Max H Farrell : Citation Profile

Are you Max H Farrell?

University of California-Santa Barbara (UCSB)

8

H index

8

i10 index

1132

Citations

RESEARCH PRODUCTION:

9

Articles

18

Papers

1

Chapters

RESEARCH ACTIVITY:

   13 years (2011 - 2024). See details.
   Cites by year: 87
   Journals where Max H Farrell has often published
   Relations with other researchers
   Recent citing documents: 332.    Total self citations: 14 (1.22 %)

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   Permalink: http://citec.repec.org/pfa702
   Updated: 2024-11-04    RAS profile: 2024-08-08    
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Relations with other researchers

Works with:

Cattaneo, Matias (16)

Crump, Richard (8)

Calonico, Sebastian (4)

Misra, Sanjog (2)

Authors registered in RePEc who have co-authored more than one work in the last five years with Max H Farrell.

Is cited by:

Chernozhukov, Victor (29)

Cattaneo, Matias (22)

Hansen, Christian (15)

Arai, Yoichi (13)

Jansson, Michael (13)

Ventura, Marco (12)

Knaus, Michael (12)

Newey, Whitney (12)

Puhani, Patrick (10)

Roesel, Felix (10)

Bartalotti, Otavio (10)

Cites to:

Cattaneo, Matias (41)

Imbens, Guido (20)

Jansson, Michael (18)

Chernozhukov, Victor (18)

Newey, Whitney (16)

Calonico, Sebastian (14)

Crump, Richard (13)

Ichimura, Hidehiko (9)

Titiunik, Rocio (9)

Wooldridge, Jeffrey (8)

Chetty, Raj (6)

Main data

Where Max H Farrell has published?

Journals with more than one article published# docs
Journal of Econometrics2
The Review of Economics and Statistics2

Working Papers Series with more than one paper published# docs
Papers / arXiv.org15
Staff Reports / Federal Reserve Bank of New York3

Recent works citing Max H Farrell (2024 and 2023)

YearTitle of citing document
2023Government Turnover and External Financial Assistance. (2023). Felipe, Carozzi ; Andres, Gago ; Jose, Abad ; Vicente, Bermejo. In: Asociación Argentina de Economía Política: Working Papers. RePEc:aep:anales:4655.

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2023Taxation and labour supply decisions: an evaluation of the earned income tax credit in Italy. (2023). Acciari, Paolo ; Villamaina, Luca. In: Working Papers. RePEc:ahg:wpaper:wp2023-20.

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2023The Role of the Propensity Score in Fixed Effect Models. (2019). Arkhangelsky, Dmitry ; Imbens, Guido. In: Papers. RePEc:arx:papers:1807.02099.

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2023Treatment Effect Models with Strategic Interaction in Treatment Decisions. (2019). Yanagi, Takahide ; Hoshino, Tadao. In: Papers. RePEc:arx:papers:1810.08350.

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2023MALTS: Matching After Learning to Stretch. (2021). Volfovsky, Alexander ; Rudin, Cynthia ; Parikh, Harsh. In: Papers. RePEc:arx:papers:1811.07415.

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2023Orthogonal Statistical Learning. (2019). Syrgkanis, Vasilis ; Foster, Dylan J. In: Papers. RePEc:arx:papers:1901.09036.

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2024Policy Targeting under Network Interference. (2019). Viviano, Davide. In: Papers. RePEc:arx:papers:1906.10258.

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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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2023Noise-Induced Randomization in Regression Discontinuity Designs. (2020). Wu, Han ; Wager, Stefan ; Ignatiadis, Nikolaos ; Eckles, Dean. In: Papers. RePEc:arx:papers:2004.09458.

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2024Coverage Optimal Empirical Likelihood Inference for Regression Discontinuity Design. (2020). Yu, Zhengfei ; Ma, Jun. In: Papers. RePEc:arx:papers:2008.09263.

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2023Causal Inference for Spatial Treatments. (2020). Pollmann, Michael. In: Papers. RePEc:arx:papers:2011.00373.

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2023Weighting-Based Treatment Effect Estimation via Distribution Learning. (2021). Zhang, Kunpeng. In: Papers. RePEc:arx:papers:2012.13805.

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2024Automatic Debiased Machine Learning via Neural Nets for Generalized Linear Regression. (2021). Chernozhukov, Victor ; Syrgkanis, Vasilis ; Quintas-Martinez, Victor ; Newey, Whitney K. In: Papers. RePEc:arx:papers:2104.14737.

