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Panel estimation of state-dependent adjustment when the target is unobserved

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  • Ulf Kalckreuth

Abstract

Understanding adjustment processes has become central in economics. Empirical analysis is fraught with the problem that the target is usually unobserved. This paper develops, simulates and applies GMM methods for estimating dynamic adjustment models in a panel data context with partially unobserved targets and endogenous, time-varying persistence. In this setup, the standard first difference GMM procedure fails. I propose three estimation strategies. One is based on quasi-differencing, and it leads to two different, but related sets of moment conditions. The second is characterised by a statedependent filter, while the third is an adaptation of the GMM level estimator.
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Suggested Citation

  • Ulf Kalckreuth, 2011. "Panel estimation of state-dependent adjustment when the target is unobserved," Empirical Economics, Springer, vol. 40(1), pages 205-235, February.
    • Handle: RePEc:spr:empeco:v:40:y:2011:i:1:p:205-235
    DOI: 10.1007/s00181-010-0419-y
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    1. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    2. Holtz-Eakin, Douglas & Newey, Whitney & Rosen, Harvey S, 1988. "Estimating Vector Autoregressions with Panel Data," Econometrica, Econometric Society, vol. 56(6), pages 1371-1395, November.
    3. Russell Cooper & Jonathan L. Willis, 2004. "A Comment on the Economics of Labor Adjustment: Mind the Gap: Rejoinder," American Economic Review, American Economic Association, vol. 94(4), pages 1245-1247, September.
    4. Ricardo J. Caballero & Eduardo M.R.A. Engel, 2004. "Three Strikes and You're Out: Reply to Cooper and Willis," Cowles Foundation Discussion Papers 1456, Cowles Foundation for Research in Economics, Yale University.
    5. Bayer, Christian, 2006. "Investment dynamics with fixed capital adjustment cost and capital market imperfections," Journal of Monetary Economics, Elsevier, vol. 53(8), pages 1909-1947, November.
    6. Davidson, Russell & MacKinnon, James G., 1993. "Estimation and Inference in Econometrics," OUP Catalogue, Oxford University Press, number 9780195060119.
    7. Ricardo J. Caballero & Eduardo M.R.A. Engel, 2004. "A Comment on the Economics of Labor Adjustment: Mind the Gap: Reply," American Economic Review, American Economic Association, vol. 94(4), pages 1238-1244, September.
    8. Russell W. Cooper & Jonathan L. Willis, 2001. "The Economics of Labor Adjustment: Mind the Gap," NBER Working Papers 8527, National Bureau of Economic Research, Inc.
    9. Ricardo J. Caballero & Eduardo M. R. A. Engel & John C. Haltiwanger, 1995. "Plant-Level Adjustment and Aggregate Investment Dynamics," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 26(2), pages 1-54.
    10. Bayer, Christian, 2008. "On the interaction of financial frictions and fixed capital adjustment costs: Evidence from a panel of German firms," Journal of Economic Dynamics and Control, Elsevier, vol. 32(11), pages 3538-3559, November.
    11. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    12. Anderson, T. W. & Hsiao, Cheng, 1982. "Formulation and estimation of dynamic models using panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 47-82, January.
    13. von Kalckreuth, Ulf, 2008. "Financing constraints, firm level adjustment of capital and aggregate implications," Discussion Paper Series 1: Economic Studies 2008,11, Deutsche Bundesbank.
    14. Ricardo J. Caballero & Eduardo M. R. A. Engel, 1999. "Explaining Investment Dynamics in U.S. Manufacturing: A Generalized (S,s) Approach," Econometrica, Econometric Society, vol. 67(4), pages 783-826, July.
    15. Stephen Bond & Julie Ann Elston & Jacques Mairesse & Benoît Mulkay, 2003. "Financial Factors and Investment in Belgium, France, Germany, and the United Kingdom: A Comparison Using Company Panel Data," The Review of Economics and Statistics, MIT Press, vol. 85(1), pages 153-165, February.
    16. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    17. Bean, Charles R, 1981. "An Econometric Model of Manufacturing Investment in the UK," Economic Journal, Royal Economic Society, vol. 91(361), pages 106-121, March.
    18. Russell Cooper & Jonathan L. Willis, 2004. "A Comment on the Economics of Labor Adjustment: Mind the Gap," American Economic Review, American Economic Association, vol. 94(4), pages 1223-1237, September.
    19. Ulf Von Kalckreuth, 2006. "Financial Constraints and Capacity Adjustment: Evidence from a Large Panel of Survey Data," Economica, London School of Economics and Political Science, vol. 73(292), pages 691-724, November.
    20. Caballero, Ricardo J & Engel, Eduardo M R A & Haltiwanger, John, 1997. "Aggregate Employment Dynamics: Building from Microeconomic Evidence," American Economic Review, American Economic Association, vol. 87(1), pages 115-137, March.
    21. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
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    More about this item

    Keywords

    Dynamic panel data methods; Economic adjustment; GMM; Quasi-differencing; Non-linear estimation; C23; C15; D21;
    All these keywords.

    JEL classification:

    • D21 - Microeconomics - - Production and Organizations - - - Firm Behavior: Theory
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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