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(2010, 'Structural Vector Autoregressions: Theory of Identification and Algorithms for Inference,' Review of Economic … sufficient for global identification. Analytical investigation of the counterexample clarifies why their sufficiency claim breaks … identifying information. We derive a modified necessary and sufficient condition for SVAR global identification and clarify how it …
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This paper studies semiparametric versions of the classical sample selection model (Heckman (1976, 1979)) without exclusion restrictions. We extend the analysis in Honor'e and Hu (2020) by allowing for parameter heterogeneity and derive implications of this model. We also consider models that...
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A large number of exact inferential procedures in statistics and econometrics involve the sampling distribution of ratios of random variables. If the denominator variable is positive, then tail probabilities of the ratio can be expressed as those of a suitably defined difference of random...
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