Taisuke Otsu

Professor of Econometrics
Department of Economics
London School of Economics and Political Science
t.otsu@lse.ac.uk

About Me

I am a Professor of Econometrics at the London School of Economics and Political Science. Previously, I served as an Assistant Professor and later an Associate Professor at Yale University from 2004 to 2012. I received my PhD in Economics from the University of Wisconsin–Madison in 2004 under the supervision of Bruce E. Hansen.

Published Papers

  1. Conditional likelihood ratio test with many weak instruments (with Sreevidya Ayyar and Yukitoshi Matsushita), forthcoming in Econometric Theory.
  2. Isotonic propensity score matching (with Mengshan Xu), forthcoming in Econometric Theory.
  3. Subjective beliefs estimators and their properties (with Anisha Ghosh), forthcoming in Review of Finance.
  4. Specification testing for binary choice model via maximum score (with Yuta Ota), forthcoming in Economics Letters.
  5. Empirical likelihood for manifolds (with Daisuke Kurisu), Journal of the Royal Statistical Society, Series B (2026), 88, 91–119.
  6. Nonparametric causal inference with functional covariates (with Daisuke Kurisu and Mengshan Xu), Journal of Business & Economic Statistics (2026), 44, 53–66.
  7. Regression discontinuity design with potentially many covariates (with Yoichi Arai and Myung Hwan Seo), Econometric Theory (2025), 41, 1416–1451.
  8. Subsampling inference for extremal conditional quantiles (with Daisuke Kurisu), Econometric Theory (2025), 41, 326–340.
  9. Model averaging for global Fréchet regression (with Daisuke Kurisu), Journal of Multivariate Analysis (2025), 207, 105416.
  10. Inference in the presence of unknown rates (with Hao Dong and Luke Taylor), Econometric Reviews (2025), 44, 587–597.
  11. Multiway empirical likelihood (with Harold Chiang and Yukitoshi Matsushita), Journal of Econometrics (2025), 249, 105861.
  12. GLS under monotone heteroskedasticity (with Yoichi Arai and Mengshan Xu), Journal of Econometrics (2024), 246, 105899.
  13. Empirical likelihood for network data (with Yukitoshi Matsushita), Journal of the American Statistical Association (2024), 119, 2117–2128.
  14. A jackknife Lagrange multiplier test with many weak instruments (with Yukithoshi Matsushita), Econometric Theory (2024), 40, 447–470.
  15. On large market asymptotics for spatial price competition models (with Keita Sunada), Economics Letters (2024), 234, 111468.
  16. Reweighted nonparametric likelihood inference for linear functionals (with Karun Adusumilli and Chen Qiu), Electronic Journal of Statistics (2023), 17, 2810–2848.
  17. Empirical likelihood inference for monotone index model (with Mengshan Xu and Keisuke Takahata), Japanese Journal of Statistics and Data Science (2023), 6, 103–114.
  18. Bandwidth selection for nonparametric regression with errors-in-variables (with Hao Dong and Luke Taylor), Econometric Reviews (2023), 42, 393–419.
  19. Equilibrium multiplicity in dynamic games: testing and estimation (with Martin Pesendorfer), Econometrics Journal (2023), 26, C26–C42.
  20. Estimating density ratio of marginals to joint: applications to causal inference (with Yukitoshi Matsushita and Keisuke Takahata), Journal of Business & Economic Statistics (2023), 41, 467–481.
  21. Second-order refinements for t-ratios with many instruments (with Yukithoshi Matsushita), Journal of Econometrics (2023), 232, 346–366.
  22. Nonparametric estimation of additive model with errors-in-variables (with Hao Dong), Econometric Reviews (2022), 41, 1164–1204.
  23. Empirical likelihood inference for Oaxaca-Blinder decomposition (with Shiori Tanaka), Economics Letters (2022), 219, 110812.
  24. Estimation of (static or dynamic) games under equilibrium multiplicity (with Martin Pesendorfer, Yuya Sasaki and Yuya Takahashi), International Economic Review (2022), 63, 1165–1188.
  25. Estimation of varying coefficient models with measurement error (with Hao Dong and Luke Taylor), Journal of Econometrics (2022), 230, 388–415.
  26. On linearization of nonparametric deconvolution estimators for repeated measurements model (with Daisuke Kurisu), Journal of Multivariate Analysis (2022), 189, 104921.
  27. On the uniform convergence of deconvolution estimators from repeated measurements (with Daisuke Kurisu), Econometric Theory (2022), 38, 172–193.
  28. Inference on conditional moment restriction models with generated variables (with Ryo Kimoto), Economics Letters (2022), 215, 110454.
  29. Inference on incomplete information games with multi-dimensional actions (with Hideyuki Tomiyama), Economics Letters (2022), 215, 110440.
  30. Information theoretic approach to high dimensional multiplicative models: stochastic discount factor and treatment effect (with Chen Qiu), Quantitative Economics (2022), 13, 63–94.
  31. Relative error accurate statistic based on nonparametric likelihood (with Lorenzo Camponovo and Yukitoshi Matsushita), Econometric Theory (2021), 37, 1214–1237.
  32. Average derivative estimation under measurement error (with Hao Dong and Luke Taylor), Econometric Theory (2021), 37, 1004–1033.
  33. Sample sensitivity for two-step and continuous updating GMM (with Rikuto Onishi), Economics Letters (2021), 198, 109685.
  34. Specification testing for errors-in-variables models (with Luke Taylor), Econometric Theory (2021), 37, 747–768.
  35. Jackknife empirical likelihood: small bandwidth, sparse network and high-dimensional asymptotics (with Yukitoshi Matsushita), Biometrika (2021), 108, 661–674.
  36. Kolmogorov-Smirnov type test for generated variables (with Go Taniguchi), Economics Letters (2020), 195, 109401.
  37. Conditional GMM estimation for gravity models (with Masaya Nishihata), Economics Bulletin (2020), 40, 1106–1111.
