Height data offer insights into the well-being of populations and historical periods for which other indicators are lacking. Researchers modeling historical heights have typically relied on the restrictive assumption of a normal (Gaussian) distribution, only the mean of which is affected by age,...

With the end of the celebrations marking the 150th anniversary of the unification of Italy, the availability of a large body of new historical statistical data calls for a redefinition of the features of Italian economic growth. The paper presents new estimates – at both national and regional...

We argue against the use of composite indices, such as the Human Development Index (HDI), in economic history. We show that the HDI can be interpreted as a formal representation of the analyst’s ethical system. We support our claim by introducing a new class of paternalistic social welfare...

We investigate the effect that seemingly minor features of the implementation of cost-of-living adjustments have on the distribution of household expenditures, by developing an analytical framework that is consistent with standard consumer theory, and mindful of data limitations faced by...

We consider a general sample selection model where unit and item nonresponse simultaneously affect a regression relationship of interest, and both types of nonresponse are potentially correlated. We estimate both parametric and semiparametric specifications of the model. The parametric...

This paper shows that gender and regional differences in self-rated health in Europe are partly explained by differences in the prevalence of the various conditions. However, a non-negligible part of these differences is due to other causes, which may include differences in reporting own health....

We investigate the relationship between ageing, cognitive abilities and retirement using the Survey on Health, Ageing and Retirement in Europe (SHARE), a household panel that offers the possibility of comparing several European countries using nationally representative samples of the population...

Reliable measures of poverty are an essential statistical tool for public policies aimed at reducing poverty. In this paper we consider the reliability of income poverty measures based on survey data which are typically plagued by missing data and measurement error. Neglecting these problems can...

Given a scalar random variable Y and a random vector X defined on the same probability space, the conditional distribution of Y given X can be represented by either the conditional distribution function or the conditional quantile function. To these equivalent representations correspond two...

A common problem in applied regression analysis is that covariate values may be missing for some observations but imputed values may be available. This situation generates a trade-off between bias and precision: the complete cases are often disarmingly few, but replacing the missing observations...