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2024Flexible Covariate Adjustments in Regression Discontinuity Designs. (2021). Rothe, Christoph ; Olma, Tomasz ; Noack, Claudia. In: Papers. RePEc:arx:papers:2107.07942.

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2024Regression Discontinuity Design with Potentially Many Covariates. (2021). Arai, Yoichi ; Seo, Myung Hwan ; Otsu, Taisuke. In: Papers. RePEc:arx:papers:2109.08351.

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2023Effect or Treatment Heterogeneity? Policy Evaluation with Aggregated and Disaggregated Treatments. (2021). Heiler, Phillip ; Knaus, Michael C. In: Papers. RePEc:arx:papers:2110.01427.

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2023High-dimensional Inference for Dynamic Treatment Effects. (2021). Zhang, Yuqian ; Ji, Weijie ; Bradic, Jelena. In: Papers. RePEc:arx:papers:2110.04924.

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2023Optimal Decision Rules Under Partial Identification. (2021). Yata, Kohei. In: Papers. RePEc:arx:papers:2111.04926.

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2023Dynamic treatment effects: high-dimensional inference under model misspecification. (2021). Bradic, Jelena ; Ji, Weijie ; Zhang, Yuqian. In: Papers. RePEc:arx:papers:2111.06818.

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2023Visual Inference and Graphical Representation in Regression Discontinuity Designs. (2021). Pei, Zhuan ; Shen, YI ; Matsudaira, Jordan ; Lieberman, Carl ; Korting, Christina. In: Papers. RePEc:arx:papers:2112.03096.

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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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2024Isotonic propensity score matching. (2022). Otsu, Taisuke ; Xu, Mengshan. In: Papers. RePEc:arx:papers:2207.08868.

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2023Bootstrap inference in the presence of bias. (2022). Cavaliere, Giuseppe ; Nielsen, Morten Orregaard ; Gonccalves, S'Ilvia. In: Papers. RePEc:arx:papers:2208.02028.

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2023Debiased Inference on Identified Linear Functionals of Underidentified Nuisances via Penalized Minimax Estimation. (2022). Mao, Xiaojie ; Kallus, Nathan. In: Papers. RePEc:arx:papers:2208.08291.

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2023Beta-Sorted Portfolios. (2022). Wang, Weining ; Crump, Richard K ; Cattaneo, Matias D. In: Papers. RePEc:arx:papers:2208.10974.

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2024Safe Policy Learning under Regression Discontinuity Designs. (2022). Imai, Kosuke ; Ben-Michael, Eli ; Zhang, YI. In: Papers. RePEc:arx:papers:2208.13323.

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2024Estimating Heterogeneous Bounds for Treatment Effects under Sample Selection and Non-response. (2022). Heiler, Phillip. In: Papers. RePEc:arx:papers:2209.04329.

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2024The boosted HP filter is more general than you might think. (2022). Shi, Zhentao ; PEter, ; Mei, Ziwei. In: Papers. RePEc:arx:papers:2209.09810.

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2024Unconfoundedness with Network Interference. (2022). Loupos, Pantelis ; Leung, Michael P. In: Papers. RePEc:arx:papers:2211.07823.

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2024Double Robust Bayesian Inference on Average Treatment Effects. (2022). Yu, Zhengfei ; Liu, Ruixuan ; Breunig, Christoph. In: Papers. RePEc:arx:papers:2211.16298.

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2024Unbiased estimation and asymptotically valid inference in multivariable Mendelian randomization with many weak instrumental variables. (2023). Zhu, Xiaofeng ; Lorincz-Comi, Noah ; Yang, Yihe. In: Papers. RePEc:arx:papers:2301.05130.

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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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2024ddml: Double/debiased machine learning in Stata. (2023). Schaffer, Mark ; Wiemann, Thomas ; Hansen, Christian B ; Ahrens, Achim. In: Papers. RePEc:arx:papers:2301.09397.

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2023A Guide to Regression Discontinuity Designs in Medical Applications. (2023). Titiunik, Rocio ; Keele, Luke ; Cattaneo, Matias D. In: Papers. RePEc:arx:papers:2302.07413.

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2023New $\sqrt{n}$-consistent, numerically stable higher-order influence function estimators. (2023). Li, Chang ; Liu, Lin. In: Papers. RePEc:arx:papers:2302.08097.

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2023Clustered Covariate Regression. (2023). Tsyawo, Emmanuel ; Soale, Abdul-Nasah. In: Papers. RePEc:arx:papers:2302.09255.

