Markov chain theory, which has frequently been applied to analyze income convergence, imposes restrictive assumptions on the data-generating process. In most empirical studies, it is taken for granted that per capita income follows a stationary first-order Markov process. To examine the reliability of estimated Markov transition matrices, the authors propose Pearson X2 and likelihood ratio tests of the Markov property, spatial independence, and homogeneity over time and space. As an illustration, it is shown that per capita income in the forty-eight contiguous U.S. states did clearly not follow a common stationary first-order Markov process from 1929 to 2000.
Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Night lights could be a valuable proxy of economic activity at the subnational level when GDP data are lacking or of poor quality. Supplementing Henderson et al.'s (2012) analysis at the national level, we assess the stability of the elasticity of GDP with regard to night lights across regions in Brazil, India, the United States, and Western Europe. The relationship between regional GDP and night lights proves to be unstable, not only where regional GDP data may be unreliable but also where such data are of high quality. This suggests that night lights tend to be a poor proxy of regional economic activity. Terms of use: Documents in EconStor may
This paper extends the methodological toolbox of measures of regional concentration of industries and industrial specialization of regions. It first defines disproportionality measures of concentration and specialization, and proposes a taxonomy of these measures. This taxonomy is based on three characteristic features of any disproportionality measure. It helps researchers define the measure that fits their research purpose and data best. The paper then generalizes this taxonomy to cover disproportionality measures of economic localization thatevaluate specialization and concentration simultaneously, and spatial disproportionality measures that deal with the checkerboard problem and the modifiable areal unit problem.
Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in Spatial Effects of Foreign Direct Investment in US StatesEckhardt Bode, Peter Nunnenkamp, Andreas WaldkirchAbstract: This paper estimates the aggregate productivity effects of Marshallian externalities generated by foreign direct investments (FDI) in the US. In contrast to earlier work, this paper puts special emphasis on controlling for Marshallian externalities and other intra-and inter-regional spillovers generated by domestic firms. The productivity effects of these externalities may, if not accounted for appropriately, be falsely attributed to FDI. This paper also deals with the potential endogeneity of FDI and the presence of spatial lags by employing a system generalized method of moments (GMM) estimator. We use a regional production function framework that models Marshallian externalities and other intraand inter-regional spillovers explicitly as determinants of total factor productivity, and tests several empirical specifications of this model, using data for US states from 1977-2003. The results indicate that FDI does, in fact, generate positive externalities, while those from domestic firms are negative.
ABSTRACT. This paper proposes an approach to delineating metropolitan areas that is more general than the standard approaches in three respects: First, it uses the fraction of land prices attributable to economies of urban agglomeration instead of using commuting intensities as an indicator of economic integration between metropolitan centers and their hinterlands. Second, it identifies metropolitan centers endogenously instead of determining them exogenously. And third, it takes metropolitan subcenters explicitly into account. An empirical illustration is used to show that the approach tends to delineate fewer but larger metropolitan areas in densely populated regions, and smaller metropolitan areas in sparsely populated regions.
Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. This paper investigates the effects of inward FDI on per-capita income and growth of the US states since the mid-1970s. Using a Markov chain approach, it shows that both quantitative and qualitative characteristics of FDI affect per-capita income and growth. The empirical findings suggest that employment-intensive FDI, concentrated in richer states, has been conducive to income growth, while capital-intensive FDI, concentrated in poorer states, has not. Consequently, FDI has tended to be associated with weaker rather than stronger income convergence among US states. It appears to be less important whether FDI has been undertaken in the manufacturing sector of US states or in other sectors. JEL: F23; O18; O51 Terms of use: Documents in EconStor may
Digital technologies will both create new jobs and replace existing ones. To cope with increasing labor market dynamics in the digital age, workers will have to become more mobile across jobs, occupations, and industries. The relative importance of their job-specific skills will decrease while that of their general skills applicable to various occupations will increase. The G20 should establish national adult training programs that focus on improving workers' general skills, specifically their theoretical, non-cognitive, and digital skills. These general skills will enable workers to work with technology instead of competing with it, thereby increasing their job mobility and employability.(Published as Global Solutions Paper) JEL E24 I38 J24 J62 O33
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