Taisuke Otsu

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All published works

Action	Title	Year	Authors
+	REGRESSION DISCONTINUITY DESIGN WITH POTENTIALLY MANY COVARIATES	2025	Yoichi Arai Taisuke Otsu Myung Hwan Seo
+	Model averaging for global Fréchet regression	2025	Daisuke Kurisu Taisuke Otsu
+	Inference in the presence of unknown rates	2024	Hao Dong Taisuke Otsu Luke Taylor
+	GLS under monotone heteroskedasticity	2024	Yoichi Arai Taisuke Otsu Mengshan Xu
+	Multiway empirical likelihood	2024	Harold D. Chiang Yukitoshi Matsushita Taisuke Otsu
+ PDF Chat	Geodesic Causal Inference	2024	Daisuke Kurisu Yidong Zhou Taisuke Otsu Hans‐Georg Müller
+ PDF Chat	Optimal testing in a class of nonregular models	2024	Yuya Shimizu Taisuke Otsu
+ PDF Chat	Graph Neural Networks: Theory for Estimation with Application on Network Heterogeneity	2024	Yike Wang Chris Gu Taisuke Otsu
+ PDF Chat	Regression Adjustment in Randomized Controlled Trials with Many Covariates	2024	Harold D. Chiang Yukitoshi Matsushita Taisuke Otsu
+	Empirical Likelihood for Network Data	2023	Yukitoshi Matsushita Taisuke Otsu
+ PDF Chat	Bandwidth selection for nonparametric regression with errors-in-variables	2023	Hao Dong Taisuke Otsu Luke Taylor
+ PDF Chat	Empirical likelihood inference for monotone index model	2023	Taisuke Otsu Keisuke Takahata Mengshan Xu
+ PDF Chat	Reweighted nonparametric likelihood inference for linear functionals	2023	Karun Adusumilli Taisuke Otsu Chen Qiu
+	Regression adjustment in randomized controlled trials with many covariates	2023	Harold D. Chiang Yukitoshi Matsushita Taisuke Otsu
+ PDF Chat	A JACKKNIFE LAGRANGE MULTIPLIER TEST WITH MANY WEAK INSTRUMENTS	2022	Yukitoshi Matsushita Taisuke Otsu
+ PDF Chat	Nonparametric estimation of additive models with errors-in-variables	2022	Hao Dong Taisuke Otsu Luke Taylor
+ PDF Chat	Empirical likelihood inference for Oaxaca–Blinder decomposition	2022	Taisuke Otsu Shiori Tanaka
+ PDF Chat	Inference on conditional moment restriction models with generated variables	2022	Ryo Kimoto Taisuke Otsu
+	Estimating Density Ratio of Marginals to Joint: Applications to Causal Inference	2022	Yukitoshi Matsushita Taisuke Otsu Keisuke Takahata
+ PDF Chat	Information theoretic approach to high‐dimensional multiplicative models: Stochastic discount factor and treatment effect	2022	Chen Qiu Taisuke Otsu
+	Isotonic propensity score matching	2022	Mengshan Xu Taisuke Otsu
+	Conditional Likelihood Ratio Test with Many Weak Instruments	2022	Sreevidya Ayyar Yukitoshi Matsushita Taisuke Otsu
+	GLS Under Monotone Heteroskedasticity	2022	Yoichi Arai Taisuke Otsu Mengshan Xu
+ PDF Chat	On linearization of nonparametric deconvolution estimators for repeated measurements model	2021	Daisuke Kurisu Taisuke Otsu
+	Nonparametric inference for extremal conditional quantiles	2021	Daisuke Kurisu Taisuke Otsu
+ PDF Chat	Second-order refinements for <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e1780" altimg="si498.svg"><mml:mi>t</mml:mi></mml:math>-ratios with many instruments	2021	Yukitoshi Matsushita Taisuke Otsu
+ PDF Chat	RELATIVE ERROR ACCURATE STATISTIC BASED ON NONPARAMETRIC LIKELIHOOD	2021	Lorenzo Camponovo Yukitoshi Matsushita Taisuke Otsu
