Many empirical questions in economics and other social sciences depend on causal effects
of programs or policies. In the last two decades, much research has been done on the …

Propensity score matching (PSM) has become a popular approach to estimate causal
treatment effects. It is widely applied when evaluating labour market policies, but empirical …

Financial resources are crucial to green transformation, while how to release the vitality of
green innovation in transition economies through financial reform pilots in the context of …

Climate change is set to be particularly disruptive in poor agricultural communities. We
assess the factors influencing farmers' choice of climate change adaptation practices and …

Using data from Mexico's 2016 National Household Income and Expenditure Survey
(ENIGH), we estimate the impact of Internet access on the multidimensional and income …

Smallholder farmers in developing countries are often encouraged to get organized into
cooperatives mainly to overcome production and marketing constraints that usually hinder …

Objectives To model the steps involved in preparing for and carrying out propensity score
analyses by providing step‐by‐step guidance and Stata code applied to an empirical …

Abstract Low Birth Weight (LBW) is considered as a major public health issue and leading
cause of neonatal death. Almost one in four newborns are reported as underweight in …

Millions of families across the United States are evicted each year. Yet, we know next to
nothing about the impact eviction has on their lives. Focusing on low-income urban mothers …

There is a large theoretical literature on methods for estimating causal effects under
unconfoundedness, exogeneity, or selection-on-observables type assumptions using …