Relevant bibliographies by topics / Pooled OLS regression analysis

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Pooled OLS regression analysis'

Author: Grafiati
Published: 4 June 2021
Last updated: 8 February 2022

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Journal articles on the topic "Pooled OLS regression analysis"

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Vuko, Tina, and Marko Čular. "Finding determinants of audit delay by pooled OLS regression analysis." Croatian Operational Research Review 5, no. 1 (2014): 81–91. http://dx.doi.org/10.17535/crorr.2014.0030.

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Osobajo, Oluyomi A., Afolabi Otitoju, Martha Ajibola Otitoju, and Adekunle Oke. "The Impact of Energy Consumption and Economic Growth on Carbon Dioxide Emissions." Sustainability 12, no. 19 (2020): 7965. http://dx.doi.org/10.3390/su12197965.

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This study explored the effect of energy consumption and economic growth on CO2 emissions. The relationship between energy consumption, economic growth and CO2 emissions was assessed using regression analysis (the pooled OLS regression and fixed effects methods), Granger causality and panel cointegration tests. Data from 70 countries between 1994–2013 were analysed. The result of the Granger causality tests revealed that the study variables (population, capital stock and economic growth) have a bi-directional causal relationship with CO2 emissions, while energy consumption has a uni-directiona
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Khairnar, Rahul Ramesh, Lyudmila DeMora, Howard M. Sandler, et al. "A methodological comparison of mapping algorithms to obtain health utilities derived using cross-sectional and longitudinal data: Secondary analysis of NRG/RTOG 0415." Journal of Clinical Oncology 38, no. 6_suppl (2020): 55. http://dx.doi.org/10.1200/jco.2020.38.6_suppl.55.

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55 Background: To compare the predictive ability of health utility mapping algorithms derived using cross-sectional and longitudinal data specific to the Expanded Prostate Cancer Index Composite (EPIC). Methods: This mapping study utilized data from an international, multicenter, randomized controlled trial of patients with low-risk prostate cancer conducted by NRG Oncology (NCT00331773). Health-related quality-of-life (HRQoL) data were collected using EPIC, and health utilities were obtained using EuroQOL-5D (EQ5D) at baseline and 6, 12 and 24 months post-intervention. Data were split into an
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Pertiwi, Dewi, Sautma Ronni Basana, and Marcella Grace Yasinta. "Decisions for Stock Investment among University Students." SHS Web of Conferences 76 (2020): 01005. http://dx.doi.org/10.1051/shsconf/20207601005.

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This study aimed to investigate the effect of economic value added and profitability on created shareholders value Fernandez model and market value added model in manufacturing companies listed on the Indonesia Stock Exchange period year 2013 to 2018. The samples are fifty Manufacturing companies enterprises listed on the IDX period year 2013 to 2018. Methods of data analysis was performed using panel data regression with pooled OLS model. The results of this analysis showed profitability have a significant effect on created shareholders value Fernandez model and market value added model in ma
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Ronni Basana, Sautma, Ricky Julio, and Christina Soehono. "Economic Value Added and Profitability on Created Shareholders Value in Manufacturing Sectors." SHS Web of Conferences 76 (2020): 01051. http://dx.doi.org/10.1051/shsconf/20207601051.

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This study aimed to investigate the effect of economic value added and profitability on created shareholders value Fernandez model and market value added model in manufacturing companies listed on the Indonesia Stock Exchange period year 2013 to 2018. The samples are fifty Manufacturing companies enterprises listed on the IDX period year 2013 to 2018. Methods of data analysis were performed using panel data regression with pooled OLS model. The results of this analysis showed profitability has a significant effect on created shareholders value Fernandez model and market value-added model in ma
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Ekumankama, Ogbuagu Onu. "The impact of financial structure on profitability of firms: a cross-sectional industry analysis of Nigerian quoted firms." Corporate Ownership and Control 9, no. 1 (2011): 415–27. http://dx.doi.org/10.22495/cocv9i1c4art1.