+ PDF Chat	ON THE UNIFORM CONVERGENCE OF DECONVOLUTION ESTIMATORS FROM REPEATED MEASUREMENTS	2021	Daisuke Kurisu Taisuke Otsu
+	Multiway empirical likelihood	2021	Harold D. Chiang Yukitoshi Matsushita Taisuke Otsu
+	Regression Discontinuity Design with Potentially Many Covariates	2021	Yoichi Arai Taisuke Otsu Myung Hwan Seo
+	Multiway empirical likelihood	2021	Harold D. Chiang Yukitoshi Matsushita Taisuke Otsu
+ PDF Chat	AVERAGE DERIVATIVE ESTIMATION UNDER MEASUREMENT ERROR	2020	Hao Dong Taisuke Otsu Luke Taylor
+ PDF Chat	Score estimation of monotone partially linear index model	2020	Mengshan Xu Taisuke Otsu
+ PDF Chat	Jackknife empirical likelihood: small bandwidth, sparse network and high-dimensional asymptotics	2020	Yukitoshi Matsushita Taisuke Otsu
+ PDF Chat	SPECIFICATION TESTING FOR ERRORS-IN-VARIABLES MODELS	2020	Taisuke Otsu Luke Taylor
+	Inference on distribution functions under measurement error	2020	Karun Adusumilli Daisies Kurisu Taisuke Otsu Yoon‐Jae Whang
+	On Gaussian Approximation for M-Estimator	2020	Masaaki Imaizumi Taisuke Otsu
+ PDF Chat	LIKELIHOOD INFERENCE ON SEMIPARAMETRIC MODELS WITH GENERATED REGRESSORS	2019	Yukitoshi Matsushita Taisuke Otsu
+ PDF Chat	Inference on distribution functions under measurement error	2019	Karun Adusumilli Daisuke Kurisu Taisuke Otsu Yoon–Jae Whang
+	Jackknife, small bandwidth and high-dimensional asymptotics	2019	Yukitoshi Matsushita Taisuke Otsu
+	On the uniform convergence of deconvolution estimators from repeated measurements	2019	Daisuke Kurisu Taisuke Otsu
+	Score estimation of monotone partially linear index model	2019	Taisuke Otsu Mengshan Xu
+	Average derivative estimation under measurement error	2019	Hao Dong Taisuke Otsu Luke Taylor
+ PDF Chat	Empirical likelihood for high frequency data	2019	Lorenzo Camponovo Yukitoshi Matsushita Taisuke Otsu
+	On the uniform convergence of deconvolution estimators from repeated measurements	2019	Daisuke Kurisu Taisuke Otsu
+	Score estimation of monotone partially linear index model	2019	Mengshan Xu Taisuke Otsu
+	Average derivative estimation under measurement error	2019	Hao Dong Taisuke Otsu Luke Taylor
+	Jackknife, small bandwidth and high-dimensional asymptotics	2019	Yukitoshi Matsushita Taisuke Otsu
+	Estimation of Varying Coefficient Models with Measurement Error	2019	Hao Dong Taisuke Otsu Luke Taylor
+	Nonparametric Estimation of Additive Model with Errors-in-Variables	2018	Hao Dong Taisuke Otsu
+	Likelihood ratio inference for missing data models	2018	Karun Adusumilli Taisuke Otsu
+	Likelihood inference on semiparametric models: average derivative and treatment effect	2018	Yukitoshi Matsushita Taisuke Otsu
+ PDF Chat	NONPARAMETRIC INSTRUMENTAL REGRESSION WITH ERRORS IN VARIABLES	2018	Karun Adusumilli Taisuke Otsu
+ PDF Chat	Local M-estimation with discontinuous criterion for dependent and limited observations	2018	Myung Hwan Seo Taisuke Otsu
+	Relative Error Accurate Statistic Based on Nonparametric Likelihood	2018	Lorenzo Camponovo Taisuke Otsu
+	Nonparametric Estimation of Additive Model with Errors-in-Variables	2018	Hao Dong Taisuke Otsu
+	Likelihood Corrections for Two-way Models	2018	Koen Jochmans Taisuke Otsu
+ PDF Chat	Likelihood Inference on Semiparametric Models: Average Derivative and Treatment Effect	2017	Yukitoshi Matsushita Taisuke Otsu
