GENERALIZED EMPIRICAL LIKELIHOOD INFERENCE FOR NONLINEAR AND TIME SERIES MODELS UNDER WEAK IDENTIFICATION
By Taisuke Otsu. Econometric Theory, 2006
59 citations recorded by the source corpus.
Subfields: Economics and Econometrics
View Paper: https://www.semanticscholar.org/paper/a9956a0ff961931b7cd09fe337dee0321fd383ed
How researchers see this paper
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In Economics and Econometrics
- Isaiah Andrews
- Sophocles Mavroeidis
- Patrik Guggenberger
- F. Kleibergen
- Linchun Chen
- James H. Stock
- Eric Zivot
- Saraswata Chaudhuri
Citations in the corpus
- On the asymptotic sizes of subset Anderson-Rubin and Lagrange multiplier tests in linear instrumental variables regression (2012, background): “…structural parameters by consistently estimated counterparts; see Stock and Wright (2000), Kleibergen (2004, 2005), Guggenberger and Smith (2005), Otsu (2006), and Guggenberger, Ramalho, and Smith (2012), among others, for such adaptations of the AR, LM, and CLR tests to subset testing.”
- ON THE ASYMPTOTIC SIZE DISTORTION OF TESTS WHEN INSTRUMENTS LOCALLY VIOLATE THE EXOGENEITY ASSUMPTION (2011, unknown): “Additional GEL variations of LM tests are discussed in Otsu (2006).”
- Conditional Linear Combination Tests for Weakly Identified Models (2016, background): “…for linear IV, Stock and Wright (2000) for GMM, Magnusson and Mavroeidis (2010) for minimum distance models, and Ramalho and Smith (2004), Guggenberger and Smith (2005), Otsu (2006), Guggenberger and Smith (2008), and Guggenberger et al. (2012) for generalized empirical likelihood (GEL) models.”