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This study empirically examines the impact of financial structure decision on the profitability of Nigerian quoted firms. Cross-sectional time series data of 72 Nigerian quoted firms were collated and analysed. Two hypotheses were proposed for the study, while the ordinary least square (OLS), fixed-effects (FE) and the gerneralised least square (GLS) regression were used on pooled and panel data to estimate the relationship between financial leverage and the different measures of profitability in Nigeria quoted firms. In determining the extent of the influence of leverage on the dependent vari
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PhD Candidate, Pius Ayekeh Tachang,, Dobdinga Cletus Fonchamnyo, Associate Professor, and Edokat Edward Oki Tafah, Professor. "Government Compliance with Public Procurement Policy and Performance of Construction Enterprises in Cameroon: A Micro Panel Modelling Approach." Urban Studies and Public Administration 3, no. 3 (2020): p56. http://dx.doi.org/10.22158/uspa.v3n3p56.

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This paper aimed to investigate the implication of government compliance with public procurement policy for the performance of enterprises operating in the construction sector in Cameroon. To achieve its objectives, the paper made use of a micro panel collected with the help of structured questionnaires. The Pooled OLS and the random versus fixed effects models were used for the analyses. Findings revealed that the contract winning rate of construction enterprises increases monotonically over the period under study. While the performance of construction enterprises stagnated over the period 20
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Mintargo, Mintargo, Barika Barika, and Edy Rahmantyo. "Identifikasi Faktor Yang Mempengaruhi Kemiskinan Di Provinsi Bengkulu." PARETO : Jurnal Ekonomi dan Kebijakan Publik 1, no. 1 (2018): 1. http://dx.doi.org/10.32663/pareto.v1i1.350.

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The purpose of this research is to analyze the effect of unemployment with skill (X1), amount of population (X2), and minimum of wage region (X3) against proverty (Y) in Bengkulu Province. The method of analysis by an Ordinary Least Square (OLS). The data that used in this research is pooled data from BPS (Badan Pusat Statistik) of Bengkulu Province and Bapenas (period of data is 2009 � 2013 ). From the output of regression with Eviews (econometric views) aplication indicated that amount of population (X2) having significant effect against proverty (Y). unemployment with skill (X1) is not sign
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Bello, Mohammed Sabo, Ridzwana Mohd Said, Jalila Johari, and Fakarudin Kamarudin. "Moderating Role of Corruption Control on firm level determinants of Corporate Sustainability Disclosure Compliance in Nigeria." Asia Proceedings of Social Sciences 6, no. 2 (2020): 178–82. http://dx.doi.org/10.31580/apss.v6i2.1335.

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This paper explores the moderating effect of corruption control in strengthening the influence of firm attributes on corporate sustainability disclosure compliance in Nigeria. The study focuses on the existing discussion on mandatory disclosure compliance with corporate governance code. The extent of disclosure compliance is measured using a total unweighted disclosure index, developed from a panel dataset of 118 companies listed in the Nigerian capital market. The companies were selected using a proportionate stratified sampling technique. The dataset for the period of 2011 to 2017 were first
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Dao, Le Kieu Oanh, Thuy Tu Pham, and Van Chien Nguyen. "Factors Affecting the Competitive Capacity of Commercial Banks: A Critical Analysis in an Emerging Economy." International Journal of Financial Research 11, no. 4 (2020): 241. http://dx.doi.org/10.5430/ijfr.v11n4p241.

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This research was conducted to investigate the factors influencing the commercial bank’s competitive capacity in an emerging country. Data were collected from the domestic-owned commercial banks and foreign-owned commercial banks listed on Vietnam’s Stock Exchange over the period of nine years from 2010 to 2018. Three statistic approaches were employed to address econometrics issues and to improve the accuracy of the regression coefficients: Pooled Ordinary Least Square (Pooled OLS), Random Effects Model (REM), and Fixed Effects Model (FEM). To correct the diagnostics and endogeneity in the mo
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Dissertations / Theses on the topic "Pooled OLS regression analysis"

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Sjölin, Carin. "The impact of governance on inequality : An empirical study." Thesis, Södertörns högskola, Nationalekonomi, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:sh:diva-31304.

