This paper proposes a test for detecting out-of-sample structural change in factor-augmented regression (FAR) models, as a complement to the in-sample structural stability tests developed in recent literature. In a set-up with a large number, N, of time series whereby each has some predictive...

This study quantifies the uneven welfare gains from trade between firm owners and workers in a multi-country model of monopolistic competition under a demand system of constant elasticity of substitution (CES). An agent decides to start up her own firm or to be employed as a worker according to...

This paper considers model averaging in spectral density estimation. We construct the spectral density function by averaging the autoregressive coefficients from all potential autoregressive models and investigate the autoregressive spectral averaging estimator using weights that minimize the...

As vividly demonstrated in Maddala (1983), limited and qualitative dependent variables are often encountered in modern econometric analysis. However, analytical methods for evaluating technical efficiency of stochastic frontier analysis can only be applied to continuous dependent variable. This...

This research suggests an easy-to-implement forecast combination procedure to deal with the model uncertainty issues when evaluating the cartel damages. We combine the Mallows model averaging (MMA) method with both the dummy variable (DV) and forecasting approaches to investigate the famous...

This paper considers the maximum likelihood estimation of a stochastic frontier production function with an interval outcome. We derive an analytical formula for calculating the likelihood function of the interval stochastic frontier models. Monte Carlo experiments reveal that the finite sample...