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Design Sensitivity and Efficiency in Observational Studies

Citations

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Cited by:

  1. Bo, Hao & Galiani, Sebastian, 2021. "Assessing external validity," Research in Economics, Elsevier, vol. 75(3), pages 274-285.
  2. Jesse Y. Hsu & José R. Zubizarreta & Dylan S. Small & Paul R. Rosenbaum, 2015. "Strong control of the familywise error rate in observational studies that discover effect modification by exploratory methods," Biometrika, Biometrika Trust, vol. 102(4), pages 767-782.
  3. Zhexiao Lin & Peng Ding & Fang Han, 2023. "Estimation Based on Nearest Neighbor Matching: From Density Ratio to Average Treatment Effect," Econometrica, Econometric Society, vol. 91(6), pages 2187-2217, November.
  4. Struck, Shannon & Enns, Jennifer E. & Sanguins, Julianne & Chartier, Mariette & Nickel, Nathan C. & Chateau, Dan & Sarkar, Joykrishna & Burland, Elaine & Hinds, Aynslie & Katz, Alan & Santos, Rob & Ch, 2021. "An unconditional prenatal cash benefit is associated with improved birth and early childhood outcomes for Metis families in Manitoba, Canada," Children and Youth Services Review, Elsevier, vol. 121(C).
  5. Siyu Heng & Dylan S. Small & Paul R. Rosenbaum, 2020. "Finding the strength in a weak instrument in a study of cognitive outcomes produced by Catholic high schools," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(3), pages 935-958, June.
  6. Tenglong Li & Kenneth A. Frank, 2020. "The probability of a robust inference for internal validity and its applications in regression models," Papers 2005.12784, arXiv.org.
  7. Harrison, Ann E. & Lin, Justin Yifu & Xu, Lixin Colin, 2014. "Explaining Africa’s (Dis)advantage," World Development, Elsevier, vol. 63(C), pages 59-77.
  8. Ding Peng & Li Xinran & Miratrix Luke W., 2017. "Bridging Finite and Super Population Causal Inference," Journal of Causal Inference, De Gruyter, vol. 5(2), pages 1-8, September.
  9. Szabolcs Szekér & Ágnes Vathy-Fogarassy, 2020. "Weighted nearest neighbours-based control group selection method for observational studies," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-20, July.
  10. Kuchibhotla, Murali, 2013. "Three essays in development economics," ISU General Staff Papers 201301010800004461, Iowa State University, Department of Economics.
  11. España, F. & Arriagada, R. & Melo, O. & Foster, W., 2022. "Forest plantation subsidies: Impact evaluation of the Chilean case," Forest Policy and Economics, Elsevier, vol. 137(C).
  12. Bo Zhang & Eric J. Tchetgen Tchetgen, 2022. "A semi‐parametric approach to model‐based sensitivity analysis in observational studies," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(S2), pages 668-691, December.
  13. Laura Helena Kivi & Marko Sõmer & Epp Kallaste, 2020. "Language training for unemployed non-natives: who benefits the most?," Baltic Journal of Economics, Baltic International Centre for Economic Policy Studies, vol. 20(1), pages 34-58.
  14. Clare Leaver & Owen Ozier & Pieter Serneels & Andrew Zeitlin, 2021. "Recruitment, Effort, and Retention Effects of Performance Contracts for Civil Servants: Experimental Evidence from Rwandan Primary Schools," American Economic Review, American Economic Association, vol. 111(7), pages 2213-2246, July.
  15. Jacob Dorn & Kevin Guo & Nathan Kallus, 2021. "Doubly-Valid/Doubly-Sharp Sensitivity Analysis for Causal Inference with Unmeasured Confounding," Papers 2112.11449, arXiv.org, revised Jul 2022.
  16. Walke, Adam G. & Fullerton, Thomas M. & Tokle, Robert J., 2018. "Risk-based loan pricing consequences for credit unions," Journal of Empirical Finance, Elsevier, vol. 47(C), pages 105-119.
  17. Leaver, Clare & Ozier, Owen & Serneels, Pieter & Zeitlin, Andrew, 2020. "Recruitment, Effort, and Retention Effects of Performance Contracts for Civil Servants: Experimental Evidence from Rwandan Prim," CEPR Discussion Papers 15333, C.E.P.R. Discussion Papers.
  18. Lu, Jiannan & Ding, Peng & Dasgupta, Tirthankar, 2015. "Construction of alternative hypotheses for randomization tests with ordinal outcomes," Statistics & Probability Letters, Elsevier, vol. 107(C), pages 348-355.