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This paper examines the effect of governance on inequality, specifically if improvements in the World Bank’s Worldwide Governance Indicators affect inequality as measured by two Gini coefficients: Market Gini, before taxes and redistribution, and Net Gini, after taxes and redistribution. The data for the Gini measurements was taken from the Standardized World Income Inequality Database (SWIID) and the data for the Worldwide Governance Indicators was taken from the World Bank. Data for fifteen (15) years, from the start of the Worldwide Governance Indicators until 2013, was combined with data f
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Sandrock, Brian Arthur. "Spatial Analysis of Foreclosures in Hillsborough County." Scholar Commons, 2014. https://scholarcommons.usf.edu/etd/5438.

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This study examines the spatial impact various socio-demographic and housing factors might have in the foreclosure lis pendens rate within various Hillsborough County, Florida tracts as well as comparing those results with past research. Hopefully the techniques used in this study can be implemented elsewhere in order to better study the foreclosure crisis. The methods used within this research were chosen carefully in order to best understand what is being observed. One method is OLS regression which helps see the impact of each variable and if that impact has a negative or positive effect on
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Li, Yang. "An Empirical Analysis of Family Cost of Children : A Comparison of Ordinary Least Square Regression and Quantile Regression." Thesis, Uppsala University, Department of Statistics, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-126660.

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<p>Quantile regression have its advantage properties comparing to the OLS model regression which are full measurement of the effects of a covariate on response, robustness and Equivariance property. In this paper, I use a survey data in Belgium and apply a linear model to see the advantage properites of quantile regression. And I use a quantile regression model with the raw data to analyze the different cost of family on different numbers of children and apply a Wald test. The result shows that for most of the family types and living standard, from the lower quantile to the upper quantile the
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Nevarez, Martinez Deyanira. "Identifying Housing Patterns in Pima County, Arizona Using the DEYA Affordability Index and Geospatial Analysis." The University of Arizona, 2015. http://hdl.handle.net/10150/576108.

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When the Fair Housing Act of 1968 was passed 47 years ago, the United States was in the midst of the civil rights movement and fair housing was identified as a pillar of equality. While, progress has been made, there is much work that needs to be done in order to achieve integration. As a country, the United States is a highly segregated country. It is important to understand the factors that contribute to this and it is important to understand the relationships that exists between them in order to attempt to solve the problem. While the legal barriers to integration have been lifted choices c
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Shalhoob, Hebah Shafeq. "A comparative analysis of risk-return characteristics between Sukuk (Islamic bonds) and conventional bonds." Thesis, Robert Gordon University, 2016. http://hdl.handle.net/10059/1574.

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Sukuk are an important mode of financing in the Islamic financial system. As usury (interest) is prohibited in Islam, conventional bonds are not suitable for investors in Islamic countries. Since their launch in the 1980s, Sukuk have gained recognition and popularity as a substitute for conventional bonds. However, their unique features mean that Sukuk are not always clearly understood. The aim of this study is to analyse the differences and similarities between Sukuk and conventional bonds in terms of their risk and return characteristics.
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Alves, Paula Cristina Sampaio. "Desempenho dos Bancos Alimentares Contra a Fome de Portugal Continental : caracterização e análise de eficiência." Master's thesis, Instituto Superior de Economia e Gestão, 2016. http://hdl.handle.net/10400.5/12857.

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Mestrado em Decisão Económica e Empresarial<br>Este relatório está assim dividido em três partes. Na primeira parte podemos encontrar uma breve apresentação relativa aos Bancos Alimentares, incidindo na sua história e funcionamento. Na segunda parte foi realizada uma Análise de Clusters, aos dezoito BAs de Portugal Continental, com o objetivo de classificar os BAs em grupos. Esta foi dividida em duas fases: numa primeira fase os BAs foram agrupados com base nas características internas de cada um, de modo a classificá-los de acordo com a sua dimensão - pequenos, médios ou grandes. Numa segunda
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Annink, Marit, and Rebecca Larsson. "Introduction of the Academic Factor Quality Minus Junk to a Commercial Factor Model and its Effect on the Explanatory Power. An OLS Regression on Stock Returns." Thesis, KTH, Matematisk statistik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254296.

