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Letteratura scientifica selezionata sul tema "Consumer price indexes – Data processing"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 19 febbraio 2022

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Articoli di riviste sul tema "Consumer price indexes – Data processing"

1

Saad, Ammar, Ruitao Zhang, and Ying Xia. "The Policy Analysis Matrix (PAM): Comparative Advantage of China’s Wheat Crop Production 2017." Journal of Agricultural Science 11, no. 17 (October 15, 2019): 150. http://dx.doi.org/10.5539/jas.v11n17p150.

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As the third-largest crop in China, wheat production plays an essential role in China&#39;s agricultural production, food processing and consumption structure. Besides, China is the world&rsquo;s largest wheat producer and consumer, where it produces 14.83% of the world&#39;s total wheat production in 2017. So it is necessary to analyze and evaluate the government policy for wheat production in China using PAM. This research depends on the data has issued by the National Development and Reform Commission/China statistics press 2018 (National farm production cost-benefit survey 2017

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2

Asano, Seki, and Eduardo P. S. Fiuza. "Estimation of the Brazilian Consumer Demand System." Brazilian Review of Econometrics 23, no. 2 (November 2, 2003): 255. http://dx.doi.org/10.12660/bre.v23n22003.2726.

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In this study we estimate the Brazilian consumer demand system through family expenditure data, which cover all consumption categories. The model is estimated from family-level expenditures on seven consumption categories, and a new set of regional cost-of-living indexes. The sources for expenditures are the national household expenditure surveys (POFs) conducted in 1987/88 and 1995/96, which collected data from eleven metropolitan areas. To the best of our knowledge this is the first study of this type and extent based on both waves of POF. Corresponding price indexes were constructed from de

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3

Faryna, Oleksandr, Oleksandr Talavera, and Tetiana Yukhymenko. "What Drives the Difference between Online and Official Price Indexes?" Visnyk of the National Bank of Ukraine, no. 243 (March 29, 2018): 21–30. http://dx.doi.org/10.26531/vnbu2018.243.021.

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This paper examines the associations between online price indexes and official statistics. First, we generate online CPI component sub-indexes, which are later aggregated to an Online Price CPI. This approach is applied to our unique dataset which contains about 3 million observations of online retail prices for consumer goods in Ukraine’s five largest cities. The data span over the period 2016m1 – 2017m12 and cover about 46% of Ukraine’s Consumer Price Inflation basket. We find that online inflation is generally consistent with official estimates, but the matching capability varies across sub

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4

Krsinich, Frances. "The FEWS Index: Fixed Effects with a Window Splice." Journal of Official Statistics 32, no. 2 (June 1, 2016): 375–404. http://dx.doi.org/10.1515/jos-2016-0021.

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Abstract This article describes the estimation of quality-adjusted price indexes from ‘big data’ such as scanner and online data when there is no available information on product characteristics for explicit quality adjustment using hedonic regression. The longitudinal information can be exploited to implicitly quality-adjust the price indexes. The fixed-effects (or ‘time-product dummy’) index is shown to be equivalent to a fully interacted time-dummy hedonic index based on all price-determining characteristics of the products, despite those characteristics not being observed. In production, t

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5

Juszczak, Adam. "The use of web-scraped data to analyze the dynamics of footwear prices." Journal of Economics and Management 43 (2021): 251–69. http://dx.doi.org/10.22367/jem.2021.43.12.

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Aim/purpose – Web-scraping is a technique used to automatically extract data from websites. After the rise-up of online shopping, it allows the acquisition of information about prices of goods sold by retailers such as supermarkets or internet shops. This study examines the possibility of using web-scrapped data from one clothing store. It aims at comparing known price index formulas being implemented to the web-scraping case and verifying their sensitivity on the choice of data filter type. Design/methodology/approach – The author uses the price data scrapped from one of the biggest online sh

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6

Bessonov, Vladimir. "What Opportunities Do New Technologies Bring About for Price Statistics?" Russian Journal of Money and Finance 80, no. 1 (March 2021): 120–26. http://dx.doi.org/10.31477/rjmf.202101.120.

