This paper proposes a quantile regression estimator for a heterogeneous panel model with lagged dependent variables and … the time series dimension of the panel is large. We present an application to the evaluation of Time-of-Use pricing using …

We develop novel forecasting methods for panel data with heterogeneous parameters and examine them together with …-sectional (N) and time (T) dimensions and varying degrees of parameter heterogeneity. We investigate conditions under which panel …

The paper explores the effect of measurement errors on the estimation of a linear panel data model. The conventional … fixed effects estimator, which ignores measurement errors, is biased. By correcting for the bias one can construct …

We examine partisan bias in inflation expectations. Our dataset includes inflation expectations of the New York Fed … based on how partisans respond to changes in the White House's occupant (partisan bias). The results also corroborate the …

Evidence from hypothetical scenarios strongly suggests the existence of a sunk cost bias, the tendency to ‘throw good … psychological channels underlying such a bias is scarce. We present a laboratory experiment designed to investigate the sunk cost … bias and to test some prominent psychological mechanisms. Inspired by the hypothetical scenarios, we use a two …

European countries for more than a decade, we estimate time-varying individual level bias in ‘survival expectations' (BSE) at …

shows that the standard CD test remains valid if the latent factors are weak, and proposes a simple bias-corrected CD test … result is shown to hold for pure latent factor models as well as for panel regressions with latent factors. Small sample …

this paper, we present a generalized panel model which accounts for two features: (i) three types of network effects on the …