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The ability to predict stock returns is an ability many wish to possess, and in an accurate way as possible. For many years there has been an interest in the field of factor models explaining the returns, with the aim to increase the explanatory power. This is however a complex business since the factors and their improvement of explanatory power need to be significant. Now and then, researchers come up with new significant factors that have a positive impact on models. AQR Capital Management is no exception to this, since they in 2013 presented the factor Quality Minus Junk, earning significa
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Cau, Nicklasson Ronnie, and Simon Hansson. "Investment Companies’ Discount Fluctuation on the Swedish Market : A statistical analysis regarding different micro- and macroeconomic factors influence on Swedish closed-end funds’ discount." Thesis, Internationella Handelshögskolan, Högskolan i Jönköping, IHH, Economics, Finance and Statistics, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-21250.

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Closed-end funds’ (CEF) discount and discount fluctuations have been puzzling researchers for decades. Up to date, there are no multidimensional or cross-sectional variables that have been proved to influence CEFs simultaneously. Fact is that, earlier research and theories on the subject are contradictious and several suggestions on the origin of the CEF’s discount and its fluctuations have been proposed. To mention a few, investor sentiments, taxation issues, dividend policies, agency costs and agency problems are considered to influence these discounts. The purpose of this report is to exami
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Diallo, Ibrahima Amadou. "Exchange rates policy and productivity." Thesis, Clermont-Ferrand 1, 2013. http://www.theses.fr/2013CLF10405/document.

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Cette thèse étudie comment le taux de change effectif réel (TCER) et ses mesures associées (volatilité du TCER et désalignement du TCER) affectent la croissance de la productivité totale des facteurs (CPTF). Elle analyse également les canaux par lesquels le TCER et ses mesures associées agissent sur la productivité totale des facteurs (PTF). La première partie étudie comment le TCER lui-Même, d'une part, et la volatilité du TCER, d'autre part, influencent la productivité. Une analyse du lien entre le niveau du TCER et la PTF dans le chapitre 1 indique qu'une appréciation de taux de change caus
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Verhaeghe, Joseph Rene Stephen. "Optimal mineral taxation in Manitoba: an exploration of Monte Carlo simulation analysis." 2014. http://hdl.handle.net/1993/24021.

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Manitoba has abundant mineral deposits and the mining sector is significant for its economy, especially outside the capital region. This paper examines the Manitoba mining taxation regime, using two approaches. First, a conventional regression analysis is used to estimate the impact of the 2009 mining tax cut on Northern employment and capital investment. This approach potentially offers a general indication of how tax policy influences economic advantages. Unfortunately, data limitations impede the analysis. Second, a mining firm is modelled to directly examine the effect of various tax struc
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Books on the topic "Pooled OLS regression analysis"

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Baddeley, Michelle. Running regressions: A practical introduction to OLS in economics, finance and development studies. Cambridge University Press, 2009.

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Belzil, Christian. A structural analysis of the correlated random coefficient wage regression model with an application to the ols-iv puzzle. IZA, 2005.

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Halperin, Sandra, and Oliver Heath. 17. A Guide to Multivariate Analysis. Oxford University Press, 2017. http://dx.doi.org/10.1093/hepl/9780198702740.003.0017.

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This chapter extends the principles of bivariate analysis to multivariate analysis, which takes into account more than one independent variable and the dependent variable. With multivariate analysis, it is possible to investigate the impact of multiple factors on a dependent variable of interest, and to compare the explanatory power of rival hypotheses. Multivariate analysis can also be used to develop and test multi-causal explanations of political phenomena. After providing an overview of the principles of multivariate analysis, and the different types of analytical question to which they ca
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Li, Quan. Using R for Data Analysis in Social Sciences. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190656218.001.0001.

