This paper evaluates the heterogeneous effect of health insurance on out-of-pocket healthcare expenditure (OOPHE), using merged data from the Ghana Living Standards Survey and Ghana Health Service reports. It applies conditional-mixed process and censored quantile instrumental variable...

In developing societies, social norms typically ascribe differential weights to paternal, maternal and communal (or state) contributions to children’s expenses. Individuals internalize these valuations. I examine a Cournot model of voluntary contribution to children’s goods in a twoadult...

Using data from the 1997 and 2002 waves of the German Socio-Economic Panel and from official statistics, I study whether natives are less supportive of state help for the unemployed in regions where the share of foreigners among the unemployed is high. Unlike previous studies, I use...

We analyze empirically the optimal design of social insurance and assistance programs when families obtain insurance by making labor supply choices for both spouses. For this purpose, we specify a structural life-cycle model of the labor supply and savings decisions of singles and married...

Redistribution across individuals in a one-year-period framework is an empirically intensely studied question. However, a substantial share of annual redistribution might turn out to serve individual insurance in a longer perspective. In particular, public pensions, that smooth incomes over the...

Redistribution and the welfare state have been linked by academic discourse to narratives that portray specific societal groups as 'deserving' or 'undeserving'. The present analysis contributes to this scholarship in a twofold manner. First, it provides a holistic view on the beneficiaries and...

Since the 1994 devaluation, growth has been quite strong in Mali (about 5% p.a. on average), but much weaker in terms of GDP per person (about 2.6% p.a.) due to a very high index of fecundity. Growth is still very unstable, due to a large share of agriculture in GDP and very sensitive to...