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Modelling factor demands with SEM and VAR: an empirical comparison

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  • Matteo Manera

Abstract

The empirical analysis of the economic interactions between factors of production, output and corresponding prices has received much attention over the last two decades. Most contributions in this area have agreed on the neoclassical principle of a representative optimizing firm and typically use theory-based structural equation models (SEM). A popular alternative to SEM is given by the vector autoregression (VAR) methodology. The most recent attempts to link the SEM approach with VAR analysis in the area of factor demands concentrate on single-equation models, whereas no effort has been devoted to compare these alternative approaches when a firm is assumed to face a multi-factor technology and to decide simultaneously the optimal quantity for each input. This paper bridges this gap. First, we illustrate how the SEM and the VAR approaches can both represent valid alternatives to model systems of dynamic factor demands. Second, we show how to apply both methodologies to estimate dynamic factor demands derived from a cost-minimizing capital-labour-energy-materials (KLEM) technology with adjustment costs (ADC) on the quasi-fixed capital factor. Third, we explain how to use both models to calculate some widely accepted indicators of the production structure of an economic sector, such as price and quantity elasticities, and alternative measures of ADC. In particular, we propose and discuss some theoretical and empirical justifications of the differences between observed elasticities, measures of ADC, and the assumption of exogeneity of output and/or input prices. Finally, we offer some suggestions for the applied researcher.
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  • Matteo Manera, 2006. "Modelling factor demands with SEM and VAR: an empirical comparison," Journal of Productivity Analysis, Springer, vol. 26(2), pages 121-146, October.
  • Handle: RePEc:kap:jproda:v:26:y:2006:i:2:p:121-146
    DOI: 10.1007/s11123-006-0009-3
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    1. Dale W. Jorgenson & Jean-Jacques Laffont, 1974. "Efficient Estimation of Nonlinear Simultaneous Equations with Additive Disturbances," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 3, number 4, pages 615-640, National Bureau of Economic Research, Inc.
    2. Morrison, Catherine J, 1992. "Markups in U.S. and Japanese Manufacturing: A Short-Run Econometric Analysis," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(1), pages 51-63, January.
    3. Wayne H. Howard & C. Richard Shumway, 1988. "Dynamic Adjustment in the U.S. Dairy Industry," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 70(4), pages 837-847.
    4. Manera, Matteo, 1994. "Factor demands and substitution in the Italian manufacturing sector: a dynamic duality model," Ricerche Economiche, Elsevier, vol. 48(2), pages 141-163, June.
    5. Jones, Clifton T, 1994. "Accounting for technical progress in aggregate energy demand," Energy Economics, Elsevier, vol. 16(4), pages 245-252, October.
    6. Jeffrey I. Bernstein & M. Ishaq Nadiri, 1989. "Research and Development and Intra-industry Spillovers: An Empirical Application of Dynamic Duality," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 56(2), pages 249-267.
    7. Urbain, Jean-Pierre, 1992. "On Weak Exogeneity in Error Correction Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 54(2), pages 187-207, May.
    8. Catherine J. Morrison, 1989. "Markup Behavior in Durable and Nondurable Manufacturing: A production Theory Approach," NBER Working Papers 2941, National Bureau of Economic Research, Inc.
    9. Johansen, Soren, 1992. "Cointegration in partial systems and the efficiency of single-equation analysis," Journal of Econometrics, Elsevier, vol. 52(3), pages 389-402, June.
    10. J. Fernandez-Cornejo & C. M. Gempesaw II & J. G. Elterich & S. E. Stefanou, 1992. "Dynamic Measures of Scope and Scale Economies: An Application to German Agriculture," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 74(2), pages 329-342.
    11. Boswijk, H. Peter, 1995. "Efficient inference on cointegration parameters in structural error correction models," Journal of Econometrics, Elsevier, vol. 69(1), pages 133-158, September.
    12. Gang Liu, 2004. "Estimating Energy Demand Elasticities for OECD Countries. A Dynamic Panel Data Approach," Discussion Papers 373, Statistics Norway, Research Department.
    13. McLaren, Keith R & Cooper, Russel J, 1980. "Intertemporal Duality: Application to the Theory of the Firm," Econometrica, Econometric Society, vol. 48(7), pages 1755-1762, November.
