When calibrated, the Mortensen & Pissarides [1994] is able to produce some stylized facts highlighted by empirical studies on US gross job flowa. However, other stylized facts concerning their asymmetric properties are generally neglected at the aggregate level. The aim of this paper is to test...

Using a small closed economy model Ball (1987) showed that nominal GDP targeting can lead to instability. This paper extends Ball ; s model to uncover the role inflation expectations play in generating this instability.

It is a well established idea that Bertrand competition is more efficient in welfare terms than Cournot competition regardless of the degree of substituability or complementary of the commodities produced by the firms. In this paper I show that, introducing incomplete information abour rivals'...

This paper considers the estimation of dynamic structural models where the decision variables are censored. We present and discuss several econometric issues and estimation methods under alternative stochastic structure of the unobservables, different potential sources of censoring, and...

The analysis of economic time series assumes specific economic behaviour of a representative agent. The data used in analysis is generated by aggregating observations of all individuals in a population. This is valid only if all members of a population have the same data generating process, but...

The purpose of this study is to investigate the effect of time-aggregation in discrete and contunous-time hazard models. A Monte Carlo study is conducted in which data are generated according to underlying contunous and discrete-time processes, which data are aggregated into daily, weekly and...

The purpose of this study is to investigate the effect of time-aggregation in discrete and contunous-time hazard models. A Monte Carlo study is conducted in which data are generated according to underlying contunous and discrete-time processes, which data are aggregated into daily, weekly and...

The problem considered in this paper is how to find reliable prediction intervals with simple exponential smoothing and trend corrected exponential smoothing. Methods for constructing prediction intervals based on linear approximation and bootstrapping are proposed.

It is well known that the usual techniques for estimating random and fixed effects panel data models are inconsistent in the dynamic setting. As a consequence, numerous consistent estimators have been proposed in the literature. However, all such estimators rely on certain well defined...

This paper is concerned with model selection based on penalized maximized log likelihood function. Its main emphasis is on how these penalities might be chosen in small samples to give good statistical properties.