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A multicriteria approach to model specification and estimation

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  • Kalaba, Robert
  • Tesfatsion, Leigh

Abstract

This study considers why multicriteria techniques have not been widely adopted in econometrics to date. It then presents a multicriteria approach to estimation problems for which the basic objective is to learn about the sequence of states through which a process has passed. The multicriteria approach involves the construction of a "cost efficient frontier" which determines the set of state trajectory estimates that are minimally incompatible with a specified set of model criteria. This approach includes flexible least squares (FLS) and generalized flexible least squares (GFLS) as special cases; see the articles on FLS and GFLS cited below. The study also surveys recent theoretical and empirical work that makes use of FLS and GFLS. Annotated pointers to related work can be accessed here: http://www2.econ.iastate.edu/tesfatsi/flshome.htm
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  • Kalaba, Robert & Tesfatsion, Leigh, 1996. "A multicriteria approach to model specification and estimation," Computational Statistics & Data Analysis, Elsevier, vol. 21(2), pages 193-214, February.
  • Handle: RePEc:eee:csdana:v:21:y:1996:i:2:p:193-214
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    1. Tesfatsion, Leigh & Veitch, John M., 1990. "U.S. money demand instability A flexible least squares approach," Journal of Economic Dynamics and Control, Elsevier, vol. 14(1), pages 151-173, February.
    2. HENDRY, David F. & RICHARD, Jean-François, 1983. "The econometric analysis of economic time series," LIDAM Reprints CORE 531, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    3. Kalaba, R. & Tesfatsion, L., 1988. "An Organizing Principle For Dynamic Estimation," Papers m8818, Southern California - Department of Economics.
    4. Kalaba, Robert & Tesfatsion, Leigh, 1988. "The flexible least squares approach to time-varying linear regression," Journal of Economic Dynamics and Control, Elsevier, vol. 12(1), pages 43-48, March.
    5. Korhonen, Pekka & Moskowitz, Herbert & Wallenius, Jyrki, 1992. "Multiple criteria decision support - A review," European Journal of Operational Research, Elsevier, vol. 63(3), pages 361-375, December.
    6. Kalaba, Robert E. & Tesfatsion, Leigh S., 1981. "Exact Sequential Solutions for a Class of Discrete-Time Nonlinear Estimation Problems," Staff General Research Papers Archive 11216, Iowa State University, Department of Economics.
    7. Kalaba, Robert & Rasakhoo, Nima & Tesfatsion, Leigh, 1989. "A FORTRAN program for time-varying linear regression via flexible least squares," Computational Statistics & Data Analysis, Elsevier, vol. 7(3), pages 291-309, February.
    8. Seiford, Lawrence M. & Thrall, Robert M., 1990. "Recent developments in DEA : The mathematical programming approach to frontier analysis," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 7-38.
    9. Charnes, A. & Cooper, W. W. & Golany, B. & Seiford, L. & Stutz, J., 1985. "Foundations of data envelopment analysis for Pareto-Koopmans efficient empirical production functions," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 91-107.
    10. Nelson, Charles R. & Plosser, Charles I., 1982. "Trends and random walks in macroeconmic time series : Some evidence and implications," Journal of Monetary Economics, Elsevier, vol. 10(2), pages 139-162.
    11. Kalaba, Robert E. & Tesfatsion, Leigh S., 1980. "A Least-Squares Model Specification Test for a Class of Dynamic Nonlinear Economic Models With Systematically Varying Parameters," Staff General Research Papers Archive 11222, Iowa State University, Department of Economics.
    12. Kalaba, Robert E. & Tesfatsion, Leigh S., 1990. "Flexible Least Squares for Approximately Linear Systems," Staff General Research Papers Archive 11190, Iowa State University, Department of Economics.
    13. Kalaba, Robert E. & Tesfatsion, Leigh S., 1989. "Time-Varying Linear Regression Via Flexible Least Squares," Staff General Research Papers Archive 11196, Iowa State University, Department of Economics.
    14. James S. Dyer & Peter C. Fishburn & Ralph E. Steuer & Jyrki Wallenius & Stanley Zionts, 1992. "Multiple Criteria Decision Making, Multiattribute Utility Theory: The Next Ten Years," Management Science, INFORMS, vol. 38(5), pages 645-654, May.
    15. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    16. Kalaba, R. & Tesfatsion, L., 1989. "A Multicriteria Approach To Dynamic Estimation," Papers 8904, Southern California - Department of Economics.
    17. Leamer, Edward E, 1985. "Sensitivity Analyses Would Help," American Economic Review, American Economic Association, vol. 75(3), pages 308-313, June.
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    2. Vêlayoudom Marimoutou & Denis Peguin & Anne Peguin-Feissolle, 2009. "The "distance-varying" gravity model in international economics: is the distance an obstacle to trade?," Economics Bulletin, AccessEcon, vol. 29(2), pages 1139-1155.
    3. Peter Winker & Manfred Gilli & Vahidin Jeleskovic, 2007. "An objective function for simulation based inference on exchange rate data," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 2(2), pages 125-145, December.
    4. Josipa VIŠIC & Blanka ŠKRABIC, 2010. "Determinants of Incoming Cross-Border M&A: Evidence from European Transition Economies," EcoMod2010 259600168, EcoMod.
    5. Zsolt Darvas & Balázs Varga, 2012. "Uncovering Time-Varying Parameters with the Kalman-Filter and the Flexible Least Squares: a Monte Carlo Study," Working Papers 1204, Department of Mathematical Economics and Economic Analysis, Corvinus University of Budapest.

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    More about this item

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling

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