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Matching estimators for the effect of a treatment on survival times,
Xavier de Luna and Per Johansson,
from IFAU - Institute for Evaluation of Labour Market and Education Policy
(2007)
Keywords: Effect of a treatment; treatment
A note on the robustness of quantile treatment effect estimands,
Karim Chalak,
in Economics Letters
(2019)
Keywords: Heterogeneity; Quantile treatment effect; Robustness;
Stochastic Dominance, Poverty and the Treatment Effect Curve,
Paolo Verme,
in Economics Bulletin
(2010)
Keywords: Stochastic dominance, Poverty, Treatment effect
Nonparametric Tests for Treatment Effect Heterogeneity,
Richard Crump, V. Joseph Hotz, Guido Imbens and Oscar Mitnik,
from Institute of Labor Economics (IZA)
(2006)
Keywords: treatment effect heterogeneity, unconfoundedness, causality, average treatment effects
Nonparametric Tests for Treatment Effect Heterogeneity,
Richard Crump, V. Joseph Hotz, Guido Imbens and Oscar Mitnik,
from University of Miami, Department of Economics
(2006)
Keywords: average treatment effects, causality, unconfoundedness, treatment effect heterogeneity
Treatment Effect Accounting for Network Changes,
Margherita Comola and Silvia Prina,
from HAL
(2021)
Keywords: Peer effects,Time-varying networks,Treatment effect
Treatment Effect Accounting for Network Changes,
Margherita Comola and Silvia Prina,
from HAL
(2021)
Keywords: Peer effects,Time-varying networks,Treatment effect
Treatment effect optimisation in dynamic environments,
Berrevoets Jeroen, Verboven Sam and Verbeke Wouter,
in Journal of Causal Inference
(2022)
Keywords: bandit algorithms, uplift modelling, individual treatment effect
Treatment Effect Risk: Bounds and Inference,
Nathan Kallus,
in Management Science
(2023)
Keywords: individual treatment effect, conditional average treatment effect, conditional value at risk, partial identification, debiased machine learning
RDBALANCE: Stata module to compute covariate balance statistics with formatted table output in treatment effect analysis and RDD,
Yongli Chen and Yujun Lian,
from Boston College Department of Economics
(2021)
Keywords: covariates, treatment effect, RDD
Interactive identification of individuals with positive treatment effect while controlling false discoveries,
Duan Boyan, Wasserman Larry and Ramdas Aaditya,
in Journal of Causal Inference
(2024)
Keywords: individual treatment effect, heterogeneous treatment effect, multiple testing, subgroup discovery
Evaluating Marginal Policy Changes and the Average Effect of Treatment for Individuals at the Margin,
Pedro Carneiro, James Heckman and Edward Vytlacil,
from Institute of Labor Economics (IZA)
(2009)
Keywords: marginal policy relevant treatment effect, effects of marginal policy changes, marginal treatment effect, average marginal treatment effect
TFDIFF: Stata module to compute pre- and post-treatment estimation of the Average Treatment Effect (ATE) with fixed binary treatment,
Giovanni Cerulli,
from Boston College Department of Economics
(2022)
Keywords: treatment effect, ATE, binary treatment, common trend, balance
TVDIFF: Stata module to compute pre- and post-treatment estimation of the Average Treatment Effect (ATE) with binary time-varying treatment,
Giovanni Cerulli and Marco Ventura,
from Boston College Department of Economics
(2018)
Keywords: treatment effect, ATE, binary treatment, common trend, balance
The average treatment effect and average partial effect in nonlinear models,
Cuong Nguyen Viet,
from University Library of Munich, Germany
(2007)
Keywords: Average treatment effect, average partial effect, treatment effect, impact evaluation, nonlinear models.