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This book seeks to teach undergraduate and graduate students in social sciences how to use R to manage, visualize, and analyze data in order to answer substantive questions and replicate published findings. This book distinguishes itself from other introductory R or statistics books in three ways. First, targeting an audience rarely exposed to statistical programming, it adopts a minimalist approach and covers only the most important functions and skills in R that one will need for conducting reproducible research projects. Second, it emphasizes meeting the practical needs of students using R
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Halperin, Sandra, and Oliver Heath. 16. Patterns of Association. Oxford University Press, 2017. http://dx.doi.org/10.1093/hepl/9780198702740.003.0016.

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This chapter discusses the principles of bivariate analysis as a tool for helping researchers get to know their data and identify patterns of association between two variables. Bivariate analysis offers a way of establishing whether or not there is a relationship between two variables, a dependent variable and an independent variable. With bivariate analysis, theoretical expectations can be compared against evidence from the real world to see if the theory is supported by what is observed. The chapter examines the pattern of association between dependent and independent variables, with particu
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Franzese, Robert J., and Jude C. Hays. Empirical Models of Spatial Inter‐Dependence. Edited by Janet M. Box-Steffensmeier, Henry E. Brady, and David Collier. Oxford University Press, 2009. http://dx.doi.org/10.1093/oxfordhb/9780199286546.003.0025.

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This article discusses the role of ‘spatial interdependence’ between units of analysis by using a symmetric weighting matrix for the units of observation whose elements reflect the relative connectivity between unit i and unit j. It starts by addressing spatial interdependence in political science. There are two workhorse regression models in empirical spatial analysis: spatial lag and spatial error models. The article then addresses OLS estimation and specification testing under the null hypothesis of no spatial dependence. It turns to the topic of assessing spatial lag models, and a discussi
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Book chapters on the topic "Pooled OLS regression analysis"

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Wang, Yousong, Yakun Li, and Hongyang Li. "Evaluating the Competitiveness of the Chinese Listed Construction Enterprises Based on OLS Regression Analysis Model." In Proceedings of the 24th International Symposium on Advancement of Construction Management and Real Estate. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8892-1_54.

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Wiersema, Margarethe F., and Harry P. Bowen. "Empirical Methods in Strategy Research: Regression Analysis and the Use of Cross-Section Versus Pooled Time-Series, Cross-Section Data." In Statistical Models for Strategic Management. Springer US, 1997. http://dx.doi.org/10.1007/978-1-4757-2614-5_9.

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Mercer, Hannah C., and Patrick S. Edwards. "An Analysis of Gender Inequality in Professional Tennis." In Applied Econometric Analysis. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1093-3.ch006.

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This paper examines the gender wage gap in professional sports using a pooled cross-section of professional tennis players across the years 2011-2017. The dependent variable is the prize money earned by the top fifty male and top fifty female ranked tennis players throughout the world. This prize money is measured in 2017 real dollar value. The independent variables include: number of tournaments played, age, rank differentiation, gender, country and WTA/ATP score. Gender inequality is measured by determining the wage gap shown through the mean prize money earned by the professional tennis players from 2011-2017. While prize money for men and women has recently become equal in the Grand Slam tournaments, there is evidence to show that women's prize money is considerably lower in the less-publicized tournaments. Results of the ordinary least squares (OLS) regressions suggest that there is evidence for a gender-related pay disparity in professional tennis due to a number of statistically significant variables including WTA/ATP score (+), age (+), country (+) and the gender (-) and year (+) dummies.
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Şen, Süleyman, and Süreyya Kovacı. "The Impact of the COVID-19 Pandemic on the Tourism Economy." In Handbook of Research on the Impacts and Implications of COVID-19 on the Tourism Industry. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-8231-2.ch008.

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This chapter seeks to examine the impact of COVID-19 on the Turkish tourism economy. Towards this end, first of all, tourist arrivals and tourism income of Turkey were compared between pre-pandemic and within the pandemic period. Afterwards, to investigate whether COVID-19 leads to a decrease in stock prices of tourism firms, the return data of 11 firms listed in the Borsa Istanbul restaurants and hotels subsector for 10 months were examined by panel data methods. According to comparison of tourist arrivals and tourism income to the previous year, there was a vital decrease as 69% and 65% respectively in 2020. Moreover, coverage rate of foreign trade deficit of tourism income in Turkey decreased almost 80% in 2020. Overall, results of pooled OLS regression analysis revealed that COVID-19 cases and COVID-19-related deaths were decreasing monthly stock price returns. Based on these findings, it is recommended to policymakers to find better policies for a better tourism economy.
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Marcinkiewicz, Kamil, and Kai-Uwe Schnapp. "Regression Analysis." In Research Methods in the Social Sciences: An A-Z of key concepts. Oxford University Press, 2021. http://dx.doi.org/10.1093/hepl/9780198850298.003.0054.

