Heterogeneous life-cycle profiles, income risk and consumption inequality

Was the increase in income inequality in the US due to permanent shocks or merely to an increase in the variance of transitory shocks? The implications for consumption and welfare depend crucially on the answer to this question. We use Consumer Expenditure Survey (CEX) repeated cross-section data on consumption and income to decompose idiosyncratic changes in income into predictable life-cycle changes, transitory and permanent shocks and estimate the contribution of each to total inequality. Our model fits the joint evolution of consumption and income inequality well and delivers two main results. First, we find that permanent changes in income explain all of the increase in inequality in the 1980s and 1990s. Second, we reconcile this finding with the fact that consumption inequality did not increase much over this period. Our results support the view that many permanent changes in income are predictable for consumers, even if they look unpredictable to the econometrician, consistent with models of heterogeneous income profiles.     

Financial Liberalization, Property Rights, and Growth in an Overlapping-Generations Model

Using an endogenous growth model in which countries differ with respect to property rights protection, the paper analyzes the growth and welfare effects of removing capital controls, and studies the political support for a reform which improves the quality of property rights. When these are poorly protected, liberalization of capital movements may foster growth in the short run but eliminates it in the long run. The removal of capital controls may benefit agents at the time of liberalization, hurting future generations. Ceteris paribus , political support for a reform of property rights is stronger in the closed than in the open economy.     

Is training more frequent when the wage premium is smaller? Evidence from the European Community Household Panel

According to Becker [Becker, G., 1964, Human Capital, NBER, New York], when labour markets are perfectly competitive, general training is paid by the worker, who reaps all the benefits from the investment. Therefore, ceteris paribus, the greater the training wage premium, the greater the investment in general training. Using data from the European Community Household Panel, we compute a proxy of the training wage premium in clusters of homogeneous workers and find that smaller premia induce greater incidence of off-site training, which is likely to impart general skills. Our findings suggest that the Becker model provides insufficient guidance to understand empirical training patterns. Conversely, they are not inconsistent with theories of training in imperfectly competitive labour markets, in which firms may be willing to finance general training if the wage structure is compressed, that is, if the increase in productivity after training is greater than the increase in pay.     

Covered interest arbitrage profits: The role of liquidity and credit risk

We study the profitability of Covered Interest Parity (CIP) arbitrage violations and their relationship with market liquidity and credit risk using a novel and unique dataset of tick-by-tick firm quotes for all financial instruments involved in the arbitrage strategy. The empirical analysis shows that positive CIP arbitrage deviations include a compensation for liquidity and credit risk. Once these risk premia are taken into account, small arbitrage profits only accrue to traders who are able to negotiate low trading costs. The results are robust to stale pricing and the nonsynchronous trading occurring in the markets involved in the arbitrage strategy.     

Socio‐economic distance and spatial patterns in unemployment

This paper examines the spatial patterns of unemployment in Chicago between 1980 and 1990. We study unemployment clustering with respect to different social and economic distance metrics that reflect the structure of agents' social networks. Specifically, we use physical distance, travel time, and differences in ethnic and occupational distribution between locations. Our goal is to determine whether our estimates of spatial dependence are consistent with models in which agents' employment status is affected by information exchanged locally within their social networks. We present non‐parametric estimates of correlation across Census tracts as a function of each distance metric as well as pairs of metrics, both for unemployment rate itself and after conditioning on a set of tract characteristics. Our results indicate that there is a strong positive and statistically significant degree of spatial dependence in the distribution of raw unemployment rates, for all our metrics. However, once we condition on a set of covariates, most of the spatial autocorrelation is eliminated, with the exception of physical and occupational distance. Racial and ethnic composition variables are the single most important factor in explaining the observed correlation patterns. Copyright © 2002 John Wiley & Sons, Ltd.     

Structure and Location of Innovative Activity in the Italian Economy, 1981–85

An ‘innovative activity matrix’ is established from a recent ISTAT/CNR survey of innovation. After specifying the particularities of an innovative activity matrix in comparison with other flow matrices, we show that it is asymmetrical and clustered in parts of economic space. The structure of the innovative activity matrix is similar to that of the domestic and import requirement but not the capital flow matrix. Strong correlations indicate the following: that input–output analysis is useful for identifying the location of innovative activities in economic space; that it can be analyzed in an economically meaningful way; that its location is structured; and that, furthermore, it is structured in ways which are statistically related to economic activity. The paper ends with suggestions for the examination of possible causal relationships.