  38. Score estimation of monotone partially linear index model (with Mengshan Xu), Journal of Nonparametric Statistics (2020), 32, 838–863.
  39. Inference on distribution functions under measurement error (with Karun Adusumilli, Daisuke Kurisu and Yoon-Jae Whang), Journal of Econometrics (2020), 215, 131–164.
  40. Likelihood inference on semiparametric models with generated regressors (with Yukitoshi Matsushita), Econometric Theory (2020), 36, 626–657.
  41. Empirical likelihood for high frequency data (with Lorenzo Camponovo and Yukitoshi Matsushita), Journal of Business & Economic Statistics (2020), 38, 621–632.
  42. Likelihood corrections for two-way models (with Koen Jochmans), Annals of Economics and Statistics (2019), 134, 227–242.
  43. Estimation of nonseparable models with censored dependent variables and endogenous regressors (with Luke Taylor), Econometric Reviews (2019), 38, 4–24.
  44. Nonparametric instrumental regression with errors in variables (with Karun Adusumilli), Econometric Theory (2018), 34, 1256–1280.
  45. Likelihood inference on semiparametric models: average derivative and treatment effect (with Yukitoshi Matsushita), Japanese Economic Review (2018), 69, 133–155.
  46. Local M-estimation with discontinuous criterion for dependent and limited observations (with Myung Hwan Seo), Annals of Statistics (2018), 46, 344–369.
  47. Bootstrap inference of matching estimators for average treatment effects (with Yoshiyasu Rai), Journal of the American Statistical Association (2017), 112, 1720–1732.
  48. Empirical likelihood for random sets (with Karun Adusumilli), Journal of the American Statistical Association (2017), 112, 1064–1075.
  49. Pooling data across markets in dynamic Markov games (with Martin Pesendorfer and Yuya Takahashi), Quantitative Economics (2016), 7, 523–559.
  50. Robustness of bootstrap in instrumental variable regression (with Lorenzo Camponovo), Econometric Reviews (2015), 34, 352–393.
  51. Empirical likelihood for regression discontinuity design (with Ke-Li Xu and Yukitoshi Matsushita), Journal of Econometrics (2015), 186, 94–112.
  52. On Bartlett correctability of empirical likelihood in generalized power divergence family (with Lorenzo Camponovo), Statistics & Probability Letters (2014), 86, 38–43.
  53. Estimation and inference of discontinuity in density (with Ke-Li Xu and Yukitoshi Matsushita), Journal of Business & Economic Statistics (2013), 31, 507–524.
  54. Robustness, infinitesimal neighborhoods, and moment restrictions (with Yuichi Kitamura and Kirill Evdokimov), Econometrica (2013), 81, 1185–1201.
  55. On testability of complementarity in models with multiple equilibria (with Yoshiyasu Rai), Economics Letters (2013), 120, 79–82.
  56. Second-order refinement of empirical likelihood for testing overidentifying restrictions (with Yukitoshi Matsushita), Econometric Theory (2013), 29, 324–353.
  57. A simple test for identification in GMM under conditional moment restrictions (with Francesco Bravo and Juan Carlos Escanciano), Advances in Econometrics (2012), 29, 455–477.
  58. Large deviations of realized volatility (with Shin Kanaya), Stochastic Processes and Their Applications (2012), 122, 546–581.
  59. Breakdown point theory for implied probability bootstrap (with Lorenzo Camponovo), Econometrics Journal (2012), 15, 32–55.
  60. Hodges-Lehmann optimality for testing moment condition models (with Ivan Canay), Journal of Econometrics (2012), 171, 45–53.
  61. Optimal comparison of misspecified unconditional moment restriction models under a chosen measure of fit (with Vadim Marmer), Journal of Econometrics (2012), 170, 538–550.
  62. Local GMM estimation of time series models with conditional moment restrictions (with Nikolay Gospodinov), Journal of Econometrics (2012), 170, 476–490.
  63. Testing for non-nested conditional moment restrictions using unconditional empirical likelihood (with Myung Hwan Seo and Yoon-Jae Whang), Journal of Econometrics (2012), 167, 370–382.
  64. Estimating derivatives in nonseparable models with limited dependent variables (with Joseph Altonji and Hidehiko Ichimura), Econometrica (2012), 80, 1701–1719.
  65. Empirical likelihood for nonparametric additive models, Journal of the Japan Statistical Society (2011), 41, 159–186.
  66. Moderate deviations of generalized method of moments and empirical likelihood estimators, Journal of Multivariate Analysis (2011), 102, 1203–1216.
  67. Large deviations of generalized method of moments and empirical likelihood estimators, Econometrics Journal (2011), 14, 321–329.
  68. Testing for nonnested conditional moment restrictions via conditional empirical likelihood (with Yoon-Jae Whang), Econometric Theory (2011), 27, 114–153.
  69. Empirical likelihood estimation of conditional moment restriction models with unknown functions, Econometric Theory (2011), 27, 8–46.
  70. On Bahadur efficiency of empirical likelihood, Journal of Econometrics (2010), 157, 248–256.
  71. RESET for quantile Regression, TEST (2009), 18, 381–391.
  72. Generalized Neyman-Pearson optimality of empirical likelihood for testing parameter hypotheses, Annals of the Institute of Statistical Mathematics (2009), 61, 773–787.
  73. Large deviation asymptotics for statistical treatment rules, Economics Letters (2008), 101, 53–56.
  74. Optimal experimental design criterion for discriminating semiparametric models, Journal of Statistical Planning and Inference (2008), 138, 4141–4150.
  75. Conditional empirical likelihood estimation and inference for quantile regression models, Journal of Econometrics (2008), 142, 508–538.
  76. Penalized empirical likelihood estimation of semiparametric models, Journal of Multivariate Analysis (2007), 98, 1923–1954.
  77. Generalized empirical likelihood inference for nonlinear and time series models under weak identification, Econometric Theory (2006), 22, 513–527.