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This chapter evaluates regression analysis, which uses quantitative and sometimes also qualitative independent variables to explain or predict change in a quantitative dependent variable. To attain this goal, it relies on the principles of covariance and correlation. Its most basic form is linear regression, also known as ordinary least squares (OLS) regression. In addition, there are many other varieties of regression methods for different research questions and data characteristics, such as time-oriented questions or data with a limited range of values. Researchers use regression analysis especially to analyse complex patterns of correlation in situations with more than one explanatory variable. Often such patterns are interpreted in the context of causal theories. The concept of regression goes back to Francis Galton’s study on human height.
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Li, Quan. "Regression Diagnostics and Sensitivity Analysis." In Using R for Data Analysis in Social Sciences. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190656218.003.0006.

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This chapter shows why the Gauss-Markov assumptions are important in ordinary least squares (OLS) regression, how to diagnose assumption violations in OLS regression, and how to conduct sensitivity analysis and correct for some assumption violations. The issues covered include linearity and model specification, perfect and high multicollinearity, constant error variance, independence of error term observations, outlier and influential observations, and normality test. A mastery of materials in this chapter is necessary for systematic data analysis of a continuous outcome variable in a cross-sectional design
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Li, Quan. "Regression Analysis." In Using R for Data Analysis in Social Sciences. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190656218.003.0005.

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This chapter teaches how to use R to conduct regression analysis to answer the question: Does trade promote economic growth? It demonstrates how to specify a statistical model from a theoretical argument, prepare data, estimate and interpret the statistical model, and use the estimated results to make inferences and answer the question of interest. More specifically, it discusses the logic of regression analysis, the relationship between population and sample regression models, how to estimate a regression model in theory and practice, the estimation of sample regression model using OLS (ordinary least squares), the interpretation of estimation results, the statistical inference in regression analysis using hypothesis testing and confidence interval, the types of sum of squares and overall model fit, and how to report the model results. The validity of regression analysis is contingent upon the assumptions of the Gauss-Markov theorem being met.
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"(A)Spatial Regression." In Spatial Analysis Techniques Using MyGeoffice®. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-3270-5.ch004.

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The global spatial lag model for stationary processes (Y=?WY+Xß+e, where W represents the neighborhood matrix while ? is the spatial autoregressive coefficient) and the spatial regimes (individual regression for each sub-region), developed within SpaceStat®, are two possibilities. An extra option is the local continuous variation framework computed by the Geographically Weighted Regression (GWR). The idea here is to adjust a regression model (the ßs of the regression model are not the same everywhere) by weighting the neighborhood observations. In this way, the estimation computation will reflect automatic adjustments, according to the distance and values of the available samples. Section “Geographically Weighted Regression” introduces this matter while the next two sections review the conventional bivariate and multivariate OLS regression, respectively. As an extension of the OLS family, non-linear relationships, regression with dummy variables, path analysis and logistic regression are briefly explained under the following section three although myGeoffice© does not cover these practices. Spearman Rank Correlation for ordinal data is presented in the last section.
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"APPENDIX 4.A. Parallel Between OLS Regression and Linear Projection." In Time Series Analysis. Princeton University Press, 1994. http://dx.doi.org/10.1515/9780691218632-034.

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Imran, Mohammed, Mohammad Ashraful Ferdous Chowdhury, and Mosharrof Hosen. "Financial Development, Technological Development, and Poverty." In Advances in Human Resources Management and Organizational Development. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-4056-4.ch008.

