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Econometric notes

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  • Calzolari, Giorgio

Abstract

Lecture notes for a course of Introductory Econometrics (linear regression model and ordinary least squares, including concepts of Linear Algebra and Inferential Statistics), and for a second course of Econometrics (simultaneous equations, instrumental variables, limited and full information estimation methods, maximum likelihood).

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  • Calzolari, Giorgio, 2012. "Econometric notes," MPRA Paper 71440, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:71440
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    References listed on IDEAS

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    1. N/A, 1976. "Chapter III. the World Economy," National Institute Economic Review, National Institute of Economic and Social Research, vol. 75(1), pages 33-63, February.
    2. N/A, 1976. "Chapter I. The Home Economy," National Institute Economic Review, National Institute of Economic and Social Research, vol. 76(1), pages 6-24, May.
    3. Bianchi, Carlo & Calzolari, Giorgio & Corsi, Paolo, 1981. "Estimating asymptotic standard errors and inconsistencies of impact multipliers in nonlinear econometric models," Journal of Econometrics, Elsevier, vol. 16(3), pages 277-294, August.
    4. Phillips, P C B, 1982. "On the Consistency of Nonlinear FIML," Econometrica, Econometric Society, vol. 50(5), pages 1307-1324, September.
    5. N/A, 1976. "Chapter II. The World Economy," National Institute Economic Review, National Institute of Economic and Social Research, vol. 78(1), pages 21-39, November.
    6. N/A, 1976. "Chapter I. The Home Economy," National Institute Economic Review, National Institute of Economic and Social Research, vol. 78(1), pages 6-20, November.
    7. Jerry A. Hausman, 1974. "Full Information Instrumental Variables Estimation of Simultaneous Equations Systems," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 3, number 4, pages 641-652, National Bureau of Economic Research, Inc.
    8. Calzolari, Giorgio & Panattoni, Lorenzo & Weihs, Claus, 1987. "Computational efficiency of FIML estimation," Journal of Econometrics, Elsevier, vol. 36(3), pages 299-310, November.
    9. Amemiya, Takeshi, 1983. "Non-linear regression models," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 1, chapter 6, pages 333-389, Elsevier.
    10. Toye, J. F. J., 1976. "Economic Theories of Politics and Public Finance," British Journal of Political Science, Cambridge University Press, vol. 6(4), pages 433-447, October.
    11. Hausman, Jerry A., 1983. "Specification and estimation of simultaneous equation models," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 1, chapter 7, pages 391-448, Elsevier.
    12. N/A, 1976. "Chapter II. The World Economy," National Institute Economic Review, National Institute of Economic and Social Research, vol. 77(1), pages 33-49, August.
    13. Lyttkens, Ejnar, 1974. "The iterative instrumental variables method and the full information maximum likelihood method for estimating interdependent systems," Journal of Multivariate Analysis, Elsevier, vol. 4(3), pages 283-307, September.
    14. Hausman, Jerry A, 1975. "An Instrumental Variable Approach to Full Information Estimators for Linear and Certain Nonlinear Econometric Models," Econometrica, Econometric Society, vol. 43(4), pages 727-738, July.
    15. Calzolari, Giorgio & Panattoni, Lorenzo, 1988. "Alternative Estimators of FIML Covariance Matrix: A Monte Carlo Stud y," Econometrica, Econometric Society, vol. 56(3), pages 701-714, May.
    16. Hatanaka, Michio, 1978. "On the efficient estimation methods for the macro-economic models nonlinear in variables," Journal of Econometrics, Elsevier, vol. 8(3), pages 323-356, December.
    17. Hendry, David F., 1976. "The structure of simultaneous equations estimators," Journal of Econometrics, Elsevier, vol. 4(1), pages 51-88, February.
    18. James M. Brundy & Dale W. Jorgenson, 1974. "The Relative Efficiency of Instrumental Variables Estimators of Systems of Simultaneous Equations," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 3, number 4, pages 679-700, National Bureau of Economic Research, Inc.
    19. Anderson, T.W., 2005. "Origins of the limited information maximum likelihood and two-stage least squares estimators," Journal of Econometrics, Elsevier, vol. 127(1), pages 1-16, July.
    20. Fair, Ray C., 1986. "Evaluating the predictive accuracy of models," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 3, chapter 33, pages 1979-1995, Elsevier.