Estimating average treatment effect by model averaging,
Yichen Gao, Wei Long and Zhengwei Wang,
in Economics Letters
(2015)
Keywords: Average treatment effect; Counterfactual; Model average;
Information-Theoretic Deconvolution Approximation of Treatment Effect Distribution,
Ximing Wu and Jeffrey Perloff,
from Department of Agricultural & Resource Economics, UC Berkeley
(2007)
Keywords: treatment effect distribution; deconvolution; maximum entropy density
Information-Theoretic Deconvolution Approximation of Treatment Effect Distribution,
Ximing Wu and Jeffrey Perloff,
from Institute of Industrial Relations, UC Berkeley
(2007)
Keywords: treatment effect distribution; deconvolution; maximum entropy density
Nonparametric tests for the effect of treatment on conditional variance,
Yanchun Jin,
from Kyoto University, Institute of Economic Research
(2016)
Keywords: treatment effect; conditional variance; series estimation
Identification of the average treatment effect when SUTVA is violated,
Lukas Laffers and Giovanni Mellace,
from University of Southern Denmark, Department of Economics
(2020)
Keywords: SUTVA; Bounds; Average treatment effect; Sensitivity analysis
MSEFFECT: Stata module to estimate the mean effect size of (binary/multiple group) treatment on multiple outcomes,
Zizhong Yan,
from Boston College Department of Economics
(2017)
Keywords: effect size, treatment, binary treatment, multiple groups
Harnessing the Power of Mechanization: A Multivalued Treatment Effect Analysis on Productivity for Chinese Smallholders,
Zhenbang Ma and Huichun Sun,
in Land
(2024)
Keywords: agricultural mechanization; labor and land productivity; multivalued treatment effect; quantile treatment effect; moderating effect; Chinese smallholders
IVTREATREG: Stata module to estimate binary treatment models with idiosyncratic average effect,
Giovanni Cerulli,
from Boston College Department of Economics
(2014)
Keywords: treatment, instrumental variables, average treatment effect, selection on unobservables
Poincare: Recommending Publication Venues via Treatment Effect Estimation,
Ryoma Sato, Makoto Yamada and Hisashi Kashima,
in Journal of Informetrics
(2022)
Keywords: recommender systems; scholarly communication; treatment effect estimation;
A Treatment Effect Method for Merger Analysis with an Application to Parking Prices in Paris,
Philippe Choné and Laurent Linnemer,
from CESifo
(2010)
Keywords: merger retrospective analysis, treatment effect models
Estimation of Treatment Effect of Asthma Case Management Using Propensity Score Methods,
Sylvia Brandt, Sara Gale and Ira Tager,
from University of Massachusetts Amherst, Department of Resource Economics
(2009)
Keywords: Asthma, treatment effect, health intervention, propensity scores
Estimating the Individual Treatment Effect with Different Treatment Group Sizes,
Luyuan Song and Xiaojun Zhang,
in Mathematics
(2024)
Keywords: causal inference; individual treatment effect; observational data; imbalanced dataset; binary treatments
Heterogeneous Treatment Effect-based Random Forest: HTERF,
Bérénice-Alexia Jocteur, Véronique Maume-Deschamps and Pierre Ribereau,
in Computational Statistics & Data Analysis
(2024)
Keywords: Causal forest; Causal inference; Heterogeneous treatment effect; Potential outcomes;
Testing treatment effect heterogeneity in regression discontinuity designs,
Yu-Chin Hsu and Shu Shen,
in Journal of Econometrics
(2019)
Keywords: Sharp regression discontinuity; Fuzzy regression discontinuity; Treatment effect heterogeneity;
Treatment-effect identification without parallel paths,
Vincent Vandenberghe,
in Economics - The Open-Access, Open-Assessment E-Journal (2007-2020)
(2018)
Keywords: treatment-effect analysis, difference-in-differences models, EU convergence policy
Quantile treatment effect and double robust estimators,
Francesco Caracciolo and Marilena Furno,
in Journal of Economic Studies
(2017)
Keywords: Quantile regression, Double robust, Treatment effect, Propensity score
Testing for Treatment Effect Heterogeneity in Regression Discontinuity Design,
Yu-Chin Hsu and Shu Shen,
from Institute of Economics, Academia Sinica, Taipei, Taiwan
(2016)
Keywords: Sharp regression discontinuity, fuzzy regression discontinuity, treatment effect heterogeneity.
