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Toward a more reliable picture of the economic activity: An application to Argentina

Author

Listed:
  • Camacho, Maximo
  • Dal Bianco, Marcos
  • Martinez-Martin, Jaime

Abstract

We advocate a dynamic factor model to provide alternative measures of output data using indirect information from economic indicators. We apply the method to show evidence of a significant gap between estimated and official measures of Argentine GDP since 2007.

Suggested Citation

  • Camacho, Maximo & Dal Bianco, Marcos & Martinez-Martin, Jaime, 2015. "Toward a more reliable picture of the economic activity: An application to Argentina," Economics Letters, Elsevier, vol. 132(C), pages 129-132.
  • Handle: RePEc:eee:ecolet:v:132:y:2015:i:c:p:129-132
    DOI: 10.1016/j.econlet.2015.03.032
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    References listed on IDEAS

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    1. Tomasz Michalski & Gilles Stoltz, 2013. "Do Countries Falsify Economic Data Strategically? Some Evidence That They Might," The Review of Economics and Statistics, MIT Press, vol. 95(2), pages 591-616, May.
    2. Janet Koech & Jian Wang, 2012. "China's slowdown may be worse than official data suggest," Economic Letter, Federal Reserve Bank of Dallas, vol. 7(aug).
    3. Roberto S. Mariano & Yasutomo Murasawa, 2003. "A new coincident index of business cycles based on monthly and quarterly series," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(4), pages 427-443.
    4. Marcos Dal Bianco & Jaime Martinez-Martín & Maximo Camacho, 2013. "Short-Run Forecasting of Argentine GDP Growth," Working Papers 1314, BBVA Bank, Economic Research Department.
    5. Rawski, Tom, 1993. "How fast has Chinese industry grown?," Policy Research Working Paper Series 1194, The World Bank.
    6. John G. Fernald & Israel Malkin & Mark M. Spiegel, 2013. "On the reliability of Chinese output figures," FRBSF Economic Letter, Federal Reserve Bank of San Francisco, issue mar25.
    7. Ariel Coremberg, 2014. "Measuring Argentina’s GDP Growth," World Economics, World Economics, 1 Ivory Square, Plantation Wharf, London, United Kingdom, SW11 3UE, vol. 15(1), pages 1-32, January.
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    Cited by:

    1. Christian Glocker & Philipp Wegmüller, 2017. "Business Cycle Dating and Forecasting with Real-time Swiss GDP Data," WIFO Working Papers 542, WIFO.
    2. Alberto Cavallo & Guillermo Cruces & Ricardo Perez-Truglia, 2016. "Learning from Potentially-Biased Statistics: Household Inflation Perceptions and Expectations in Argentina," NBER Working Papers 22103, National Bureau of Economic Research, Inc.

    More about this item

    Keywords

    Business cycles; Output growth; Dynamic factor models; Argentina;

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E01 - Macroeconomics and Monetary Economics - - General - - - Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts
    • E27 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Forecasting and Simulation: Models and Applications
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

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