Average treatment effects estimands can present significant bias under the presence of outliers. Moreover, outliers can be particularly hard to detect, creating bias and inconsistency in the semi-parametric ATE estimands. In this paper, we use Monte Carlo simulations to demonstrate that...

This paper argues that exogenous changes in household income alter the allocation of time within the family. To examine this issue, we propose a theoretical framework that is an extension of the unitary model of intra-household time allocation where conditional cash transfers are received by the...

Outliers can be particularly hard to detect, creating bias and inconsistency in the semi-parametric estimates. In this paper, we use Monte Carlo simulations to demonstrate that semi-parametric methods, such as matching, are biased in the presence of outliers. Bad and good leverage point outliers...

Average treatment effects estimands can present significant bias under the presence of outliers. Moreover, outliers can be particularly hard to detect, creating bias and inconsistency in the semi-parametric ATE estimads. In this paper, we use Monte Carlo simulations to demonstrate that...

By reallocating aid to where it is needed most and where a productive use is most likely, donors could help alleviate poverty in developing countries. The rhetoric of donors suggests that this insight has increasingly shaped the allocation of aid. However, we find little evidence supporting the...

This paper examines the impact of severe wildfire events on Bolivia's poverty and labor market outcomes. We use a panel from 2005 to 2020 utilizing NASA's MODIS Collection-6 MCD64A1 burned area product and household surveys. To attain survey representativeness at a lower geographical level, we...