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Short-Term Forecasting of Economic Development in Latvia Using Business and Consumer Survey Data

Author

Listed:
  • Aleksejs Melihovs

    (Bank of Latvia)

  • Svetlana Rusakova

    (Bank of Latvia)

Abstract

At any stage of an economic cycle, policy makers and production managers are to make decisions how to benefit from an economic upswing most, or how to mitigate the adverse effects of an economic downturn. An early evaluation of economic development trends in a country will lead to a more favourable translation of policy decisions into economic processes at both microeconomic and macroeconomic levels. An assessment of economic business cycles often involves business and consumer survey results as evidenced, for instance, by rich practices of the EU and other world countries. This paper examines the usefulness of indicators from business and consumer surveys in the short-term forecasting of Latvia's economic development.

Suggested Citation

  • Aleksejs Melihovs & Svetlana Rusakova, 2005. "Short-Term Forecasting of Economic Development in Latvia Using Business and Consumer Survey Data," Working Papers 2005/04, Latvijas Banka.
  • Handle: RePEc:ltv:wpaper:200504
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    References listed on IDEAS

    as
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    7. Chris Aylmer & Troy Gill, 2003. "Business Surveys and Economic Activity," RBA Research Discussion Papers rdp2003-01, Reserve Bank of Australia.
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    9. Paul Schreyer & Corinne Emery, 1996. "Short-Term Indicators: Using Qualitative Indicators to Update Production Indices," OECD Science, Technology and Industry Working Papers 1996/3, OECD Publishing.
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    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Konstantins Benkovskis, 2008. "Short-Term Forecasts of Latvia's Real Gross Domestic Product Growth Using Monthly Indicators," Working Papers 2008/05, Latvijas Banka.
    2. Konstantīns Beņkovskis, 2010. "LATCOIN: determining medium to long-run tendencies of economic growth in Latvia in real time," Baltic Journal of Economics, Baltic International Centre for Economic Policy Studies, vol. 10(2), pages 27-48, December.
    3. Bessonovs, Andrejs, 2010. "Faktoru modeļu agregēta un dezagregēta pieeja IKP prognožu precizitātes mērīšanā [Measuring GDP forecasting accuracy using factor models: aggregated vs. disaggregated approach]," MPRA Paper 30386, University Library of Munich, Germany.

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    More about this item

    Keywords

    business and consumer surveys; economic development; short-term forecasting;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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