  19. Jacob Dorn & Kevin Guo, 2021. "Sharp Sensitivity Analysis for Inverse Propensity Weighting via Quantile Balancing," Papers 2102.04543, arXiv.org, revised Aug 2023.
  20. Tenglong Li & Ken Frank, 2022. "The probability of a robust inference for internal validity," Sociological Methods & Research, , vol. 51(4), pages 1947-1968, November.
  21. Matias D. Cattaneo & Rocío Titiunik, 2022. "Regression Discontinuity Designs," Annual Review of Economics, Annual Reviews, vol. 14(1), pages 821-851, August.
  22. Rüdiger Mutz & Tobias Wolbring & Hans-Dieter Daniel, 2017. "The effect of the “very important paper” (VIP) designation in Angewandte Chemie International Edition on citation impact: A propensity score matching analysis," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(9), pages 2139-2153, September.
  23. Daniel Gama e Colombo, 2016. "Impact Assessment of Tax Incentives to Foster Industrial Innovation in Brazil: The Case of Law 11,196/05," Working Papers, Department of Economics 2016_30, University of São Paulo (FEA-USP).
  24. Yu, Yantuan & Zhang, Ning, 2021. "Low-carbon city pilot and carbon emission efficiency: Quasi-experimental evidence from China," Energy Economics, Elsevier, vol. 96(C).
  25. Kelly, Khim & Valtchanov, Deltcho & Webb, Alan, 2021. "Behavioral implications of using an online slot machine game to motivate employees: A cautionary tale," Accounting, Organizations and Society, Elsevier, vol. 89(C).
  26. Matias D. Cattaneo & Luke Keele & Rocio Titiunik, 2021. "Covariate Adjustment in Regression Discontinuity Designs," Papers 2110.08410, arXiv.org, revised Aug 2022.
  27. Hirschauer, Norbert & Grüner, Sven & Mußhoff, Oliver & Becker, Claudia & Jantsch, Antje, 2020. "Can p-values be meaningfully interpreted without random sampling?," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 14, pages 71-91.
  28. Javier Gardeazabal & Todd Sandler, 2015. "INTERPOL's Surveillance Network in Curbing Transnational Terrorism," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 34(4), pages 761-780, September.
  29. Matias D. Cattaneo & Luke Keele & Rocio Titiunik, 2023. "A Guide to Regression Discontinuity Designs in Medical Applications," Papers 2302.07413, arXiv.org, revised May 2023.
  30. Anand Acharya & Lynda Khalaf & Marcel Voia & Myra Yazbeck & David Wensley, 2021. "Severity of Illness and the Duration of Intensive Care," Working Papers 2021-003, Human Capital and Economic Opportunity Working Group.
  31. Haensch, Anna-Carolina & Drechsler, Jörg & Bernhard, Sarah, 2020. "TippingSens: An R Shiny Application to Facilitate Sensitivity Analysis for Causal Inference Under Confounding," IAB-Discussion Paper 202029, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
  32. Nicholas T. Longford, 2020. "Performance assessment as an application of causal inference," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(4), pages 1363-1385, October.
  33. Junquera, Álvaro F., 2024. "More money, more effect? Employment effects of job search programs in Veneto," SocArXiv rjshu, Center for Open Science.
  34. Wenqi Hu & Carri W. Chan & José R. Zubizarreta & Gabriel J. Escobar, 2018. "An Examination of Early Transfers to the ICU Based on a Physiologic Risk Score," Manufacturing & Service Operations Management, INFORMS, vol. 20(3), pages 531-549, July.
  35. Andrius Kažukauskas & Thomas Broberg & Jūratė Jaraitė, 2021. "Social Comparisons in Real Time: A Field Experiment of Residential Electricity and Water Use," Scandinavian Journal of Economics, Wiley Blackwell, vol. 123(2), pages 558-592, April.
  36. Mawa, Christopher & Babweteera, Fred & Tumusiime, David Mwesigye, 2022. "Livelihood outcomes after two decades of co-managing a state forest in Uganda," Forest Policy and Economics, Elsevier, vol. 135(C).
  37. Siyu Heng & Hyunseung Kang & Dylan S. Small & Colin B. Fogarty, 2021. "Increasing power for observational studies of aberrant response: An adaptive approach," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 83(3), pages 482-504, July.
