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Economatrics Anakysis

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Economatrics Anakysis
ECONOMETRICS
Bruce E. Hansen c °2000, 20061 University of Wisconsin www.ssc.wisc.edu/~bhansen Revised: January 2006 Comments Welcome

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Contents
1 Introduction 1.1 Economic Data . . 1.2 Observational Data 1.3 Random Sample . 1.4 Economic Data . . 1 1 1 2 2 4 4 5 6 7 8 8 9 9 10 11 11 12 14 15 15 20 21 21 22 25 26 27 28 30 32 33 34 35

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2 Matrix Algebra 2.1 Terminology . . . . . . . . . . . . . . . . . 2.2 Matrix Multiplication . . . . . . . . . . . 2.3 Trace . . . . . . . . . . . . . . . . . . . . . 2.4 Inverse . . . . . . . . . . . . . . . . . . . . 2.5 Eigenvalues . . . . . . . . . . . . . . . . . 2.6 Rank and Positive Definiteness . . . . . . 2.7 Matrix Calculus . . . . . . . . . . . . . . . 2.8 Determinant . . . . . . . . . . . . . . . . . 2.9 Kronecker Products and the Vec Operator 3 Regression and Projection 3.1 Conditional Mean . . . . . 3.2 Regression Equation . . . 3.3 Conditional Variance . . . 3.4 Linear Regression . . . . . 3.5 Best Linear Predictor . . 3.6 Exercises . . . . . . . . . 4 Least Squares Estimation 4.1 Estimation . . . . . . . . 4.2 Least Squares . . . . . . . 4.3 Normal Regression Model 4.4 Model in Matrix Notation 4.5 Projection Matrices . . . . 4.6 Residual Regression . . . 4.7 Bias and Variance . . . . 4.8 Gauss-Markov Theorem . 4.9 Semiparametric Efficiency 4.10 Omitted Variables . . . . 4.11 Multicollinearity . . . . .

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Bibliography: [1] Aitken, A.C. (1935): “On least squares and linear combinations of observations,” Proceedings of the Royal Statistical Society, 55, 42-48. [2] Akaike, H. (1973): “Information theory and an extension of the maximum likelihood principle.” In B. Petroc and F. Csake, eds., Second International Symposium on Information Theory. [3] Anderson, T.W. and H. Rubin (1949): “Estimation of the parameters of a single equation in a complete system of stochastic equations,” The Annals of Mathematical Statistics, 20, 46-63. [4] Andrews, D.W.K. (1988): “Laws of large numbers for dependent non-identically distributed random variables,’ Econometric Theory, 4, 458-467. [5] Andrews, D.W.K. (1991), “Asymptotic normality of series estimators for nonparameric and semiparametric regression models,” Econometrica, 59, 307-345. [6] Andrews, D.W.K. (1993), “Tests for parameter instability and structural change with unknown change point,” Econometrica, 61, 821-8516. [7] Andrews, D.W.K. and M. Buchinsky: (2000): “A three-step method for choosing the number of bootstrap replications,” Econometrica, 68, 23-51. [8] Andrews, D.W.K. and W. Ploberger (1994): “Optimal tests when a nuisance parameter is present only under the alternative,” Econometrica, 62, 1383-1414. [9] Basmann, R. L. (1957): “A generalized classical method of linear estimation of coefficients in a structural equation,” Econometrica, 25, 77-83. [10] Bekker, P.A. (1994): “Alternative approximations to the distributions of instrumental variable estimators, Econometrica, 62, 657-681. [11] Billingsley, P. (1968): Convergence of Probability Measures. New York: Wiley. [12] Billingsley, P. (1979): Probability and Measure. New York: Wiley. [13] Bose, A. (1988): “Edgeworth correction by bootstrap in autoregressions,” Annals of Statistics, 16, 1709-1722. [14] Breusch, T.S. and A.R. Pagan (1979): “The Lagrange multiplier test and its application to model specification in econometrics,” Review of Economic Studies, 47, 239-253. [15] Brown, B.W. and W.K. Newey (2002): “GMM, efficient bootstrapping, and improved inference ,” Journal of Business and Economic Statistics. 