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Uncertainty of USA GDP Forecasts Determined by The Variables Aggregation

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  • Mihaela Bratu

    () (Academy of Economic Studies, Faculty of Cybernetics, Statistics and Economic Informatics, Bucharest)

Abstract

The aggregation of the variables that compose an indicator, as GDP, which should be forecasted, is not mentioned explicitly in literature as a source of forecasts uncertainty. In this study based on data on U.S. GDP and its components in 1995-2010, we found that GDP one-step-ahead forecasts made by aggregating the components with variable weights, modeled using ARMA procedure, have a higher accuracy than those with constant weights or the direct forecasts. Excepting the GDP forecasts obtained directly from the model, the one-step-ahead forecasts resulted form the GDP components’ forecasts aggregation are better than those made on an horizon of 3 years . The evaluation of this source of uncertainty should be considered for macroeconomic aggregates in order to choose the most accurate forecast.

Suggested Citation

  • Mihaela Bratu, 2011. "Uncertainty of USA GDP Forecasts Determined by The Variables Aggregation," Romanian Economic Journal, Department of International Business and Economics from the Academy of Economic Studies Bucharest, vol. 14(42), pages 25-46, December.
  • Handle: RePEc:rej:journl:v:14:y:2011:i:42:p:25-46
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    References listed on IDEAS

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    1. Aysit Tansel & Pinar Yasar, 2010. "Macroeconomic impact of remittances on output growth: Evidence from Turkey," Migration Letters, Transnational Press London, UK, pages 132-143.
    2. John Page & Sonia Plaza, 2006. "Migration Remittances and Development: A Review of Global Evidence," Journal of African Economies, Centre for the Study of African Economies (CSAE), vol. 15(2), pages 245-336, December.
    3. Bassanini, Andrea & Scarpetta, Stefano, 2002. "Does human capital matter for growth in OECD countries? A pooled mean-group approach," Economics Letters, Elsevier, vol. 74(3), pages 399-405, February.
    4. Ralph Chami & Connel Fullenkamp & Samir Jahjah, 2005. "Are Immigrant Remittance Flows a Source of Capital for Development?," IMF Staff Papers, Palgrave Macmillan, vol. 52(1), pages 55-81, April.
    5. Giuliano, Paola & Ruiz-Arranz, Marta, 2009. "Remittances, financial development, and growth," Journal of Development Economics, Elsevier, pages 144-152.
    6. Micheline Goedhuys & Norbert Janz & Pierre Mohnen, 2014. "Knowledge-based productivity in "low-tech" industries: evidence from firms in developing countries," Industrial and Corporate Change, Oxford University Press, vol. 23(1), pages 1-23, February.
    7. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, pages 53-74.
    8. Asteriou, Dimitrios, 2009. "Foreign aid and economic growth: New evidence from a panel data approach for five South Asian countries," Journal of Policy Modeling, Elsevier, pages 155-161.
    9. Catrinescu, Natalia & Leon-Ledesma, Miguel & Piracha, Matloob & Quillin, Bryce, 2009. "Remittances, Institutions, and Economic Growth," World Development, Elsevier, pages 81-92.
    10. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, pages 53-74.
    11. Ziesemer Thomas H.W., 2009. "Worker Remittances and Growth: The Physical and Human Capital Channels," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, pages 743-773.
    12. Biru Paul & Md. Uddin & Abdullah Noman, 2011. "Remittances and output in Bangladesh: an ARDL bounds testing approach to cointegration," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), pages 229-242.
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    More about this item

    Keywords

    source of uncertainty; forecasts; accuracy; disaggregation over variables; strategy of prediction; DM test;

    JEL classification:

    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
    • E27 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Forecasting and Simulation: Models and Applications
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

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