This paper reports the results of a series of Monte Carlo exercises to contrast the forecasting performance of several panel data esti- mators, divided into three main groups (homogeneous, heterogeneous and shrinkage/Bayesian). The comparison is done using di¤erent lev- els of heterogeneity,...

This paper develops a novel asymptotic theory for panel models with common shocks. We assume that contemporaneous correlation can be generated by both the presence of common regressors among units and weak spatial dependence among the error terms. Several characteristics of the panel are...

In this paper, we propose an estimation and testing framework for parameter instability in cointe- grated panel regressions with common and idiosyncratic trends. We develop tests for structural change for the slope parameters under the null hypothesis of no structural break against the...

This paper considers bootstrapping nonstationary panel factor mod- els when possible time dependence is present in the factors dynamics. The analysis does not assume any speci.c DGP, and a sieve bootstrap algorithm is proposed to approximate the autocorrelation structure of the processes...

We consider the issue of cross-sectional aggregation in nonstationary and heterogeneous panels where each unit cointegrates. We derive asymptotic properties of the aggregate estimate, and necessary and su¢ cient conditions for cointegration to hold in the aggregate relationship. We then analyze...

In this paper, we provide a coherent theoretical investigation of the relationship between cross-section and time series measures of uncer- tainty, which are often employed as perfect substitutes in empirical applica- tions. The main .nding of our analysis is that there exists an ambiguous sign...