186 [16] Carlstein, E. (1986): “The use of subseries methods for estimating the variance of a general statistic from a stationary time series,” Annals of Statistics, 14, 1171-1179. [17] Chamberlain, G. (1987): “Asymptotic efficiency in estimation with conditional moment restrictions,” Journal of Econometrics, 34, 305-334. [18] Choi, I. and P.C.B. Phillips (1992): “Asymptotic and finite sample distribution theory for IV estimators and tests in partially identified structural equations,” Journal of Econometrics, 51, 113-150. [19] Chow, G.C. (1960): “Tests of equality between sets of coefficients in two linear regressions,” Econometrica, 28, 591-603. [20] Davidson, J. (1994): Stochastic Limit Theory: An Introduction for Econometricians. Oxford: Oxford University Press. [21] Davison, A.C. and D.V. Hinkley (1997): Bootstrap Methods and their Application. Cambridge University Press. [22] Dickey, D.A. and W.A. Fuller (1979): “Distribution of the estimators for autoregressive time series with a unit root,” Journal of the American Statistical Association, 74, 427-431. [23] Donald S.G. and W.K. Newey (2001): “Choosing the number of instruments,” Econometrica, 69, 1161-1191. [24] Dufour, J.M. (1997): “Some impossibility theorems in econometrics with applications to structural and dynamic models,” Econometrica, 65, 1365-1387. [25] Efron, Bradley (1979): “Bootstrap methods: Another look at the jackknife,” Annals of Statistics, 7, 1-26. [26] Efron, Bradley (1982): The Jackknife, the Bootstrap, and Other Resampling Plans. Society for Industrial and Applied Mathematics. [27] Efron, Bradley and R.J. Tibshirani (1993): An Introduction to the Bootstrap, New York: Chapman-Hall. [28] Eicker, F. (1963): “Asymptotic normality and consistency of the least squares estimators for families of linear regressions,” Annals of Mathematical Statistics, 34, 447-456. [29] Engle, R.F. and C.W.J. Granger (1987): “Co-integration and error correction: Representation, estimation and testing,” Econometrica, 55, 251-276. [30] Frisch, R. and F. Waugh (1933): “Partial time regressions as compared with individual trends,” Econometrica, 1, 387-401. [31] Gallant, A.F. and D.W. Nychka (1987): “Seminonparametric maximum likelihood estimation,” Econometrica, 55, 363-390. [32] Gallant, A.R. and H. White (1988): A Unified Theory of Estimation and Inference for Nonlinear Dynamic Models. New York: Basil Blackwell. [33] Goldberger, Arthur S. (1991): A Course in Econometrics. Cambridge: Harvard University Press. 187 [34] Goffe, W.L., G.D. Ferrier and J. Rogers (1994): “Global optimization of statistical functions with simulated annealing,” Journal of Econometrics, 60, 65-99. [35] Gauss, K.F. (1809): “Theoria motus corporum coelestium,” in Werke, Vol. VII, 240-254. [36] Granger, C.W.J. (1969): “Investigating causal relations by econometric models and crossspectral methods,” Econometrica, 37, 424-438. [37] Granger, C.W.J. (1981): “Some properties of time series data and their use in econometric specification,” Journal of Econometrics, 16, 121-130. [38] Granger, C.W.J. and T. Teräsvirta (1993): Modelling Nonlinear Economic Relationships, Oxford University Press, Oxford. [39] Hall, A. R. (2000): “Covariance matrix estimation and the power of the overidentifying restrictions test,” Econometrica, 68, 1517-1527, [40] Hall, P. (1992): The Bootstrap and Edgeworth Expansion, New York: Springer-Verlag. [41] Hall, P. (1994): “Methodology and theory for the bootstrap,” Handbook of Econometrics, Vol. IV, eds. R.F. Engle and D.L. McFadden. New York: Elsevier Science. [42] Hall, P. and J.L. Horowitz (1996): “Bootstrap critical values for tests based on GeneralizedMethod-of-Moments estimation,” Econometrica, 64, 