    21. Gallant, A. Ronald, 1977. "Three-stage least-squares estimation for a system of simultaneous, nonlinear, implicit equations," Journal of Econometrics, Elsevier, vol. 5(1), pages 71-88, January.
    22. 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.
    23. Calzolari, Giorgio & Sampoli, Letizia, 1993. "A Curious Result on Exact FIML and Instrumental Variables," Econometric Theory, Cambridge University Press, vol. 9(2), pages 296-309, April.
    24. Durbin, James, 1988. "Maximum Likelihood Estimation of the Parameters of a System of Simultaneous Regression Equations," Econometric Theory, Cambridge University Press, vol. 4(1), pages 159-170, April.
    25. Dagenais, Marcel G, 1978. "The Computation of FIML Estimates as Iterative Generalized Least Squares Estimates in Linear and Nonlinear Simultaneous Equations Models," Econometrica, Econometric Society, vol. 46(6), pages 1351-1362, November.
    26. Bianchi, Carlo & Calzolari, Giorgio, 1980. "The One-Period Forecast Errors in Nonlinear Econometric Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 21(1), pages 201-208, February.
    27. Belsley, David A., 1980. "On the efficient computation of the nonlinear full-information maximum-likelihood estimator," Journal of Econometrics, Elsevier, vol. 14(2), pages 203-225, October.
    28. Howrey, E Philip & Klein, Lawrence R, 1972. "Dynamic Properties of Nonlinear Econometric Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 13(3), pages 599-618, October.
    29. Brundy, James M & Jorgenson, Dale W, 1971. "Efficient Estimation of Simultaneous Equations by Instrumental Variables," The Review of Economics and Statistics, MIT Press, vol. 53(3), pages 207-224, August.
    30. N/A, 1976. "Chapter II. The World Economy," National Institute Economic Review, National Institute of Economic and Social Research, vol. 76(1), pages 25-44, May.
    31. anonymous, 1976. "The economy in 1975," Federal Reserve Bulletin, Board of Governors of the Federal Reserve System (U.S.), issue Feb, pages 71-81.
    32. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Giorgio Calzolari & Gabriele Fiorentini, 1998. "A tobit model with garch errors," Econometric Reviews, Taylor & Francis Journals, vol. 17(1), pages 85-104.
    2. Giorgio Calzolari & Laura Magazzini, 2012. "Autocorrelation and masked heterogeneity in panel data models estimated by maximum likelihood," Empirical Economics, Springer, vol. 43(1), pages 145-152, August.
    3. Giorgio Calzolari & F. Di Iorio & G. Fiorentini, 1999. "Indirect Estimation of Just-Identified Models with Control Variates," Econometrics Working Papers Archive quaderno46, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
    4. Guido Tatone, 2016. "L?influenza dell?enforcement contrattuale sulla qualit? della prestazione negli appalti pubblici: una rassegna teorica," ECONOMIA PUBBLICA, FrancoAngeli Editore, vol. 2016(2), pages 107-129.
    5. Patrick Artus, 1991. "Indicateurs de conjoncture et marchés financiers," Économie et Prévision, Programme National Persée, vol. 99(3), pages 31-41.
    6. Bianchi, Carlo & Calzolari, Giorgio, 1983. "Standard errors of forecasts in dynamic simulation of nonlinear econometric models: some empirical results," MPRA Paper 22657, University Library of Munich, Germany, revised 1983.
    7. Patrick Artus & Sani Avouyi-Dovi, 1990. "Inflation anticipée, politique monétaire et taux d'intérêt aux Etats-Unis," Revue Économique, Programme National Persée, vol. 41(3), pages 581-598.
    8. Calzolari, Giorgio & Panattoni, Lorenzo, 1984. "Evaluating Forecast Uncertainty in Econometric Models: The Effect of Alternative Estimators of Maximum Likelihood Covariance Matrix," MPRA Paper 28806, University Library of Munich, Germany.
    9. Hendry, David F., 1984. "Monte carlo experimentation in econometrics," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 2, chapter 16, pages 937-976, Elsevier.
    10. Mariano, Roberto S, 1985. "Finite-Sample Properties in Stochastic Predictors in Nonlinear Systems : Some Initial Results," The Warwick Economics Research Paper Series (TWERPS) 266, University of Warwick, Department of Economics.
    11. Calzolari, Giorgio & Fiorentini, Gabriele & Panattoni, Lorenzo, 1993. "Alternative estimators of the covariance matrix in GARCH models," MPRA Paper 24433, University Library of Munich, Germany.

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    More about this item

    Keywords

    Econometric models; linear regression model; simultaneous equations; instrumental variables; seemingly unrelated regression equations; maximum likelihood; 2SLS; 3SLS; LIVE; IIV; FIVE;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables

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