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This paper examines geographic differences in the effect of immigration on the wage distribution of native Italian workers. The results suggest an insignificant effect across the wage distribution in northern provinces, but large and significant effects in the lower and middle parts of the distribution in the south. This is entirely because immigration pushed up wages at the lower end of the female wage distribution in southern local areas. This result is consistent with increases in labor market participation of native women that went hand in hand with improvements of women's skills at the bottom of the wage distribution. [ABSTRACT FROM AUTHOR]

This study exploits the variability in the incidence of recent immigration inflows and the change in native employment in the Italian provinces to shed light on the impact of immigration on employment in rigid local labour markets. The study focuses on the period that followed the financial and sovereign debt crises, which strongly hit the labour markets of the Italian provinces. The results reveal a negligible overall impact of immigration on provincial employment which, however, hides differentiated impacts for different groups of natives. Employment responses to immigration shocks vary greatly depending on the skills and gender of the natives. [ABSTRACT FROM AUTHOR]

ABSTRACT This paper proposes a model that incorporates capital accumulation and spatial spillovers across economies, while allowing for regional differences in absorptive capacity. This model is estimated using a sample of EU regions, over a period including the enlargement of the single-market area in the middle of the first decade of the 21st century. Results confirm the relevance of local absorptive capacity that is directly linked with the process of making the most of externalities. Capital deepening reduced the role of capital in explaining the regional productivity gap, but was not enough to help lagging regions to equal the return to human capital investments reached by most advanced regions. [ABSTRACT FROM AUTHOR]

Regional disparities in unemployment rates are large and persistent. The literature provides evidence of their magnitude as well as of the role of certain factors in explaining the unemployment gap between regions. Most of these studies, however, adopt an aggregate approach and so do not account for the individual characteristics in each region. This paper, by drawing on micro-data from the Spanish wave of the Labour Force Survey, seeks to remedy this shortcoming. An appropriate decomposition of the regional gap in the average probability of being unemployed enables us to distinguish between the contribution of differences in the regional distribution of individual characteristics from that attributable to a different impact of these characteristics. [ABSTRACT FROM AUTHOR]

ABSTRACT Regional differences in real wages have been shown to be both large and persistent in the United States and the U.K., as well as in the economies of other countries. Empirical evidence suggests that wage differentials adjusted for the cost of living cannot only be explained by the unequal spatial distribution of characteristics determining earnings. Rather, average wage gap decomposition reveals the important contribution made by regional heterogeneity in the price assigned to these characteristics. This paper proposes a method for assessing regional disparities in the entire wage distribution and for decomposing the effect of differences across regions in the endowments and prices of the characteristics. The hypothesis forwarded is that the results from previous studies obtained by comparing average regional wages may be partial and nonrobust. Empirical evidence from a matched employer-employee dataset for Spain confirms marked differences in wage distributions between regions, which do not result from worker and firm characteristics but from the increasing role of regional differences in the return to human capital. [ABSTRACT FROM AUTHOR]

Trade, foreign direct investment, and inter-regional R&D spillovers facilitate competition, the spread of knowledge, and the adoption of more advanced technologies, which in turn hastens total factor productivity (TFP) growth. The spread of these efficiency gains from internationalization requires a sufficient local knowledge to enable them to be adapted to the domestic productive environment. Thus, higher local knowledge and internationalization will lead to TFP growth, and the greater the complementarity between variables the higher the TFP growth. We test the complementarity hypothesis using Spanish regional data over the period 1980–1995 in which both regional local knowledge and internationalization experienced a notable increase. [ABSTRACT FROM AUTHOR]

Recent contributions to the regional science literature have considered spatial effects in empirical growth specifications. In the case of spatial dependence, following theoretical arguments from new economic geography, and endogenous growth models, this phenomenon has been associated with the existence of externalities that cross regional borders. However, despite the general consensus that interactions or externalities are likely to be the major source of spatial dependence, they have been modelled in a rather ad hoc manner in most existing empirical studies. In contrast, we advocate basing the analysis on structural growth models which include externalities across economies, applying the appropriate spatial econometrics tools to test for their presence and estimate the magnitude of these externalities in the real world. [ABSTRACT FROM AUTHOR]

In this article we propose a set of tools for analysing the regional distribution of unemployment. As we are interested in the characteristics of the distribution as a whole, results from a traditional regression analysis are complemented with those obtained by estimating its external shape before and after being conditioned to factors underlying regional unemployment. In addition, we specifically consider the spatial characteristics of the distribution, and the empirical model we develop to determine explanatory factors includes spatial effects. This framework is applied to the study of the provincial distribution of unemployment rates in Spain. Results point to increasing spatial dependence in the distribution of regional unemployment rates, and a change in the factors causing regional differentials over the last decade. [ABSTRACT FROM AUTHOR]