On Estimating Multiple Treatment Effects with Regression,
Paul Goldsmith-Pinkham, Peter Hull and Michal Kolesár,
from Princeton University. Economics Department.
(2021)
Keywords: regressions, treatment effect
A Unified Framework for Dynamic Treatment Effect Estimation in Interactive Fixed Effect Models,
Nicholas Brown and Kyle Butts,
from Economics Department, Queen's University
(2022)
Keywords: factor model, panel treatment effect, causal inference, fixed-T
Bootstrap inference of matching estimators for average treatment effects,
Taisuke Otsu and Yoshiyasu Rai,
from Suntory and Toyota International Centres for Economics and Related Disciplines, LSE
(2015)
Keywords: Treatment effect, matching, bootstrap
A treatment-effect model to quantify human dimensions of disaster impacts: the case of Hurricane Maria in Puerto Rico,
Wilmer Martínez-Rivera, Thomaz Carvalhaes, Petar Jevtić and T. Agami Reddy,
in Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards
(2023)
Keywords: Hurricane Maria, Panel data, Treatment-effect model
RANDINF: Stata module to calculate the treatment effect and p-value of a stratified randomized controlled experiment,
John Ternovski,
from Boston College Department of Economics
(2015)
Keywords: treatment effect, randomized controlled experiment, Fisher randomization
Identifying the average treatment effect in ordered treatment models without unconfoundedness,
Arthur Lewbel and Thomas Tao Yang,
in Journal of Econometrics
(2016)
Keywords: Average treatment effect; Ordered choice model; Special regressor; Semiparametric; Competition and innovation; Identification;
Covariance Regression Models for Studying Treatment Effect Heterogeneity Across One or More Outcomes: Understanding How Treatments Shape Inequality,
Deirdre Bloome and Daniel Schrage,
in Sociological Methods & Research
(2021)
Keywords: inequality; causal inference; treatment effects; effect modification; covariance
The treatment effect of borders on trade. The great war and the disintegration of Central Europe,
Hans Heinemeyer,
in Cliometrica, Journal of Historical Economics and Econometric History
(2007)
Keywords: Border effects, Treatment effect, First World War, Central Europe
Estimating Heterogeneous Treatment Effect on Multivariate Responses Using Random Forests,
Boyi Guo, Hannah D. Holscher, Loretta S. Auvil, Michael E. Welge, Colleen B. Bushell, Janet A. Novotny, David J. Baer, Nicholas A. Burd, Naiman A. Khan and Ruoqing Zhu,
in Statistics in Biosciences
(2023)
Keywords: Individualized treatment effect, Microbiota, Multivariate, Random forests, Personalized nutrition
Efficient covariate balancing for the average treatment effect with missing outcome,
Shengfang Tang, Mingfeng Zhan, Qingshan Jiang and Tong Zhang,
in Economics Letters
(2024)
Keywords: Average treatment effect; Covariate balancing; Missing outcome; Semiparametric efficiency bound;
Evaluation of Educational Interventions Based on Average Treatment Effect: A Case Study,
Jingyu Liang and Jie Liu,
in Mathematics
(2022)
Keywords: observational study; propensity score; data stratification; average treatment effect; education
Efficiency of Average Treatment Effect Estimation When the True Propensity Is Parametric,
Kyoo il Kim,
in Econometrics
(2019)
Keywords: average treatment effect; efficiency bound; propensity score; sieve MLE
Endogenous treatment effect estimation using high-dimensional instruments and double selection,
Wei Zhong, Yang Gao, Wei Zhou and Qingliang (Michael) Fan,
in Statistics & Probability Letters
(2021)
Keywords: Double selection; Endogeneity; High dimensionality; Instrumental variable; Treatment effect;
Endogenous treatment effect for any response conditional on control propensity score,
Jin-young Choi, Goeun Lee and Myoung-jae Lee,
in Statistics & Probability Letters
(2023)
Keywords: Endogenous treatment; Complier effect; Propensity score; Randomization; Instrumental variable estimator;
