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Methodological Basis for Organization and Analytical Capacity of Business Surveys in Russian Industry

Author

Listed:
  • Sergey Tsukhlo

    (Gaidar Institute for Economic Policy)

Abstract

This publication presents analysis of handling regular business surveys of Russian industrial enterprises, information capacity of such surveys and analytical findings. Analysis summarizes 18 years experience of IEP’s surveys: from the choice of envelopes for sending questionnaires to obtained findings analysis and the development European harmonized survey program. The author gives examples of the use of the IEP business surveys’ findings in day-to-day monitoring of Russian industry, analysis of labor issues and evaluation of labor productivity.

Suggested Citation

  • Sergey Tsukhlo, 2010. "Methodological Basis for Organization and Analytical Capacity of Business Surveys in Russian Industry," Research Paper Series, Gaidar Institute for Economic Policy, issue 145P.
    • Handle: RePEc:gai:rpaper:53
    as

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    File URL: http://www.iep.ru/files/RePEc/gai/rpaper/53Tsukhlo.pdf
    File Function: Revised version, 2012
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    References listed on IDEAS

    as
    1. Stangl, Anna, 2009. "Essays on the Measurement of Economic Expectations," Munich Dissertations in Economics 9823, University of Munich, Department of Economics.
    2. 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.
    3. 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.
    4. Pesaran, M Hashem, 1985. "Formation of Inflation Expectations in British Manufacturing Industries," Economic Journal, Royal Economic Society, vol. 95(380), pages 948-975, December.
    5. Nerlove, Marc, 1983. "Expectations, Plans, and Realizations in Theory and Practice," Econometrica, Econometric Society, vol. 51(5), pages 1251-1279, September.
    6. 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.
    7. Wolfgang Ruppert, 2007. "Business Survey in Manufacturing," Chapters, in: Georg Goldrian (ed.), Handbook of Survey-Based Business Cycle Analysis, chapter 2, Edward Elgar Publishing.
    8. 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.
    9. repec:bla:econom:v:42:y:1975:i:166:p:123-38 is not listed on IDEAS
    10. 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.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

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    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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