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The MODEL Procedure

References

Aiken, R.C., ed. (1985), Stiff Computation, New York: Oxford University Press.

Amemiya, T. (1974), "The Nonlinear Two-stage Least-squares Estimator," Journal of Econometrics, 2, 105--110.

Amemiya, T. (1977), "The Maximum Likelihood Estimator and the Nonlinear Three-Stage Least Squares Estimator in the General Nonlinear Simultaneous Equation Model," Econometrica, 45(4), 955--968.

Amemiya, T. (1985), Advanced Econometrics, Cambridge, MA: Harvard University Press.

Andrews, D.W.K. (1991), "Heteroscedasticity and Autocorrelation Consistent Covariance Matrix Estimation," Econometrica, 59(3), 817--858.

Andrews, D.W.K., and Monahan, J.C. (1992), "An Improved Heteroscedasticity and Autocorrelation Consistent Covariance Matrix Estimator," Econometrica, 60(4), 953--966.

Bard, Yonathan (1974), Nonlinear Parameter Estimation, New York: Academic Press, Inc.

Bates, D.M. and Watts, D.G. (1981), "A Relative Offset Orthogonality Convergence Criterion for Nonlinear Least Squares," Technometrics, 23, 2, 179--183.

Belsley, D.A., Kuh, E., and Welsch, R.E. (1980), Regression Diagnostics, New York: John Wiley & Sons, Inc.

Binkley, J.K. and Nelson, G. (1984),"Impact of Alternative Degrees of Freedom Corrections in Two and Three Stage Least Squares," Journal of Econometrics, 24,3, 223--233.

Bowden, R.J. and Turkington, D.A. (1984), Instrumental Variables, Cambridge University Press.

Bratley, P., B.L. Fox, and H. Niederreiter (1992), "Implementation and tests of Low-Discrepancy Sequences", ACM Transactions on Modeling and Computer Simulation, 2(3), pg 195-213.

Breusch, T.S. and Pagan, A.R., (1979), "A Simple Test for Heteroscedasticity and Random Coefficient Variation," Econometrica, 47(5), 1287--1294.

Breusch, T.S. and Pagan, A.R. (1980), "The Lagrange Multiplier Test and its Applications to Model Specification in Econometrics," Review of Econometric Studies, 47, 239--253.

Byrne, G.D. and Hindmarsh, A.C. (1975), "A Polyalgorithm for the Numerical Solution of ODEs," in ACM TOMS, 1(1), 71--96.

Calzolari, G. and Panattoni, L. (1988),"Alternative Estimators of FIML Covariance Matrix: A Monte Carlo Study," Econometrica, 56(3), 701--714.

Chan, K.C. and Karolyi, G. Andrew and Longstaff, Francis A. and Sanders, Anthony B. (1992),"An Empirical Comparison of Alternate Models of the Short-Term Interest Rate", The Journal of Finance, 47(3), pg 1209--1227.

Christensen, L.R., Jorgenson, D.W. and L.J. Lau (1975), "Transcendental Logarithmic Utility Functions," American Economic Review, 65, 367--383.

Dagenais, M. G. (1978), "The Computation of FIML Estimates as Iterative Generalized Least Squares Estimates in Linear and Nonlinear Simultaneous Equation Models," Econometrica, 46, 6, 1351--1362.

Davidian, M and D.M Giltinan (1995), Nonlinear Models for Repeated Measurement Data, London: Chapman & Hall.

Davidson, R and MacKinnon, J.G. (1993), Estimation and Inference in Econometrics, New York: Oxford University Press.

Fair, R.C. (1984), Specification, Estimation, and Analysis of Macroeconometric Models, Cambridge: Harvard University Press.

Ferson, Wayne E. and Foerster, Stephen R. (1993), "Finite Sample Properties of the Generalized Method of Moments in Tests of Conditional Asset Pricing Models," Working Paper No. 77, University of Washington.

Fox, B.L. (1986), "Algorithm 647: Implementation and Relative Ef ficiency of Quasirandom Sequence Generators", ACM Transactions on Mathematical software, 12(4), pg 362-276.

Gallant, A.R. (1977), "Three-Stage Least Squares Estimation for a System of Simultaneous, Nonlinear, Implicit Equations," Journal of Econometrics, 5, 71--88.

Gallant, A.R. and Holly, Alberto (1980),"Statistical Inference in an Implicit, Nonlinear, Simultaneous Equation Model in the Context of Maximum Likelihood Estimation," Econometrica, 48(3), 697--720.

Gallant, A.R. (1987), Nonlinear Statistical Models, New York: John Wiley and Sons, Inc.

Gallant, A.R. and Jorgenson, D.W. (1979), "Statistical Inference for a System of Simultaneous, Nonlinear, Implicit Equations in the Context of Instrumental Variables Estimation," Journal of Econometrics, 11, 275--302.

Gill, Philip E., Murray, Walter, and Wright, Margaret H. (1981), "Practical Optimization," New York: Academic Press Inc.

Godfrey, L.G. (1978a), "Testing against General Autoregressive and Moving Average Error Models When the Regressors Include Lagged Dependent Variables," Econometrica, 46, 1293--1301.

Godfrey, L.G. (1978b), "Testing for Higher Order Serial Correlation in Regression Equations When the Regressors Include Lagged Dependent Variables," Econometrica, 46, 1303--1310.

Goodnight, J.H. (1979), "A Tutorial on the SWEEP Operator," The American Statistician, 33, 149--158.

Greene, William H. (1993), "Econometric Analysis," New Your: Macmillian Publishing Company Inc.