  38. Ian Gazeley & Rose Holmes & Andrew Newell & Kevin Reynolds & Hector Gutierrez Rufrancos, 2023. "Escaping from hunger before WW1: the nutritional transition and living standards in Western Europe and USA in the late nineteenth century," Cliometrica, Springer;Cliometric Society (Association Francaise de Cliométrie), vol. 17(3), pages 533-565, September.
  39. Bikram Karmakar, 2022. "An approximation algorithm for blocking of an experimental design," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 84(5), pages 1726-1750, November.
  40. Luke Keele & Stephen O’Neill & Richard Grieve, 2021. "Comparing the Performance of Statistical Adjustment Methods by Recovering the Experimental Benchmark from the REFLUX Trial," Medical Decision Making, , vol. 41(3), pages 340-353, April.
  41. Elizabeth A. Stuart, 2010. "A Review of Design of Observational Studies," Journal of Educational and Behavioral Statistics, , vol. 35(6), pages 774-778, December.
  42. Ting Ye & Ashkan Ertefaie & James Flory & Sean Hennessy & Dylan S. Small, 2023. "Instrumented difference‐in‐differences," Biometrics, The International Biometric Society, vol. 79(2), pages 569-581, June.
  43. Ameed Saabneh & Rebbeca Tesfai, 2021. "Does Immigrant Selection Policy Matter? Labor Market Integration of Ethiopian Immigrants in Israel and the United States," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 40(5), pages 955-985, October.
  44. Wagner, Laura & Pinto, Catarina & Amorim, Pedro, 2021. "On the Value of Subscription Models for Online Grocery Retail," European Journal of Operational Research, Elsevier, vol. 294(3), pages 874-894.
  45. Justus Ochieng & Beatrice Knerr & George Owuor & Emily Ouma, 2020. "Food crops commercialization and household livelihoods: Evidence from rural regions in Central Africa," Agribusiness, John Wiley & Sons, Ltd., vol. 36(2), pages 318-338, April.
  46. Luke Keele & Steve Harris & Samuel D. Pimentel & Richard Grieve, 2020. "Stronger instruments and refined covariate balance in an observational study of the effectiveness of prompt admission to intensive care units," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(4), pages 1501-1521, October.
  47. Katsuo Kogure & Yoshito Takasaki, 2019. "GIS for empirical research design: An illustration with georeferenced point data," PLOS ONE, Public Library of Science, vol. 14(3), pages 1-16, March.
  48. Kim, Su Jung & Wang, Rebecca Jen-Hui & Malthouse, Edward C., 2015. "The Effects of Adopting and Using a Brand's Mobile Application on Customers' Subsequent Purchase Behavior," Journal of Interactive Marketing, Elsevier, vol. 31(C), pages 28-41.
  49. Chen, Shiji & Qiu, Junping & Arsenault, Clément & Larivière, Vincent, 2021. "Exploring the interdisciplinarity patterns of highly cited papers," Journal of Informetrics, Elsevier, vol. 15(1).
  50. Matthias Bannert & David Iselin, 2015. "Ask Your Doctor or Pharmacist! On the Effect of Self-Dispensing Physicians on Pharmaceutical Coverage," KOF Working papers 15-387, KOF Swiss Economic Institute, ETH Zurich.
  51. Paul R. Rosenbaum, 2015. "Bahadur Efficiency of Sensitivity Analyses in Observational Studies," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 110(509), pages 205-217, March.
  52. Richard Berk & Lawrence Brown & Andreas Buja & Edward George & Emil Pitkin & Kai Zhang & Linda Zhao, 2014. "Misspecified Mean Function Regression," Sociological Methods & Research, , vol. 43(3), pages 422-451, August.
  53. Bo Zhang, 2023. "Efficient algorithms for building representative matched pairs with enhanced generalizability," Biometrics, The International Biometric Society, vol. 79(4), pages 3981-3997, December.
  54. Yu-Chen Kuo & Jia-Huey Lin, 2020. "Picking the lock: how universal healthcare programs influence entrepreneurial activities," Small Business Economics, Springer, vol. 54(1), pages 3-24, January.
  55. Guido W. Imbens, 2020. "Potential Outcome and Directed Acyclic Graph Approaches to Causality: Relevance for Empirical Practice in Economics," Journal of Economic Literature, American Economic Association, vol. 58(4), pages 1129-1179, December.
  56. Gonzalez-Uribe, Juanita & Reyes, Santiago, 2021. "Identifying and boosting “gazelles”: evidence from business accelerators," LSE Research Online Documents on Economics 103145, London School of Economics and Political Science, LSE Library.
