When considering multiple hypothesis tests simultaneously, standard statistical techniques will lead to over-rejection of null hypotheses unless the multiplicity of the testing framework is explicitly considered. In this paper we discuss the Romano-Wolf multiple hypothesis correction, and...

The paper contributes to the measurement of poverty and vulnerability in three ways. First, we propose a new approach to separating poverty into chronic and transient components. Second, we provide corrections for the statistical biases introduced when using a small number of periods to estimate...

We discuss methods for calculating multivariate normal probabilities by simulation and two new Stata programs for this purpose: -mdraws- for deriving draws from the standard uniform density using either Halton or pseudo-random sequences, and an egen function -mvnp()- for calculating the...

This paper examines the differences in welfare, as measured by per capita expenditure (PCE), between social groups in rural India across the entire welfare distribution. The paper establishes that the disadvantage suffered by two historically disadvantaged groups - Scheduled Castes (SCs) and...

We study job durations using a multivariate hazard model allowing for worker-specific and firm-specific unobserved determinants. The latter are captured by unobserved heterogeneity terms or random effects, one at the firm level and another at the worker level. This enables us to decompose the...

This paper assesses whether short-lived jobs (lasting one quarter or less and involuntarily ending in unemployment) are stepping stones to long-lasting jobs (enduring one year or more) for Belgian long-term unemployed school-leavers. We proceed in two steps. First, we estimate labour market...

This paper investigates the extent to which test performance is affected by shocks to non-cognitive skills. 440 students took a low stakes mathematics test. About half of them were exposed to positive affirmation while being given test instructions, whereas the other half served as controls. The...

This paper develops a simulation estimation algorithm that is particularly useful for estimating dynamic panel data models with unobserved endogenous state variables. The new approach can easily deal with the commonly encountered and widely discussed "initial conditions problem," as well as the...

We analyze the way women's education influences the effect of children on their level of labor market involvement. We propose an econometric model that accounts for the endogeneity of labor market and fertility decisions, for the heterogeneity of the effects of children and their correlation...

We use panel data from NLSY79 to analyze the effects of the timing and spacing of births on the labor supply of married women in a framework that accounts for the endogeneity of labor market and fertility decisions, the heterogeneity of the effects of children and their correlation with the...