This paper proposes a new likelihood-based panel cointegration rank test which extends the test of Örsal & Droge (2012 …) (henceforth Panel SL test) to allow for cross-sectional dependence. The dependence is modelled by unobserved common factors which … panel analysis of nonstationarity in idiosyncratic and common components (PANIC) approach of Bai & Ng (2004) and the …

panel Granger causality analysis based on annual data for 8 transition countries, covering the period 1995-2011. The main …

three representative models: spatial cross-sectional, static or dynamic panel models. Monte Carlo results show that the …

Present paper considers structural break in panel AR(1) model which allows instability in mean, variance and … existing panel data time series model considering break studied by Levin et al. (2002), Pesaran (2004), Bai (2010), Liu et al …

This paper argues that cross-sectional dependence (CSD) is an indicator of misspecification in panel quantile … regression (QR) rather than just a nuisance that may be accounted for with panel-robust standard errors. This motivates the … development of a novel test for panel QR misspecification based on detecting CSD. The test possesses a standard normal limiting …

Panel or grouped data are often used to allow for unobserved individual heterogeneity in econometric models via fixed … effects. In this paper, we discuss identification of a panel data model in which the unobserved heterogeneity both enters …

; Panel data …

This paper proposes maximum likelihood estimators for panel seemingly unrelated regressions with both spatial lag and … spatial lag dependent variable and where the heterogeneity in the panel is incorporated via an error component specification … spatial autocorrelation and random effects for this spatial SUR panel model. The small sample performance of the proposed …

risks. With a slight reformulation of the loss function and a standard factor decomposition of a panel of forecasts, we show …