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The impact of data revisions on the robustness of growth determinants—a note on ‘determinants of economic growth: Will data tell?’*

* This paper is a replication of an original study

Author

Listed:
  • Martin Feldkircher
  • Stefan Zeugner

Abstract

Ciccone and Jarocinski (2010) show that inference in Bayesian model averaging (BMA) can be highly sensitive to small changes in the dependent variable. In particular they demonstrate that the importance of growth determinants in explaining growth varies tremendously over different revisions of Penn World Table (PWT) income data. They conclude that ’agnostic’ priors appear too sensible for this strand of growth empirics. In response, we show that the instability found owes much to a specific BMA set-up: the variation in results can be considerably reduced by applying an evenly ’agnostic’, but flexible prior.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Martin Feldkircher & Stefan Zeugner, 2012. "The impact of data revisions on the robustness of growth determinants—a note on ‘determinants of economic growth: Will data tell?’," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(4), pages 686-694, June.
  • Handle: RePEc:wly:japmet:v:27:y:2012:i:4:p:686-694
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    File URL: http://hdl.handle.net/10.1002/jae.2265
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    References listed on IDEAS

    as
    1. Jesus Crespo Cuaresma, 2011. "How different is Africa? A comment on Masanjala and Papageorgiou," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(6), pages 1041-1047, September.
    2. Xavier Sala-I-Martin & Gernot Doppelhofer & Ronald I. Miller, 2004. "Determinants of Long-Term Growth: A Bayesian Averaging of Classical Estimates (BACE) Approach," American Economic Review, American Economic Association, vol. 94(4), pages 813-835, September.
    Full references (including those not matched with items on IDEAS)

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    Replication

    This item is a replication of:
  • Antonio Ciccone & Marek Jarociński, 2010. "Determinants of Economic Growth: Will Data Tell?," American Economic Journal: Macroeconomics, American Economic Association, vol. 2(4), pages 222-246, October.
  • More about this item

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • E01 - Macroeconomics and Monetary Economics - - General - - - Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

    Lists

    This item is featured on the following reading lists, Wikipedia, or ReplicationWiki pages:
    1. The impact of data revisions on the robustness of growth determinants—a note on ‘determinants of economic growth: Will data tell?’ (Journal of Applied Econometrics 2012) in ReplicationWiki

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