891-916. [43] Hahn, J. (1996): “A note on bootstrapping generalized method of moments estimators,” Econometric Theory, 12, 187-197. [44] Hansen, B.E. (1992): “Efficient estimation and testing of cointegrating vectors in the presence of deterministic trends,” Journal of Econometrics, 53, 87-121. [45] Hansen, B.E. (1996): “Inference when a nuisance parameter is not identified under the null hypothesis,” Econometrica, 64, 413-430. [46] Hansen, L.P. (1982): “Large sample properties of generalized method of moments estimators, Econometrica, 50, 1029-1054. [47] Hansen, L.P., J. Heaton, and A. Yaron (1996): “Finite sample properties of some alternative GMM estimators,” Journal of Business and Economic Statistics, 14, 262-280. [48] Hausman, J.A. (1978): “Specification tests in econometrics,” Econometrica, 46, 1251-1271. [49] Heckman, J. (1979): “Sample selection bias as a specification error,” Econometrica, 47, 153161. [50] Imbens, G.W. (1997): “One step estimators for over-identified generalized method of moments models,” Review of Economic Studies, 64, 359-383. [51] Imbens, G.W., R.H. Spady and P. Johnson (1998): “Information theoretic approaches to inference in moment condition models,” Econometrica, 66, 333-357. [52] Jarque, C.M. and A.K. Bera (1980): “Efficient tests for normality, homoskedasticity and serial independence of regression residuals, Economic Letters, 6, 255-259. 188 [53] Johansen, S. (1988): “Statistical analysis of cointegrating vectors,” Journal of Economic Dynamics and Control, 12, 231-254. [54] Johansen, S. (1991): “Estimation and hypothesis testing of cointegration vectors in the presence of linear trend,” Econometrica, 59, 1551-1580. [55] Johansen, S. (1995): Likelihood-Based Inference in Cointegrated Vector Auto-Regressive Models, Oxford University Press. [56] Johansen, S. and K. Juselius (1992): “Testing structural hypotheses in a multivariate cointegration analysis of the PPP and the UIP for the UK,” Journal of Econometrics, 53, 211-244. [57] Kitamura, Y. (2001): “Asymptotic optimality and empirical likelihood for testing moment restrictions,” Econometrica, 69, 1661-1672. [58] Kitamura, Y. and M. Stutzer (1997): “An information-theoretic alternative to generalized method of moments,” Econometrica, 65, 861-874.. [59] Koenker, Roger (2005): Quantile Regression. Cambridge University Press. [60] Kunsch, H.R. (1989): “The jackknife and the bootstrap for general stationary observations,” Annals of Statistics, 17, 1217-1241. [61] Kwiatkowski, D., P.C.B. Phillips, P. Schmidt, and Y. Shin (1992): “Testing the null hypothesis of stationarity against the alternative of a unit root: How sure are we that economic time series have a unit root?” Journal of Econometrics, 54, 159-178. [62] Lafontaine, F. and K.J. White (1986): “Obtaining any Wald statistic you want,” Economics Letters, 21, 35-40. [63] Lovell, M.C. (1963): “Seasonal adjustment of economic time series,” Journal of the American Statistical Association, 58, 993-1010. [64] MacKinnon, J.G. (1990): “Critical values for cointegration,” in Engle, R.F. and C.W. Granger (eds.) Long-Run Economic Relationships: Readings in Cointegration, Oxford, Oxford University Press. [65] MacKinnon, J.G. and H. White (1985): “Some heteroskedasticity-consistent covariance matrix estimators with improved finite sample properties,” Journal of Econometrics, 29, 305-325. [66] Magnus, J. R., and H. Neudecker (1988): Matrix Differential Calculus with Applications in Statistics and Econometrics, New York: John Wiley and Sons. [67] Muirhead, R.J. (1982): Aspects of Multivariate Statistical Theory. New York: Wiley. [68] Nelder, J. and R. Mead (1965): “A simplex method for function minimization,” Computer Journal, 7, 308-313. [69] Newey, W.K. and K.D. West (1987): “Hypothesis testing with efficient method of moments estimation,” International Economic Review, 28, 777-787. [70] Owen, Art B. (1988): “Empirical likelihood ratio confidence intervals for a single functional,” Biometrika, 75, 237-249. 