Arbeitspapier
Implementing intersection bounds in Stata
We present the clrbound, clr2bound, clr3bound, and clrtest com- mands for estimation and inference on intersection bounds as developed by Chernozhukov et al. (2013). The commands clrbound, clr2bound, and clr3bound provide bound estimates that can be used directly for estimation or to construct asymptotically valid confidence sets. The command clrbound provides bound estimates for one-sided lower or upper intersection bounds on a parameter, while clr2bound and clr3bound provide two-sided bound estimates based on both lower and upper intersection bounds. clr2bound uses Bonferroni's inequality to construct two-sided bounds, whereas clr3bound inverts a hypothesis test. The former can be used to perform asymptotically valid inference on the identified set or the parameter, while the latter can be used to provide asymptotically valid and generally tighter confidence intervals for the parameter. clrtest performs an intersection bound test of the hypothesis that a collection of lower intersection bounds is no greater than zero. Inversion of this test can be used to construct confidence sets based on conditional moment inequalities as described in Chernozhukov et al. (2013). The commands include parametric, series, and local linear estimation procedures, and can be installed from within Stata by typing \ssc install clrbound.
- Language
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Englisch
- Bibliographic citation
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Series: cemmap working paper ; No. CWP38/13
- Classification
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Wirtschaft
- Subject
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clr2bound
clrbound
clrtest
clr3bound
bound analysis
conditional moments
partial identification
infinite dimensional constraints
adaptive moment selection
- Event
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Geistige Schöpfung
- (who)
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Chernozhukov, Victor
Kim, Wooyoung
Lee, Sokbae
Rosen, Adam
- Event
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Veröffentlichung
- (who)
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Centre for Microdata Methods and Practice (cemmap)
- (where)
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London
- (when)
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2013
- DOI
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doi:10.1920/wp.cem.2013.3813
- Handle
- Last update
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10.03.2025, 11:42 AM CET
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Chernozhukov, Victor
- Kim, Wooyoung
- Lee, Sokbae
- Rosen, Adam
- Centre for Microdata Methods and Practice (cemmap)
Time of origin
- 2013
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Posterior inference in curved exponential families under increasing dimensions
On the computational complexity of MCMC-based estimators in large samples
Post-l1-penalized estimators in high-dimensional linear regression models
Quantile models with endogeneity
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Comparison and anti-concentration bounds for maxima of Gaussian random vectors
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Simultaneous inference for best linear predictor of the conditional average treatment effect and other structural functions
Posterior inference in curved exponential families under increasing dimensions
On the computational complexity of MCMC-based estimators in large samples
Post-l1-penalized estimators in high-dimensional linear regression models
Quantile models with endogeneity