+	Relative error accurate statistic based on nonparametric likelihood	2017	Lorenzo Camponovo Taisuke Otsu
+	Local M-estimation with discontinuous criterion for dependent and limited observations	2016	Myung Hwan Seo Taisuke Otsu
+ PDF Chat	Bootstrap Inference of Matching Estimators for Average Treatment Effects	2016	Taisuke Otsu Yoshiyasu Rai
+ PDF Chat	Estimation of nonseparable models with censored dependent variables and endogenous regressors	2016	Luke Taylor Taisuke Otsu
+	Likelihood inference on semiparametric models with generated regressors	2016	Yukitoshi Matsushita Taisuke Otsu
+	Specification testing for errors-in-variables models	2016	Taisuke Otsu Luke Taylor
+ PDF Chat	Empirical Likelihood for Random Sets	2016	Karun Adusumilli Taisuke Otsu
+	Local M-estimation with discontinuous criterion for dependent and limited observations	2016	Myung Hwan Seo Taisuke Otsu
+	Likelihood inference on semiparametric models with generated regressors	2016	Yukitoshi Matsushita Taisuke Otsu
+	Specification testing for errors-in-variables models	2016	Taisuke Otsu Luke Taylor
+	Nonparametric instrumental regression with errors in variables	2015	Karun Adusumilli Taisuke Otsu
+	Bootstrap inference of matching estimators for average treatment effects	2015	Taisuke Otsu Yoshiyasu Rai
+	Nonparametric instrumental regression with errors in variables	2015	Karun Adusumilli Taisuke Otsu
+	Bootstrap inference of matching estimators for average treatment effects	2015	Taisuke Otsu Yoshiyasu Rai
+	ROBUST ESTIMATION OF MOMENT CONDITION MODELS WITH WEAKLY DEPENDENT DATA	2014	Kirill Evdokimov Yuichi Kitamura Taisuke Otsu
+	Estimation of Nonseparable Models with Censored Dependent Variables and Endogenous Regressors	2014	Taisuke Otsu Luke Taylor
+ PDF Chat	Robustness of Bootstrap in Instrumental Variable Regression	2014	Lorenzo Camponovo Taisuke Otsu
+ PDF Chat	Empirical likelihood for regression discontinuity design	2014	Taisuke Otsu Ke-Li Xu Yukitoshi Matsushita
+	Empirical Likelihood for Regression Discontinuity Design	2014	Taisuke Otsu Ke‐Li Xu
+ PDF Chat	On Bartlett correctability of empirical likelihood in generalized power divergence family	2013	Lorenzo Camponovo Taisuke Otsu
+ PDF Chat	Estimation and Inference of Discontinuity in Density	2013	Taisuke Otsu Ke-Li Xu Yukitoshi Matsushita
+	Corrigendum to “Large deviations of realized volatility” [Stochastic Process. Appl. 122 (2012) 546–581]	2012	Shin Kanaya Taisuke Otsu
+	SECOND-ORDER REFINEMENT OF EMPIRICAL LIKELIHOOD FOR TESTING OVERIDENTIFYING RESTRICTIONS	2012	Yukitoshi Matsushita Taisuke Otsu
+	Hodges–Lehmann optimality for testing moment conditions	2012	Ivan A. Canay Taisuke Otsu
+ PDF Chat	Optimal comparison of misspecified moment restriction models under a chosen measure of fit	2012	Vadim Marmer Taisuke Otsu
+	Breakdown point theory for implied probability bootstrap	2012	Lorenzo Camponovo Taisuke Otsu
+	Sample Attrition in the Presence of Population Attrition	2012	Seik Kim Debopam Bhattacharya Keisuke Hirano Taisuke Otsu
+ PDF Chat	Second-Order Refinement of Empirical Likelihood for Testing Overidentifying Restrictions	2012	Yukitoshi Matsushita Taisuke Otsu
