The aim of this paper is to analyse the evolution of manufacturing in 11 OECD countries: 9 European Countries, the United States and Japan, during the period 1975-92, from two economi approaches: supply and demand. With this purpose we estimate, with a pool of data, two econometric models for...

Recent studies illustrate that under some conditions dynamic stochastic general equilibrium models can be expressed as structural vector autoregressive models of infinite order. Based on this mapping and the theoretical results about vector autoregressive models of infinite order this paper...

The least absolute deviation (LAD) regression is a useful method for robust regression, and the least absolute shrinkage and selection operator (lasso) is a popular choice for shrinkage estimation and variable selection. In this article we combine these two classical ideas together to produce...

shrinkage and selection. In this article, we extend its application to the REGression model with AutoRegressive errors (REGAR). Two types of lasso estimators are carefully studied. The first is similar to the traditional lasso estimator with only two tuning parameters (one for regression...

We propose a method of least squares approximation (LSA) for unified yet simple LASSO estimation. Our general theoretical framework includes ordinary least squares, generalized linear models, quantile regression, and many others as special cases. Speciffically, LSA can transfer many different...

There has been considerable attention on estimation of conditional variance function in the literature. We propose here a nonparametric model for conditional covariance matrix. A kernel estimator is developed accordingly, its asymptotic bias and variance are derived, and its asymptotic normality...

By slicing the region of the response (Li, 1991, SIR) and applying local kernel regression (Xia et al., 2002, MAVE) to each slice, a new dimension reduction method is proposed. Compared with the traditional inverse regression methods, e.g. sliced inverse regression (Li, 1991), the new method is...

I papiret undersøges anvendeligheden af en ikke-parametrisk metode, en såkaldt regression spline, til estimation af husholdningers marginale forbrugstilbøjelighed. I forhold til eksisterende metoder kræver denne tilgang færre teoretiske antagelser for identifikation. Mere specifikt vises...

This paper puts forward a Bayesian version of the global vector autoregressive model (B-GVAR) that accommodates international linkages across countries in a system of vec-tor autoregressions. We compare the predictive performance of B-GVAR models for the one- and four-quarter ahead forecast...

Corruption is perceived to be a major factor hindering sustainable development all around the globe. The aim of this paper is to shed light on the corruption-sustainable development nexus from the perspective of select 47 countries across Asia, Africa and Latin America and the Caribbean (LAC)....