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2024Using Forests in Multivariate Regression Discontinuity Designs. (2023). Qi, Yuan ; Liu, Yiqi. In: Papers. RePEc:arx:papers:2303.11721.

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2023Large-Scale Education Reform in General Equilibrium: Regression Discontinuity Evidence from India: Comment. (2023). Roodman, David. In: Papers. RePEc:arx:papers:2303.11956.

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2023The quality of school track assignment decisions by teachers. (2023). de Ree, Joppe ; Webbink, Dinand ; Oosterveen, Matthijs. In: Papers. RePEc:arx:papers:2304.10636.

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2024Semiparametric Efficiency Gains from Parametric Restrictions on the Generalized Propensity Score. (2023). Kono, Haruki. In: Papers. RePEc:arx:papers:2306.04177.

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2023Equal Pay for Similar Work. (2023). Pakzad-Hurson, Bobak ; Kojima, Fuhito ; Passaro, Diego Gentile. In: Papers. RePEc:arx:papers:2306.17111.

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2024A Double Machine Learning Approach to Combining Experimental and Observational Data. (2023). Volfovsky, Alexander ; Rudin, Cynthia ; Roy, Sudeepa ; Parikh, Harsh ; Orlandi, Vittorio ; Morucci, Marco. In: Papers. RePEc:arx:papers:2307.01449.

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2024On the Efficiency of Finely Stratified Experiments. (2023). Shaikh, Azeem ; Tabord-Meehan, Max ; Liu, Jizhou ; Bai, Yuehao. In: Papers. RePEc:arx:papers:2307.15181.

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2023A Guide to Impact Evaluation under Sample Selection and Missing Data: Teachers Aides and Adolescent Mental Health. (2023). Nielsen, Helena Skyt ; Heiler, Phillip ; Beuchert, Louise ; Andersen, Simon Calmar. In: Papers. RePEc:arx:papers:2308.04963.

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2023High Dimensional Time Series Regression Models: Applications to Statistical Learning Methods. (2023). Katsouris, Christis. In: Papers. RePEc:arx:papers:2308.16192.

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2024Estimation of Semiparametric Multi-Index Models Using Deep Neural Networks. (2023). GAO, Jiti ; Dong, Chaohua ; Yan, Yayi ; Peng, Bin. In: Papers. RePEc:arx:papers:2311.02789.

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2024From Reactive to Proactive Volatility Modeling with Hemisphere Neural Networks. (2023). Frenette, Mikael ; Coulombe, Philippe Goulet ; Klieber, Karin. In: Papers. RePEc:arx:papers:2311.16333.

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2023Extrapolating Away from the Cutoff in Regression Discontinuity Designs. (2023). Sun, Yiwei. In: Papers. RePEc:arx:papers:2311.18136.

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2023Identification and Inference for Synthetic Controls with Confounding. (2023). Viviano, Davide ; Imbens, Guido W. In: Papers. RePEc:arx:papers:2312.00955.

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2024Tests for Many Treatment Effects in Regression Discontinuity Panel Data Models. (2023). Keilbar, Georg ; Chen, Likai ; Wang, Weining ; Su, Liangjun. In: Papers. RePEc:arx:papers:2312.01162.

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2024On Rosenbaums Rank-based Matching Estimator. (2023). Cattaneo, Matias ; Lin, Zhexiao ; Han, Fang. In: Papers. RePEc:arx:papers:2312.07683.

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2024Structure-agnostic Optimality of Doubly Robust Learning for Treatment Effect Estimation. (2024). Syrgkanis, Vasilis ; Jin, Jikai. In: Papers. RePEc:arx:papers:2402.14264.

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2024Unveiling the Potential of Robustness in Evaluating Causal Inference Models. (2024). Wu, QI ; Li, Yijun ; Wang, Siyi ; Leung, Cheuk Hang ; Huang, Yiyan. In: Papers. RePEc:arx:papers:2402.18392.

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2024Applied Causal Inference Powered by ML and AI. (2024). Syrgkanis, Vasilis ; Spindler, Martin ; Kallus, Nathan ; Hansen, Christian ; Chernozhukov, Victor. In: Papers. RePEc:arx:papers:2403.02467.

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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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2024Comprehensive Causal Machine Learning. (2024). Mareckova, Jana ; Lechner, Michael. In: Papers. RePEc:arx:papers:2405.10198.

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2024A Deep Learning Approach to Heterogeneous Consumer Aesthetics in Retail Fashion. (2024). Rawat, Pranjal. In: Papers. RePEc:arx:papers:2405.10498.