+ PDF Chat	Empirical Likelihood for Nonparametric Additive Models	2012	Taisuke Otsu
+	Breakdown point theory for implied probability bootstrap	2012	Lorenzo Camponovo Taisuke Otsu
+	Second-order Refinement of Empirical Likelihood for Testing Overidentifying Restrictions	2012	Yukitoshi Matsushita Taisuke Otsu
+ PDF Chat	Estimating Derivatives in Nonseparable Models With Limited Dependent Variables	2012	Joseph G. Altonji Hidehiko Ichimura Taisuke Otsu
+ PDF Chat	Testing for non-nested conditional moment restrictions using unconditional empirical likelihood	2011	Taisuke Otsu Myung Hwan Seo Yoon–Jae Whang
+	On Bartlett Correctability of Empirical Likelihood in Generalized ï¿½Power Divergence Family	2011	Lorenzo Camponovo Taisuke Otsu
+	Large deviations of generalized method of moments and empirical likelihood estimators	2011	Taisuke Otsu
+	Moderate deviations of generalized method of moments and empirical likelihood estimators	2011	Taisuke Otsu
+	Empirical Likelihood for Nonparametric Additive Models	2011	Taisuke Otsu
+	Hodges-Lehmann Optimality for Testing Moment	2011	Ivan A. Canay Taisuke Otsu
+ PDF Chat	Empirical Likelihood for Nonparametric Additive Models	2011	Taisuke Otsu
+ PDF Chat	Empirical Likelihood for Regression Discontinuity Design	2011	Taisuke Otsu Ke‐Li Xu
+	Large Deviations of Generalized Method of Moments and Empirical Likelihood Estimators	2011	Taisuke Otsu
+ PDF Chat	Estimating Derivatives in Nonseparable Models with Limited Dependent Variables	2011	Joseph G. Altonji Hidehiko Ichimura Taisuke Otsu
+	Hodges-Lehmann Optimality for Testing Moment Conditions	2011	Ivan A. Canay Taisuke Otsu
+ PDF Chat	Moderate Deviations of Generalized Method of Moments and Empirical Likelihood Estimators	2011	Taisuke Otsu
+ PDF Chat	On Bartlett Correctability of Empirical Likelihood in Generalized Power Divergence Family	2011	Lorenzo Camponovo Taisuke Otsu
+	EMPIRICAL LIKELIHOOD ESTIMATION OF CONDITIONAL MOMENT RESTRICTION MODELS WITH UNKNOWN FUNCTIONS	2010	Taisuke Otsu
+	TESTING FOR NONNESTED CONDITIONAL MOMENT RESTRICTIONS VIA CONDITIONAL EMPIRICAL LIKELIHOOD	2010	Taisuke Otsu Yoon Jae Whang
+	On Bahadur efficiency of empirical likelihood	2010	Taisuke Otsu
+	ROBUST INFERENCE UNDER MOMENT RESTRICTIONS	2010	Yuichi Kitamura Taisuke Otsu
+	Robustness, Infinitesimal Neighborhoods, and Moment Restrictions	2009	Yuichi Kitamura Taisuke Otsu Kirill Evdokimov
+ PDF Chat	Robustness, Infinitesimal Neighborhoods, and Moment Restrictions	2009	Yuichi Kitamura Taisuke Otsu Kirill Evdokimov
+	Estimating Derivatives in Nonseparable Models with Limited Dependent Variables	2008	Joseph G. Altonji Hidehiko Ichimura Taisuke Otsu
+	Testing for Non-Nested Conditional Moment Restrictions Using Unconditional Empirical Likelihood	2008	Taisuke Otsu Myung Hwan Seo Yoon‐Jae Whang
+ PDF Chat	Generalized Neyman–Pearson optimality of empirical likelihood for testing parameter hypotheses	2008	Taisuke Otsu
+	Large deviation asymptotics for statistical treatment rules	2008	Taisuke Otsu
+	Optimal experimental design criterion for discriminating semiparametric models	2008	Taisuke Otsu
+	RESET for quantile regression	2008	Taisuke Otsu
+	Optimal Comparison of Misspeci…ed Moment Restriction Models 1	2008	Vadim Marmer Taisuke Otsu