189 [71] Owen, Art B. (2001): Empirical Likelihood. New York: Chapman & Hall. [72] Phillips, P.C.B. (1989): “Partially identified econometric models,” Econometric Theory, 5, 181-240. [73] Phillips, P.C.B. and S. Ouliaris (1990): “Asymptotic properties of residual based tests for cointegration,” Econometrica, 58, 165-193. [74] Politis, D.N. and J.P. Romano (1996): “The stationary bootstrap,” Journal of the American Statistical Association, 89, 1303-1313. [75] Potscher, B.M. (1991): “Effects of model selection on inference,” Econometric Theory, 7, 163-185. [76] Qin, J. and J. Lawless (1994): “Empirical likelihood and general estimating equations,” The Annals of Statistics, 22, 300-325. [77] Ramsey, J. B. (1969): “Tests for specification errors in classical linear least-squares regression analysis,” Journal of the Royal Statistical Society, Series B, 31, 350-371. [78] Rudin, W. (1987): Real and Complex Analysis, 3rd edition. New York: McGraw-Hill. [79] Said, S.E. and D.A. Dickey (1984): “Testing for unit roots in autoregressive-moving average models of unknown order,” Biometrika, 71, 599-608. [80] Shao, J. and D. Tu (1995): The Jackknife and Bootstrap. NY: Springer. [81] Sargan, J.D. (1958): “The estimation of economic relationships using instrumental variables,” Econometrica, 2 6, 393-415. [82] Sheather, S.J. and M.C. Jones (1991): “A reliable data-based bandwidth selection method for kernel density estimation, Journal of the Royal Statistical Society, Series B, 53, 683-690. [83] Shin, Y. (1994): “A residual-based test of the null of cointegration against the alternative of no cointegration,” Econometric Theory, 10, 91-115. [84] Silverman, B.W. (1986): Density Estimation for Statistics and Data Analysis. London: Chapman and Hall. [85] Sims, C.A. (1972): “Money, income and causality,” American Economic Review, 62, 540-552. [86] Sims, C.A. (1980): “Macroeconomics and reality,” Econometrica, 48, 1-48. [87] Staiger, D. and J.H. Stock (1997): “Instrumental variables regression with weak instruments,” Econometrica, 65, 557-586. [88] Stock, J.H. (1987): “Asymptotic properties of least squares estimators of cointegrating vectors,” Econometrica, 55, 1035-1056. [89] Stock, J.H. (1991): “Confidence intervals for the largest autoregressive root in U.S. macroeconomic time series,” Journal of Monetary Economics, 28, 435-460. [90] Stock, J.H. and J.H. Wright (2000): “GMM with weak identification,” Econometrica, 68, 1055-1096. 190 [91] Theil, H. (1953): “Repeated least squares applied to complete equation systems,” The Hague, Central Planning Bureau, mimeo. [92] Tobin, J. (1958): “Estimation of relationships for limited dependent variables,” Econometrica, 2 6, 24-36. [93] Wald, A. (1943): “Tests of statistical hypotheses concerning several parameters when the number of observations is large,” Transactions of the American Mathematical Society, 54, 426-482. [94] Wang, J. and E. Zivot (1998): “Inference on structural parameters in instrumental variables regression with weak instruments,” Econometrica, 66, 1389-1404. [95] White, H. (1980): “A heteroskedasticity-consistent covariance matrix estimator and a direct test for heteroskedasticity,” Econometrica, 48, 817-838. [96] White, H. (1984): Asymptotic Theory for Econometricians, Academic Press. [97] Zellner, A. (1962): “An efficient method of estimating seemingly unrelated regressions, and tests for aggregation bias,” Journal of the American Statistical Association, 57, 348-368. 191

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