosyncratic pricing, tighter deposit requirements are associated with higher risk. Idiosyncratic risk is positively associated with excess returns only through risk differences across house prices and holding periods, and not across time and regions.

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