The Gini measure of inequality can be written as the ratio of dyadic means. We define the conditional Gini as the ratio of conditional dyadic means. The conditional Gini shows how inequality varies with observables, both levels and differences. We illustrate the approach in a simple analytical example, and discuss how it compares to other techniques for attributing inequality to covariates. We ...

1 Centro de Investigación y Docencia Económicas (CIDE), División de Economı́a, Carretera México-Toluca 3655 Col. Lomas de Santa Fe, Delegación Álvaro Obregón, México 01210, Mexico 2 Center for Research in Econometric Analysis of Time Series (CREATES) and Department of Economics and Business, Aarhus University, Fuglesangs Allé 4, Building 2622 (203), Aarhus V 8210, Denmark; E-Mail: vrodriguez@cre...

In most macroeconomic models, the stability of the solution path implies that the system is covariancestationary and hence admits a Wold representation. The ability to estimate this Wold representation semi-parametrically by local projections (Jordà, 2005), even when the process for the solution path is unknown or unconventional, can be exploited to estimate the model’s parameters by minimum di...

The primary objective of this paper is threefold. First, to take a retrospective view of Mis-Specification (M-S) testing, going back to Karl Pearson (1900). Second, to critically discuss several arguments questioning the value and role of M-S testing. Instead, they favor relying on weak, but non-testable probabilistic assumptions, combined with invoking asymptotic results and vague robustness c...

Population dynamics with regard to evolution of traits has typically been studied using matrix projection models (MPMs). Recently, to work with continuous traits, integral projection models (IPMs) have been proposed. Imitating the path with MPMs, IPMs are handled first with a fitting stage, then with a projection stage. Fitting these models has so far been done only with individual-level transi...

BACKGROUND Large-scale public health interventions with rapid scale-up are increasingly being implemented worldwide. Such implementation allows for a large target population to be reached in a short period of time. But when the time comes to investigate the effectiveness of these interventions, the rapid scale-up creates several methodological challenges, such as the lack of baseline data and t...

Rift Valley fever (RVF) is a zoonotic and vector-borne disease, mainly present in Africa, which represents a threat to human health, animal health and production. South Africa has experienced three major RVF epidemics (1950-51, 1973-75 and 2008-11). Due to data scarcity, no previous study has quantified risk factors associated with RVF epidemics in animals in South Africa. Using the 2008-11 epi...

The interpretation of dummy variables in regressions where the dependent variable is subject to a log transformation has been of continuing interest in economics. However, in the main, these earlier papers do not deal with the inferential aspects of the parameters estimated. In this paper we compare the inference implied by the hypotheses tested on the linear parameter estimated in the model an...

In this paper we deal with the issue of performing accurate small-sample inference in the Birnbaum– Saunders regression model, which can be useful for modeling lifetime or reliability data. We derive a Bartlett-type correction for the score test and numerically compare the corrected test with the usual score test, the likelihood ratio test and its Bartlett-corrected version. Our simulation resu...

Nonparametric estimation of a structural cointegrating regression model is studied. As in the standard linear cointegrating regression model, the regressor and the dependent variable are jointly dependent and contemporaneously correlated. In nonparametric estimation problems, joint dependence is known to be a major complication that affects identification, induces bias in conventional kernel es...