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Artykuły w czasopismach na temat "Consumer price index"
Ghodke, Mohammad, i Purushottam Giri. "Consumer Price Index (CPI) – Types & Sources". Indian Journal of Community Health 35, nr 4 (31.12.2023): 520–25. http://dx.doi.org/10.47203/ijch.2023.v35i04.020.
Pełny tekst źródłaWulandari, Sari, i Muhammad Dani Habra. "Analisis Perkembangan Indeks Harga Konsumen di Kota Medan". Journal of Economic, Bussines and Accounting (COSTING) 3, nr 2 (9.05.2020): 412–18. http://dx.doi.org/10.31539/costing.v3i2.1162.
Pełny tekst źródłaImron, M., Wika Dianita Utami, Hani Khaulasari i Firman Armunanto. "ARIMA MODEL OF OUTLIER DETECTION FOR FORECASTING CONSUMER PRICE INDEX (CPI)". BAREKENG: Jurnal Ilmu Matematika dan Terapan 16, nr 4 (15.12.2022): 1259–70. http://dx.doi.org/10.30598/barekengvol16iss4pp1259-1270.
Pełny tekst źródłaHill, Peter. "Consumer price index manual". Statistical Journal of the United Nations Economic Commission for Europe 21, nr 2 (18.05.2005): 87–93. http://dx.doi.org/10.3233/sju-2004-21201.
Pełny tekst źródłaGage, Rob, i Patrick Jackman. "Chained Consumer Price Index". Industrial Relations 42, nr 2 (kwiecień 2003): 299–302. http://dx.doi.org/10.1111/1468-232x.00291.
Pełny tekst źródłaHodgson, James. "The Consumer Price Index". Relations industrielles 8, nr 1 (25.02.2014): 101–8. http://dx.doi.org/10.7202/1022980ar.
Pełny tekst źródłaBiałek, Jacek. "Proposition of a hybrid price index formula for the Consumer Price Index measurement". Equilibrium 15, nr 4 (20.12.2020): 697–716. http://dx.doi.org/10.24136/eq.2020.030.
Pełny tekst źródłaChun, Hae-Jung. "The Influence of Consumer Sentiment on Housing Prices by Region: Using the VARX Model". Korea Association Of Real Estate Law 27, nr 3 (30.09.2023): 29–42. http://dx.doi.org/10.32989/rel.2023.27.3.29.
Pełny tekst źródłaBonnarens, Joseph. "The Consumer Price Index and Prescription Drug Prices:". Journal of Research in Pharmaceutical Economics 9, nr 2 (3.11.1998): 71–81. http://dx.doi.org/10.1300/j063v09n02_06.
Pełny tekst źródłaBoskin, Michael J., Ellen R. Dulberger, Robert J. Gordon, Zvi Griliches i Dale W. Jorgenson. "Consumer Prices, the Consumer Price Index, and the Cost of Living". Journal of Economic Perspectives 12, nr 1 (1.02.1998): 3–26. http://dx.doi.org/10.1257/jep.12.1.3.
Pełny tekst źródłaRozprawy doktorskie na temat "Consumer price index"
Chan, Ka-lin Karen. "Forecasting models for Hong Kong's consumer price index". Hong Kong : University of Hong Kong, 1993. http://sunzi.lib.hku.hk/hkuto/record.jsp?B13787202.
Pełny tekst źródłaChan, Ka-lin Karen, i 陳家蓮. "Forecasting models for Hong Kong's consumer price index". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1993. http://hub.hku.hk/bib/B3197725X.
Pełny tekst źródłaBaldwin, Andrew. "The treatment of seasonal commodities in the consumer price index". Thesis, University of Ottawa (Canada), 1986. http://hdl.handle.net/10393/4580.
Pełny tekst źródłaКремень, О. І. "Оцінювання інфляції як фінансово-статистична проблема". Thesis, Українська академія банківської справи Національного банку України, 2012. https://er.knutd.edu.ua/handle/123456789/13253.