+	Conditional empirical likelihood estimation and inference for quantile regression models	2007	Taisuke Otsu
+	Penalized empirical likelihood estimation of semiparametric models	2007	Taisuke Otsu
+	MATRIX ALGEBRA, by Karim M. Abadir and Jan R. Magnus, Cambridge University Press, 2005	2006	Taisuke Otsu
+ PDF Chat	Testing Normality Against The Laplace Distribution	2005	Taisuke Otsu
+	Testing for Non-Nested Conditional Moment Restrictions Using Unconditional Empirical Likelihood	2005	Taisuke Otsu Myung Hwan Seo Yoon‐Jae Whang
+	Asymptotic Optimality of Empirical Likelihood for Selecting Moment Restrictions	2005	Taisuke Otsu
+	Effect of small-sample adjustments for Cox test under non-nested linear regression models	2004	Taisuke Otsu

Common Coauthors

Coauthor	Papers Together
Yukitoshi Matsushita	25
Luke Taylor	12
Lorenzo Camponovo	10
Hao Dong	9
Daisuke Kurisu	8
Karun Adusumilli	8
Myung Hwan Seo	8
Mengshan Xu	7
Harold D. Chiang	5
Yoichi Arai	4
Yuichi Kitamura	4
Ivan A. Canay	3
Yoshiyasu Rai	3
Yoon‐Jae Whang	3
Joseph G. Altonji	3
Kirill Evdokimov	3
Hidehiko Ichimura	3
Yoon-Jae Whang	2
Vadim Marmer	2
Ke‐Li Xu	2
Ke-Li Xu	2
Keisuke Takahata	2
Masaaki Imaizumi	1
Sreevidya Ayyar	1
Koen Jochmans	1
Yuya Shimizu	1
Seik Kim	1
Chen Qiu	1
Yidong Zhou	1
Yike Wang	1
Shin Kanaya	1
Yoon Jae Whang	1
Chen Qiu	1
Shiori Tanaka	1
Keisuke Hirano	1
Chris Gu	1
Hans‐Georg Müller	1
Ryo Kimoto	1
Debopam Bhattacharya	1
Daisies Kurisu	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Higher Order Properties of Gmm and Generalized Empirical Likelihood Estimators	2003	WhitneyK. Newey Richard J. Smith	31
+	Empirical likelihood ratio confidence intervals for a single functional	1988	Art B. Owen	30
+ PDF Chat	Empirical Likelihood and General Estimating Equations	1994	Qin Jin Jerry Lawless	25
+	Alternative Semi‐parametric Likelihood Approaches to Generalised Method of Moments Estimation	1997	Richard J. Smith	17
+	An Information-Theoretic Alternative to Generalized Method of Moments Estimation	1997	Yuichi Kitamura Michael J. Stutzer	14
+	Empirical Likelihood	2001	Art B. Owen	13
+	Multinomial Goodness-Of-Fit Tests	1984	Noel Cressie Timothy R. C. Read	13
+ PDF Chat	Extending the scope of empirical likelihood	2009	Nils Lid Hjort Ian W. McKeague Ingrid Van Keilegom	12
+ PDF Chat	Asymptotic Optimality of Empirical Likelihood for Testing Moment Restrictions	2001	Yuichi Kitamura	11
+ PDF Chat	Partially-Finite Programming in $L_1 $ and the Existence of Maximum Entropy Estimates	1993	Jonathan M. Borwein Adrian S. Lewis	11
+ PDF Chat	Point estimation with exponentially tilted empirical likelihood	2007	Susanne M. Schennach	11
+	Semiparametric Estimation of Index Coefficients	1989	James L. Powell James H. Stock Thomas M. Stoker	10
+ PDF Chat	Empirical Likelihood is Bartlett-Correctable	1991	Thomas J. DiCiccio Peter Hall Joseph P. Romano	10
+ PDF Chat	Empirical likelihood methods with weakly dependent processes	1997	Yuichi Kitamura	9
+	Weak Convergence and Empirical Processes	1996	Aad van der Vaart Jon A. Wellner	8
+	Large sample estimation and hypothesis testing	1986	Whitney K. Newey Daniel McFadden	8
+	Empirical Likelihood Methods in Econometrics: Theory and Practice	2008	Yuichi Kitamura	7
+	Empirical Likelihood-Based Inference in Conditional Moment Restriction Models	2004	Yuichi Kitamura Gautam Tripathi Hyungtaik Ahn	7
