James L. Powell : Citation Profile


Are you James L. Powell?

University of Arizona

26

H index

34

i10 index

5396

Citations

RESEARCH PRODUCTION:

34

Articles

32

Papers

2

Chapters

EDITOR:

4

Books edited

RESEARCH ACTIVITY:

   40 years (1981 - 2021). See details.
   Cites by year: 134
   Journals where James L. Powell has often published
   Relations with other researchers
   Recent citing documents: 278.    Total self citations: 24 (0.44 %)

MORE DETAILS IN:
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   Permalink: http://citec.repec.org/ppo728
   Updated: 2024-12-03    RAS profile: 2023-07-06    
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Relations with other researchers


Works with:

Graham, Bryan (3)

Authors registered in RePEc who have co-authored more than one work in the last five years with James L. Powell.

Is cited by:

Chernozhukov, Victor (142)

Lewbel, Arthur (97)

LINTON, OLIVER (89)

Fernandez-Val, Ivan (79)

Ichimura, Hidehiko (63)

Chen, Xiaohong (62)

Blundell, Richard (62)

Jochmans, Koen (61)

Lee, Sokbae (Simon) (56)

Härdle, Wolfgang (51)

Heckman, James (44)

Cites to:

Newey, Whitney (36)

Chernozhukov, Victor (18)

Chen, Xiaohong (17)

Hansen, Lars (16)

Hahn, Jinyong (15)

Turnovsky, Stephen J (14)

Heckman, James (13)

Blundell, Richard (11)

Manski, Charles (11)

Imbens, Guido (11)

Vytlacil, Edward (9)

Main data


Where James L. Powell has published?


Journals with more than one article published# docs
Journal of Econometrics15
Econometrica7
Economics Letters2
Econometric Theory2
Journal of Business & Economic Statistics2
Journal of Economic Perspectives2

Working Papers Series with more than one paper published# docs
CeMMAP working papers / Centre for Microdata Methods and Practice, Institute for Fiscal Studies6
CeMMAP working papers / Institute for Fiscal Studies5
NBER Working Papers / National Bureau of Economic Research, Inc4
SSRI Workshop Series / University of Wisconsin-Madison, Social Systems Research Institute3
Papers / arXiv.org3

Recent works citing James L. Powell (2024 and 2023)


YearTitle of citing document
2024Identifying Multidiemsnional Adverse Selection Models. (2015). Aryal, Gaurab. In: Papers. RePEc:arx:papers:1411.6250.

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2023Nonparametric Estimation and Identification in Non-Separable Models Using Panel Data. (2018). Deaner, Ben. In: Papers. RePEc:arx:papers:1810.00283.

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2023Distribution Regression with Sample Selection, with an Application to Wage Decompositions in the UK. (2019). Chernozhukov, Victor ; Luo, Siyi ; Fern, Iv'An. In: Papers. RePEc:arx:papers:1811.11603.

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2023Double Debiased Machine Learning Nonparametric Inference with Continuous Treatments. (2020). Lee, Ying-Ying ; Colangelo, Kyle. In: Papers. RePEc:arx:papers:2004.03036.

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2024Powerful Inference. (2020). Lee, Sokbae (Simon) ; Seo, Myung Hwan ; Chen, Xiaohong. In: Papers. RePEc:arx:papers:2008.11140.

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2024Conditional quantile estimators: A small sample theory. (2020). Gafarov, Bulat ; Franguridi, Grigory ; Wuthrich, Kaspar. In: Papers. RePEc:arx:papers:2011.03073.

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2023Functional Principal Component Analysis of Cointegrated Functional Time Series. (2020). Seo, Won-Ki. In: Papers. RePEc:arx:papers:2011.12781.

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2023The Variational Method of Moments. (2020). Kallus, Nathan ; Bennett, Andrew. In: Papers. RePEc:arx:papers:2012.09422.

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2023Kernel Methods for Unobserved Confounding: Negative Controls, Proxies, and Instruments. (2020). Singh, Rahul. In: Papers. RePEc:arx:papers:2012.10315.