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This study aims to explore the impact of financial development, technological development on poverty for Asian and Non-Asian countries. In order to test the proposed model, five years' data from 80 countries over the year 2008 to 2014 have been collected. This study uses the Pooled OLS regression and found that poverty has a significant relationship with inflation and unemployment. However, technological advancement has found negatively and statistically significant with poverty. Furthermore, this study found that the Asian region has poverty reduction effect in comparing other regions when technological advancement speeds up.
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Conference papers on the topic "Pooled OLS regression analysis"

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XUE, Yuhao, Shixuan WANG, Bijun ZHU, and Bin LIU. "The Impact of Firm Informationization on Audit Fee: Based on the Analysis of OLS Regression Model." In 2020 2nd International Conference on Economic Management and Model Engineering (ICEMME). IEEE, 2020. http://dx.doi.org/10.1109/icemme51517.2020.00009.

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Yining, Deng, Niu Mandi, and Zhang Qingyu. "The Empirical Analysis of the Influence of Urban Innovation Ability on the Economic growth Based on the Least Square Regression Model (OLS)." In 2021 International Conference on Financial Management and Economic Transition (FMET 2021). Atlantis Press, 2021. http://dx.doi.org/10.2991/aebmr.k.210917.083.

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Philip, G., C. Le Bailly De Tilleghem, AS Swern, T. Loeys, and SS Smugar. "Baseline Predictors of Placebo Response in Exercise-Induced Bronchoconstriction (EIB): Pooled Regression Analysis of 3 Studies of Montelukast in EIB." In American Thoracic Society 2009 International Conference, May 15-20, 2009 • San Diego, California. American Thoracic Society, 2009. http://dx.doi.org/10.1164/ajrccm-conference.2009.179.1_meetingabstracts.a2802.

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Zhang, Lingang, and Chao Zhou. "The influence of OFDI model difference on the brand value of Chinese enterprises: -- OLS regression and analysis based on A-share listed company data." In 2020 16th Dahe Fortune China Forum and Chinese High-educational Management Annual Academic Conference (DFHMC). IEEE, 2020. http://dx.doi.org/10.1109/dfhmc52214.2020.00056.

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Blazheska, Angela, and Igor Ivanovski. "QUANTITATIVE ANALYSIS OF THE OPERATIONAL PERFORMANCE OF THE SELECTED NON-LIFE INSURANCE COMPANIES IN THE INSURANCE MARKET OF REPUBLIC OF NORTH MACEDONIA." In Economic and Business Trends Shaping the Future. Ss Cyril and Methodius University, Faculty of Economics-Skopje, 2020. http://dx.doi.org/10.47063/ebtsf.2020.0030.

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The aim of this paper is to analyze the operational performance of the 5 dominant companies on the non-life insurance market in Republic of North Macedonia. As input in the analysis, the quarterly data for the 2009-2019 period is included for the key indicators such as the gross written premium (GWP), the gross liquidated damages, the number of insurance contracts and settled claims as well as the operating costs of the companies. These variables are observed through OLS (Ordinary Least Squares) regression analysis and VAR (Vector Autoregressive) model which demonstrates the dependence of the
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Brown, Jeffrey M., Emily B. Carper, Joseph A. Beck, and Alexander A. Kaszynski. "Emulation of As-Manufactured Transonic Rotor Airfoil Modal Behavior and the Significance of Frequency Veering." In ASME Turbo Expo 2019: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/gt2019-91670.

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Abstract This effort investigates the ability to efficiently emulate the modal characteristics of a transonic compressor rotor as a function of measured geometric variations. The transonic rotor is measured with a structured blue light scanner that provides a dense geometric representation of the as-manufactured part. Principal component analysis (PCA) is applied to create a reduced order, orthogonal basis of parameters used as independent emulator parameters. Ordinary least squares (OLS) and Gaussian stochastic process (GSP) regression models are employed as emulators for airfoil frequency an
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Birškytė, Liucija. "The impact of government debt on public finance stability in Lithuania." In Contemporary Issues in Business, Management and Economics Engineering. Vilnius Gediminas Technical University, 2019. http://dx.doi.org/10.3846/cibmee.2019.030.

