We propose two exact p-values of two commonly-used test statistics for testing the superiority under Poisson populations. We show that, the computationally-intensive confidence-set p-value involves at most a supremum search over a closed interval of a single argument. On the other hand, the...

Using indirect inference based on a VAR we confront US data from 1972 to 2007 with a standard New Keynesian model in which an optimal timeless policy is substituted for a Taylor rule. We find the model explains the data both for the Great Acceleration and the Great Moderation. The implication is...

Using Monte Carlo experiments, we examine the performance of indirect inference tests of DSGE models in small samples, using various models in widespread use. We compare these with tests based on direct inference (using the Likelihood Ratio). We find that both tests have power so that a...

We compare three standard New Keynesian models differing only in their representations of monetary policy—the Optimal Timeless Rule, the original Taylor Rule and another with ‘interest rate smoothing’—with the aim of testing which if any can match the data according to the method of...

We address the issue of performing testing inference in generalized linear models when the sample size is small. This class of models provides a straightforward way of modeling normal and non-normal data and has been widely used in several practical situations. The likelihood ratio, Wald and...

In impulse response analysis estimation uncertainty is typically displayed by constructing bands around estimated impulse response functions. These bands may be based on frequentist or Bayesian methods. If they are based on the joint distribution in the Bayesian framework or the joint asymptotic...

Using Monte Carlo experiments, we examine the performance of indirect inference tests of DSGE models in small samples, using various models in widespread use. We compare these with tests based on direct inference (using the Likelihood Ratio). We find that both tests have power so that a...

This paper describes how to estimate the alternative model that admits a one-time break in coeffcients of a linear regression function and variances of the errors. Bai and Perron (1998) introduced an estimation and testing procedure for multiple breaks in regression coeffcients. We limit the...

Using Monte Carlo experiments, we examine the performance of Indirect Inference tests of DSGE models, usually versions of the Smets-Wouters New Keynesian model of the US postwar period. We compare these with tests based on direct inference (using the Likelihood Ratio), and on the Del...