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The paper discusses new opportunities for Russian price statistics that present-day information and communication technologies bring about. The paper is a response to the study Isakov et al. (2021) dedicated to the effort of developing a toolset to build a price quotation database through automated internet data collection and construction of consumer price indexes based on it. Discussed are the potential implications of this activity for price statistics.

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Cavallo, Alberto, and Roberto Rigobon. "The Billion Prices Project: Using Online Prices for Measurement and Research." Journal of Economic Perspectives 30, no. 2 (May 1, 2016): 151–78. http://dx.doi.org/10.1257/jep.30.2.151.

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A large and growing share of retail prices all over the world are posted online on the websites of retailers. This is a massive and (until recently) untapped source of retail price information. Our objective with the Billion Prices Project, created at MIT in 2008, is to experiment with these new sources of information to improve the computation of traditional economic indicators, starting with the Consumer Price Index. We also seek to understand whether online prices have distinct dynamics, their advantages and disadvantages, and whether they can serve as reliable source of information for eco

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8

Saputra, Igo Septa, Zulfanetti Zulfanetti, and Jaya Kusuma Edi. "Analisis faktor-faktor yang mempengaruhi Tingkat Partisipasi Angkatan Kerja (TPAK) di Provinsi Jambi." e-Jurnal Ekonomi Sumberdaya dan Lingkungan 8, no. 2 (July 1, 2019): 68–81. http://dx.doi.org/10.22437/jels.v8i2.11984.

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This research aim to: First, analyze the development of labor force participation rate, minimum wages, consumer price index and gross regional domestic product in Jambi Province. This study use time series data between 2000-2017 with data analysis method used namely quantitative descriptive analysis and Ordinary Least Square (OLS) method. Based on the result of data processing using the OLS method in multiple regression equations in 2000-2017 results were obtained. That the average development of the labor force participation rate, minimum wage, consumer price index and gross regional domestic

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9

Cheng, Andy Wui Wing, and Iris Wing Han Yip. "China’s Macroeconomic Fundamentals on Stock Market Volatility: Evidence from Shanghai and Hong Kong." Review of Pacific Basin Financial Markets and Policies 20, no. 02 (May 18, 2017): 1750014. http://dx.doi.org/10.1142/s021909151750014x.

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This paper examines the effect of Chinese macroeconomic variables, the industrial production growth rate, the producer price index, the 3-month short-term Shanghai Interbank Offer Rate and the consumer price index, on the volatility of the Shanghai and Hong Kong stock markets. We apply the generalized autoregressive conditional heteroskedastic mixed data sampling model for the study. Our empirical findings on various indexes and enterprises in the Shanghai and Hong Kong markets show that Chinese macroeconomic variables have a greater power to explain the volatility in Hong Kong than in Shangha

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10

Greenlees, John S., and Robert McClelland. "Does Quality Adjustment Matter for Technologically Stable Products? An Application to the CPI for Food." American Economic Review 101, no. 3 (May 1, 2011): 200–205. http://dx.doi.org/10.1257/aer.101.3.200.

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Most indexes in the Consumer Price Index (CPI) use a form of the “matched-model” approach. It is frequently assumed that this approach accurately reflects inflation for items that have no major trend in quality. In this paper we investigate that hypothesis using CPI data for retail food items. We find that CPI analysts may be correct on average when they decide that new and replacement items are similar in quality. We also find, however, that when sample items are replaced by items of significantly different quality the CPI imputation procedures may underestimate price change and overstate qua

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Più fonti

Tesi sul tema "Consumer price indexes – Data processing"

1

Heinze, Christian [Verfasser], Harry [Akademischer Betreuer] Haupt, and Dietmar [Akademischer Betreuer] Bauer. "A framework for spatiotemporal prediction with small and heterogeneous data - and an application to consumer price indexes - / Christian Heinze ; Harry Haupt, Dietmar Bauer." Bielefeld : Universitätsbibliothek Bielefeld, 2016. http://d-nb.info/1119981298/34.