    14. Osterwald-Lenum, Michael, 1992. "A Note with Quantiles of the Asymptotic Distribution of the Maximum Likelihood Cointegration Rank Test Statistics," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 54(3), pages 461-472, August.
    15. Dahl, Carol A., 1993. "A survey of energy demand elasticities in support of the development of the NEMS," MPRA Paper 13962, University Library of Munich, Germany.
    16. Ernst R. Berndt & Bronwyn H. Hall & Robert E. Hall & Jerry A. Hausman, 1974. "Estimation and Inference in Nonlinear Structural Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 3, number 4, pages 653-665, National Bureau of Economic Research, Inc.
    17. McElroy, Marjorie B, 1987. "Additive General Error Models for Production, Cost, and Derived Demand or Share Systems," Journal of Political Economy, University of Chicago Press, vol. 95(4), pages 737-757, August.
    18. Galeotti, Marzio, 1996. "The Intertemporal Dimension of Neoclassical Production Theory," Journal of Economic Surveys, Wiley Blackwell, vol. 10(4), pages 421-460, December.
    19. Engsted, Tom & Haldrup, Niels, 1994. "The Linear Quadratic Adjustment Cost Model and the Demand for Labour," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 9(S), pages 145-159, Suppl. De.
    20. Yir-Hueih Luh & Spiro E. Stefanou, 1991. "Productivity Growth in U.S. Agriculture under Dynamic Adjustment," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 73(4), pages 1116-1125.
    21. Pierre Lasserre & Pierre Ouellette, 1999. "Dynamic Factor Demands and Technology Measurement under Arbitrary Expectations," Journal of Productivity Analysis, Springer, vol. 11(3), pages 219-241, June.
    22. Bentzen, Jan & Engsted, Tom, 1993. "Short- and long-run elasticities in energy demand : A cointegration approach," Energy Economics, Elsevier, vol. 15(1), pages 9-16, January.
    23. Utpal Vasavada & Robert G. Chambers, 1986. "Investment in U.S. Agriculture," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 68(4), pages 950-960.
    24. Dermot Gately & Hiliard G. Huntington, 2002. "The Asymmetric Effects of Changes in Price and Income on Energy and Oil Demand," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 19-55.
    25. Engsted, Tom & Haldrup, Niels, 1999. "Estimating the LQAC Model with I(2) Variables," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(2), pages 155-170, March-Apr.
    26. Kouris, George, 1983. "Energy consumption and economic activity in industrialized economies--a note," Energy Economics, Elsevier, vol. 5(3), pages 207-212, July.
    27. Hunt, Lester & Manning, Neil, 1989. "Energy Price- and Income-Elasticities of Demand: Some Estimates for the UK Using the Cointegration Procedure," Scottish Journal of Political Economy, Scottish Economic Society, vol. 36(2), pages 183-193, May.
    28. Chang, Ching-Cheng & Stefanou, Spiro E., 1988. "Specification and estimation of asymmetric adjustment rates for quasi-fixed factors of production," Journal of Economic Dynamics and Control, Elsevier, vol. 12(1), pages 145-151, March.
    29. Wojciech W. Charemza & Derek F. Deadman, 1992. "New Directions In Econometric Practice," Books, Edward Elgar Publishing, number 84.
    30. Clements, Michael P. & Mizon, Grayham E., 1991. "Empirical analysis of macroeconomic time series : VAR and structural models," European Economic Review, Elsevier, vol. 35(4), pages 887-917, May.
    31. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    32. Hendry, D.F. & Richard, J.-F., 1987. "Recent developments in the theory of encompassing," LIDAM Discussion Papers CORE 1987022, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    33. Amemiya, Takeshi, 1977. "The Maximum Likelihood and the Nonlinear Three-Stage Least Squares Estimator in the General Nonlinear Simultaneous Equation Model," Econometrica, Econometric Society, vol. 45(4), pages 955-968, May.
    34. Larry G. Epstein, 1981. "Duality Theory and Functional Forms for Dynamic Factor Demands," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 48(1), pages 81-95.
    35. Epstein, Larry G & Denny, Michael G S, 1983. "The Multivariate Flexible Accelerator Model: Its Empirical Restrictions and an Application to U.S. Manufacturing," Econometrica, Econometric Society, vol. 51(3), pages 647-674, May.
    36. Yir-Hueih Luh & Spiro E. Stefanou, 1996. "Estimating Dynamic Dual Models under Nonstatic Expectations," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(4), pages 991-1003.
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    More about this item

    Keywords

    Simultaneous equation models; Vector autoregression models; Factor demands; Dynamic duality; C30; C52; D92;
    All these keywords.

    JEL classification:

    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • D92 - Microeconomics - - Micro-Based Behavioral Economics - - - Intertemporal Firm Choice, Investment, Capacity, and Financing

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