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Euler-Equation Estimation for Discrete Choice Models: A Capital Accumulation Application

  • Russell Cooper
  • John Haltiwanger
  • Jonathan L. Willis

This paper studies capital adjustment at the establishment level. Our goal is to characterize capital adjustment costs, which are important for understanding both the dynamics of aggregate investment and the impact of various policies on capital accumulation. Our estimation strategy searches for parameters that minimize ex post errors in an Euler equation. This strategy is quite common in models for which adjustment occurs in each period. Here, we extend that logic to the estimation of parameters of dynamic optimization problems in which non-convexities lead to extended periods of investment inactivity. In doing so, we create a method to take into account censored observations stemming from intermittent investment. This methodology allows us to take the structural model directly to the data, avoiding time-consuming simulationbased methods. To study the effectiveness of this methodology, we first undertake several Monte Carlo exercises using data generated by the structural model. We then estimate capital adjustment costs for U.S. manufacturing establishments in two sectors.

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Paper provided by European University Institute in its series Economics Working Papers with number ECO2010/21.

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Date of creation: 2010
Date of revision:
Handle: RePEc:eui:euiwps:eco2010/21
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  1. Russell W. Cooper & John C. Haltiwanger, 2000. "On the Nature of Capital Adjustment Costs," NBER Working Papers 7925, National Bureau of Economic Research, Inc.
  2. Simon Gilchrist & Charles P. Himmelberg, 1993. "Evidence on the role of cash flow for investment," Finance and Economics Discussion Series 93-7, Board of Governors of the Federal Reserve System (U.S.).
  3. Eberly, J.C., 1990. "Adjustment of Consumers'durables Stocks: Evidence from Automobile Purchases," Weiss Center Working Papers 22-91, Wharton School - Weiss Center for International Financial Research.
  4. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-54, July.
  5. Zvi Griliches & Jerry A. Hausman, 1984. "Errors in Variables in Panel Data," NBER Technical Working Papers 0037, National Bureau of Economic Research, Inc.
  6. Tauchen, George, 1986. "Finite state markov-chain approximations to univariate and vector autoregressions," Economics Letters, Elsevier, vol. 20(2), pages 177-181.
  7. Hansen, Lars Peter & Singleton, Kenneth J, 1982. "Generalized Instrumental Variables Estimation of Nonlinear Rational Expectations Models," Econometrica, Econometric Society, vol. 50(5), pages 1269-86, September.
  8. Aguirregabiria, V., 1997. "Estimation of Dynamic Programming Models with Censored Dependent Variables," UWO Department of Economics Working Papers 9711, University of Western Ontario, Department of Economics.
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