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2

Ivancic, Lorraine Economics Australian School of Business UNSW. "Scanner data and the construction of price indices." 2007. http://handle.unsw.edu.au/1959.4/40782.

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This thesis explores whether scanner data can be used to inform Consumer Price Index (CPI) construction, with particular reference to the issues of substitution bias and choice of aggregation dimensions. The potential costs and benefits of using scanner data are reviewed. Existing estimates of substitution bias are found to show considerable variation. An Australian scanner data set is used to estimate substitution bias for six different aggregation methods and for fixed base and superlative indexes. Direct and chained indexes are also calculated. Estimates of substitution bias are found to b

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3

Kgantsi, Eugene Modisa. "Comparative study of purchasing power parities for the food component using the consumer price index data in the South African provinces." Thesis, 2013. http://hdl.handle.net/10539/12675.

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A Dissertation submitted to the Faculty of Science, University of the Witwatersrand, Johannesburg, in fulfilment of the requirements for the degree of Master of Science, 2012.<br>The purpose of this study is to investigate if the International Comparison Program (ICP) methodology could be used to examine the different buying power (worth) of the currency on the same products or goods amongst South African provinces. The method will be tested on the Consumer Price Index (CPI) food data collected from January 2006 to December 2006 from the main cities in the provinces. The food basket is obtaine

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Libri sul tema "Consumer price indexes – Data processing"

1

missing], [name. Scanner data and price indexes. Chicago, IL: University of Chicago Press, 2002.

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Krueger, Alan B. Assessing bias in the Consumer Price Index from survey data. Cambridge, MA: National Bureau of Economic Research, 1998.

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3

Ramcharan, Rodney. Money, meat, and inflation: Using price data to understand an export shock in Sudan. [Washington, D.C.]: International Monetary Fund, Middle Eastern Department, 2002.

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Office, General Accounting. Medicaid: Changes in best price for outpatient drugs purchased by HMOs and hospitals : fact sheet for the Chairman, Subcommittee on Regulation, Business Opportunities, and Technology, Committee on Small Business, House of Representatives. Washington, D.C: The Office, 1994.

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(Editor), Robert C. Feenstra, and Matthew D. Shapiro (Editor), eds. Scanner Data and Price Indexes (National Bureau of Economic Research Studies in Income and Wealth). University Of Chicago Press, 2002.

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6

Consumer price index revision: Housing data collection manual. 3rd ed. [Washington, D.C.?]: The Bureau, 1997.

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7

Macroeconomic data: A user's guide. 3rd ed. Richmond, VA: Federal Reserve Bank of Richmond, 1994.

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H, Webb Roy, and Federal Reserve Bank of Richmond., eds. Macroeconomic data: A user's guide. 2nd ed. Richmond, Va: Federal Reserve Bank of Richmond, 1991.

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9

United States. Bureau of Labor Statistics, ed. Housing data collection manual. [Washington, D.C.]: U.S. Department of Labor, Bureau of Labor Statistics, 2004.

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Atti di convegni sul tema "Consumer price indexes – Data processing"

1

Karcıoğlu, Reşat, Muhammet Özcan, and Ensar Ağırman. "The Relationship of Petroleum Price and BIST Sector Indexes." In International Conference on Eurasian Economies. Eurasian Economists Association, 2017. http://dx.doi.org/10.36880/c08.01878.

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Energy is not only indispensable element of everyday life, but also underlies industrialization and manufacturing. Energy and manufacturing have become integral parts with the importance of mechanization since the Industrial Revolution. As a result of this emerging situation, businesses, have become sensitive energy and energy prices. For this reason, changes in energy prices directly affect businesses and are thought to have effects on fluctuations in stock prices. Changes in the prices of primary energy sources directly or indirectly affect capital markets. In energy importer countries inclu

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