+	Deconvolution Problems in Nonparametric Statistics	2009	Alexander Meister	7
+	Empirical likelihood as a goodness-of-fit measure	1998	Keith Baggerly	7
+	Empirical likelihood estimation and consistent tests with conditional moment restrictions	2003	Stephen G. Donald Guido W. Imbens Whitney K. Newey	6
+	Nonparametric Estimation of the Measurement Error Model Using Multiple Indicators	1998	Tong Li Quang Vuong	6
+	Maximum Likelihood Estimation of Misspecified Models	1983	Halbert White	6
+ PDF Chat	A ridge-parameter approach to deconvolution	2007	Peter Hall Alexander Meister	6
+ PDF Chat	Testing conditional moment restrictions	2003	Gautam Tripathi Yuichi Kitamura	6
+	Generalized Likelihood Ratio Statistics and Wilks Phenomenon	2001	Jianqing Fan Chunming Zhang Jian Zhang	6
+	Empirical likelihood confidence intervals for local linear smoothers	2000	Song Xi Chen	6
+	Sieve Empirical Likelihood and Extensions of the Generalized Least Squares	2003	Jian Zhang Irène Gijbels	6
+	Bootstrap Critical Values for Tests Based on Generalized-Method-of-Moments Estimators	1996	Peter A. Hall Joël L. Horowitz	6
+ PDF Chat	Asymptotically Optimal Tests for Multinomial Distributions	1994	Wassily Hoeffding	6
+ PDF Chat	On deconvolution with repeated measurements	2008	Aurore Delaigle Peter Hall Alexander Meister	6
+ PDF Chat	On the Optimal Rates of Convergence for Nonparametric Deconvolution Problems	1991	Jianqing Fan	6
+	Generalized empirical likelihood non-nested tests	2002	Joaquim J.S. Ramalho Richard J. Smith	5
+ PDF Chat	Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score	2003	Keisuke Hirano Guido W. Imbens Geert Ridder	5
+	Asymptotic Statistics	1998	Aad van der Vaart	5
+ PDF Chat	Regression discontinuity designs: A guide to practice	2007	Guido W. Imbens Thomas Lemieux	5
+	Large Deviation and Other Results for Minimum Contrast Estimators	1998	Jens Ledet Jensen Andrew T. A. Wood	5
+	Methodology and Algorithms of Empirical Likelihood	1990	Peter Hall B. La Scala	5
+ PDF Chat	Nonparametric Regression with Errors in Variables	1993	Jianqing Fan Young K. Truong	5
+ PDF Chat	Two-step semiparametric empirical likelihood inference	2020	Francesco Bravo Juan Carlos Escanciano Ingrid Van Keilegom	5
+	On universal hypotheses testing via large deviations	1991	Ofer Zeitouni M. Gutman	5
+	Non-Nested Tests for Competing Models Estimated by Generalized Method of Moments	1992	Richard J. Smith	5
+	Empirical Likelihood Confidence Regions in a Partially Linear Single-Index Model	2006	Lixing Zhu Liugen Xue	5
+	Jackknife Empirical Likelihood	2009	Bing‐Yi Jing Junqing Yuan Wang Zhou	5
+ PDF Chat	Several Tests for Model Specification in the Presence of Alternative Hypotheses	1981	Russell Davidson James G. MacKinnon	5
+	Generalized Method of Moments	2020	Alastair R. Hall	5
+	Density deconvolution from repeated measurements without symmetry assumption on the errors	2015	Fabienne Comte Johanna Kappus	5
+	The Jackknife Estimate of Variance	1981	B. Efron C. Stein	5
+ PDF Chat	Likelihood Ratio Tests for Model Selection and Non-Nested Hypotheses	1989	Quang Vuong	5
+ PDF Chat	Smoothed Empirical Likelihood Confidence Intervals for Quantiles	1993	Song Xi Chen Peter Hall	5