Pełny tekst źródłaJoslyn-Battaglia, Kari. "The Relationship Between an Industry Average Beta Coefficient and Price Elasticity of Demand". Thesis, North Texas State University, 1986. https://digital.library.unt.edu/ark:/67531/metadc500999/.
Pełny tekst źródłaSwanepoel, C. V. "Stock returns as predictors of interest rates and inflation: The South African experience". University of the Western Cape, 1990. http://hdl.handle.net/11394/7892.
Pełny tekst źródłaThis study analyses the extent to which stock returns provide forecasts of changes in interest rates and inflation for the South African market. The period under investigation, January 1966 - February 1989, is characterised by structural changes in the South African economy, especially in the financial markets. The earnings yield on shares is used as a measure of the return on stocks. Stock returns of 10 specific industries are used in addition to the overall market return. Monthly inflation series were constructed by employing both the Consumer Price Index (CPI) and the Producer Price Index (PPI). Before examining that relationship, tests were done to examine the relationship between nominal stock returns and expected inflation. The relation between the stock market and expected inflation is estimated by using three measures of expected inflation. The results appear to suggest that the stock market reacted positively to expected inflation during the 1966 - 1982 period. Two proxies of expected inflation. Best results inflation are used to were obtained with measure future the Fama-Gibbons measure. In addition, the results suggest that stock returns provide additional information of future inflation to that contained in the Fama-Gibbons and interest rate models. Returns for specific industries, used in this study, appear to provide marginally better forecasts of inflation than the overall market return. The results also suggest that stock returns provide forecasts of changes in interest rates and inflation. There is no evidence that the specific industries used, provide consistent better forecasts of interest rate changes than the overall market.
Fouché, Elizabeth Maria. "The impact of price discrimination on tourism demand / Elizabeth Maria Fouché". Thesis, North-West University, 2005. http://hdl.handle.net/10394/1162.
Pełny tekst źródłaThesis (M.Com. (Tourism))--North-West University, Potchefstroom Campus, 2006.
Akaakar, Alexandra A. "OIL DEPENDENCY AND NATIONAL FOOD SECURITY: A CASE FOR NIGERIA". OpenSIUC, 2019. https://opensiuc.lib.siu.edu/theses/2482.
Pełny tekst źródłaLopes, Luciana Teagno. "A rigidez nominal de preços na cidade de São Paulo: evidências baseadas em microdados do índice de preços ao consumidor da FIPE". Universidade de São Paulo, 2008. http://www.teses.usp.br/teses/disponiveis/12/12140/tde-13012009-165431/.
Pełny tekst źródłaThis research investigates the price-setting behavior in São Paulo city. We analyze more than six millions of consumer price index quotes produced by FIPE. The main results are: (i) the average frequency of price change is 32,35% per month; (ii) the prices remain unchanged on average for 2,56 months; (iii) there is a large degree of product heterogeneity related to the behavior of price change; (iv) 40% of price changes are price decreases; (v) the magnitude of price changes is large; (vi) the frequency of price change exhibits seasonal patterns for some groups; (vii) for some groups the frequency of price change was affected by 2002 elections; (viii) the baseline hazard functions are downward-sloping with 12 month spikes for some subgroups, and (ix) the hazard of price change responds to inflation for almost 70% of the subgroups.
Yuba, Tania Yuka. "Evolução dos preços relativos e da estrutura de gastos com alimentos no município de São Paulo: uma aplicação do banco de dados do IPC-FIPE de 1939 a 2010". Universidade de São Paulo, 2011. http://www.teses.usp.br/teses/disponiveis/89/89131/tde-14092012-140908/.
