A new economic analysis has delivered strong evidence that the African Continental Free Trade Area (AfCFTA) is already reshaping trade patterns across the continent, with measurable gains in ...
Abstract: Treatment effect estimation from observational data is a fundamental problem in causal inference, and its critical challenge is to address the confounding bias arising from the confounders.
Nobel laureate Lars Peter Hansen, the David Rockefeller Distinguished Service Professor in Economics and Statistics at the University of Chicago, shared the Sveriges Riksbank Prize in Economic ...
Endogeneity presents a significant challenge in conducting causal inference in observational settings. Researchers in social sciences, statistics, and related fields have developed various ...
Reflection was essential to the advanced Java toolkit for years. Now it's being superseded by newer, safer options. Here's how to use MethodHandle and VarHandle to gain programmatic access to methods ...
ABSTRACT: This study assesses the effects of migrant remittances on inclusive growth in Africa. We applied the ordinary least squares method on a sample of 48 countries in Africa with daily data from ...
ABSTRACT: This article examines the effect of structural transformation on the growth of sub-Saharan African economies. Thus, from a sample of 46 countries observed over the period 1995-2020, we ...
In the article that accompanies this editorial, Lu et al 5 conducted a systematic review on the use of instrumental variable (IV) methods in oncology comparative effectiveness research. The main ...
Causal Inference in Oncology Comparative Effectiveness Research Using Observational Data: Are Instrumental Variables Underutilized? The following represents disclosure information provided by authors ...
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