Analysis of interactive fixed effects dynamic linear panel regression with measurement error

Dynamic Linear Panel Regression Models with Interactive Fixed Effects

In the last step we used Assumption ID(ii). Because E [ Tr (e′e) ∣∣∣λ0, f , w] is independent of β, λ, f , we find minimizing Q(β, λ, f) is equivalent to minimizing Q∗(β, λ, f). We decompose ‡Department of Economics and USC Dornsife INET, University of Southern California, Los Angeles, CA 90089-0253. Email: [email protected]. Department of Economics, Yonsei University, Seoul, Korea. §Department of ...

Supplementary Material Linear Regression for Panel with Unknown Number of Factors as Interactive Fixed Effects

Quantile Regression for Dynamic Panel Data with Fixed Effects

This paper studies estimation and inference in a quantile regression dynamic panel model with fixed effects. Panel data fixed effects estimators are typically biased in the presence of lagged dependent variables as regressors. To reduce the dynamic bias in the quantile regression fixed effects estimator I suggest the use of the instrumental variables quantile regression method of Chernozhukov a...

Consistent Estimation of Linear Panel Data Models with Measurement Error

Measurement error causes a downward bias when estimating a panel data linear regression model. The panel data context offers various opportunities to derive moment conditions that result in consistent GMM estimators. We consider three sources of moment conditions: (i) restrictions on the intertemporal covariance matrix of the errors in the equations, (ii) heteroskedasticity and nonlinearity in ...

Linear Regression for Dependently Censored Panel Duration Models with Nonadditive Fixed Effects

This paper proposes estimators for a class of panel duration models with induced dependent censoring and fixed effects which may appear nonadditively in the model. No parametric assumptions are made about the distribution of the random error. The dependent censoring implies that the usual differencing approach common in fixed-effects models will lead to disproportionate weighting of the errors,...