  57. Zhiyuan Gao & Zhiling Guo & Qian Tang, 2022. "How do monetary incentives influence giving? An empirical investigation of matching subsidies on kiva," Information Systems and e-Business Management, Springer, vol. 20(2), pages 303-324, June.
  58. Pablo Geraldo Bast'ias, 2024. "Credible causal inference beyond toy models," Papers 2402.11659, arXiv.org.
  59. Ruoqi Yu, 2021. "Evaluating and improving a matched comparison of antidepressants and bone density," Biometrics, The International Biometric Society, vol. 77(4), pages 1276-1288, December.
  60. Kirchweger, Stefan & Kantelhardt, Jochen, 2014. "Structural Change and Farm Investment Support in Austria," 88th Annual Conference, April 9-11, 2014, AgroParisTech, Paris, France 170545, Agricultural Economics Society.
  61. Dridi, Ichrak & Boughrara, Adel, 2023. "Flexible inflation targeting and stock market volatility: Evidence from emerging market economies," Economic Modelling, Elsevier, vol. 126(C).
  62. Rüdiger Mutz & Hans-Dieter Daniel, 2012. "The generalized propensity score methodology for estimating unbiased journal impact factors," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(2), pages 377-390, August.
  63. Reed, Deborah K. & Aloe, Ariel M., 2020. "Interpreting the effectiveness of a summer reading program: The eye of the beholder," Evaluation and Program Planning, Elsevier, vol. 83(C).
  64. Huang, Wei & Li, Fan & Liao, Xiaowei & Hu, Pingping, 2018. "More money, better performance? The effects of student loans and need-based grants in China's higher education," China Economic Review, Elsevier, vol. 51(C), pages 208-227.
  65. Samuel D. Pimentel & Lauren Vollmer Forrow & Jonathan Gellar & Jiaqi Li, 2020. "Optimal matching approaches in health policy evaluations under rolling enrolment," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(4), pages 1411-1435, October.
  66. Riccardo D'Alberto & Francesco Pagliacci & Matteo Zavalloni, 2023. "A socioeconomic impact assessment of three Italian national parks," Journal of Regional Science, Wiley Blackwell, vol. 63(1), pages 114-147, January.
  67. Brian G. Vegetabile & Daniel L. Gillen & Hal S. Stern, 2020. "Optimally balanced Gaussian process propensity scores for estimating treatment effects," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(1), pages 355-377, January.
  68. Ruoqi Yu, 2023. "How well can fine balance work for covariate balancing," Biometrics, The International Biometric Society, vol. 79(3), pages 2346-2356, September.
  69. Zabrocki, Léo & Leroutier, Marion & Bind, Marie-Abèle, 2021. "Estimating the Causal Effects of Cruise Traffic on Air Pollution using Randomization-Based Inference," OSF Preprints v7ctk, Center for Open Science.
  70. Stefan KIRCHWEGER & Jochen KANTELHARDT & Friedrich LEISCH, 2015. "Impacts of the government-supported investments on the economic farm performance in Austria," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 61(8), pages 343-355.
  71. Sarah Friedrich & Gerd Antes & Sigrid Behr & Harald Binder & Werner Brannath & Florian Dumpert & Katja Ickstadt & Hans A. Kestler & Johannes Lederer & Heinz Leitgöb & Markus Pauly & Ansgar Steland & A, 2022. "Is there a role for statistics in artificial intelligence?," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 16(4), pages 823-846, December.
  72. Rodriguez, Javier M., 2018. "Health disparities, politics, and the maintenance of the status quo: A new theory of inequality," Social Science & Medicine, Elsevier, vol. 200(C), pages 36-43.
  73. Ben Weidmann & Luke Miratrix, 2021. "Lurking Inferential Monsters? Quantifying Selection Bias In Evaluations Of School Programs," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 40(3), pages 964-986, June.
  74. Marc Keuschnigg & Tobias Wolbring, 2015. "Disorder, social capital, and norm violation: Three field experiments on the broken windows thesis," Rationality and Society, , vol. 27(1), pages 96-126, February.
  75. Xiao‐Li Meng, 2021. "Enhancing (publications on) data quality: Deeper data minding and fuller data confession," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(4), pages 1161-1175, October.
  76. Zhang, Yingheng & Li, Haojie & Ren, Gang, 2022. "Quantifying the social impacts of the London Night Tube with a double/debiased machine learning based difference-in-differences approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 163(C), pages 288-303.