A Class of Unbiased Estimators of the Average Treatment Effect in Randomized Experiments,
Aronow Peter M. and Middleton Joel A.,
in Journal of Causal Inference
(2013)
Keywords: randomized experiments, unbiased estimation, average treatment effect, sampling theory
Random recursive partitioning: a matching method for the estimation of the average treatment effect,
Stefano Iacus and Giuseppe Porro,
from Universitá degli Studi di Milano
(2006)
Keywords: average treatment effect, recursive partitioning, matching estimators, observational studies,
Dynamic Treatment Effect Analysis of TV Effects on Child Cognitive Development,
Fali Huang and Myoung-jae Lee,
from Singapore Management University, School of Economics
(2007)
Keywords: TV watching, treatment effect, panel data, dynamic model, Granger causality
Dynamic Treatment Effect Analysis of TV Effects on Child Cognitive Development,
Fali Huang and Myoung-jae Lee,
from East Asian Bureau of Economic Research
(2007)
Keywords: TV watching, treatment effect, panel data, dynamic model, Granger Causality
didq: A command for treatment-effect estimation under alternative assumptions,
Ricardo Mora Villarrubia and Iliana Reggio,
in Stata Journal
(2015)
Keywords: didq, difference-in-differences, treatment effect, identification, fully flexible model
Lee (2009) treatment-effect bounds for nonrandom sample selection,
Harald Tauchmann,
in Stata Journal
(2014)
Keywords: leebounds, nonparametric, randomized trial, sample selection, attrition, bounds, treatment effect
A Unified Framework for Specification Tests of Continuous Treatment Effect Models,
Wei Huang, Oliver Linton and Zheng Zhang,
from Faculty of Economics, University of Cambridge
(2021)
Keywords: Consistent tests, Continuous treatment effect, Series estimation, Bootstrap
Dynamic Treatment Effect Analysis of TV Effects on Child Cognitive Development,
Fali Huang and Myoung-jae Lee,
from Institute of Economic Research, Korea University
(2009)
Keywords: TV watching, treatment effect, panel data, dynamic model with feedback
HTE: Stata module to perform heterogeneous treatment effect analysis,
Ben Jann, Jennie E. Brand and Yu Xie,
from Boston College Department of Economics
(2014)
Keywords: heterogeneous treatment effect, propensity score strata, causal inference
DIDQ: Stata module to compute treatment effects under alternative Parallel-q assumptions,
Ricardo Mora Villarrubia and Iliana Reggio,
from Boston College Department of Economics
(2021)
Keywords: difference-in-differences, treatment effect
A GMM interpretation of the paradox in the inverse probability weighting estimation of the average treatment effect on the treated,
Chirok Han and Beomsoo Kim,
in Economics Letters
(2011)
Keywords: Average treatment effect Average treatment effect on the treated Estimated propensity score Generalized method of moments Method of moments Paradox
MLR2SLS: Stata module for 2SLS estimation with multiple-LATEs robust standard error under treatment effect heterogeneity,
Seojeong Lee and Dandan Yu,
from Boston College Department of Economics
(2018)
Keywords: instrumental variables, treatment effect heterogeneity, local average treatment effect, 2SLS, robust standard errors
Estimating the Effect of Treatments Allocated by Randomized Waiting Lists,
Clément Chaisemartin and Luc Behaghel,
from HAL
(2020)
Keywords: Waiting lists,Non-takers,Non compliance,Instrumental variable,Local average treatment effect,Randomized controlled trials
Estimating the Effect of Treatments Allocated by Randomized Waiting Lists,
Clément Chaisemartin and Luc Behaghel,
from HAL
(2020)
Keywords: Waiting lists,Non-takers,Non compliance,Instrumental variable,Local average treatment effect,Randomized controlled trials
Bootstrap corrections of treatment effect estimates following selection,
Gerd K. Rosenkranz,
in Computational Statistics & Data Analysis
(2014)
Keywords: Estimation of maximum effect; Estimation after selection; Treatment selection; Subgroup selection; Bootstrap bias correction;
