Showing 1 - 10 of 9,437
This paper makes the following original contributions to the literature. (1) We develop a simpler analytical characterization and numerical algorithm for Bayesian inference in structural vector autoregressions that can be used for models that are overidentified, just-identified, or...
Persistent link: https://www.econbiz.de/10012457925
Forecasts of the rate of price inflation play a central role in the formulation of monetary policy, and forecasting … inflation is a key job for economists at the Federal Reserve Board. This paper examines whether this job has become harder and …, to the extent that it has, what changes in the inflation process have made it so. The main finding is that the univariate …
Persistent link: https://www.econbiz.de/10012466341
This paper examines the robustness of explanatory variables in cross-country economic growth regressions. It employs a novel approach, Bayesian Averaging of Classical Estimates (BACE), which constructs estimates as a weighted average of OLS estimates for every possible combination of included...
Persistent link: https://www.econbiz.de/10012471000
We consider the problem of short-term time series forecasting (nowcasting) when there are more possible predictors than observations. Our approach combines three Bayesian techniques: Kalman filtering, spike-and-slab regression, and model averaging. We illustrate this approach using search engine...
Persistent link: https://www.econbiz.de/10012459094
and forecasting. Building on the theory of continuous-time arbitrage-free price processes and the theory of quadratic … volatility forecast, coupled with a parametric lognormal-normal mixture distribution implied by the theoretically and empirically …
Persistent link: https://www.econbiz.de/10012470566
This paper studies the asymptotic relationship between Bayesian model averaging and post-selection frequentist predictors in both nested and nonnested models. We derive conditions under which their difference is of a smaller order of magnitude than the inverse of the square root of the sample...
Persistent link: https://www.econbiz.de/10012464362
approximating strict inflation-forecast targeting are likely to have undesirable properties. We also show that economies with more …Proposals for 'inflation targeting' as a strategy for monetary policy leave open the important operational question of … how to determine whether current policies are consistent with the long-run inflation target. An interesting possibility is …
Persistent link: https://www.econbiz.de/10012472657
advances in the estimation and evaluation of DSGE models, discusses current challenges, and provides avenues for future …
Persistent link: https://www.econbiz.de/10012461876
Sparse models, though long preferred and pursued by social scientists, can be ineffective or unstable relative to large models, for example, in economic predictions (Giannone et al., 2021). To achieve sparsity for economic interpretation while exploiting big data for superior empirical...
Persistent link: https://www.econbiz.de/10014322811
Quantile regression(QR) fits a linear model for conditional quantiles, just as ordinary least squares (OLS) fits a linear model for conditional means. An attractive feature of OLS is that it gives the minimum mean square error linear approximation to the conditional expectation function even...
Persistent link: https://www.econbiz.de/10012468265