The aim of this paper is to study the probability to find an opportunity of collaboration among small and medium sized firms by participating in the Europartenariat meeting created to encourage co-operation links. Contacts among firms are relatively few in number and are assumed to be generated by a Poisson process. Empirical results of different Poisson regression models with reference to para...

Gravity Equations are broadly used to estimate the impacts of trade impediments on trade flows. It is often stated that results are implausibly high. In theoretical foundations of the gravity equation, trade costs usually enter as "icebergmelting-costs". This paper offers an alternative approach to model trade costs. From a microeconomic point of view, trade costs should depend on trade input p...

The application of the generalized gravity model in analyzing the Bangladesh’s trade reveals that Bangladesh’s trade is positively determined by the size of the economies, per capita GNP differential of the countries involved and openness of the trading countries. Bangladesh’s exports are positively determined by the exchange rate, partner countries’ total import demand and openness of the Bang...

Current research on antidumping suggests a number of channels through which antidumping affects the volume of world trade. This paper uses a structural approach to the gravity model framework to evaluate these hypotheses using data on trade volume over the period 1960-2001. We conclude that the volume and welfare effects have been negative, but quite modest. JEL classification: C230; F14; F15

This paper uses control variables to identify and estimate models with nonseparable, multidimensional disturbances. Triangular simultaneous equations models are considered, with instruments and disturbances independent and reduced form that is strictly monotonic in a scalar disturbance. Here it is shown that the conditional cumulative distribution function of the endogenous variable given the i...

Real estate data exhibit autocorrelation and heterogeneity across both space and time. The literature is beginning to advance methods that account for the four components. This article accordingly introduces the Bayesian Maximum Entropy (BME) method to real estate analysis. In addition to controlling for spatiotemporal autocorrelation and heterogeneity, BME allows for probabilistic and missing ...

Random Coefficient Panel Data Models This paper provides a review of linear panel data models with slope heterogeneity, introduces various types of random coefficients models and suggest a common framework for dealing with them. It considers the fundamental issues of statistical inference of a random coefficients formulation using both the sampling and Bayesian approaches. The paper also provid...

By disaggregating price indices, it becomes apparent that the real exchange rate consists of the real exchange rate for a single good and a weighted sum of relative prices between goods. When applying a battery of panel unit root tests to this sum and its components, it is found that both the sum and the relative prices are non-stationary. This implies that PPP is invalid even if the LOP holds ...

This paper explores the issue of efficiency in English higher education using data envelopment analysis and stochastic frontier analysis to estimate an output distance function (which incorporates measures of both quantity and quality of teaching and research inputs and outputs) over a thirteen-year period. The study compares the efficiency estimates derived from various estimation methods, and...

We analyze the relationship between website visits, magazine demand and the demand for advertising pages using Granger non-causality tests on the basis of an extensive and externally audited quarterly data set for the German magazine market spanning the period I/1998 to II/2004. We use traditional panel data estimators and an estimator suitable for heterogeneity across magazines. We find very r...