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2024Adversarial Estimation of Riesz Representers. (2020). Syrgkanis, Vasilis ; Singh, Rahul ; Newey, Whitney ; Chernozhukov, Victor. In: Papers. RePEc:arx:papers:2101.00009.

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2023Better Bunching, Nicer Notching. (2021). Bertanha, Marinho ; Seegert, Nathan ; McCallum, Andrew H. In: Papers. RePEc:arx:papers:2101.01170.

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2023Are Bartik Regressions Always Robust to Heterogeneous Treatment Effects?. (2021). Lei, Ziteng ; de Chaisemartin, Cl'Ement. In: Papers. RePEc:arx:papers:2103.06437.

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2024Analytic and Bootstrap-after-Cross-Validation Methods for Selecting Penalty Parameters of High-Dimensional M-Estimators. (2021). Sorensen, Jesper Riis-Vestergaard ; Chetverikov, Denis. In: Papers. RePEc:arx:papers:2104.04716.

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2024Identification and Estimation of Average Partial Effects in Semiparametric Binary Response Panel Models. (2021). Poirier, Alexandre ; Shiu, Ji-Liang ; Liu, Laura. In: Papers. RePEc:arx:papers:2105.12891.

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2024Causal Inference with Corrupted Data: Measurement Error, Missing Values, Discretization, and Differential Privacy. (2021). Singh, Rahul ; Agarwal, Anish. In: Papers. RePEc:arx:papers:2107.02780.

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2023Inference on Individual Treatment Effects in Nonseparable Triangular Models. (2021). Yu, Zhengfei ; Marmer, Vadim. In: Papers. RePEc:arx:papers:2107.05559.

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2023Partial Identification and Inference for the Conditional Distribution of Treatment Effects. (2021). Lee, Sungwon. In: Papers. RePEc:arx:papers:2108.00723.

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2024Multiway empirical likelihood. (2021). Otsu, Taisuke ; Matsushita, Yukitoshi ; Chiang, Harold D. In: Papers. RePEc:arx:papers:2108.04852.

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2024Estimations of the Conditional Tail Average Treatment Effect. (2021). Yen, Yu-Min ; Chen, Le-Yu. In: Papers. RePEc:arx:papers:2109.08793.

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2023Estimating High Dimensional Monotone Index Models by Iterative Convex Optimization1. (2021). Tamer, Elie ; Lan, Xiaoying ; Khan, Shakeeb. In: Papers. RePEc:arx:papers:2110.04388.

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2024A Finite Sample Theorem for Longitudinal Causal Inference with Machine Learning: Long Term, Dynamic, and Mediated Effects. (2021). Singh, Rahul. In: Papers. RePEc:arx:papers:2112.14249.

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2024Binary response model with many weak instruments. (2022). Seong, Dakyung. In: Papers. RePEc:arx:papers:2201.04811.

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2024Difference-in-Differences Estimators for Treatments Continuously Distributed at Every Period. (2022). Pasquier, F'Elix ; D'Haultfoeuille, Xavier ; de Chaisemartin, Cl'Ement ; Vazquez-Bare, Gonzalo. In: Papers. RePEc:arx:papers:2201.06898.

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2024Selection and parallel trends. (2022). Ghanem, Dalia ; Wuthrich, Kaspar. In: Papers. RePEc:arx:papers:2203.09001.

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2023Controlling for Latent Confounding with Triple Proxies. (2022). Deaner, Ben. In: Papers. RePEc:arx:papers:2204.13815.

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2023Debiased Semiparametric U-Statistics: Machine Learning Inference on Inequality of Opportunity. (2022). Terschuur, Joel Robert ; Escanciano, Juan Carlos. In: Papers. RePEc:arx:papers:2206.05235.

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2024Semiparametric Single-Index Estimation for Average Treatment Effects. (2022). Oka, Tatsushi ; Gao, Jiti ; Huang, Difang. In: Papers. RePEc:arx:papers:2206.08503.

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2023Testing for error invariance in separable instrumental variable models. (2022). van Keilegom, Ingrid ; VanKeilegom, Ingrid ; Lapenta, Elia ; FLORENS, Jean-Pierre ; Beyhum, Jad. In: Papers. RePEc:arx:papers:2208.05344.

