Social Exclusion and Economic Growth: An Empirical Investigation in European Economies

The aims of this article are to propose an overall index of social exclusion and to analyze its relationship with economic growth in European countries. We approach social exclusion as a multidimensional phenomenon by a three‐mode principal components analysis (Tucker3 model). This method is applied to estimate an indicator of social exclusion for 28 European countries between 1995 and 2010. The empirical evidence shows that in the short run: (1) Granger causality runs one way from social exclusion to economic growth and not the other way; (2) countries with a higher level of social exclusion have higher growth rates of real GDP per capita; and (3) social exclusion has a larger effect than income inequality on economic growth. The policy implication of our analysis is that social inclusion is not a source of economic growth in the short term.     

Disability Costs and Equivalence Scales in the Older Population in Great Britain

We use a standard of living (SoL) approach to estimate older people's disability costs, using data on 8000 individuals from the U.K. Family Resources Survey. We extend previous research in two ways. First, by allowing for a more flexible relationship between SoL and income, the structure of the estimated disability cost and equivalence scale is not dictated by a restrictive functional form assumption. Second, we allow for the latent nature of disability and SoL, addressing measurement error in the disability and SoL indicators in surveys. We find that disability costs are strongly related to severity of disability, and vary with income in absolute and proportionate terms. Older people above the median disability level require an extra £99 per week (2007 prices) on average to reach the SoL of an otherwise similar person at the median. Costs faced by older people in the highest decile of disability average £180.     

Deprivation and the Dimensionality of Welfare: A Variable‐Selection Cluster‐Analysis Approach

We approach the problems of measuring the dimensionality of welfare and that of identifying the multidimensionally poor, by first finding the poor using the original space of attributes, and then reducing the welfare space. The starting point is the notion that the “poor” constitutes a group of individuals that are essentially different from the “non‐poor” in a truly multidimensional framework. Once this group has been identified through a clustering procedure, we propose reducing the dimension of the original welfare space using recent blinding methods for variable selection. We implement our approach to the case of Latin America based on the Gallup World Poll, which contains ample information on many dimensions of welfare.     

Short‐run marginal medical costs from booze and butts: Evidence from the states

This article uses a panel data set of U.S. states over the 1980 to 2007 period to estimate the demands for medical care, cigarettes, and beer. The estimation process generates own‐price, income, and cross‐price elasticities for all three goods. Implied per capita beer and cigarette consumption elasticities of per capita health care expenditures, suggested by our baseline estimates, are 0.83 and 0.14, respectively. These results are robust to a number of specification tests. Simulations suggest that yearly marginal medical costs amount to approximately $12 per bottle and 27 cents per cigarette in the short run (in 2012 dollars). These results are likely to be driven by the much larger corresponding increases in the consumption of binge drinkers and heavy smokers.

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