A moment inequality approach to statistical inference for rankings
Author:
Publisher
Springer Science and Business Media LLC
Subject
Economics and Econometrics
Link
https://link.springer.com/content/pdf/10.1007/s42973-020-00068-2.pdf
Reference15 articles.
1. Alvo, M., & Yu, P. L. H. (2014). Statistical methods for ranking data. Berlin: Springer.
2. Bontemps, C., & Magnac, T. (2017). Set identification, moment restrictions, and inference. Annual Review of Economics, 9, 103–129.
3. Canay, Ivan A., & Shaikh, Azeem M. (2017). Practical and theoretical advances in inference for partially identified models. In B. Honoré, A. Pakes, M. Piazzesi, & L. Samuelson (Eds.), Advances in economics and econometrics: Eleventh world congress. Econometric society monographs (Vol. 2, pp. 271–306). Cambridge: Cambridge University Press. https://doi.org/10.1017/9781108227223.009.
4. Chernozhukov, V., Chetverikov, D., & Kato, K. (2019). Inference on causal and structural parameters using many moment inequalities. The Review of Economic Studies, 86(5), 1867–1900.
5. Ciliberto, F., & Tamer, E. (2009). Market structure and multiple equilibria in airline markets. Econometrica, 77(6), 1791–1828.
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