Edgeworth Approximation for MINPIN Estimators in Semiparametric Regression Models

We examine the higher order asymptotic properties of semiparametric regression estimators that were obtained by the general MINPIN method described in Andrews (1989, Semiparametric Econometric Models: I. Estimation, Discussion paper 908, Cowles Foundation). We derive an order n−1 stochastic expansion and give a theorem justifying order n−1 distributional approximation of the Edgeworth type.

[1]  Oliver Linton,et al.  SECOND ORDER APPROXIMATION IN THE PARTIALLY LINEAR REGRESSION MODEL , 1995 .

[2]  Oliver Linton,et al.  Adaptive Estimation in ARCH Models , 1993, Econometric Theory.

[3]  Stefun D. Leigh U-Statistics Theory and Practice , 1992 .

[4]  P. Robinson,et al.  AUTOMATIC FREQUENCY DOMAIN INFERENCE ON SEMIPARAMETRIC AND NONPARAMETRIC MODELS , 1991 .

[5]  Andrew Chesher,et al.  Asymptotic expansions of the informa-tion matrix test statistic , 1991 .

[6]  P. Robinson,et al.  Best nonlinear three-stage least squares estimation of certain econometric models , 1991 .

[7]  D. Andrews Asymptotic Normality of Series Estimators for Nonparametric and Semiparametric Regression Models , 1991 .

[8]  Thomas Mikosch,et al.  Functional limit theorems for random quadratic forms , 1991 .

[9]  W. Newey,et al.  Semiparametric Efficiency Bounds , 1990 .

[10]  Thomas M. Stoker,et al.  Semiparametric Estimation of Index Coefficients , 1989 .

[11]  J. Stock Nonparametric Policy Analysis , 1989 .

[12]  Raymond J. Carroll,et al.  Variance Function Estimation in Regression: the Effect of Estimating the Mean , 1988 .

[13]  P. Robinson ROOT-N-CONSISTENT SEMIPARAMETRIC REGRESSION , 1988 .

[14]  Whitney K. Newey,et al.  Adaptive estimation of regression models via moment restrictions , 1988 .

[15]  P. Robinson,et al.  The stochastic difference between econometric statistics , 1988 .

[16]  Hung Chen,et al.  Convergence Rates for Parametric Components in a Partly Linear Model , 1988 .

[17]  F. Götze Approximations for multivariate U —statistics , 1987 .

[18]  P. McCullagh Tensor Methods in Statistics , 1987 .

[19]  P. Robinson Asymptotically efficient estimation in the presence of heteroskedasticity of unknown form , 1987 .

[20]  Charles F. Manski,et al.  Monte Carlo evidence on adaptive maximum likelihood estimation of a regression , 1987 .

[21]  F. Götze,et al.  The Edgeworth Expansion for $U$-Statistics of Degree Two , 1986 .

[22]  Anne Lohrli Chapman and Hall , 1985 .

[23]  Thomas J. Rothenberg,et al.  APPROXIMATE NORMALITY OF GENERALIZED LEAST SQUARES ESTIMATES , 1984 .

[24]  R. Hogg,et al.  On adaptive estimation , 1984 .

[25]  Raymond J. Carroll,et al.  Adapting for Heteroscedasticity in Linear Models , 1982 .

[26]  H. Callaert,et al.  An Edgeworth Expansion for $U$-Statistics , 1980 .

[27]  P. R. Krishnaiah,et al.  Developments in Statistics , 1979 .

[28]  J. Ghosh,et al.  ON THE VALIDITY OF THE FORMAL EDGEWORTH EXPANSION , 1978 .

[29]  P. Phillips A General Theorem in the Theory of Asymptotic Expansions as Approximations to the Finite Sample Distributions of Econometric Estimators , 1977 .

[30]  P. Phillips An approximation to the finite sample distribution of Zellner's seemingly unrelated regression estimator , 1977 .

[31]  Peter C. B. Phillips,et al.  Approximations to Some Finite Sample Distributions Associated with a First-Order Stochastic Difference Equation , 1977 .

[32]  J. D. Sargan,et al.  Econometric Estimators and the Edgeworth Approximation , 1976 .

[33]  R. Rao,et al.  Normal Approximation and Asymptotic Expansions , 1976 .

[34]  J. Pfanzagl Asymptotic Expansions Related to Minimum Contrast Estimators , 1973 .

[35]  F. Peracchi,et al.  Applied Nonparametric Methods , 2012 .

[36]  W. Härdle Applied Nonparametric Regression , 1992 .

[37]  Thomas M. Stoker Smoothing bias in derivative estimation , 1990 .

[38]  P. Robinson Semiparametric econometrics: A survey , 1988 .

[39]  H. Müller Nonparametric regression analysis of longitudinal data , 1988 .

[40]  Thomas J. Rothenberg,et al.  Approximating the distributions of econometric estimators and test statistics , 1984 .

[41]  Charles F. Manski,et al.  Adaptive estimation of non–linear regression models , 1984 .

[42]  J. Pfanzagl,et al.  Asymptotic Expansions in Parametric Statistical Theory , 1980 .