Pełny tekst źródłaIntroduction: Analyses of major trends on food consumption point out decreasing fresh food consumption and increasing processed food consumption. Processed food may cause nutritional deficiencies and ease onset of chronic non communicable diseases such as obesity, dyslipidemia and hypertension. Food consumption habits are affected by many factors, and the ones that stand out are the economic factors such as food relative price and population income. Studying the evolution of relative price may give us support to visualize the relationship trends among food groups. Objectives: Analyze the evolution of relative price of food groups by calculating the index-numbers of relative prices from 1939 to 2010 using the Consumer Price Index database from the Fundação Instituto de Pesquisas Econômicas (Institute for Economic Research Foundation) (IPC/FIPE). Methodology: To analyze the evolution of relative price, we used FIPE´s price database and also the weight structure from FIPE (1939-1988) and from IBGE (Brazilian Institute of Geography and Statistics) (1989-2010), which were separated by income class since 1972. Price database was arranged, it´s consistency was tested and prices were deflated by IPC/FIPE. Relative prices were calculated and then associated by food group. Ultimately, price index was calculated according to: Laspeyres and Konüs-Byushgens. Results: When comparing total food index against indexes of each food group we noticed that the groups of fat, oil, spices, sugars and sweets and processed food showed decreased indexes whereas fresh foods such as fruits and vegetables showed swift increased indexes. Grain, flour and pasta groups along with meat, milk and egg groups showed a steadier trend. Conclusion: The evolution of relative price of food points out an unfavorable trend toward healthy eating.
Książki na temat "Consumer price index"
Laraine, Engel, Erdman Linda Anne i Merchants and Manufacturers Association, red. Consumer price index manual. [Los Angeles?]: Merchants and Manufacturers Association, 1989.
Znajdź pełny tekst źródłaKenya National Bureau of Statistics., red. The 2008 consumer price index: CPI. Nairobi: Kenya National Bureau of Statistics, 2008.
Znajdź pełny tekst źródłaConsumer price index apparel manual. Washington, D.C.?]: U.S. Department of Labor, Bureau of Labor Statistics, 1991.
Znajdź pełny tekst źródłaOffice, International Labour, red. Consumer price index manual: Theory and practice. Geneva: International Labour Office, 2004.
Znajdź pełny tekst źródłaKenya. Central Bureau of Statistics., red. The new Kenyan consumer price index: Guide for producing the consumer price index. Nairobi, Kenya: Central Bureau of Statistics, Ministry of Finance & Planning, 2002.
Znajdź pełny tekst źródłaRevising the Consumer Price Index. [Washington, D.C.]: Bureau of Labor Statistics, U.S. Dept. of Labor, 1986.
Znajdź pełny tekst źródłaUnited States. Bureau of Labor Statistics, red. Consumer price index apparel manual. [Washington, D.C.?]: U.S. Dept. of Labor, Bureau of Labor Statistics, 1986.
Znajdź pełny tekst źródłaUnited States. Bureau of Labor Statistics., red. Consumer price index: Reference checklists. [Washington, D.C.?]: Bureau of Labor Statistics, U.S. Dept. of Labor, 1993.
Znajdź pełny tekst źródłaUnited States. Bureau of Labor Statistics, red. Consumer price index: Reference checklists. [Washington, D.C.?]: Bureau of Labor Statistics, U.S. Dept. of Labor, 1993.
Znajdź pełny tekst źródłaUnited States. Bureau of Labor Statistics, red. Consumer price index apparel manual. [Washington, D.C.?]: U.S. Dept. of Labor, Bureau of Labor Statistics, 1991.
Znajdź pełny tekst źródłaCzęści książek na temat "Consumer price index"
Fallis, George. "Consumer Price Index". W Encyclopedia of Quality of Life and Well-Being Research, 1217–18. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-007-0753-5_544.
Pełny tekst źródłaOfficer, Lawrence H. "Consumer Price Index". W Essays in Economic History, 173–85. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-95925-8_10.
Pełny tekst źródłaFallis, George. "Consumer Price Index". W Encyclopedia of Quality of Life and Well-Being Research, 1337–38. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-17299-1_544.
Pełny tekst źródłaLeaver, Sylvia, i Richard Valliant. "Statistical Problems in Estimating the U.S. Consumer Price Index". W Business Survey Methods, 543–66. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9781118150504.ch28.
