This paper proposes a robust method for semiparametric identification and estimation in panel multinomial choice models, where we allow for infinite-dimensional fixed effects that enter into consumer utilities in an additively nonseparable way, thus incorporating rich forms of unobserved...

In empirical regression analysis, the existence of high multicollinearity suggests that predictors may provide redundant information and cause a reduction in statistics power. Meanwhile, dropping correlated variables may result in mis-specified models with biased parameters. Unlike previous...

For panel data models including time-invariant variables, this paper proposes a new Hausman pretest estimator of the internal instruments of Hausman-Taylor estimator. It assumes Mundlak and Krishnakumar linear specification for the endogeneity of random individual effects. Furthermore, the paper...

We use a quasi-likelihood function approach to clarify the role of initial values and the relative sample size of the cross-section dimension N and the time series dimension T on the asymptotic properties of estimators for dynamic panel data models with the presence of individual-specific...

This note discusses the pros and cons of using the conditional mean approach of Mundlak (1978) and Chamberlain (1980) and the linear difference approach to deal with the incidental parameters issue in estimating fixed effects dynamic panel data models. The importance of the data generating...

En este trabajo se determina el potencial de valorización del metro cuadrado de suelo (metro cuadrado del lote) de los barrios de la ciudad de Barranquilla (Colombia), a partir de datos mensuales para el periodo comprendido entre 2001 y 2011. Se utiliza información de avalúos inmobiliarios,...

This paper proposes the Fixed Effects Filtered (FEF) and Fixed Effects Filtered instrumental variable (FEF-IV) estimators for estimation and inference in the case of time-invariant effects in static panel data models when N is large and T is fixed. It is shown that the FEF and FEF-IV estimators...

This paper studies estimation of linear panel regression models with heterogeneous coefficients, when both the regressors and the residual contain a possibly common, latent, factor structure. Our theory is (nearly) efficient, because based on the GLS principle, and also robust to the...

The objective of this study was to shed new light on the non-linear effects of inflation and the inflation thresholds for long-term growth in Africa. Using a dynamic panel threshold model, the study covered a large panel-data set of 41 African countries for the period 1960-2015. The sample was...

Using the models in Wooldridge (1999), We compare three main estimation methods for positive response variable-- FE method for log linear model (LFE), Poisson Quasi-Maximum Likelihood (PQML) and Generalized Method of Moment (GMM) -- by Mont Carlo Simulation and real life data set. It is not...