  77. Kim, Ja Young & Bartholomew, Keith & Ewing, Reid, 2020. "Another one rides the bus? The connections between bus stop amenities, bus ridership, and ADA paratransit demand," Transportation Research Part A: Policy and Practice, Elsevier, vol. 135(C), pages 280-288.
  78. Nattino, Giovanni & Song, Chi & Lu, Bo, 2022. "Polymatching algorithm in observational studies with multiple treatment groups," Computational Statistics & Data Analysis, Elsevier, vol. 167(C).
  79. Ting Ye & Luke Keele & Raiden Hasegawa & Dylan S. Small, 2020. "A Negative Correlation Strategy for Bracketing in Difference-in-Differences," Papers 2006.02423, arXiv.org, revised Jun 2022.
  80. Zhao, Anqi & Ding, Peng, 2021. "Covariate-adjusted Fisher randomization tests for the average treatment effect," Journal of Econometrics, Elsevier, vol. 225(2), pages 278-294.
  81. Nordjo, R. & Adjasi, C., 2018. "The Impact of Finance on Welfare of Smallholder Farm Household in Ghana," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277142, International Association of Agricultural Economists.
  82. Hao Dong & Daniel L. Millimet, 2020. "Propensity Score Weighting with Mismeasured Covariates: An Application to Two Financial Literacy Interventions," JRFM, MDPI, vol. 13(11), pages 1-24, November.
  83. Stephen C. Nelson & Geoffrey P. R. Wallace, 2017. "Are IMF lending programs good or bad for democracy?," The Review of International Organizations, Springer, vol. 12(4), pages 523-558, December.
  84. Kuha, Jouni & Sturgis, Patrick, 2016. "Comment on ‘what to do instead of significance testing? Calculating the “number of counterfactual cases needed to disturb a finding”’ by Stephen Gorard and Jonathan Gorard," LSE Research Online Documents on Economics 66035, London School of Economics and Political Science, LSE Library.
  85. Berger, Allen N. & Black, Lamont K. & Bouwman, Christa H.S. & Dlugosz, Jennifer, 2017. "Bank loan supply responses to Federal Reserve emergency liquidity facilities," Journal of Financial Intermediation, Elsevier, vol. 32(C), pages 1-15.
  86. Tenglong Li & Kenneth A. Frank, 2019. "On the probability of a causal inference is robust for internal validity," Papers 1906.08726, arXiv.org.
  87. Barbopoulos, Leonidas G. & Molyneux, Phil & Wilson, John O.S., 2016. "Earnout financing in the financial services industry," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 119-132.
  88. Lagazio, Corrado & Persico, Luca & Querci, Francesca, 2021. "Public guarantees to SME lending: Do broader eligibility criteria pay off?," Journal of Banking & Finance, Elsevier, vol. 133(C).
  89. Leavitt Thomas, 2023. "Randomization-based, Bayesian inference of causal effects," Journal of Causal Inference, De Gruyter, vol. 11(1), pages 1-25, January.
  90. Franz R. Hahn & Werner Hölzl & Claudia Kwapil, 2016. "The Credit Channel and the Role of Monetary Policy Before, During and After the Global Financial Crisis. A Micro Data Approach to the Analysis of Bank-firm Relationships," WIFO Studies, WIFO, number 59233.
  91. Bo Zhang & Siyu Heng & Emily J. MacKay & Ting Ye, 2022. "Bridging preference‐based instrumental variable studies and cluster‐randomized encouragement experiments: Study design, noncompliance, and average cluster effect ratio," Biometrics, The International Biometric Society, vol. 78(4), pages 1639-1650, December.
  92. David R. Bell & Santiago Gallino & Antonio Moreno, 2020. "Customer Supercharging in Experience-Centric Channels," Management Science, INFORMS, vol. 66(9), pages 4096-4107, September.
  93. Chartier, Mariette & Enns, Jennifer E & Nickel, Nathan C & Campbell, Rhonda & Phillips-Beck, Wanda & Sarkar, Joykrishna & Lee, Janelle Boram & Burland, Elaine & Chateau, Dan & Katz, Alan & Santos, Rob, 2020. "The association of a paraprofessional home visiting intervention with lower child maltreatment rates in First Nation families in Canada: A population-based retrospective cohort study," Children and Youth Services Review, Elsevier, vol. 108(C).
