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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
    1. Bruno Giancarlo & Lupi Claudio, 2003. "Forecasting Euro-Area Industrial Production Using (Mostly) Business Surveys Data," ISAE Working Papers 33, ISTAT - Italian National Institute of Statistics - (Rome, ITALY).
    2. Carroll, Christopher D & Fuhrer, Jeffrey C & Wilcox, David W, 1994. "Does Consumer Sentiment Forecast Household Spending? If So, Why?," American Economic Review, American Economic Association, vol. 84(5), pages 1397-1408, December.
    3. Chris Aylmer & Troy Gill, 2003. "Business Surveys and Economic Activity," RBA Research Discussion Papers rdp2003-01, Reserve Bank of Australia.
    4. Hansson, Jesper & Jansson, Per & Löf, Mårten, 2003. "Business Survey Data: Do They Help in Forecasting the Macro Economy?," Working Papers 84, National Institute of Economic Research.
    5. Jason Bram & Sydney C. Ludvigson, 1998. "Does consumer confidence forecast household expenditure? a sentiment index horse race," Economic Policy Review, Federal Reserve Bank of New York, vol. 4(Jun), pages 59-78.
    6. Lucia F. Dunn & Ida A. Mirzaie, 2006. "Turns in Consumer Confidence: An Information Advantage Linked to Manufacturing," Economic Inquiry, Western Economic Association International, vol. 44(2), pages 343-351, April.
    7. 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.
    8. Ivan Roberts & John Simon, 2001. "What do Sentiment Surveys Measure?," RBA Research Discussion Papers rdp2001-09, Reserve Bank of Australia.
    9. Teresa Santero & Niels Westerlund, 1996. "Confidence Indicators and Their Relationship to Changes in Economic Activity," OECD Economics Department Working Papers 170, OECD Publishing.
    10. Annabelle Mourougane & Moreno Roma, 2003. "Can confidence indicators be useful to predict short term real GDP growth?," Applied Economics Letters, Taylor & Francis Journals, vol. 10(8), pages 519-522.
    11. Croushore, Dean, 2005. "Do consumer-confidence indexes help forecast consumer spending in real time?," The North American Journal of Economics and Finance, Elsevier, vol. 16(3), pages 435-450, December.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. 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.
    2. Konstantins Benkovskis, 2008. "Short-Term Forecasts of Latvia's Real Gross Domestic Product Growth Using Monthly Indicators," Working Papers 2008/05, Latvijas Banka.
    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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