DPB: Dynamic Panel Binary Data Models in gretl

This paper presents the gretl function package DPB for estimating dynamic binary models with panel data. The package contains routines for the estimation of the randomeffects dynamic probit model proposed by Heckman (1981b) and its generalisation by Hyslop (1999) and Keane and Sauer (2009) to accommodate AR(1) disturbances. The fixed-effects estimator by Bartolucci and Nigro (2010) is also implemented. DPB is available on the gretl function packages archive.

[1]  Ivan Fernandez-Val,et al.  Fixed effects estimation of structural parameters and marginal effects in panel probit models , 2007 .

[2]  J. Heckman Heterogeneity and State Dependence , 1981 .

[3]  Gary Chamberlain,et al.  Longitudinal Analysis of Labor Market Data: Heterogeneity, omitted variable bias, and duration dependence , 1985 .

[4]  S. Rabe-Hesketh,et al.  Reliable Estimation of Generalized Linear Mixed Models using Adaptive Quadrature , 2002 .

[5]  M. Stewart The Inter-related Dynamics of Unemployment and Low-wage Employment , 2007 .

[6]  Mark B. Stewart,et al.  Maximum Simulated Likelihood Estimation of Random-Effects Dynamic Probit Models with Autocorrelated Errors , 2006 .

[7]  Alpaslan Akay,et al.  Finite‐sample comparison of alternative methods for estimating dynamic panel data models , 2012 .

[8]  Raquel Carrasco,et al.  Binary Choice With Binary Endogenous Regressors in Panel Data , 2001 .

[9]  J. Nocedal,et al.  A Limited Memory Algorithm for Bound Constrained Optimization , 1995, SIAM J. Sci. Comput..

[10]  Gary Chamberlain,et al.  Analysis of Covariance with Qualitative Data , 1979 .

[11]  T. Halliday Heterogeneity, State Dependence and Health , 2008, SSRN Electronic Journal.

[12]  Chris D. Orme,et al.  Two-Step Inference in Dynamic Non-Linear Panel Data Models , 2001 .

[13]  Francesco Bartolucci,et al.  A Dynamic Model for Binary Panel Data With Unobserved Heterogeneity Admitting a √n‐Consistent Conditional Estimator , 2007 .

[14]  Jesus M. Carro Estimating Dynamic Panel Data Discrete Choice Models with Fixed Effects , 2003 .

[15]  Wiji Arulampalam,et al.  Simplified Implementation of the Heckman Estimator of the Dynamic Probit Model and a Comparison with Alternative Estimators , 2007, SSRN Electronic Journal.

[16]  J. Kadane Structural Analysis of Discrete Data with Econometric Applications , 1984 .

[17]  Stephen P. Jenkins,et al.  Modelling low income transitions , 2002 .

[18]  Makoto Matsumoto,et al.  SIMD-Oriented Fast Mersenne Twister: a 128-bit Pseudorandom Number Generator , 2008 .

[19]  D. McFadden,et al.  The method of simulated scores for the estimation of LDV models , 1998 .

[20]  Jinyong Hahn,et al.  JACKKNIFE AND ANALYTICAL BIAS REDUCTION FOR NONLINEAR PANEL MODELS , 2003 .

[21]  Robert A. Moffitt,et al.  A COMPUTATIONALLY EFFICIENT QUADRATURE PROCEDURE FOR THE ONE-FACTOR MULTINOMIAL PROBIT MODEL , 1982 .

[22]  Jinyong Hahn,et al.  BIAS REDUCTION FOR DYNAMIC NONLINEAR PANEL MODELS WITH FIXED EFFECTS , 2011, Econometric Theory.

[23]  A. Zazzaro,et al.  State dependence in access to credit , 2016 .

[24]  Malcolm C. Pike,et al.  Algorithm AS 196: Conditional Multivariate Logistic Analysis of Stratified Case-Control Studies , 1984 .

[25]  D. Hyslop,et al.  State dependence, serial correlation and heterogeneity in intertemporal labor force , 1999 .

[26]  Elena Giarda Persistency of financial distress amongst Italian households: Evidence from dynamic models for binary panel data , 2013 .

[27]  FRANCESCO BARTOLUCCI,et al.  SUPPLEMENT TO “A DYNAMIC MODEL FOR BINARY PANEL DATA WITH UNOBSERVED HETEROGENEITY ADMITTING , 2010 .

[28]  Martin Biewen,et al.  Measuring state dependence in individual poverty histories when there is feedback to employment status and household composition , 2009 .

[29]  R. Riphahn,et al.  The dynamics of welfare entry and exit amongst natives and immigrants , 2014 .

[30]  Robert M. Sauer,et al.  Classification Error in Dynamic Discrete Choice Models: Implications for Female Labor Supply Behavior , 2006 .

[31]  Giulia Bettin,et al.  Intertemporal Remittance Behaviour by Immigrants in Germany , 2012 .

[32]  A. Genz Numerical Computation of Multivariate Normal Probabilities , 1992 .

[33]  Jesus M. Carro,et al.  State dependence and heterogeneity in health using a bias corrected fixed effects estimator. , 2014 .

[34]  A. Soest,et al.  Ownership of Stocks and Mutual Funds: A Panel Data Analysis , 2004, Review of Economics and Statistics.

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

[36]  W. Arulampalam State Dependence in Unemployment Incidence: Evidence for British Men Revisited , 2002, SSRN Electronic Journal.

[37]  Bo E. Honoré,et al.  Panel Data Discrete Choice Models with Lagged Dependent Variables , 2000 .

[38]  Pulak Ghosh,et al.  The Existence and Persistence of Household Financial Hardship , 2014 .

[39]  J. Heckman,et al.  Does Unemployment Cause Future Unemployment? Definitions, Questions and Answers from a Continuous Time Model of Heterogeneity and State Dependence. , 1980 .

[40]  Florian Heiss Dynamics of self-rated health and selective mortality , 2011, Empirical economics.

[41]  Alessandra Salvan,et al.  Modified Profile Likelihood for Fixed-Effects Panel Data Models , 2016 .

[42]  Nigel Rice,et al.  Simulation-based inference in dynamic panel probit models: An application to health , 2004 .

[43]  J. Geweke,et al.  Bayesian Inference in Econometric Models Using Monte Carlo Integration , 1989 .

[44]  Y. Mundlak On the Pooling of Time Series and Cross Section Data , 1978 .

[45]  Jesus M. Carro,et al.  Estimation of Dynamic Nonlinear Random Effects Models with Unbalanced Panels , 2019, Oxford Bulletin of Economics and Statistics.

[46]  Jeffrey M. Wooldridge,et al.  The Initial Conditions Problem in Dynamic, Nonlinear Panel Data Models with Unobserved Heterogeneity , 2002 .