Cookies?
Library Header Image
LSE Research Online LSE Library Services

Items where Author is "Komarova, Tatiana"

Up a level
Export as [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
Group by: Item Type | No Grouping
Number of items: 16.

Article

Komarova, Tatiana ORCID: 0000-0002-6581-5097 and Hidalgo, Javier (2023) Testing nonparametric shape restrictions. Annals of Statistics, 51 (6). 2299 - 2317. ISSN 0090-5364

Gentry, Matthew, Komarova, Tatiana ORCID: 0000-0002-6581-5097 and Schiraldi, Pasquale ORCID: 0000-0003-2469-1734 (2023) Preferences and performance in simultaneous first-price auctions: a structural analysis. Review of Economic Studies, 90 (2). 852 – 878. ISSN 0034-6527

Hotz, V. Joseph, Komarova, Tatiana ORCID: 0000-0002-6581-5097, Bollinger, Christopher R., Manski, Charles F., Moffitt, Robert A., Nekipelov, Denis, Sojourner, Aaron and Spencer, Bruce D. (2022) Balancing data privacy and usability in the federal statistical system. Proceedings of the National Academy of Sciences of the United States of America, 119 (31). ISSN 1091-6490

Gentry, Matthew, Komarova, Tatiana ORCID: 0000-0002-6581-5097, Schiraldi, Pasquale ORCID: 0000-0003-2469-1734 and Shin, Wiroy (2019) On monotone strategy equilibria in simultaneous auctions for complementary goods. Journal of Mathematical Economics, 85. pp. 109-128. ISSN 0304-4068

Komarova, Tatiana ORCID: 0000-0002-6581-5097, Sanches, Fábio Adriano, Silva Junior, Daniel and Srisuma, Sorawoot (2018) Joint analysis of the discount factor and payoff parameters in dynamic discrete choice games. Quantitative Economics, 9 (3). pp. 1153-1194. ISSN 1759-7323

Komarova, Tatiana ORCID: 0000-0002-6581-5097, Nekipelov, Denis and Yakovlev, Evgeny (2018) Identification, data combination and the risk of disclosure. Quantitative Economics, 9 (1). pp. 395-440. ISSN 1759-7323

Komarova, Tatiana ORCID: 0000-0002-6581-5097, Nekipelov, Denis, Al Rafi, Ahnaf and Yakovlev, Evgeny (2017) K-anonymity: a note on the trade-off between data utility and data security. Applied Econometrics.

Komarova, Tatiana ORCID: 0000-0002-6581-5097 (2017) Extremum sieve estimation in k-out-of-n system. Communications in Statistics - Theory and Methods, 46 (10). pp. 4915-4931. ISSN 0361-0926

Komarova, Tatiana ORCID: 0000-0002-6581-5097 (2013) Binary choice models with discrete regressors: identification and misspecification. Journal of Econometrics, 177 (1). pp. 14-33. ISSN 0304-4076

Komarova, Tatiana ORCID: 0000-0002-6581-5097 (2013) A new approach to identifying generalized competing risks models with application to second-price auctions. Quantitative Economics, 4 (2). pp. 269-328. ISSN 1759-7323

Komarova, Tatiana ORCID: 0000-0002-6581-5097 (2013) Partial identification in asymmetric auctions in the absence of independence. Econometrics Journal, 16 (1). S60-S92. ISSN 1368-4221

Komarova, Tatiana ORCID: 0000-0002-6581-5097, Severini, Thomas A. and Tamer, Elie T. (2012) Quantile uncorrelation and instrumental regressions. Journal of Econometric Methods, 1 (1). pp. 2-14. ISSN 2156-6674

Monograph

Komarova, Tatiana ORCID: 0000-0002-6581-5097 (2013) Extremum sieve estimation in k-out-of-n systems. Econometrics (EM/2013/564). Suntory and Toyota International Centres for Economics and Related Disciplines, London, UK.

Komarova, Tatiana ORCID: 0000-0002-6581-5097, Severini, Thomas and Tamer, Elie (2010) Quantile uncorrelation and instrumental regression. Econometrics Discussion Papers (EM/2010/552). Suntory and Toyota International Centres for Economics and Related Disciplines, London, UK.

Conference or Workshop Item

Komarova, Tatiana ORCID: 0000-0002-6581-5097 (2009) Nonparametric identification in asymmetric second-price auctions: a new approach. In: Econ 370 Econometrics Seminar Series, 2009-09-23, California, United States, USA. (Submitted)

Komarova, Tatiana ORCID: 0000-0002-6581-5097 (2008) Binary choice models with discrete regressors: identification and misspecification. In: Nuffield Econometric/INET Seminar Series, 2008-10-17, Oxford, United Kingdom, GBR. (Submitted)

This list was generated on Thu Nov 21 06:16:18 2024 GMT.