he purpose of this article is to analyse the dynamic trend of spatial dependence, which is not only contemporary but time-lagged in many socio-economic phenomena. Firstly, we show some of the commonly used exploratory spatial data analysis (ESDA) techniques and we propose other new ones, the...

Recently municipal household income has been estimated with spatial econometrics techniques explicitly including spatial autocorrelation in the econometric models. Spatial econometric tools have highly improved the explicative and predictive capacity of the models and more effort must be done in...

This paper develops a simple and practical framework for characterizing (long-run) economic growth and fluid capital accumulation under shifting technological change. The framework specifies a technological change that depends on exogenous and endogenous factors as well as the interaction...

This paper decomposes the large regression residuals of income across 84 U.S. Native American economies (USNAEs) into Solow and Solow-like parts. Decomposition is accomplished algebraically. The calculations find a weak to negative correlation between income and Solow residuals, and a strong...

The current research emphasis on institutions as key determinants of economic performance, rather than on resources and resource productivity, has uncovered important questions for further research. For example, if institutions are central to economic performance, then what explains observed...

Institutions either promote or constrain economic performance, but which parts of institutions advance or restrict performance, and why do economies sharing similar institutions sometimes perform differently? This paper is a modest attempt at addressing a small part of these questions. It...

The aims of this paper are estimate and forecast the Non-Accelerating Inflation Rate of Unemployment, or NAIRU, for Brazilian unemployment time series data. In doing so, we introduce a methodology for estimating mixed additive seasonal autoregressive (MASAR) models, by the Generalized Method of...

This paper studies the estimation of conditional quantiles of counts. Given the discreteness of the data, some smoothness has to be artificially imposed on the problem. The methods currently available to estimate quantiles of count data either assume that the counts result from the...

We propose an Instrumental Variable method for Generalised Accelerated Failure Time (GAFT) models that adjust for possible endogeneity of the intervention of interest, without suffering the problems of the intention-to-treat method. We develop an estimatiom procedure that collapses to the linear...

This paper considers empirical work relating to models of firm dynamics. We show that a hazard regression model for firm exits, with a modification to accommodate age-varying covariate effects, provides an empirical framework accommodating many of the features of interest in studies on firm...