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Bayesian Estimation of a Dynamic Partial-Equilibrium Model for Investment

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  • Matthias Kredler

    (New York University)

Abstract

This paper revisits the question if the user cost of capital plays an important role for investment decisions using Bayesian estimation techniques. These methods offer advantages over classical econometric tools in this area: The most important are that prior distributions offer a convincing way to confine the support of model parameters and that confidence intervals are more reliable when model parameters approach the bounds of their support. I use aggregate investment data from six industrial sectors in the UK to estimate a parsimonious partial-equilibrium model. The Kalman Filter is used to evaluate the likelihood and MCMC methods are employed to draw from the posterior distribution. The main finding is that the real interest rate accounts for less than 10 percent of the variance in investment under the 99- percent confidence level; this result is robust across sectors.

Suggested Citation

  • Matthias Kredler, 2005. "Bayesian Estimation of a Dynamic Partial-Equilibrium Model for Investment," Econometrics 0509003, EconWPA.
  • Handle: RePEc:wpa:wuwpem:0509003
    Note: Type of Document - pdf; pages: 23
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    File URL: https://econwpa.ub.uni-muenchen.de/econ-wp/em/papers/0509/0509003.pdf
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    References listed on IDEAS

    as
    1. Abel, Andrew B & Eberly, Janice C, 1994. "A Unified Model of Investment under Uncertainty," American Economic Review, American Economic Association, vol. 84(5), pages 1369-1384, December.
    2. David Barr & John Campbell, "undated". "Inflation, real interest rates and the bond market: a study of UK nominal and index-linked Government bond prices," CERF Discussion Paper Series 95-09, Economics and Finance Section, School of Social Sciences, Brunel University.
    3. Juan F. Rubio-Ramirez & Jesus Fernández-Villaverde, 2005. "Estimating dynamic equilibrium economies: linear versus nonlinear likelihood," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(7), pages 891-910.
    4. Bernanke, Ben S, 1983. "The Determinants of Investment: Another Look," American Economic Review, American Economic Association, vol. 73(2), pages 71-75, May.
    5. Hayashi, Fumio, 1982. "Tobin's Marginal q and Average q: A Neoclassical Interpretation," Econometrica, Econometric Society, vol. 50(1), pages 213-224, January.
    6. Caballero, Ricardo J., 1999. "Aggregate investment," Handbook of Macroeconomics,in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 12, pages 813-862 Elsevier.
    7. Fama, Eugene F. & Gibbons, Michael R., 1982. "Inflation, real returns and capital investment," Journal of Monetary Economics, Elsevier, vol. 9(3), pages 297-323.
    8. Hamilton, James D., 1986. "State-space models," Handbook of Econometrics,in: R. F. Engle & D. McFadden (ed.), Handbook of Econometrics, edition 1, volume 4, chapter 50, pages 3039-3080 Elsevier.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Bayesian Estimation; MCMC; Kalman Filter; Investment;

    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
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity

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