This paper proposes a particular behavioral assumption to characterize the stochastic structure of intertemporal discrete choice models in the absence of state dependence. This assumption extends Luce's axiom; Independence from Irrelevant Alternatives, to the intertemporal context. Under certain...

Does having a child immunised at the prior schedule genuinely impact the likelihood of vaccinating the child at the following schedule? Using longitudinal data from Growing Up in New Zealand study, we apply a random-effects probit model that also controls for the initial immunisation status. We...

Identifying populations at risk of deprivation is crucial for effective policy design. Yet, much existing research focuses on single aspects, such as income or material deprivation, and often abstracts from deprivation dynamics. This study addresses this gap by analyzing the dynamics and...

A population’s weight conditioned on height reflects its current net nutrition and demonstrates health variation during economic development. This study builds on the use of weight as a measure for current net nutrition and uses a difference-in-decompositions technique to illustrate how black...

A population's weight conditioned on height reflects its current net nutrition and demonstrates health variation during economic development. This study builds on the use of weight as a measure for current net nutrition and uses a difference-in-decompositions technique to illustrate how black...

We develop a rational expectations model of placebo effects. If subjects in seemingly-ideal single-stage RCTs form rational beliefs about breakthroughs based upon personal physiological responses, mental effects differ across medications received, treatment versus control. Consequently, the...

Health expenditure data almost always include extreme values, implying that the underlying distribution has heavy tails. This may result in infinite variances as well as higher-order moments and bias the commonly used least squares methods. To accommodate extreme values, we propose an estimation...

In this paper, we study transmission of traits through generations in multifactorial inheritance models with sex- and time-dependent heritability. We further analyze the implications of these models under heavy-tailedness of traits' distributions. Among other results, we show that in the case of...

This paper introduces a novel approach for dealing with the 'curse of dimensionality' in the case of large linear dynamic systems. Restrictions on the coefficients of an unrestricted VAR are proposed that are binding only in a limit as the number of endogenous variables tends to infinity. It is...

In this paper we propose a general approach for estimating stochastic frontier models, suitable when using long panel data sets. We measure efficiency as a linear combination of a finite number of unobservable common factors, having coefficients that vary across firms, plus a time-invariant...