This paper proposes a macro-prudential financial soundness analysis that can be used by most developing and transformation countries with or without crisis experience as well as by developed countries with limited data. The objective is to detect economic and financial sector vulnerability,...

We estimate and decompose family income-related inequality in child health in the US and analyze its dynamics using the income-related health mobility index recently introduced by Allanson et al., 2010. Data come from the 1997, 2002, and 2007 waves of the Child Development Supplement (CDS) of...

This study examines the education gradient in three chronic conditions - diabetes, hypertension, and high cholesterol. In the analysis, we take into account diagnosed as well as undiagnosed cases, and we use methods that account for the possibility that unmeasured factors exist that are...

We have argued that from the standpoint of a policy maker, the uncertainty of using the average forecast is not the variance of the average, but rather the average of the variances of the individual forecasts that incorporate idiosyncratic risks. With a slight reformulation of the loss function...

In this paper, we estimate the effect of psychiatric disorders on labor market outcomes using a structural equation model with a latent index for mental illness, an approach that acknowledges the continuous nature of psychiatric disability. We also address the potential endogeneity of mental...

Research has shown that birthweight has a lasting impact on later-life outcomes such as educational attainment and earnings. This paper examines the role of health at birth in determining academic achievement in childhood, which may provide the link between birthweight and adult outcomes. Using...

The objective of this paper is to estimate the effect of diabetes on labor market exit using longitudinal data from the 1992-2010 Health and Retirement Study (HRS). We estimate a discrete time hazard model to test whether diabetes affects the hazard of leaving employment among individuals who...

We develop a non-linear forecast combination rule based on copulas that incorporate the dynamic interaction between individual predictors. This approach is optimal in the sense that the resulting combined forecast produces the highest discriminatory power as measured by the receiver operating...

We propose autocorrelation-robust asymptotic variances of the Brier score and Brier skill score, which are generally applicable in circumstances with weak serial correlation. An empirical application in macroeconomics underscores the importance of taking care of serial correlation. We find that...

Using a sample of sibling pairs from a nationally representative U.S. survey, we examine the effects of the fetal growth rate on a set of neurobehavioral outcomes in childhood measured by parent-reported diagnosed developmental disabilities and behavior problems. Based on models that include...