Regression adjustment for treatment effect with multicollinearity in high dimensions,
Lili Yue, Gaorong Li, Heng Lian and Xiang Wan,
in Computational Statistics & Data Analysis
(2019)
Keywords: Average Treatment Effect; Causal inference; Elastic-net; High-dimensional data; Randomized experiments; Rubin causal model;
Treatment effect bounds: An application to Swan–Ganz catheterization,
Jay Bhattacharya, Azeem Shaikh and Edward Vytlacil,
in Journal of Econometrics
(2012)
Keywords: Partial identification; Average treatment effect; Swan–Ganz catheterization; Threshold crossing model; Simultaneous equation model;
The Mechanics of Treatment-effect Estimate Bias for Nonexperimental Data,
Roberto V. Penaloza and Mark Berends,
in Sociological Methods & Research
(2022)
Keywords: treatment-effect estimate bias; value-added models; teacher effectiveness; school effectiveness; measurement error
Evaluation of the treatment time-lag effect for survival data,
Kayoung Park and Peihua Qiu,
in Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data
(2018)
Keywords: Cox proportional hazards model, Crossing hazard rates, Lag effect, Survival analysis, Treatment comparison
Identifying the Average Treatment Effect in a Two Threshold Model,
Arthur Lewbel and Thomas Tao Yang,
from Boston College Department of Economics
(2013)
Keywords: Average treatment effect, Ordered choice model, Special regressor, Semiparametric, Competition and innovation, Identification.
Inferences for Partially Conditional Quantile Treatment Effect Model,
Zongwu Cai, Ying Fang, Ming Lin and Shengfang Tang,
from University of Kansas, Department of Economics
(2020)
Keywords: Conditional quantile treatment effect; Heterogeneity; Specification test; Propensity score; Semiparametric estimation.
Outcome regression-based estimation of conditional average treatment effect,
Lu Li, Niwen Zhou and Lixing Zhu,
in Annals of the Institute of Statistical Mathematics
(2022)
Keywords: Asymptotic variance, Conditional average treatment effect, Regression causal effect, Sufficient dimension reduction
A New Quantile Treatment Effect Model for Studying Smoking Effect on Birth Weight During Mother's Pregnancy,
Shengfang Tang, Zongwu Cai, Ying Fang and Ming Lin,
from University of Kansas, Department of Economics
(2020)
Keywords: Birth weight; Heterogeneity; Quantile regression; Smoking; Treatment effect
Evaluating Treatment Effect and Causal Effect of Fiscal Rules on Procyclicality,
Pierre Mandon,
from HAL
(2014)
Keywords: Fiscal Rules,Fiscal Rules Spread,Fiscal Policy Responsiveness,Procyclicality,Treatment Effect,Propensity Scores Matching
How to Estimate the Average Effect of Job Training on Wages? An Empirical Comparison of Economic Models,
Audrey Dumas,
from HAL
(2007)
Keywords: Average treatment effect
Bias-Adjusted Treatment Effects Under Equal Selection,
Deepankar Basu,
from University of Massachusetts Amherst, Department of Economics
(2021)
Keywords: treatment effect, omitted variable bias
Bounding Sets for Treatment Effects with Proportional Selection,
Deepankar Basu,
from University of Massachusetts Amherst, Department of Economics
(2021)
Keywords: treatment effect, omitted variable bias
Identification in nonparametric models for dynamic treatment effects,
Sukjin Han,
in Journal of Econometrics
(2021)
Keywords: Dynamic treatment effect; Endogenous treatment; Average treatment effect; Optimal treatment regime; Instrumental variable;
DRCATE: Stata module to estimate and plot conditional average treatment effect functions with uniform confidence bands using a doubly robust method,
Sokbae (Simon) Lee, Ryo Okui, Yoon-Jae Whang and Heejun Lee,
from Boston College Department of Economics
(2020)
Keywords: Treatment effect, Conditional average treatment effect, Double robustness, Augmented inverse probability weighting, Uniform confidence bands
Estimation of treatment effects under endogenous heteroskedasticity,
Jason Abrevaya and Haiqing Xu,