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2023Bank Branch Expansions and Capital Investment by Credit Constrained Firms. (2023). Ritadhi, S K ; Mahajan, Kanika ; Kulkarni, Nirupama. In: Working Papers. RePEc:ash:wpaper:93.

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2023Application of Artificial Intelligence and Machine Learning in the Conduct of Monetary Policy by Central Banks. (2023). Georgieva, Sonya. In: Economic Studies journal. RePEc:bas:econst:y:2023:i:8:p:177-199.

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2023.

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2023The long-term causal effects of winning an ERC grant. (2023). Verzillo, Stefano ; Meroni, Elena ; Havari, Enkelejda ; Ghirelli, Corinna. In: Working Papers. RePEc:bde:wpaper:2313.

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2023.

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2023Do Incompetent Politicians Breed Populist Voters? Evidence from Italian Municipalities. (2023). , Giacomo ; Mollisi, Vincenzo ; Boffa, Federico. In: Working Papers. RePEc:bge:wpaper:1388.

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2023Constructing Efficient Simulated Moments Using Temporal Convolutional Networks. (2023). Creel, Michael ; Chassot, Jonathan. In: Working Papers. RePEc:bge:wpaper:1412.

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2024Doubly robust tests of exposure effects under high?dimensional confounding. (2020). Avagyan, Vahe ; Dukes, Oliver ; Vansteelandt, Stijn. In: Biometrics. RePEc:bla:biomet:v:76:y:2020:i:4:p:1190-1200.

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2023Improved inference for doubly robust estimators of heterogeneous treatment effects. (2023). Antonelli, Joseph ; Shin, Heejun. In: Biometrics. RePEc:bla:biomet:v:79:y:2023:i:4:p:3140-3152.

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2023Legal access to alcohol and automobile accidents: Potential interactive effects of alcohol and drug consumption. (2023). Meyer, Jacob ; Depew, Briggs. In: Contemporary Economic Policy. RePEc:bla:coecpo:v:41:y:2023:i:2:p:338-353.

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2023Let there be light: Daylight saving time and road traffic collisions. (2023). James, Jonathan. In: Economic Inquiry. RePEc:bla:ecinqu:v:61:y:2023:i:3:p:523-545.

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2023The interest premium for left government: Regression?discontinuity estimates. (2022). Hays, Jude C ; Ornstein, Joseph T ; Franzese, Robert J. In: Economics and Politics. RePEc:bla:ecopol:v:34:y:2022:i:3:p:429-443.

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2023Authors reply to the Discussion of ‘Assumption?lean inference for generalised linear model parameters’ by Vansteelandt and Dukes. (2022). Dukes, Oliver ; Vansteelandt, Stijn. In: Journal of the Royal Statistical Society Series B. RePEc:bla:jorssb:v:84:y:2022:i:3:p:729-739.

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2024RNN?based counterfactual prediction, with an application to homestead policy and public schooling. (2021). Zeng, Shuxi ; Poulos, Jason. In: Journal of the Royal Statistical Society Series C. RePEc:bla:jorssc:v:70:y:2021:i:4:p:1124-1139.

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2023A nonparametric predictive regression model using partitioning estimators based on Taylor expansions. (2023). Olmo, Jose. In: Journal of Time Series Analysis. RePEc:bla:jtsera:v:44:y:2023:i:3:p:294-318.

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2023The risk of being ranked: Investor response to marginal inclusion on the 100 Best Corporate Citizens list. (2023). Carlos, Chad W ; Lewis, Ben W. In: Strategic Management Journal. RePEc:bla:stratm:v:44:y:2023:i:1:p:117-140.

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2024Regression(s) discontinuity: Using bootstrap aggregation to yield estimates of RD treatment effects. (2024). Long, Mark ; Jordan, Rooklyn. In: Journal of Causal Inference. RePEc:bpj:causin:v:12:y:2024:i:1:p:21:n:1.

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2023Instrumental Variable Estimation with Many Instruments Using Elastic-Net IV. (2023). Skolkova, Alena. In: CERGE-EI Working Papers. RePEc:cer:papers:wp759.

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2023Tax Responses in Local Public Finance: The Flypaper Effect at Work. (2023). Loumeau, Gabriel ; Kothenburger, Marko. In: CESifo Working Paper Series. RePEc:ces:ceswps:_10354.

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2023Platform Partnership Programs and Content Supply: Evidence from the YouTube “Adpocalypse”. (2023). Loh, Johannes ; Kerkhof, Anna ; El-Komboz, Lena Abou. In: CESifo Working Paper Series. RePEc:ces:ceswps:_10363.

