El estudio de las preferencias es uno de los temas menos tratados por la econometría aplicada. En el presente artículo se pretende realizar una aproximación translogarítimica de las preferencias por medio de la construcción de un Índice de Satisfacción de los Hogares (ISH) con base al...

This paper presents an economic model of individual crime decision relying on relative deprivation and discusses the role of education. It distinguishes between property and interpersonal crime and proposes an econometric estimation of the model for 723 municipalities of Minas Gerais, one of the...

An exogenous impact function is defined as the derivative of a structural function with respect to an endogenous variable, other variables, including unobservable variables held fixed. Unobservable variables are fixed at specific quantiles of their marginal distributions. Exogenous impact...

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...

China’s rapid overall growth since 1978 masks significant differences in relative economic performance across its provinces. This paper finds that, while per capita income of poor provinces are catching up with those in the rich, the relative income distribution appears to be stratifying into...

The article analyses further develops the neo-dependency approach already presented by the same author and looks at recent time series trends in the structure of international capital penetration, international savings, and the dynamics of “unequal transfer” and their effects on social...

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...

Classical parametric estimation methods applied to nonlinear regression and limited-dependent-variable models are very sensitive to misspecification and data errors. This sensitivity is addressed by the theory of robust statistics which builds upon parametric specification, but provides...

We show in this paper that spatial dependence and spatial heterogeneity matter in the estimation of the b-convergence process among 138 European regions over the 1980-1995 period. Using spatial econometrics tools, we detect both spatial dependence and spatial heterogeneity in the form of...

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