In this paper we estimate a New-Keynesian DSGE model with heterogeneity in price and wage setting behavior. In a recent study, Coibion and Gorodnichenko (2011) develop a DSGE model, in which firms follow four different types of price setting schemes: sticky prices, sticky information, rule of...

Abstract: In specifying a regression equation, we need to determine which regressors to include, but also how these regressors are measured. This gives rise to two levels of uncertainty: concepts (level 1) and measurements within each concept (level 2). In this paper we propose a hierarchical...

Auditing a large population of recorded values is usually done by means of sampling.Based on the number of incorrect records that is detected in the sample, a point estimate and a confidence limit for the population fraction of incorrect values can be determined.In general it is (implicitly)...

In this paper we estimate ideal points of Bank Presidents and Board Governors at the FOMC. We use stated preferences from FOMC transcripts and estimate a hierarchical spatial voting model. We find a clear difference between the average Board Governor and Bank President. We find little evidence...

Bayesian model averaging attempts to combine parameter estimation and model uncertainty in one coherent framework. The choice of prior is then critical. Within an explicit framework of ignorance we define a ‘suitable’ prior as one which leads to a continuous and suitable analog to the...

This article is concerned with the estimation of linear regression models with uncertainty about the choice of the explanatory variables. We introduce the Stata commands bma and wals which implement, respectively, the exact Bayesian Model Averaging (BMA) estimator and the Weighted Average Least...

Two model averaging approaches are used and compared in estimating and forecasting dynamic factor models, the well-known BMA and the recently developed WALS. Both methods propose to combine frequentist estimators using Bayesian weights. We apply our framework to the Armenian economy using...

We consider a Bayesian analysis of the stochastic frontier model with composed error.Under a commonly used class of (partly) noninformative prior distributions, the existence of the posterior distribution and of posterior moments is examined.Viewing this model as a Normal linear regression model...

Abstract: This paper analyzes the voting records of four central banks (Sweden, Hungary, Poland and the Czech Republic) with spatial models of voting. We infer the policy preferences of the monetary policy committee members and use these to analyze the evolution in preferences over time and the...