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Dynamic factor demands under rational expectations

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  • Pindyck, Robert S.
  • Rotemberg, Julio.

Abstract

This paper presents a dynamic model of the industrial demands for structures, equipment, and blue- and white-collar labor. Our approach is consistent with producers holding rational expectations and optimizing dynamically in the presence of adjustment costs, yet it permits generality of functional form regarding the technology. We represent the technology by atranslog input requirement function that specifies the amount of blue-collar labor (a flexible factor) the firm must hire to produce a level of output given its quantities of three quasi-fixed factors that are subject to adjustment costs: non-production (white-collar) workers, equipment, and structures.A complete description of the production structure is obtained by simultaneously estimating the input requirement function and three stochastic Euler equations.We apply an instrumental variable technique to estimate these equations using aggregate data for U.S. manufacturing. We find that as a fraction of total expenditures, adjustment costs are small in total hut large on the margin,and that they differ considerably across quasi-fixed factors. We also present short- and long-run elasticities of factor demands.
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Suggested Citation

  • Pindyck, Robert S. & Rotemberg, Julio., 1982. "Dynamic factor demands under rational expectations," Working papers 1351-82., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    • Handle: RePEc:mit:sloanp:2022
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    File URL: http://hdl.handle.net/1721.1/2022
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    References listed on IDEAS

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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.
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    3. Morrison, C. J. & Berndt, E. R., 1981. "Short-run labor productivity in a dynamic model," Journal of Econometrics, Elsevier, vol. 16(3), pages 339-365, August.
    4. Meese, Richard, 1980. "Dynamic factor demand schedules for labor and capital under rational expectations," Journal of Econometrics, Elsevier, vol. 14(1), pages 141-158, September.
    5. Kennan, John, 1979. "The Estimation of Partial Adjustment Models with Rational Expectations," Econometrica, Econometric Society, vol. 47(6), pages 1441-1455, November.
    6. Martin Feldstein & Lawrence Summers, 1983. "Inflation and the Taxation of Capital Income in the Corporate Sector," NBER Chapters, in: Inflation, Tax Rules, and Capital Formation, pages 116-152, National Bureau of Economic Research, Inc.
    7. Pindyck, Robert S & Rotemberg, Julio J, 1983. "Dynamic Factor Demands and the Effects of Energy Price Shocks," American Economic Review, American Economic Association, vol. 73(5), pages 1066-1079, December.
    8. Hansen, Lars Peter & Singleton, Kenneth J, 1982. "Generalized Instrumental Variables Estimation of Nonlinear Rational Expectations Models," Econometrica, Econometric Society, vol. 50(5), pages 1269-1286, September.
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    Cited by:

    1. Santos, Gervásio F., 2013. "Fuel demand in Brazil in a dynamic panel data approach," Energy Economics, Elsevier, vol. 36(C), pages 229-240.
    2. Heshmati, Almas & Ncube, Mkhululi, 1998. "An Econometric Model of Employment in Zimbabwe's Manufacturing Industries," SSE/EFI Working Paper Series in Economics and Finance 277, Stockholm School of Economics, revised 15 Aug 2003.
    3. Jeffrey I. Bernstein & M. Ishaq Nadiri, 1988. "Rates Of Return On Physical And R&D Capital And Structure Of The Production Process: Cross Section And Time Series Evidence," NBER Working Papers 2570, National Bureau of Economic Research, Inc.
    4. Shapiro, Matthew D, 1986. "Capital Utilization and Capital Accumulation: Theory and Evidence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 1(3), pages 211-234, July.
    5. Goo, Moon Mo, 1997. "The measurement of market power: short-run, long-run, and dynamic adjustment models," ISU General Staff Papers 1997010108000012985, Iowa State University, Department of Economics.

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    HD28 .M414 no.1351-; 82;

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