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2023Labour Costs and the Decision to Hire the First Employee. (2023). Cockx, Bart ; Desiere, Sam. In: CESifo Working Paper Series. RePEc:ces:ceswps:_10425.

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2023On Defaults, Framing, and Local Tax Policy: Quasi-Experimental Evidence from Portugal. (2023). da Fonseca, Mariana Lopes ; Bruns, Christian. In: CESifo Working Paper Series. RePEc:ces:ceswps:_10582.

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2024Does One Plus One Always Equal Two? Examining Complementarities in Educational Interventions. (2024). Ozek, Umut. In: CESifo Working Paper Series. RePEc:ces:ceswps:_10986.

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2024Short-Term Events, Long-Term Friends? Freshman Orientation Peers and Academic Performance. (2024). Brade, Raphael. In: CESifo Working Paper Series. RePEc:ces:ceswps:_11046.

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

Works by Max H Farrell:

YearTitleTypeCited
2024On Binscatter In: American Economic Review.
[Full Text][Citation analysis]		article0
2024On Binscatter.(2024) In: Papers.
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2019On binscatter.(2019) In: Staff Reports.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 0		paper
2018Robust Inference on Average Treatment Effects with Possibly More Covariates than Observations In: Papers.
[Full Text][Citation analysis]		paper148
2015Robust inference on average treatment effects with possibly more covariates than observations.(2015) In: Journal of Econometrics.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 148		article
2018On the Effect of Bias Estimation on Coverage Accuracy in Nonparametric Inference In: Papers.
[Full Text][Citation analysis]		paper121
2018On the Effect of Bias Estimation on Coverage Accuracy in Nonparametric Inference.(2018) In: Journal of the American Statistical Association.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 121		article
2019Large Sample Properties of Partitioning-Based Series Estimators In: Papers.
[Full Text][Citation analysis]		paper3
2021Coverage Error Optimal Confidence Intervals for Local Polynomial Regression In: Papers.
[Full Text][Citation analysis]		paper1
2020Optimal Bandwidth Choice for Robust Bias Corrected Inference in Regression Discontinuity Designs In: Papers.
[Full Text][Citation analysis]		paper112
2020Optimal bandwidth choice for robust bias-corrected inference in regression discontinuity designs.(2020) In: The Econometrics Journal.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 112		article
2019Characteristic-Sorted Portfolios: Estimation and Inference In: Papers.
[Full Text][Citation analysis]		paper12
2016Characteristic-Sorted Portfolios: Estimation and Inference.(2016) In: Staff Reports.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 12		paper
2020Characteristic-Sorted Portfolios: Estimation and Inference.(2020) In: The Review of Economics and Statistics.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 12		article
2018Regression Discontinuity Designs Using Covariates In: Papers.
[Full Text][Citation analysis]		paper253
2019Regression Discontinuity Designs Using Covariates.(2019) In: The Review of Economics and Statistics.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 253		article
2019Deep Neural Networks for Estimation and Inference In: Papers.
[Full Text][Citation analysis]		paper87
2021Deep Neural Networks for Estimation and Inference.(2021) In: Econometrica.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 87		article
2024Binscatter Regressions In: Papers.
[Full Text][Citation analysis]		paper3
2019nprobust: Nonparametric Kernel-Based Estimation and Robust Bias-Corrected Inference In: Papers.
[Full Text][Citation analysis]		paper2
2019lspartition: Partitioning-Based Least Squares Regression In: Papers.
[Full Text][Citation analysis]		paper0
2021Deep Learning for Individual Heterogeneity: An Automatic Inference Framework In: Papers.
[Full Text][Citation analysis]		paper4
2024Higher-order Refinements of Small Bandwidth Asymptotics for Density-Weighted Average Derivative Estimators In: Papers.
[Full Text][Citation analysis]		paper0
2024Nonlinear Binscatter Methods In: Papers.
[Full Text][Citation analysis]		paper0
2024Nonlinear Binscatter Methods.(2024) In: Staff Reports.
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This paper has nother version. Agregated cites: 0		paper
2013Optimal convergence rates, Bahadur representation, and asymptotic normality of partitioning estimators In: Journal of Econometrics.
[Full Text][Citation analysis]		article39
2011Efficient Estimation of the Dose–Response Function Under Ignorability Using Subclassification on the Covariates In: Advances in Econometrics.
[Full Text][Citation analysis]		chapter0
2017rdrobust: Software for regression-discontinuity designs In: Stata Journal.
[Full Text][Citation analysis]		article347

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