This paper studies the spatial random effects and spatial fixed effects model. The model includes a Cliff and Ord type spatial lag of the dependent variable as well as a spatially lagged one-way error component structure, accounting for both heterogeneity and spatial correlation across units. We...

I consider a panel vector-autoregressive model with cross-sectional dependence of the disturbances characterized by a spatial autoregressive process. I propose a three-step estimation procedure. Its first step is an instrumental variable estimation that ignores the spatial correlation. In the...

This paper analyzes econometric models of the Davis, Haltiwanger and Schuh (1996) job creation rate. In line with the most recent job creation literature, we focus on employment-weighted OLS estimation. Our main theoretical result reveals that employment-weighted OLS estimation of DHS job...

This paper replicates the estimates of a fractional response model for share data reported in the seminal paper of Leslie E. Papke and Jeffrey M. Wooldridge published in the Journal of Applied Econometrics 11(6), 1996, pp.619-632. We have been able to replicate all of the reported estimation...

This paper shows that applying simple employment-weighted OLS estimation to Davis - Haltiwanger - Schuh (1996) firm level job creation rates taking the values 2 and -2 for entering and exiting firms, respectively, provides biased and inconsistent parameter estimates. Consequently, we argue that...

This paper analyzes econometric models of the Davis, Haltiwanger and Schuh (1996) job creation rate. In line with the most recent job creation literature, we focus on employment-weighted OLS estimation. Our main theoretical result reveals that employment-weighted OLS estimation of DHS job...

This paper shows that applying simple employment-weighted OLS estimation to Davis – Haltiwanger – Schuh (1996) firm level job creation rates taking the values 2 and –2 for entering and exiting firms, respectively, provides biased and inconsistent parameter estimates. Consequently, we argue...