The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Moment Inequalities and Their Application
Open accessAbstract
This paper provides conditions under which the inequality constraints generated by either single agent optimizing behavior or the best response condition of multiple agent problems can be used as a basis for estimation and inference. An application illustrates how the use of these inequality constraints can simplify the analysis of complex behavioral models.
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Cites
Partial Identification of Probability Distributions
(2003) · Springer Series in Statistics · doi:10.1007/b97478 · Cited by 698
Cited by
Recent Developments in the Econometrics of Program Evaluation
Imbens, G. W., & Wooldridge, J. M. (2009) · Journal of Economic Literature · doi:10.1257/jel.47.1.5 · Cited by 4,926
The Welfare Effects of Bundling in Multichannel Television Markets
Crawford, G. S., & Yurukoglu, A. (2012) · American Economic Review · doi:10.1257/aer.102.2.643 · Cited by 448
The Diffusion of Wal-Mart and Economies of Density
(2011) · Econometrica · doi:10.3982/ecta7699 · Cited by 445
Constrained Optimization Approaches to Estimation of Structural Models
(2012) · Econometrica · doi:10.3982/ecta7925 · Cited by 365
The Industrial Organization of Health-Care Markets
Gaynor, M., Ho, K., & Town, R. J. (2015) · Journal of Economic Literature · doi:10.1257/jel.53.2.235 · Cited by 349
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Metadata
- Authors
- Pakes, A., Porter, J., Ho, K., & Ishii, J.
- Venue
- Econometrica
- Publisher
- The Econometric Society
- Published
- 2015-01
- Volume
- 83
- Issue
- 1
- Pages
- 315-334
- ISSN
- 0012-9682 (ISSN-L)
- OpenAlex
- W2135787192
- Cited by
- 323
- References
- 1
- FWCI
- 27.74
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.