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Purpose – though the global financial crisis is well behind us several EU countries continue to experience problems with public finance stability and need to cope with the consequences of high public debt. The purpose of the article is to find the relationship between government debt and of public finance stability in Lithuania. Research methodology – in order to achieve the aim of the article Financial Stability Index (FSI) for Lithuania has been created. It is based on theory and previous research. To find the determinants of FSI the multiple regression analysis model was specified and teste
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Makrevska Disoska, Elena, and Katerina Shapkova Kocevska. "THE IMPACT OF HUMAN FREEDOMS ON ECONOMIC GROWTH." In Economic and Business Trends Shaping the Future. Ss Cyril and Methodius University, Faculty of Economics-Skopje, 2020. http://dx.doi.org/10.47063/ebtsf.2020.0016.

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The impact of formal institutions, including rule of law, human rights, and civil liberties on economic growth has been in the focus of the latest research agenda of the new institutional economics due to the current pandemic of the Corona-19 virus. Some limitations are necessary to be imposed to address a pandemic, but this is a real risk of lasting deterioration in basic human freedoms. Increased surveillance, restrictions on free expression and information, and limits on public participation are becoming increasingly common. The present fear is that the authorities worldwide are using the c
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Koşan, Naime İrem, and Sudi Apak. "Trade Openness and Macroeconomic Policy in OECD Countries." In International Conference on Eurasian Economies. Eurasian Economists Association, 2015. http://dx.doi.org/10.36880/c06.01373.

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Trade openness has been subject to an important issue many studies in literature. It allows us to analyze potential trade as a percentage of gross domestic product. Total value of international trade in goods and services shows the countries’ integration into the world economy. Generally, small countries are more integrated because of their dependency on imports. On the other hand, there many variables which effects trade integration. Our study focuses on to analyze the effects on trade openness and make inferences for OECD countries.&#x0D; In this paper we aim to examine the relationship betw
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Koşan, Naime İrem, Sudi Apak, and Selahattin Sarı. "International Trade and Macro-Economic Policy in Eurasian Economies." In International Conference on Eurasian Economies. Eurasian Economists Association, 2016. http://dx.doi.org/10.36880/c07.01494.

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International trade is defined the exchange of goods, services, and capital among various countries and regions. Also the potential of imports and exports account for an important part of growth. On the other hand, total value of international trade in goods and services shows the countries’ integration into the world economy. In this paper we focused on to analyze the effects on imports and make inferences for Eurasian Countries.&#x0D; In this paper we aim to examine the relationship between imports and macro-economic indicators in 6 Eurasian economies. To analyze the relationship, we used pa
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Reports on the topic "Pooled OLS regression analysis"

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Villamizar-Villegas, Mauricio, and Yasin Kursat Onder. Uncovering Time-Specific Heterogeneity in Regression Discontinuity Designs. Banco de la República de Colombia, 2020. http://dx.doi.org/10.32468/be.1141.

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The literature that employs Regression Discontinuity Designs (RDD) typically stacks data across time periods and cutoff values. While practical, this procedure omits useful time heterogeneity. In this paper we decompose the RDD treatment effect into its weighted time-value parts. This analysis adds richness to the RDD estimand, where each time-specific component can be different and informative in a manner that is not expressed by the single cutoff or pooled regressions. To illustrate our methodology, we present two empirical examples: one using repeated cross-sectional data and another using
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Stark, Sasha, Heather Wardle, and Isabel Burdett. Examining lottery play and risk among young people in Great Britain. GREO, 2021. http://dx.doi.org/10.33684/2021.002.

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Purpose &amp; Significance: Despite the popularity of lottery and scratchcards and some evidence of gambling problems among players, limited research focuses on the risks of lottery and scratchcard play and predictors of problems, especially among young people. The purpose of this project is to examine whether lottery and scratchcard participation is related to gambling problems among 16-24 year olds in Great Britain and whether general and mental health and gambling behaviours explain this relationship. Methodology: Samples of 16-24 year olds were pooled from the 2012, 2015, and 2016 Gambling
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