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This paper analyzes the forecasting performance of an open economy DSGE model, estimated with Bayesian methods, for the … forecasting models such as vector autoregressions (VAR) and vector error correction models (VECM), estimated both by maximum …-dimensional summaries, e.g. the log determinant statistic, as measures of overall forecasting performance. …
Persistent link: https://www.econbiz.de/10011584035
cointegration with the Joint Radiative Forcing (JRF) of the drivers of climate change. Under a ‘no change’ scenario, the most … evidence suggests that previous cointegration-based studies of climate change suffer from model mis-specification. …
Persistent link: https://www.econbiz.de/10014303938
Vector autoregressions have steadily gained in popularity since their introduction in econometrics 25 years ago. A drawback of the otherwise fairly well developed methodology is the inability to incorporate prior beliefs regarding the system's steady state in a satisfactory way. Such prior...
Persistent link: https://www.econbiz.de/10011585058
Persistent link: https://www.econbiz.de/10010359435
This paper investigates the effects of public investment in infrastructure on private output for Germany. Using a multivariate framework we explore the impact of a diverging selection of variables on the ensuing estimates and document confidence intervals computed following the bootstrap...
Persistent link: https://www.econbiz.de/10010532083
Persistent link: https://www.econbiz.de/10014248988
This paper analyzes the forecasting performance of an open economy DSGE model, estimated with Bayesian methods, for the … forecasting models such as vector autoregressions (VAR) and vector error correction models (VECM), estimated both by maximum …-dimensional summaries, e.g. the log determinant statistic, as measures of overall forecasting performance. …
Persistent link: https://www.econbiz.de/10010321290
excluding the high inflation episode. Consequently, we also conducted an out-of-sample forecasting exercise. The VECM yields the … best results forecasting up to three months ahead, while thereafter, the FAVAR, which includes more economic information …
Persistent link: https://www.econbiz.de/10012194833
This paper is concerned with the study of Bayesian inference procedures to commonly used time series models. In particular, the dynamic or state-space models, the time-varying vector autoregressive model and the structural vector autoregressive model are considered in detail. Inference...
Persistent link: https://www.econbiz.de/10012018632
This paper describes the inference procedures required to perform Bayesian inference to some multivariate econometric models. These models have a spatial component built into commonly used multivariate models. In particular, the seemingly unrelated regression and vector autoregressive models are...
Persistent link: https://www.econbiz.de/10012019328