Do well-functioning stock markets and banks promote long-run economic growth? Recent studies answer this important question in the affirmative. This paper presents a reasonable extreme bounds analysis of the empirical relationships between the financial system and economic growth as well as the...

In this paper, we provide both quantitative and quantitative measures of the cost of measuring the integrated volatility by the realized volatility when the frequency of observation is fixed.

We propose a test for spatial correlation in Probit models that is a joint test for exclusion of spatially lagged-dependent variables and absence of spatial-error correlation. We give a maximum-likelihood justification for the test but use a simulations approach rather than relying on its...

sta The Consumption Capital Asset Pricing Model (C-CAPM) is tested using data on equity prices in Jordan, Turkey, and Pakistan over the period 1986-93. The analysis is carried out in two steps. The parameters of agents' dynamic consumption and investment decisions are first estimated, and then...

This paper "tests" the performance of the approaches of Watson (1993), DeJong, Ingram and Whiteman (1996), Canova and De Nicolo (1995) and Ortega (1998) for evaluating stochastic dynamic general equilibrium models using Monte Carlo techniques. It asks: Do different model evaluation methodologies...

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...

Given the increasing use of panel data in testing hypotheses about labour market behaviour, it is essential that economists have a cound grasp of the problems involved in the collection of this type of data. This paper investigates the biases generated by recall errors and panel attrition, using...

This paper pursues three objectives in the context of multiple regression models: 1) To give a rationale for model selection criteria which combine a badness of fit term (such as minus twice the log likelihood) with a measure of complexity of a model. 2) To investigate the asymptotic consistency...

The Bayesian variable selection method proposed in the paper is based on the evaluation of the Kullback-Leibler distance between the full (or encompassing) model and the submodels. The emplmentation of the model doesnot require a separate prior modeling on the submodels since the corresponding...

We consider asymptotic coverage properties of one-sided posterior confidence intervals for discrete distributions, with a unidimensional parameter of interest and a nuisance parameter of arbitrary dimension. In this case, no higher order asymptotic expansion of the frequentist coverage for these...