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2023Robust Tests of Model Incompleteness in the Presence of Nuisance Parameters. (2022). Kaido, Hiroaki ; Chen, Shuowen. In: Papers. RePEc:arx:papers:2208.11281.

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2023A risk measurement approach from risk-averse stochastic optimization of score functions. (2022). Moresco, Marlon Ruoso ; Muller, Fernanda Maria ; Righi, Marcelo Brutti. In: Papers. RePEc:arx:papers:2208.14809.

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2023Instrumental variable quantile regression under random right censoring. (2022). van Keilegom, Ingrid ; VanKeilegom, Ingrid ; Tedesco, Lorenzo ; Beyhum, Jad. In: Papers. RePEc:arx:papers:2209.01429.

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2023Causal Bandits: Online Decision-Making in Endogenous Settings. (2022). Singh, Amandeep ; Chen, Yifang ; Zhang, Jingwen. In: Papers. RePEc:arx:papers:2211.08649.

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2023Identification of time-varying counterfactual parameters in nonlinear panel models. (2022). Muris, Chris ; Botosaru, Irene. In: Papers. RePEc:arx:papers:2212.09193.

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2023Partly Linear Instrumental Variables Regressions without Smoothing on the Instruments. (2022). Lapenta, Elia ; Florens, Jean-Pierre. In: Papers. RePEc:arx:papers:2212.11012.

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2023A Bootstrap Specification Test for Semiparametric Models with Generated Regressors. (2022). Lapenta, Elia. In: Papers. RePEc:arx:papers:2212.11112.

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2024The limitations of comonotonic additive risk measures: a literature review. (2022). de Oliveira, Eduardo ; Righi, Marcelo Brutti ; Santos, Samuel Solgon. In: Papers. RePEc:arx:papers:2212.13864.

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2024Higher-order Refinements of Small Bandwidth Asymptotics for Density-Weighted Average Derivative Estimators. (2022). Masini, Ricardo ; Jansson, Michael ; Farrell, Max H ; Cattaneo, Matias D. In: Papers. RePEc:arx:papers:2301.00277.

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2023Relaxing Instrument Exclusion with Common Confounders. (2023). Tien, Christian. In: Papers. RePEc:arx:papers:2301.02052.

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2023Stable Probability Weighting: Large-Sample and Finite-Sample Estimation and Inference Methods for Heterogeneous Causal Effects of Multivalued Treatments Under Limited Overlap. (2023). Karapakula, Ganesh. In: Papers. RePEc:arx:papers:2301.05703.

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2023Noisy, Non-Smooth, Non-Convex Estimation of Moment Condition Models. (2023). Forneron, Jean-Jacques. In: Papers. RePEc:arx:papers:2301.07196.

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2023An MCMC Approach to Classical Estimation. (2023). Chernozhukov, Victor ; Hong, Han. In: Papers. RePEc:arx:papers:2301.07782.

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2024Expectile hidden Markov regression models for analyzing cryptocurrency returns. (2023). Petrella, Lea ; Merlo, Luca ; Foroni, Beatrice. In: Papers. RePEc:arx:papers:2301.09722.

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2023Automatic Locally Robust Estimation with Generated Regressors. (2023). , Telmo ; Escanciano, Juan Carlos. In: Papers. RePEc:arx:papers:2301.10643.

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2023Conditional generalized quantiles based on expected utility model and equivalent characterization of properties. (2023). Zhang, Ping ; Yang, Fan ; Wu, Qinyu. In: Papers. RePEc:arx:papers:2301.12420.

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2023Factor Model of Mixtures. (2023). Uryasev, Stanislav ; Peng, Cheng. In: Papers. RePEc:arx:papers:2301.13843.

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2023On semiparametric estimation of the intercept of the sample selection model: a kernel approach. (2023). Pan, Zhewen. In: Papers. RePEc:arx:papers:2302.05089.

