This paper deals with the relationship between knowledge, innovation and regional growth. The study is carried out through the application of nonparametric estimation methods to European data at NUTS2 level. We provide evidence that the share of innovative ...firms plays a more relevant role in...

Traffic congestion contributes to longer travel times and increased travel time variability. We account for the dynamic nature of travellers' choices, by deriving a closed-form solution for the costs of travel time variability. The resulting travel delay cost function is linear in the mean...

Using individual level data from Turkstat Household Labor Force Survey for 2005-2009 period and a variety of parametric and semi-parametric techniques, we test two hypothesis regarding formal and informal labor markets: whether there is a wage gap between formal and informal workers and whether...

While the growing supply of university skills is known to have agglomerated towards the large centers in Finland, there is no research knowledge available on the development of regional demands. This paper attempts to fill this gap by analyzing regional variation in the private-sector return to...

We develop a framework for studying how differences in the level and/or dispersion of per-capita income affect trade structure and welfare in a two-country model. Thereby, we embed nonhomothetic preferences into a home-market model with two sectors of production and one input factor. We...

In this paper we present a spatial nonparametric analysis of local multipliers. Following Moretti (2010), we estimate the effect of an exogenous shock in the employment of the tradable sector on the employment in either the nontradable sector or the rest of the tradable sector using a...

Classical spatial autoregressive models share the same weakness as the classical linear regression models, namely it is not possible to estimate non-linear relationships between the dependent and independent variables. In the case of classical linear regression a semi-parametric approach can be...

The economic convergence among European regions over the period 1980-2006 is analysed in the first place by using a conditional β-convergence model and a distance-based weight matrix and secondarily by a spatially-conditioned stochastic kernel approach. A Spatial Autoregressive model which...

Urban economists hypothesize that industrial diversity matters for urban growth and development, but metrics for empirically testing this relationship are limited to simple concentration metrics (e.g. location quotient) or summary diversity indices (e.g. Gini, Herfindahl). As shown by recent...

The objective of this paper is to analyze the determinants of off-farm labor supply by heads of household and their spouses in Nicaragua. Using a three-year balanced panel dataset, we refine the approach introduced by Jacoby (1993) and Skoufias (1994) to estimate shadow wages and shadow income,...