Working Papers

  1. Robust estimation of moment condition models with weakly dependent data (with Kirill Evdokimov and Yuichi Kitamura), revise and resubmit for Journal of Econometrics.
  2. Panel data with high-dimensional factors with application to peer-effects analysis in networks (with Yike Wang), revise and resubmit for Journal of Econometrics.
  3. Graph neural networks: theory for estimation with application on network heterogeneity (with Chris Gu and Yike Wang), revise and resubmit for Journal of Econometrics.
  4. Regression discontinuity designs for functional data and random objects in geodesic spaces (with Daisuke Kurisu, Yidong Zhou and Hans-Georg Müller), revise and resubmit for Journal of the Royal Statistical Society, Series B.
  5. Optimal testing in a class of nonregular models (with Yuya Shimizu), revise and resubmit for Econometric Theory.
  6. Geodesic difference-in-differences (with Daisuke Kurisu, Yidong Zhou and Hans-Georg Müller), revise and resubmit for Biometrika.
  7. Optimal covariate selection and higher-order accurate inference for randomized experiments (with Yukitoshi Matsushita), revise and resubmit for Quantitative Economics.
  8. Regression adjustment in randomized controlled trials with many covariates (with Harold Chiang and Yukitoshi Matsushita)
  9. Causal inference on regression discontinuity designs by high-dimensional methods (with Yoichi Arai and Myung Hwan Seo)
  10. Geodesic causal inference (with Daisuke Kurisu, Yidong Zhou and Hans-Georg Müller)
  11. Conduct in soft drink market: a mechanism design approach (with Martin Pesendorfer)
  12. Geodesic synthetic control methods for random objects and functional data (with Daisuke Kurisu, Yidong Zhou and Hans-Georg Müller)
  13. Cross-fitted instrumental variable estimation with many instruments and many included exogenous regressors (with Yukitoshi Matsushita)
  14. Semiparametric and nonparametric instrumental variable estimation with first stage isotonic regression (with Kazuhiko Shinoda and Mengshan Xu)
  15. Causal inference with auxiliary observations (with Yuta Ota and Takahiro Hoshino)
  16. Applications of cross-fit variance estimator for testing model specification, overidentification, and structural parameter hypotheses (with Yukitoshi Matsushita and Keita Sunada)
  17. Random sets from the perspective of metric statistics (with Daisuke Kurisu and Yuta Okamoto)
  18. Empirical likelihood for random forests and ensembles (with Harold Chiang and Yukitoshi Matsushita)
  19. Difference-in-differences with interval data (with Daisuke Kurisu and Yuta Okamoto)
  20. GMM under finite-population asymptotics: instrumental variables and regression adjustment (with Haruo Kakehi and Yukitoshi Matsushita)
  21. Lee bounds for random objects (with Daisuke Kurisu and Yuta Okamoto)

Book Review

Translation Work