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2023Minimax Instrumental Variable Regression and $L_2$ Convergence Guarantees without Identification or Closedness. (2023). Newey, Whitney ; Mao, Xiaojie ; Kallus, Nathan ; Bennett, Andrew ; Uehara, Masatoshi ; Syrgkanis, Vasilis. In: Papers. RePEc:arx:papers:2302.05404.

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2023Elicitability of Return Risk Measures. (2023). Laeven, Roger ; Bellini, Fabio ; Aygun, Mucahit. In: Papers. RePEc:arx:papers:2302.13070.

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2023Censored Quantile Regression with Many Controls. (2023). Hong, Seoyun. In: Papers. RePEc:arx:papers:2303.02784.

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2023Counterfactual Copula and Its Application to the Effects of College Education on Intergenerational Mobility. (2023). Su, Jiun-Hua ; Lai, Tsung-Chih. In: Papers. RePEc:arx:papers:2303.06658.

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2023Dont (fully) exclude me, its not necessary! Identification with semi-IVs. (2023). Bruneel-Zupanc, Christophe. In: Papers. RePEc:arx:papers:2303.12667.

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2024The Elasticity of Quantitative Investment. (2023). Davis, Carter. In: Papers. RePEc:arx:papers:2303.14533.

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2023Robust optimized certainty equivalents and quantiles for loss positions with distribution uncertainty. (2023). Tian, Dejian ; Li, Weiwei. In: Papers. RePEc:arx:papers:2304.04396.

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2023The Ordinary Least Eigenvalues Estimator. (2023). Sassi, Yassine Sbai. In: Papers. RePEc:arx:papers:2304.12554.

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2023Difference-in-Differences with Compositional Changes. (2023). Xu, QI. In: Papers. RePEc:arx:papers:2304.13925.

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2024Transfer Estimates for Causal Effects across Heterogeneous Sites. (2023). Menzel, Konrad. In: Papers. RePEc:arx:papers:2305.01435.

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2023A Policy Gradient Method for Confounded POMDPs. (2023). Xu, Yanxun ; Qi, Zhengling ; Hong, Mao. In: Papers. RePEc:arx:papers:2305.17083.

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2023Modeling and evaluating conditional quantile dynamics in VaR forecasts. (2023). Gallo, Giampiero ; Palandri, Alessandro ; Cipollini, Fabrizio. In: Papers. RePEc:arx:papers:2305.20067.

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2023Generalised Covariances and Correlations. (2023). Pohle, Marc-Oliver ; Fissler, Tobias. In: Papers. RePEc:arx:papers:2307.03594.

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2023Synthetic Decomposition for Counterfactual Predictions. (2023). Song, Kyungchul ; Canen, Nathan. In: Papers. RePEc:arx:papers:2307.05122.

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2023Quantile and expectile copula-based hidden Markov regression models for the analysis of the cryptocurrency market. (2023). Petrella, Lea ; Merlo, Luca ; Foroni, Beatrice. In: Papers. RePEc:arx:papers:2307.06400.

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2023Source Condition Double Robust Inference on Functionals of Inverse Problems. (2023). Uehara, Masatoshi ; Syrgkanis, Vasilis ; Newey, Whitney ; Mao, Xiaojie ; Kallus, Nathan ; Bennett, Andrew. In: Papers. RePEc:arx:papers:2307.13793.

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2023Using Probabilistic Stated Preference Analyses to Understand Actual Choices. (2023). Meango, Romuald. In: Papers. RePEc:arx:papers:2307.13966.

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2024One-step nonparametric instrumental regression using smoothing splines. (2023). Lavergne, Pascal ; Lapenta, Elia ; Beyhum, Jad. In: Papers. RePEc:arx:papers:2307.14867.

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2023Identification and Estimation of Demand Models with Endogenous Product Entry and Exit. (2023). Aguirregabiria, Victor ; Sokullu, Senay ; Iaria, Alessandro. In: Papers. RePEc:arx:papers:2308.14196.

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2023Kernel-Based Stochastic Learning of Large-Scale Semiparametric Monotone Index Models with an Application to Aging and Household Risk Preference. (2023). Yao, Qingsong. In: Papers. RePEc:arx:papers:2309.06693.