Gregory, A.W. and Veall, M.R. (1985), "On Formulating Wald Tests for Nonlinear Restrictions," Econometrica, 53, 1465--1468.

Grunfeld, Y. and Griliches, "Is Aggregation Necessarily Bad ?" Review of Economics and Statistics, February 1960, 113--134.

Hansen, L.P. (1982), "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, 50(4), 1029--1054.

Hansen, L.P. (1985),"A Method for Calculating Bounds on the Asymptotic Covariance Matrices of Generalized Method Of Moments Estimators," Journal of Econometrics, 30, 203--238.

Hatanaka, M. (1978),"On the Efficient Estimation Methods for the Macro-Economic Models Nonlinear in Variables," Journal of Econometrics, 8, 323--356.

Hausman, J. A. (1978), "Specification Tests in Econometrics," Econometrica, 46(6), 1251--1271.

Hausman, J.A. and Taylor, W.E. (1982), "A Generalized Specification Test," Economics Letters, 8, 239--245.

Henze, N. and Zirkler, B. (1990), "A Class of Invariant Consistant tests for Multivariate Normality," Commun. Statist. - Theory Meth., 19(10), 3595--3617.

Johnston, J. (1984), Econometric Methods, Third Edition, New York: McGraw-Hill Book Co.

Jorgenson, D.W. and Laffont, J. (1974), "Efficient Estimation of Nonlinear Simultaneous Equations With Additive Disturbances," Annals of Social and Economic Measurement, 3, 615--640.

Joy, C., P.P. Boyle, and K.S. Tan (1996), "Quasi-Monte Carlo Methods in Numerical Finance ", Management Science, 42(6), pg 926-938.

LaMotte, L.R. (1994), "A Note on the Role of Independence in t Statistics Constructed From Linear Statistics in Regression Models," The American Statistician, 48(3), 238--239.

Maddala, G.S. (1977), Econometrics, New York: McGraw-Hill Book Co.

Mardia, K. V. (1980), "Measures of Multivariate Skewness and Kurtosis with Applications," Biometrika 57(3), 519--529.

Mardia, K. V. (1974), "Applications of Some Measures of Multivariate Skewness and Kurtosis in Testing Normality and Robustness Studies," The Indian Journal of Statistics 36(B) pt. 2, 115--128.

Matis, J.H., Miller, T.H., and Allen, D.M. (1991), Metal Ecotoxicology Concepts and Applications, eds. M.C Newman and Alan W. McIntosh, Chelsea, MI; Lewis Publishers Inc.

Mikhail, W.M. (1975), "A Comparative Monte Carlo Study of the Properties of Economic Estimators," Journal of the American Statistical Association, 70, 94--104.

Miller, D.M. (1984), "Reducing Transformation Bias in Curve Fitting," The American Statistician, 38(2), 124--126.

Morelock, M.M., Pargellis, C.A., Graham, E.T., Lamarre, D., and Jung, G. (1995), "Time-Resolved Ligand Exchange Reactions: Kinetic Models for Competive Inhibitors with Recombinant Human Renin," Journal of Medical Chemistry, 38, 1751--1761.

Newey, W.K, and West, D. W. (1987),"A Simple, Positive Semi-Definite, Heteroscedasticity and Autocorrelation Consistent Covariance Matrix," Econometrica, 55, 703--708.

Noble, B. and Daniel, J.W. (1977), Applied Linear Algebra, Englewood Cliffs, NJ: Prentice-Hall.

Ortega, J. M. and Rheinbolt, W.C. (1970), "Iterative Solution of Nonlinear Equations in Several Variables," Academic Press.

Parzen, E. (1957),"On Consistent Estimates of the Spectrum of a Stationary Time Series," Annals of Mathematical Statistics, 28, 329--348.

Pearlman, J. G. (1980), "An Algorithm for Exact Likelihood of a High-Order Autoregressive-Moving Average Process," Biometrika, 67(1), 232--233.

Petzold, L.R. (1982), "Differential/Algebraic Equations Are Not ODEs," Siam J. Sci. Stat. Comput., 3, 367--384.

Phillips, C.B. and Park, J.Y. (1988), "On Formulating Wald Tests of Nonlinear Restrictions," Econometrica, 56, 1065--1083.

Pindyck, R.S. and Rubinfeld, D.L. (1981), Econometric Models and Economic Forecasts, Second Edition, New York: McGraw-Hill Book Co.

Savin, N.E. and White, K.J. (1978), "Testing for Autocorrelation with Missing Observations," Econometrics, 46, 59--67.

Sobol', Ilya M., A Primer for the Monte Carlo Method, CRC Press, 1994.

Srivastava, Virendra and Giles, David E. A., (1987), "Seemingly Unrelated Regression Equation Models," New York: Marcel Dekker, Inc.

Theil, H. (1971), Principles of Econometrics, New York: John Wiley & Sons, Inc.

Thursby, J., (1982), "Misspecification, Heteroscedasticity, and the Chow and Goldfield-Quandt Test," Review of Economics and Statistics, 64, 314--321.

Venzon, D.J. and Moolgavkar, S.H. (1988), "A Method for Computing Profile-Likelihood Based Confidence Intervals," Applied Statistics, 37, 87--94.

White, Halbert, (1980), "A Heteroskedasticity-Consistant Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, 48(4), 817--838.

Wu, D. M. (July 1973), "Alternative Tests of Independence Between Stochastic Regressors and Disturbances," Econometrica , 41(4), 733--750.

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