Since little is known about the degree of bias in estimated fixed effects in panel data models, we run Monte Carlo … simulations on a range of different estimators. We find that Anderson-Hsiao IV, Kiviet's bias-corrected LSDV and GMM estimators …

and their productivity. Recent work suggests that these calculations should treat workers of different skill levels as … imperfect substitutes. However, under this approach, it has been challenging to compute skill-specific productivity levels for a … data set on labor force composition to construct measures of productivity for workers in three distinct skill categories …

In recent decades, the ASEAN economies have implemented a number of regional integration policies. Using a panel … dataset of 10 ASEAN countries from 1980 to 2017, this study examines the productivity and efficiency of the ASEAN economies … productivity index to provide estimates of gross technical efficiency, technical progress and returns to scale change, while taking …

Pseudo-panels allow estimation of panel models when only repeated cross-sections are available. This involves grouping … bias. We show that grouping can also create substantial aggregation bias, calling into question how well pseudo-panels can … mimic panel estimates. We create two metrics for assessing the grouping process, one for each potential source of bias. If …

decompositions, simulations and counter-factual analyses are performed. We find that, although total factor productivity has a … present- for different reasons. Even after correcting for productivity differences, some nations remain poor mostly because of …

. We consider fixed effect estimation of nonlinear panel single-index models with factor structures in the unobservables …Factor structures or interactive effects are convenient devices to incorporate latent variables in panel data models … parameters and average partial effects have normal distributions when the two dimensions of the panel grow large, but might …

. We consider fixed effect estimation of nonlinear panel single-index models with factor structures in the unobservables …Factor structures or interactive effects are convenient devices to incorporate latent variables in panel data models … parameters and average partial effects have normal distributions when the two dimensions of the panel grow large, but might …

importance of these two mechanisms in Asian development based on a unified framework. Using canonical cross-economy panel data …