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2024Bounds on Average Effects in Discrete Choice Panel Data Models. (2023). Weidner, Martin ; Pakel, Cavit. In: Papers. RePEc:arx:papers:2309.09299.

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2023Estimation and Testing of Forecast Rationality with Many Moments. (2023). Wang, Tao ; Lee, Tae-Hwy. In: Papers. RePEc:arx:papers:2309.09481.

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2024Identification and Estimation of a Semiparametric Logit Model using Network Data. (2023). Gueyap, Brice Romuald. In: Papers. RePEc:arx:papers:2310.07151.

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2024Uniform Inference for Nonlinear Endogenous Treatment Effects with High-Dimensional Covariates. (2023). Zhang, Cun-Hui ; Mei, Ziwei ; Guo, Zijian ; Fan, Qingliang. In: Papers. RePEc:arx:papers:2310.08063.

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2023Smoothed instrumental variables quantile regression. (2023). Kaplan, David. In: Papers. RePEc:arx:papers:2310.09013.

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2024Estimating Individual Responses when Tomorrow Matters. (2023). Denis, Angela ; Bonhomme, Stephane. In: Papers. RePEc:arx:papers:2310.09105.

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2024Trimmed Mean Group Estimation of Average Treatment Effects in Ultra Short T Panels under Correlated Heterogeneity. (2023). Pesaran, Mohammad ; Yang, Liying. In: Papers. RePEc:arx:papers:2310.11680.

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2024Optimal Transport Divergences induced by Scoring Functions. (2023). Vanduffel, Steven ; Pesenti, Silvana M. In: Papers. RePEc:arx:papers:2311.12183.

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2024Causal Models for Longitudinal and Panel Data: A Survey. (2023). Imbens, Guido ; Arkhangelsky, Dmitry. In: Papers. RePEc:arx:papers:2311.15458.

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2023Tail Risk and Systemic Risk Estimation of Cryptocurrencies: an Expectiles and Marginal Expected Shortfall based approach. (2023). Teruzzi, Andrea. In: Papers. RePEc:arx:papers:2311.17239.

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2024Monotonic mean-deviation risk measures. (2023). Wang, Ruodu ; Han, Xia ; Wu, Qinyu. In: Papers. RePEc:arx:papers:2312.01034.

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2023A Theory Guide to Using Control Functions to Instrument Hazard Models. (2023). Liu, William. In: Papers. RePEc:arx:papers:2312.03165.

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2023A return-diversification approach to portfolio selection. (2023). Giacometti, Rosella ; Cesarone, Francesco ; Tardella, Fabio ; Martino, Manuel Luis. In: Papers. RePEc:arx:papers:2312.09707.

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2024Higher order measures of risk and stochastic dominance. (2024). Pichler, Alois. In: Papers. RePEc:arx:papers:2402.15387.

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2024Context-dependent Causality (the Non-Nonotonic Case). (2024). Kim, Moshe ; Billfeld, Nir. In: Papers. RePEc:arx:papers:2404.05021.

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2024Elicitability and identifiability of tail risk measures. (2024). Wei, Linxiao ; Wang, Ruodu ; Liu, Fangda ; Fissler, Tobias. In: Papers. RePEc:arx:papers:2404.14136.

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2024Duet expectile preferences. (2024). Wu, Qinyu ; Wang, Ruodu ; Mao, Tiantian ; Bellini, Fabio. In: Papers. RePEc:arx:papers:2404.17751.

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2024Value-at-Risk- and Expectile-based Systemic Risk Measures and Second-order Asymptotics: With Applications to Diversification. (2024). Zhao, Yimiao ; Liu, Yang ; Geng, Bingzhen. In: Papers. RePEc:arx:papers:2404.18029.

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2024A quantile-based nonadditive fixed effects model. (2024). Liu, Xin. In: Papers. RePEc:arx:papers:2405.03826.

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2024Two-way Fixed Effects and Differences-in-Differences Estimators in Heterogeneous Adoption Designs. (2024). D'Haultfoeuille, Xavier ; de Chaisemartin, Cl'Ement. In: Papers. RePEc:arx:papers:2405.04465.