in Journal of Econometrics
(2023)
Keywords: Endogenous heteroskedasticity; Individual treatment effect; Average treatment effect; Local average treatment effect; Instrumental variable;
An experimental study of countermeasures against threats: real-world effects meet treatment effects,
Roman Chytilek, Miroslav Mareš, Jakub Drmola, Lenka Hrbková, Petra Mlejnková, Zuzana Špačková and Michal Tóth,
in Quality & Quantity: International Journal of Methodology
(2022)
Keywords: Security, Experiments, Contamination, Pre-treatment, Treatment effect
Identification of the Joint Effect of a Dynamic Treatment Intervention and a Stochastic Monitoring Intervention Under the No Direct Effect Assumption,
Neugebauer Romain, Schmittdiel Julie A., Adams Alyce S., Grant Richard W. and J. van der Laan Mark,
in Journal of Causal Inference
(2017)
Keywords: counterfactual identifiability, dynamic intervention, effect of monitoring, no direct effect assumption, stochastic intervention, time-varying treatment
Direct and Indirect Treatment Effects: Causal Chains and Mediation Analysis with Instrumental Variables,
Markus Frölich and Martin Huber,
from Institute of Labor Economics (IZA)
(2014)
Keywords: instrument, indirect effect, direct effect, treatment effects
Instrumental variables and the sign of the average treatment effect,
Cecilia Machado, Azeem Shaikh and Edward J. Vytlacil,
in Journal of Econometrics
(2019)
Keywords: Average treatment effect; Endogeneity; Instrumental variables; Union of moment inequalities; Bootstrap; Uniform validity; Multiple testing; Familywise error rate; Gatekeeping;
Causal Effect Models for Realistic Individualized Treatment and Intention to Treat Rules,
J. van der Laan Mark and Petersen Maya L,
in The International Journal of Biostatistics
(2007)
Keywords: counterfactual, causal effect, causal inference, double robust estimating function, dynamic treatment regimen, estimating function, individualized stopped treatment regimen, individualized treatment rule, inverse probability of treatment weighted estimating functions, locally efficient estimation, static treatment intervention
MTEFE: Stata module to compute marginal treatment effects with factor variables,
Martin Andresen,
from Boston College Department of Economics
(2019)
Keywords: marginal treatment effect, factor variables
Analyzing Treatment Effect by Integrating Existing Propensity Score and Outcome Regressions with Heterogeneous Covariate Sets,
Yi-Hau Chen, Szu-Yuan Hsu, Jie-Huei Wang and Chien-Chou Su,
in Mathematics
(2024)
Keywords: data integration; multi-center study; missing covariate; treatment effect
An Effect Analysis of Comprehensive Treatment of Groundwater Over-Exploitation in Cheng’an County, Hebei Province, China,
Weiwei Shao, Jinjun Zhou, Jiahong Liu, Haixing Zhang, Jianhua Wang, Chenyao Xiang, Guiyu Yang and Yun Tang,
in IJERPH
(2017)
Keywords: Cheng’an County; groundwater over-exploitation; comprehensive treatment; effect evaluation
A tale of lockdown policies on the transmission of COVID-19 within and between Chinese cities: A study based on heterogeneous treatment effect,
Jingjing Li, Chu Zhuang and Wei Zou,
in Economics & Human Biology
(2024)
Keywords: COVID-19; Pandemic; Lockdown Policies; Non-pharmaceutical interventions; Heterogeneous Treatment Effect;
Treatment-effect identification without parallel paths: An illustration in the case of Objective 1-Hainaut/Belgium, 1994-2006,
Vincent Vandenberghe,
from Kiel Institute for the World Economy (IfW Kiel)
(2017)
Keywords: treatment-effect analysis, difference-in-differences models, EU convergence policy
Missing data imputation, classification, prediction and average treatment effect estimation via Random Recursive Partitioning,
Stefano Iacus and Giuseppe Porro,
from Universitá degli Studi di Milano
(2006)
Keywords: recursive partitioning, average treatment effect estimation, classification, missing data imputation,
