Cet article présente les contributions originelles et essentielles de T. Sargent et C. Sims à la modélisation macro-économétrique. Après avoir exposé leur critique de la modélisation existante, cet article s'attache à préciser l'originalité de leurs approches respectives. La...

Multilevel Analysis - Techniques and Applications is intended as an introduction to multilevel analysis for students and applied researchers, a book that can be used either in psychology, education, sociology, or business courses. Hox takes the reader step by step into the area of multilevel...

This research reflects the importance in statistics of the territorial indexes numbers which express the dynamic of the statistical variables in territorial profile. The purpose of this paper consists in to reflect over of the economic life, how we will can to apply some important...

Although economic processes and systems are in general simple in nature, the underlying dynamics are complicated and seldom understood. Recognizing this, in this paper we use a nonstationary-conditional Markov process model of observed aggregate data to learn about and recover causal influence...

This paper proposes plug-in bandwidth selection for kernel density estimation with discrete data via minimization of mean summed square error. Simulation results show that the plug-in bandwidths perform well, relative to cross-validated bandwidths, in non-uniform designs. We further find that...

The SAR model is widely used in spatial econometrics to model Gaussian processes on a discrete spatial lattice, but for large datasets, fitting it becomes computationally prohibitive, and hence, its usefulness can be limited. A computationally-efficient spatial model is the spatial random...

A large number of nonlinear conditional heteroskedastic models have been proposed in the literature. Model selection is crucial to any statistical data analysis. In this article, we investigate whether the most commonly used selection criteria lead to choice of the right specification in a...

The current paper considers a linear regression framework with two endogenous regressors, but only one instrument that is correlated with both. I demonstrate that under reasonable conditions, some of which are testable from the data, these different sources of endogeneity act in opposing...

Knowledge of dependence pattern in stock market has paramount importance for both theoretical and practical in financial markets. Their usefulness is wide, can be used in portfolio predictability (of portfolio) and risk management. The aim of this paper is to investigate the autoregressive...

In this note, we examine the size and power properties and the break date estimation accuracy of the Lee and Strazicich (LS, 2003) two break endogenous unit root test, based on two different break date selection methods: minimising the test statistic and minimising the sum of squared residuals...