Instrumental variables (IV) estimation addresses endogeneity arising when an explanatory variable correlates with the error term, biasing ordinary least squares (OLS ...
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.
\item How can we identify causal effects when we are in the presence of unobserved confounding? One popular way is to find and use \underline{\emph{\textbf{instrumental variables}}} ...
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 ...
Abstract: Existing online continuous-time parameter estimation laws provide exact (asymptotic/exponential or finite/fixed time) identification of dynamical linear ...
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: In the aftermath of the full-scale Russian invasion in Ukraine in 2022, the European political climate displays to fundamentally be transformed. The majority of European allies of NATO, ...
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