We address the problem of estimating generalized linear models (GLMs) when the outcome of interest is always observed, the values of some covariates are missing for some observations, but imputations are available to fill-in the missing values. Under certain conditions on the missing-data...

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...

We investigate the causal effect of retirement on health and cognitive abilities by exploiting the panel dimension of the first two waves of the Survey of Health Ageing and Retirement in Europe (SHARE) and the variation between and within European countries in old age retirement rules. We show...

This paper considers estimation of a linear regression model using data where some covariate values are missing but imputations are available to fill-in the missing values. The availability of imputations generates a trade-off between bias and precision in the estimators of the regression...

We study the long-term consequences of war on health and human capital of Europeans born during the first half of the twentieth century, a period that has been termed the "era of two world wars". This period includes not only WW1 and WW2, but also the Spanish Flu and a long series of armed con...

This paper estimates food Engel curves using data from the first wave of the Survey on Health, Aging and Retirement in Europe (SHARE). Our statistical model simultaneously takes into account selectivity due to unit and item nonresponse, endogeneity problems, and issues related to flexible...

Although surveys routinely ask respondents to evaluate various aspects of their life on an ordered scale, there is concern about interpersonal comparability of these self-assessments. Statistically, the problem is one of identification in ordered response models with heterogeneous thresholds. As...

This paper proposes a procedure for efficient estimation of the trimmed mean of a random variable conditional on a set of covariates. For concreteness, the paper focuses on a financial application where the trimmed mean of interest corresponds to the conditional expected shortfall, which is...

We separate the budgetary and non-budgetary effects of price on demand using choice data from wine tasting experiments in which consumers tasted wines of different quality accompanied by fictitious price information. The non-budgetary effect is present and nonlinear: it is strongly positive...

This paper studies the effects of episodes of stress, poor health, financial hardship and hunger earlier in life on education and health in later life. As a source of identification, we exploit the huge temporal and regional variation of war-related events in Europe during the period from the...