Weak Identification with Bounds in a Class of Minimum Distance Models
When parameters are weakly identified, bounds on the parameters may provide a valuable source of information. Existing weak identification estimation and inference results are unable to combine weak identification with bounds. Within a class of minimum distance models, this paper proposes identification-robust inference that incorporates information from bounds when parameters are weakly identified. The inference is based on limit theory that combines weak identification theory with parameter-on-the-boundary theory. This paper demonstrates the role of the bounds and identification-robust inference in two example factor models. This paper also demonstrates the identification-robust inference in an empirical application, a factor model for parental investments in children.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Bounds of the sum of edge lengths in linear arrangements of trees
A fundamental problem in network science is the normalization of the topological or physical distance between vertices, that requires understanding the range of variation of the unnormalized distances. Here we investigat…
Evaluating the Impact of Regulatory Policies on Social Welfare in Difference-in-Difference Settings
Quantifying the impact of regulatory policies on social welfare generally requires the identification of counterfactual distributions. Many of these policies (e.g. minimum wages or minimum working time) generate mass poi…
counterfactualInformativenessA Novel Minimum Divergence Approach to Robust Speaker Identification
In this work, a novel solution to the speaker identification problem is proposed through minimization of statistical divergences between the probability distribution (g). of feature vectors from the test utterance and th…
General ClassificationSpeaker IdentificationOptimal Weak to Strong Learning
The classic algorithm AdaBoost allows to convert a weak learner, that is an algorithm that produces a hypothesis which is slightly better than chance, into a strong learner, achieving arbitrarily high accuracy when given…
Generalization BoundsAn identification and testing strategy for proxy-SVARs with weak proxies
When proxies (external instruments) used to identify target structural shocks are weak, inference in proxy-SVARs (SVAR-IVs) is nonstandard and the construction of asymptotically valid confidence sets for the impulse resp…
valid