  94. Marina Dias & Demian Pouzo, 2021. "Inference for multi-valued heterogeneous treatment effects when the number of treated units is small," Papers 2105.10965, arXiv.org.
  95. Richard Berk, 2011. "Evidence-Based Versus Junk-Based Evaluation Research," Evaluation Review, , vol. 35(3), pages 191-203, June.
  96. Bo Zhang & Dylan S. Small, 2020. "A calibrated sensitivity analysis for matched observational studies with application to the effect of second‐hand smoke exposure on blood lead levels in children," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 69(5), pages 1285-1305, November.
  97. Kristin Turney, 2017. "The Unequal Consequences of Mass Incarceration for Children," Demography, Springer;Population Association of America (PAA), vol. 54(1), pages 361-389, February.
  98. Nilabhra Bhattacharya & Bidisha Chakrabarty & Xu (Frank) Wang, 2020. "High-frequency traders and price informativeness during earnings announcements," Review of Accounting Studies, Springer, vol. 25(3), pages 1156-1199, September.
  99. David Puelz & Guillaume Basse & Avi Feller & Panos Toulis, 2022. "A graph‐theoretic approach to randomization tests of causal effects under general interference," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 84(1), pages 174-204, February.
  100. Tenglong Li & Jordan Lawson, 2021. "A generalized bootstrap procedure of the standard error and confidence interval estimation for inverse probability of treatment weighting," Papers 2109.00171, arXiv.org.
  101. Margitta Minah, 2022. "What is the influence of government programs on farmer organizations and their impacts? Evidence from Zambia," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 93(1), pages 29-53, March.
  102. Chagas, André L.S. & Azzoni, Carlos R. & Almeida, Alexandre N., 2016. "A spatial difference-in-differences analysis of the impact of sugarcane production on respiratory diseases," Regional Science and Urban Economics, Elsevier, vol. 59(C), pages 24-36.
  103. Tenglong Li & Kenneth A. Frank & Mingming Chen, 2024. "A Conceptual Framework for Quantifying the Robustness of a Regression-Based Causal Inference in Observational Study," Mathematics, MDPI, vol. 12(3), pages 1-14, January.
  104. Richard Aviles-Lopez & Juan de Dios Luna del Castillo & Miguel Ángel Montero-Alonso, 2023. "Exploratory Matching Model Search Algorithm (EMMSA) for Causal Analysis: Application to the Cardboard Industry," Mathematics, MDPI, vol. 11(21), pages 1-34, October.
  105. Edward Feser, 2013. "Isserman’s Impact," International Regional Science Review, , vol. 36(1), pages 44-68, January.
  106. Adam C. Sales & Ben B. Hansen & Brian Rowan, 2018. "Rebar: Reinforcing a Matching Estimator With Predictions From High-Dimensional Covariates," Journal of Educational and Behavioral Statistics, , vol. 43(1), pages 3-31, February.
  107. Fukui Hideki, 2023. "Evaluating Different Covariate Balancing Methods: A Monte Carlo Simulation," Statistics, Politics and Policy, De Gruyter, vol. 14(2), pages 205-326, June.
  108. Zhexiao Lin & Peng Ding & Fang Han, 2021. "Estimation based on nearest neighbor matching: from density ratio to average treatment effect," Papers 2112.13506, arXiv.org.
  109. Xinkun Nie & Guido Imbens & Stefan Wager, 2021. "Covariate Balancing Sensitivity Analysis for Extrapolating Randomized Trials across Locations," Papers 2112.04723, arXiv.org.
  110. Ameed Saabneh, 2015. "Ethnic Health Inequalities in Unequal Societies: Morbidity Gaps Between Palestinians and Jews in Israel," European Journal of Population, Springer;European Association for Population Studies, vol. 31(4), pages 445-466, October.
  111. Pongpitch Amatyakul & Panchanok Jumrustanasan & Pornchanok Tapkham, 2023. "What can 20 billion financial transactions tell us about the impacts of Covid-19 fiscal transfers?," BIS Working Papers 1130, Bank for International Settlements.
  112. Pierce, Hayley & Heaton, Tim B. & Hoffmann, John, 2014. "Increasing maternal healthcare use in Rwanda: Implications for child nutrition and survival," Social Science & Medicine, Elsevier, vol. 107(C), pages 61-67.
  113. Minna Genbäck & Elena Stanghellini & Xavier Luna, 2015. "Uncertainty intervals for regression parameters with non-ignorable missingness in the outcome," Statistical Papers, Springer, vol. 56(3), pages 829-847, August.
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