Maximum likelihood estimation and uniform inference with sporadic identification failure
DOI10.1016/j.jeconom.2012.10.003zbMath1443.62420OpenAlexW3123465478MaRDI QIDQ528166
Xu Cheng, Donald W. K. Andrews
Publication date: 12 May 2017
Published in: Journal of Econometrics (Search for Journal in Brave)
Full work available at URL: https://cowles.yale.edu/sites/default/files/files/pub/d18/d1824-a.pdf
likelihoodidentificationnonlinear modelsestimatorconfidence settestweak identificationbinary choiceasymptotic sizesmooth transition threshold autoregression
Applications of statistics to economics (62P20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Asymptotic distribution theory in statistics (62E20) Asymptotic properties of parametric tests (62F05)
Related Items (16)
Cites Work
- The zero-information-limit condition and spurious inference in weakly identified models
- A time series model for an exchange rate in a target zone with applications
- Asymptotic and finite sample distribution theory for IV estimators and tests in partially identified structural equations
- A matrix extension of the Cauchy-Schwarz inequality
- On geometric ergodicity of nonlinear autoregressive models
- Estimation and Inference With Weak, Semi-Strong, and Strong Identification
- Identification and Lack of Identification
- Some Further Results on the Exact Small Sample Properties of the Instrumental Variable Estimator
- Efficient GMM with nearly-weak instruments
- ASYMPTOTIC SIZE AND A PROBLEM WITH SUBSAMPLING AND WITH THE m OUT OF n BOOTSTRAP
- Testing, Estimation in GMM and CUE with Nearly-Weak Identification
- Testing linearity against smooth transition autoregressive models
- Hypothesis Testing When a Nuisance Parameter is Present Only Under the Alternative
- Instrumental Variables Regression with Weak Instruments
- Some Impossibility Theorems in Econometrics With Applications to Structural and Dynamic Models
- Sample Splitting and Threshold Estimation
- GMM with Weak Identification
- Specification, Estimation, and Evaluation of Smooth Transition Autoregressive Models
- Testing Parameters in GMM Without Assuming that They Are Identified
- A Conditional Likelihood Ratio Test for Structural Models
- Pivotal Statistics for Testing Structural Parameters in Instrumental Variables Regression
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