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2023.

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2023.

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2023Bayesian multiple index models for environmental mixtures. (2023). Coull, Brent A ; Webster, Thomas F ; Wilson, Ander ; McGee, Glen. In: Biometrics. RePEc:bla:biomet:v:79:y:2023:i:1:p:462-474.

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2023Double reduction estimation and equilibrium tests in natural autopolyploid populations. (2023). Gerard, David. In: Biometrics. RePEc:bla:biomet:v:79:y:2023:i:3:p:2143-2156.

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More than 100 citations found, this list is not complete...

James L. Powell has edited the books:


YearTitleTypeCited

Works by James L. Powell:


YearTitleTypeCited
1990Semiparametric Estimation of Selection Models: Some Empirical Results. In: American Economic Review.
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article165
1990SEMIPARAMETRIC ESTIMATION OF SELECTION MODELS: SOME EMPIRICAL RESULTS..(1990) In: Working papers.
[Citation analysis]
This paper has nother version. Agregated cites: 165
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2001Semiparametric Censored Regression Models In: Journal of Economic Perspectives.
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article80
2017Identification and Asymptotic Approximations: Three Examples of Progress in Econometric Theory In: Journal of Economic Perspectives.
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article2
1986Two-Step Quantile Estimation Of The Censored Regression Model In: SSRI Workshop Series.
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paper13
1986Semiparametric Identification And Estimation Of Polynomial Errors-In-Variables Models In: SSRI Workshop Series.
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paper0
1987Semiparametric Estimation Of Bivariate Latent Variable Models In: SSRI Workshop Series.
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paper57
2019Penalized Sieve GEL for Weighted Average Derivatives of Nonparametric Quantile IV Regressions In: Papers.
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paper2
2019Penalized sieve GEL for weighted average derivatives of nonparametric quantile IV regressions.(2019) In: Journal of Econometrics.
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This paper has nother version. Agregated cites: 2
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2019Kernel Density Estimation for Undirected Dyadic Data In: Papers.
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paper11
2019Kernel density estimation for undirected dyadic data.(2019) In: CeMMAP working papers.
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2021Minimax Risk and Uniform Convergence Rates for Nonparametric Dyadic Regression In: Papers.
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paper3
2021Minimax Risk and Uniform Convergence Rates for Nonparametric Dyadic Regression.(2021) In: NBER Working Papers.
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1988ESTIMATION OF MONOTONIC REGRESSION MODELS UNDER QUANTILE RESTRICTIONS In: Working papers.
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paper0
1990SEMIPARAMETRIC ESTIMATION OF CENSORED SELECTION MODELS WITH A NONPARAMETRIC SELECTION MECHANISM. In: Working papers.
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paper354
1993Semiparametric estimation of censored selection models with a nonparametric selection mechanism.(1993) In: Journal of Econometrics.
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2001Endogeneity in semiparametric binary response models.(2001) In: CeMMAP working papers.
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2004Endogeneity in Semiparametric Binary Response Models.(2004) In: The Review of Economic Studies.
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2017Instrumental variables estimation for nonparametric models.(2017) In: CeMMAP working papers.
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2001Endogeneity in nonparametric and semiparametric regression models.(2001) In: CeMMAP working papers.
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2015Quantile regression with panel data.(2015) In: CeMMAP working papers.
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2015Quantile Regression with Panel Data.(2015) In: NBER Working Papers.
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2018A quantile correlated random coefficients panel data model.(2018) In: Journal of Econometrics.
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2016A quantile correlated random coefficients panel data model.(2016) In: CeMMAP working papers.
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2007THE ET INTERVIEW: TAKESHI AMEMIYA: Interviewed by James L. Powell In: Econometric Theory.
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article0
1990Efficient Estimation of Linear and Type I Censored Regression Models Under Conditional Quantile Restrictions In: Econometric Theory.
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article54
1983The Asymptotic Normality of Two-Stage Least Absolute Deviations Estimators. In: Econometrica.
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article84
1986Symmetrically Trimmed Least Squares Estimation for Tobit Models. In: Econometrica.
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