of world output. The forecasts are compared to typical benchmarks: univariate autoregressive and random walk models … outcomes by pooling forecasts obtained from different GVAR models estimated over alternative sample periods. Given the size of … countries- as well as the very real likelihood of multiple structural breaks, averaging forecasts across both models and windows …

. The forecasts are compared to typical benchmarks: univariate autoregressive and random walk models. Building on the … forecasts obtained from different GVAR models estimated over alternative sample periods. Given the size of the modeling problem … very real likelihood of possibly multiple structural breaks, averaging forecasts across both models and windows makes a …

of world output. The forecasts are compared to typical benchmarks: univariate autoregressive and random walk models … outcomes by pooling forecasts obtained from different GVAR models estimated over alternative sample periods. Given the size of … countries— as well as the very real likelihood of multiple structural breaks, averaging forecasts across both models and windows …

. The forecasts are compared to typical benchmarks: univariate autoregressive and random walk models. Building on the … forecasts obtained from different GVAR models estimated over alternative sample periods. Given the size of the modeling problem … well as the very real likelihood of possibly multiple structural breaks, averaging forecasts across both models and windows …

This paper extends the analysis of infinite dimensional vector autoregressive models (IVAR) proposed in Chudik and …

IVAR) can be arbitrarily well characterized by a large number of finite-dimensional models in the spirit of the global VAR … model proposed in Pesaran et al. (JBES, 2004). The paper also considers IVAR models with dominant individual units and shows …

This paper considers the problems facing decision makers using econometric models in real time. It identifies the key …