Methodological Basis for Organization and Analytical Capacity of Business Surveys in Russian Industry
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- Pesaran, M Hashem, 1985. "Formation of Inflation Expectations in British Manufacturing Industries," Economic Journal, Royal Economic Society, vol. 95(380), pages 948-975, December.
- Stangl, Anna, 2009. "Essays on the Measurement of Economic Expectations," Munich Dissertations in Economics 9823, University of Munich, Department of Economics.
- Kawasaki, Seiichi & McMillan, John & Zimmermann, Klaus F, 1982.
"Disequilibrium Dynamics: An Empirical Study,"
American Economic Review, American Economic Association, vol. 72(5), pages 992-1004, December.
- Seiichi Kawasaki & John McMillan & Klaus F. Zimmermann, 1981. "Disequilibrium Dynamics: An Empirical Study," University of Western Ontario, Departmental Research Report Series 8121, University of Western Ontario, Department of Economics.
- Konig, Heinz & Nerlove, Marc & Oudiz, Gilles, 1981.
"On the formation of price expectations : An analysis of business test data by log-linear probability models,"
European Economic Review, Elsevier, vol. 16(1), pages 103-138.
- Heinz Konig & Marc Nerlove & Grilles Oudiz, 1980. "On the Formation of Price Expectations: An Analysis of Business Test Data by Log-Linear Probability Models," Discussion Papers 437, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
- Nerlove, Marc, 1983.
"Expectations, Plans, and Realizations in Theory and Practice,"
Econometrica, Econometric Society, vol. 51(5), pages 1251-1279, September.
- Marc Nerlove, 1981. "Expectations, Plans and Realizations: In Theory and Practice," Discussion Papers 511, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
- Michela Nardo, 2003. "The Quantification of Qualitative Survey Data: A Critical Assessment," Journal of Economic Surveys, Wiley Blackwell, vol. 17(5), pages 645-668, December.
- Wolfgang Ruppert, 2007. "Business Survey in Manufacturing," Chapters, in: Georg Goldrian (ed.), Handbook of Survey-Based Business Cycle Analysis, chapter 2, Edward Elgar Publishing.
- Dr Martin Weale & Dr. James Mitchell, 2002. "Aggregate versus Disaggregate Survey-Based Indicators of Economic Activity (revised January 2005)," National Institute of Economic and Social Research (NIESR) Discussion Papers 194, National Institute of Economic and Social Research.
- repec:bla:econom:v:42:y:1975:i:166:p:123-38 is not listed on IDEAS
- Ray Barrell, 1999. "Employment Security and European Labour Demand: A Panel Study Across 16 Industries," National Institute of Economic and Social Research (NIESR) Discussion Papers 148, National Institute of Economic and Social Research.
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More about this item
Keywords
Russian Industry; Analytical Capacity; business surveys; Russia; IEP;All these keywords.
JEL classification:
- C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
- C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
- E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
- L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance
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