Estimation of a Duration Model in the Presence of Missing Data

This paper utilizes recent simulation techniques in a two-stage estimation method which is applicable for a wide range of statistical models in the presence of missing data. The first stage of the method provides a way to estimate (and simulate from) the joint distribution of missing variables when the missing variables are continuous, binary, or ordered discrete. The second stage uses the first-stage estimates to integrate out the effects of the missing variables and obtain model estimates. The implementation of the method in this paper allows theoretically important, partially missing wage and school characteristic variables-which are not necessarily independently determined-to be included in a proportional hazard model of teacher attrition.

[1]  J. Heckman,et al.  A Method for Minimizing the Impact of Distributional Assumptions in Econometric Models for Duration Data , 1984 .

[2]  Roderick J. A. Little.  Regression with Missing X's: A Review , 1992 .

[3]  Todd R. Stinebrickner.  An Empirical Investigation of Teacher Attrition. , 1998 .

[4]  Petra E. Todd,et al.  A Test Of Lazear’S Mandatory Retirement Model , 2000 .

[5]  Bruce D. Meyer.  Unemployment Insurance and Unemployment Spells , 1988 .

[6]  D. Rees,et al.  THE INFLUENCE OF CLASSROOM CHARACTERISTICS ON HIGH SCHOOL TEACHER TURNOVER , 1996 .

[7]  Bengt Muthén,et al.  On structural equation modeling with data that are not missing completely at random , 1987 .

[8]  Wai-Yin Poon,et al.  Maximum likelihood estimation of multivariate polyserial and polychoric correlation coefficients , 1988 .

[9]  Eric A. Hanushek,et al.  The Economics of Schooling: Production and Efficiency in Public Schools , 1986 .

[10]  Todd R. Stinebrickner,et al.  The Relationship Between Family Income and Schooling Attainment: Evidence from a Liberal Arts College with a Full Tuition Subsidy Program , 2000 .

[11]  R. Murnane,et al.  The Effects of Salaries and Opportunity Costs on Length of Stay in Teaching: Evidence from North Carolina. , 1990 .

[12]  D. Brewer.  Career Paths and Quit Decisions: Evidence from Teaching , 1996, Journal of Labor Economics.

[13]  Neil D. Theobald.  An examination of the influence of personal, professional, and school district characteristics on public school teacher retention , 1990 .

[14]  Todd R. Stinebrickner.  Serially correlated variables in dynamic, discrete choice models , 2000 .

[15]  M Van Guilder,et al.  Estimation of parameters and missing values under a regression model with non-normally distributed and non-randomly incomplete data. , 1989, Statistics in medicine.

[16]  Ronald G. Ehrenberg,et al.  Does class size matter? , 2001, Scientific American.

[17]  Kevin M. Murphy,et al.  Estimation and Inference in Two-Step Econometric Models , 1985 .

[18]  R. Little.  Robust Estimation of the Mean and Covariance Matrix from Data with Missing Values , 1988 .

[19]  Karen Akerhielm,et al.  Does class size matter , 1995 .

[20]  Michael Keane,et al.  A Computationally Practical Simulation Estimator for Panel Data , 1994 .

[21]  W. V. D. Klaauw,et al.  The Turnover of UK Teachers: A Competing Risks Analysis , 1994 .

[22]  R. M. Gritz,et al.  The Effects of School District Spending Priorities on Length of Stay in Teaching , 1996 .

[23]  Peter Dolton,et al.  Leaving Teaching in the UK: A Duration Analysis , 1995 .

[24]  Richard J. Murnane,et al.  The Influences of Salaries and "Opportunity Costs" on Teachers' Career Choices: Evidence from North Carolina , 1989 .

[25]  R. M. Gritz,et al.  The effects of school district spending priorities on the exit paths of beginning teachers leaving the district , 1996 .

[26]  V. Hajivassiliou,et al.  Smooth unbiased multivariate probability simulators for maximum likelihood estimation of limited dependent variable models , 1993 .