We consider a linear panel event-study design in which unobserved confounds may be related both to the outcome and to … leads to pre-event trends ("pre-trends") in the outcome. Alternative approaches, such as estimation following a test for pre …

We propose a generalization of the linear quantile regression model to accommodate possibilities afforded by panel data …; Section 2.6). We show that panel data allows the econometrician to (i) introduce dependence between the regressors and the … (NLSY79). Consistent with prior work (e.g., Chamberlain, 1982; Vella and Verbeek, 1998), we find that using panel data to …

proposed by Papke and Wooldridge, 1996, 2008, in univariate cross-sectional and panel contexts. The paper discusses the … econometric strategies for share model estimation. The paper then goes on to discuss the univariate fractional regression … estimation strategies proposed by Papke and Wooldridge and to extend the fractional regression approach to estimation of and …

addressed much more directly given the recent availability of panel data featuring repeated observation over extended periods of …

This paper investigates the impact of stock markets and banks on economic growth using a panel data set for the period …

We use dynamic panel data models to generate density forecasts for daily Covid-19 infections for a panel of countries … level. Weekly forecasts from our model are published at https://laurayuliu.com/covid19-panel-forecast …

We revisit time-variation in the Phillips curve, applying new Bayesian panel methods with breakpoints to US and …