Duration of Treatment Effect Should Be Considered in the Design and Interpretation of Clinical Trials: Results of a Discrete Choice Experiment,
Bethan Copsey, James Buchanan, Raymond Fitzpatrick, Sarah E. Lamb, Susan J. Dutton and Jonathan A. Cook,
in Medical Decision Making
(2019)
Keywords: osteoarthritis; WOMAC; patient preference; duration; treatment effect; discrete choice experiment
Is It Who You Are or Where You Are? Accounting for Compositional Differences in Cross-Site Treatment Effect Variation,
Benjamin Lu, Eli Ben-Michael, Avi Feller and Luke Miratrix,
in Journal of Educational and Behavioral Statistics
(2023)
Keywords: multisite trials; generalizability; transportability; balancing weights; treatment effect variation
Treatment-Effect Identification Without Parallel paths An illustration in the case of Objective 1- Hainaut/Belgium, 1994-2006,
Vincent Vandenberghe,
from ULB -- Universite Libre de Bruxelles
(2016)
Keywords: Treatment-Effect Analysis; Difference-in-Differences Models; EU Regional Policy
Treatment-Effect Identification Without Parallel paths An illustration in the case of Objective 1-Hainaut/Belgium, 1994-2006,
Vincent Vandenberghe,
from Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES)
(2018)
Keywords: Treatment-Effect Analysis, Difference-in-Differences Models, EU Regional Policy
Information theoretic approach to high dimensional multiplicative models: Stochastic discount factor and treatment effect,
Taisuke Otsu and Chen Qiu,
from Suntory and Toyota International Centres for Economics and Related Disciplines, LSE
(2018)
Keywords: Stochastic discount factor, Treatment effect, Information theory, High dimension
Asymptotics for statistical treatment rules,
Keisuke Hirano and Jack Porter,
from University Library of Munich, Germany
(2006)
Keywords: treatment effect; statistical decision theory; minmax regret; treatment assignment rules
Bounds on distributional treatment effect parameters using panel data with an application on job displacement,
Brantly Callaway,
in Journal of Econometrics
(2021)
Keywords: Joint distribution of potential outcomes; Distribution of the treatment effect; Quantile of the treatment effect; Copula stability assumption; Panel data; Job displacement;
Job Displacement during the Great Recession: Tight Bounds on Distributional Treatment Effect Parameters using Panel Data,
Brantly Callaway,
from Department of Economics, Temple University
(2017)
Keywords: Joint Distribution of Potential Outcomes, Distribution of the Treatment Effect, Quantile of the Treatment Effect, Copula Stability Assumption, Panel Data, Job Displacement
Treatment Effect Heterogeneity,
Jeffrey Smith,
in Evaluation Review
(2022)
Keywords: program evaluation; treatment effects; essential heterogeneity
Treatment Effect Heterogeneity,
Jeffrey Smith,
from Institute of Labor Economics (IZA)
(2022)
Keywords: program evaluation, essential heterogeneity, treatment effects
IVBOUNDS: Stata module providing instrumental variable method to bound treatment-effects estimates with potentially misreported and endogenous program participation,
Andy Lin, Denni Tommasi and Lina Zhang,
from Boston College Department of Economics
(2021)
Keywords: treatment effect, average causal effect, LATE
Outcome Conditioned Treatment Effects,
Stefan Hoderlein and Yuya Sasaki,
from Boston College Department of Economics
(2013)
Keywords: Continuous Treatment, Average Treatment Effect on the Treated, Marginal Treatment Effect, Average Partial Effect, Local Instrumental Variables, Nonseparable Model, Endogeneity, Quantiles
Outcome conditioned treatment effects,
Stefan Hoderlein and Yuya Sasaki,
from Centre for Microdata Methods and Practice, Institute for Fiscal Studies
(2013)
Keywords: Continuous treatment, average treatment effect on the treated, marginal treatment effect, average partial effect, local instrumental variables, nonseparable model, endogeneity, quantiles
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