Pełny tekst źródłaPfister, Ulrich. "Economic inequality in Germany, 1500-1800". W Disuguaglianza economica nelle società preindustriali: cause ed effetti / Economic inequality in pre-industrial societies: causes and effect, 301–24. Florence: Firenze University Press, 2020. http://dx.doi.org/10.36253/978-88-5518-053-5.20.
Pełny tekst źródłaGe, Li, i Guisheng Yin. "Application of Process Neural Network on Consumer Price Index Prediction". W Advances in Intelligent and Soft Computing, 427–32. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27866-2_51.
Pełny tekst źródłaDe Vitiis, Claudia, Alessio Guandalini, Francesca Inglese i Marco Dionisio Terribili. "Sampling Schemes Using Scanner Data for the Consumer Price Index". W New Statistical Developments in Data Science, 203–17. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-21158-5_16.
Pełny tekst źródłaZhu, Bing. "Exchange Rate and Price: A Granger Causality Test of Consumer Price Index in China". W Advances in Intelligent Systems and Computing, 89–94. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27711-5_13.
Pełny tekst źródłaMomo, Shampa Islam, Md Riajuliislam i Rubaiya Hafiz. "Forecasting of Inflation Rate Contingent on Consumer Price Index: Machine Learning Approach". W Intelligent Computing and Innovation on Data Science, 137–44. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-3153-5_17.
Pełny tekst źródłaWang, Hongjie, i Weigang Zhao. "ARIMA Model Estimated by Particle Swarm Optimization Algorithm for Consumer Price Index Forecasting". W Artificial Intelligence and Computational Intelligence, 48–58. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-05253-8_6.
Pełny tekst źródłaStreszczenia konferencji na temat "Consumer price index"
Pillay, Khuneswari Gopal, Tivya Ravie i Siti Aisyah Mohd Padzil. "LASSO regression in consumer price index Malaysia". W PROCEEDINGS OF SCIEMATHIC 2020. AIP Publishing, 2021. http://dx.doi.org/10.1063/5.0053192.
Pełny tekst źródłaYalman, İlkay Noyan, i Şerife Merve Koşaroğlu. "Analysis of the Relationship between Consumer Confidence Index and Inflation in Türkiye". W International Conference on Eurasian Economies. Eurasian Economists Association, 2023. http://dx.doi.org/10.36880/c15.02816.
Pełny tekst źródłaHou, Keyu, Shunxun Li, Jingjing Li, Wei Xu, Rui Wang i Jin Zhou. "Research on consumer portraits of offline fast fashion shoe stores based on IoT smart hardware". W The 8th International Conference on Advanced Materials and Systems. INCDTP - Leather and Footwear Research Institute (ICPI), Bucharest, Romania, 2020. http://dx.doi.org/10.24264/icams-2020.iii.9.
Pełny tekst źródłaWitharana, W. W. S. K., U. K. D. T. N. Udugama, P. M. R. Fernando, H. M. H. Kaumadi i T. S. G. Peiris. "Forecasting Consumer Price Index in the United States". W SLIIT International Conference on Advancements in Sciences and Humanities 2023. Faculty of Humanities and Sciences, SLIIT, 2023. http://dx.doi.org/10.54389/raqa6627.
Pełny tekst źródłaJia, Lizhai, i Weidong Li. "Cointegration analysis on the relationship between Consumer Price Index and electricity price". W 2010 2nd IEEE International Conference on Information and Financial Engineering (ICIFE). IEEE, 2010. http://dx.doi.org/10.1109/icife.2010.5609273.
Pełny tekst źródłaDongdong, Weng. "The Consumer Price Index Forecast Based on ARIMA Model". W 2010 WASE International Conference on Information Engineering (ICIE 2010). IEEE, 2010. http://dx.doi.org/10.1109/icie.2010.79.
