In linear econometric models with proportional selection on unobservables, omitted variable bias in estimated treatment effects are roots of a cubic equation involving estimated parameters from a short and intermediate regression, the former excluding and the latter including all observable...

In a recent contribution, Oster (2019) has proposed a method to generate bounds on treatment effects in the presence of unobservable confounders. The method can only be implemented if a crucial problem of non-uniqueness is addressed. In this paper I demonstrate that one of the proposed methods...

This book presents the main economic argument developed by Marx in the three volumes of Capital in a coherent and comprehensive manner. The first part presents the main economic argument contained in the Capital in a coherent and comprehensive manner. It also delves into three long-standing...

Building on a recently developed methodology for sensitivity analysis that parametrizes omitted variable bias in terms of partial R2 measures, I propose a simple statistic to capture the severity of omitted variable bias in any observational study: the probability of omitted variable bias...

Recent developments in the theory of production networks offer interesting applications and revival of input-output analysis. Some recent papers have studied the propagation of a temporary, negative shock through an input-output network. Such analyses of shock propagation relies on...