We propose a new time-varying Generalized Dynamic Factor Model for high-dimensional, locally stationary time series. Estimation is based on dynamic principal component analysis jointly with singular VAR estimation, and extends to the case one-sided estimation method proposed by Forni et al. (2017) data. prove consistency of our estimators impulse response functions as both sample size T dimensi...

The utility of a match in two-sided matching market often depends on variety characteristics the two agents (e.g., buyer and seller) to be matched. In contrast literature, this may best modeled by general distribution. “Asymptotically Optimal Control Centralized Dynamic Matching Market with General Utilities,” Blanchet, Reiman, Shah, Wein, Wu consider utilities context centralized dynamic marke...