Pełny tekst źródłaGlaser-Opitzová, Helena. "Use of Scanner Data in Measuring the Consumer Price Index in the Conditions of the Slovak Republic". W EDAMBA 2021 : 24th International Scientific Conference for Doctoral Students and Post-Doctoral Scholars. University of Economics in Bratislava, 2022. http://dx.doi.org/10.53465/edamba.2021.9788022549301.92-102.
Pełny tekst źródłaBudiastuti, Intan Ari, Supeno Mardi Susiki Nugroho i Mochamad Hariadi. "Predicting daily consumer price index using support vector regression method". W 2017 15th International Conference on Quality in Research (QiR): International Symposium on Electrical and Computer Engineering. IEEE, 2017. http://dx.doi.org/10.1109/qir.2017.8168445.
Pełny tekst źródłaDu, Yulin. "Prediction of consumer price index based on RBF neural network". W 2018 Chinese Control And Decision Conference (CCDC). IEEE, 2018. http://dx.doi.org/10.1109/ccdc.2018.8407612.
Pełny tekst źródłaTengiz, Yusuf Ziya, i Zehra Meliha Tengiz. "A Study on Beef Price in Turkey". W International Conference on Eurasian Economies. Eurasian Economists Association, 2018. http://dx.doi.org/10.36880/c10.02213.
Pełny tekst źródłaRaporty organizacyjne na temat "Consumer price index"
Blair, Caitlin. Constructing a PCE-Weighted Consumer Price Index. Cambridge, MA: National Bureau of Economic Research, październik 2013. http://dx.doi.org/10.3386/w19582.
Pełny tekst źródłaGriffith, Rachel, Ephraim Leibtag, Andrew Leicester i Aviv Nevo. Timing and Quantity of Consumer Purchases and the Consumer Price Index. Cambridge, MA: National Bureau of Economic Research, październik 2008. http://dx.doi.org/10.3386/w14433.
Pełny tekst źródłaShapiro, Matthew, i David Wilcox. Mismeasurement in the Consumer Price Index: An Evaluation. Cambridge, MA: National Bureau of Economic Research, maj 1996. http://dx.doi.org/10.3386/w5590.
Pełny tekst źródłaBryan, Michael, i Stephen Cecchetti. The Consumer Price Index as a Measure of Inflation. Cambridge, MA: National Bureau of Economic Research, październik 1993. http://dx.doi.org/10.3386/w4505.
Pełny tekst źródłaKrueger, Alan, i Aaron Siskind. Assessing the Bias in the Consumer Price Index from Survey Data. Cambridge, MA: National Bureau of Economic Research, marzec 1998. http://dx.doi.org/10.3386/w6450.
Pełny tekst źródłaFrank, Richard, Andrew Hicks i Ernst Berndt. Auditing the Prescription Drug Consumer Price Index in a Changing Marketplace. Cambridge, MA: National Bureau of Economic Research, wrzesień 2022. http://dx.doi.org/10.3386/w30448.
Pełny tekst źródłaHaines, Michael. A State and Local Consumer Price Index for the United States in 1890. Cambridge, MA: National Bureau of Economic Research, maj 1989. http://dx.doi.org/10.3386/h0002.
Pełny tekst źródłaAdams, Brian, Lara P. Loewenstein, Hugh Montag i Randal J. Verbrugge. Disentangling Rent Index Differences: Data, Methods, and Scope. Federal Reserve Bank of Cleveland, grudzień 2022. http://dx.doi.org/10.26509/frbc-wp-202238.
Pełny tekst źródłaGanics, Gergely, i María Rodríguez-Moreno. A house price-at-risk model to monitor the downside risk for the Spanish housing market. Madrid: Banco de España, styczeń 2023. http://dx.doi.org/10.53479/29472.
Pełny tekst źródłaAmbaw, Dessie, Madhavi Pundit, Arief Ramayandi i Nicholas Sim. Real Exchange Rate Misalignment and Business Cycle Fluctuations in Asia and the Pacific. Asian Development Bank, marzec 2022. http://dx.doi.org/10.22617/wps220066-2.
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