This paper suggests a robust LM (Lagrange Multiplier) test for spatial error model which not only reduces the influence of spatial lag dependence immensely, but also presents robust to changes of spatial layouts and distribution misspecification. Monte Carlo simulation results imply that...

This paper suggests a robust LM (Lagrange Multiplier) test for spatial error model which not only reduces the influence of spatial lag dependence immensely, but also presents robust to changes of spatial layouts and distribution misspecification. Monte Carlo simulation results imply that...

In this paper we present a new asymptotically normal test for out-of-sample evaluation in nested models. Our approach is a simple modification of a traditional encompassing test that is commonly known as Clark and West test (CW). The key point of our strategy is to introduce an independent...

There has been an increasing wave of globalization since the turn of the millennium. This study focuses on two by-products of globalization: dollarization and tourism. Empirical studies have ignored the possible relationship between dollarization and tourism. However, we hypothesize that a...

The present study attempts to estimate the shadow price of unextracted groundwater in the Vozvozi aquifer. In the context of this study, we model the production function of vertically integrated agricultural firms in terms of an input-oriented distance function with multiple inputs. Duality...

This paper explores extensions to the random walk model for time series in finance. There is some disagreement about the suitability of multifractal probability models, but they have compelling attributes. Research that has found no evidence to support the multifractal model has used testing...

This paper examines the demand for edible oil in Pakistan and a dynamic supply response model to show price responsiveness by sunflower oilseed farmers. The demand for edible oil is estimated by using Ordinary Least Square (OLS) technique. It has been found that an increase in the consumption of...

Data Envelopment Analysis (DEA) is a widely applied nonparametric method for comparative evaluation of firms’ efficiency. A deficiency of DEA is that the efficiency scores assigned to each firm are sensitive to sampling variations, particularly when small samples are used. In addition, an...

L'objet de ce papier n'est pas tant de présenter les principaux algorithmes utilisés en modélisation économique - nombre de manuels font des présentations de meilleure qualité et plus exhaustives - que d'en proposer une vision critique. Les modèles économiques, et plus particulièrement...

We investigate the size of the Durbin-Wu-Hausman tests for exogeneity when instrumental variables violate the strict exogeneity assumption. We show that these tests are severely size distorted even for a small correlation between the structural error and instruments. We then propose a bootstrap...