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Martin Huber

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Huber, Martin & Lechner, Michael & Wunsch, Conny & Walter, Thomas, 2009. "Do German Welfare-to-Work Programmes Reduce Welfare and Increase Work?," IZA Discussion Papers 4090, IZA Network @ LISER.

    Mentioned in:

    1. Welfare-to-work programs work, sort of
      by Economic Logician in Economic Logic on 2009-04-27 19:00:00

Working papers

  1. Grenet, Julien & Grönqvist, Hans & Niknami, Susan, 2025. "The effects of electronic monitoring on offenders and their families," Working Paper Series 2025:12, IFAU - Institute for Evaluation of Labour Market and Education Policy.

    Cited by:

    1. Ohrnberger, Julius & Anselmi, Laura & Fichera, Eleonora & Sutton, Matt, 2020. "The effect of cash transfers on mental health: Opening the black box – A study from South Africa," Social Science & Medicine, Elsevier, vol. 260(C).
    2. Al Weswasi, Enes, 2025. "Effect of early prison release with electronic monitoring," Journal of Criminal Justice, Elsevier, vol. 97(C).
    3. Jansson, Joakim & Petterson-Lidbom, Per & Priks, Mikael & Tyrefors, Björn, 2025. "Sentence Length and Recidivism: Court Rulings based on BAC," Working Paper Series 1536, Research Institute of Industrial Economics.
    4. Nissinen, Ilona & Latvala, Antti & Suonpää, Karoliina & Aaltonen, Mikko & Martikainen, Pekka, 2024. "Parental incarceration and offspring criminality: A Finnish total population study with sibling comparison," Journal of Criminal Justice, Elsevier, vol. 95(C).

  2. Nicolas Apfel & Julia Hatamyar & Martin Huber & Jannis Kueck, 2024. "Learning control variables and instruments for causal analysis in observational data," Papers 2407.04448, arXiv.org, revised Sep 2025.

    Cited by:

    1. Gregor Steiner & Mark Steel, 2025. "Bayesian Model Averaging in Causal Instrumental Variable Models," Papers 2504.13520, arXiv.org, revised Feb 2026.

  3. Martin Huber & Eva-Maria Oe{ss}, 2024. "A joint test of unconfoundedness and common trends," Papers 2404.16961, arXiv.org, revised Jun 2024.

    Cited by:

    1. Michael C. Knaus & Henri Pfleiderer, 2026. "Causal Graphs for Conditional Parallel Trends," Papers 2604.12818, arXiv.org.
    2. Bach, Philipp & Klaaßen, Sven & Kueck, Jannis & Mattes, Mara & Spindler, Martin, 2025. "Sensitivity analysis for treatment effects in difference-in-differences models using Riesz Rrepresentation," Discussion Papers 2025/7, Free University Berlin, School of Business & Economics.
    3. Fabrizia Mealli & Javier Viviens, 2025. "Difference-in-Differences in the Presence of Unknown Interference," Papers 2512.21176, arXiv.org, revised Feb 2026.

  4. Julia Hatamyar & Noemi Kreif & Rudi Rocha & Martin Huber, 2023. "Machine Learning for Staggered Difference-in-Differences and Dynamic Treatment Effect Heterogeneity," Papers 2310.11962, arXiv.org.

    Cited by:

    1. Mark Kattenberg & Bas Scheer & Jurre Thiel, 2023. "Causal forests with fixed effects for treatment effect heterogeneity in difference-in-differences," CPB Discussion Paper 452, CPB Netherlands Bureau for Economic Policy Analysis.
    2. Gregory Faletto, 2023. "Fused Extended Two-Way Fixed Effects for Difference-in-Differences With Staggered Adoptions," Papers 2312.05985, arXiv.org, revised Apr 2025.

  5. Henrika Langen & Martin Huber, 2022. "How causal machine learning can leverage marketing strategies: Assessing and improving the performance of a coupon campaign," Papers 2204.10820, arXiv.org, revised Jun 2022.

    Cited by:

    1. Anna Baiardi & Paul S. Clarke & Andrea A. Naghi & Annalivia Polselli, 2026. "Double Machine Learning for Static Panel Data with Instrumental Variables: New Method and Applications," Papers 2603.20464, arXiv.org.
    2. Heny Hendrayati & Frederic Marimon & Wu-Yuin Hwang & Tia Yuliawati & Perengki Susanto & Rahmiati Rahmiati, 2025. "Customer relationship management and value creation as key mediators of female-owned MSMEs’ market performance," Journal of Innovation and Entrepreneurship, Springer, vol. 14(1), pages 1-25, December.
    3. von Zahn, Moritz & Bauer, Kevin & Mihale-Wilson, Cristina & Jagow, Johanna & Speicher, Max & Hinz, Oliver, 2022. "The smart green nudge: Reducing product returns through enriched digital footprints & causal machine learning," SAFE Working Paper Series 363, Leibniz Institute for Financial Research SAFE, revised 2022.
    4. Goller, Daniel & Lechner, Michael & Pongratz, Tamara & Wolff, Joachim, 2025. "Active labor market policies for the long-term unemployed: New evidence from causal machine learning," Labour Economics, Elsevier, vol. 94(C).

  6. Nicolas Apfel & Helmut Farbmacher & Rebecca Groh & Martin Huber & Henrika Langen, 2022. "Detecting Grouped Local Average Treatment Effects and Selecting True Instruments," Papers 2207.04481, arXiv.org, revised Oct 2023.

    Cited by:

    1. Nicolas Apfel & Julia Hatamyar & Martin Huber & Jannis Kueck, 2024. "Learning control variables and instruments for causal analysis in observational data," Papers 2407.04448, arXiv.org, revised Sep 2025.

  7. Martin Huber & Jannis Kueck, 2022. "Testing the identification of causal effects in observational data," Papers 2203.15890, arXiv.org, revised Jun 2023.

    Cited by:

    1. Martin Huber & Jannis Kueck & Mara Mattes, 2026. "Learning and Testing Exposure Mappings of Interference using Graph Convolutional Autoencoder," Papers 2601.05728, arXiv.org.
    2. Bach, Philipp & Klaaßen, Sven & Kueck, Jannis & Mattes, Mara & Spindler, Martin, 2025. "Sensitivity analysis for treatment effects in difference-in-differences models using Riesz Rrepresentation," Discussion Papers 2025/7, Free University Berlin, School of Business & Economics.
    3. Philipp Bach & Sven Klaassen & Jannis Kueck & Mara Mattes & Martin Spindler, 2025. "Sensitivity Analysis for Treatment Effects in Difference-in-Differences Models using Riesz Representation," Papers 2510.09064, arXiv.org.
    4. Martin Huber, 2024. "An Introduction to Causal Discovery," Papers 2407.08602, arXiv.org.

  8. Berno Buechel & Selina Gangl & Martin Huber, 2021. "How residence permits affect the labor market attachment of foreign workers: Evidence from a migration lottery in Liechtenstein," Papers 2105.11840, arXiv.org.

    Cited by:

    1. Zhao, Jing & Shangguan, Yiwen & Li, Qinghai, 2025. "Better late than never: The impact of hukou conversion experience on employment quality with urban residents in China," Structural Change and Economic Dynamics, Elsevier, vol. 74(C), pages 286-302.

  9. Selina Gangl & Martin Huber, 2021. "From homemakers to breadwinners? How mandatory kindergarten affects maternal labour market outcomes," Papers 2111.14524, arXiv.org, revised Mar 2025.

    Cited by:

    1. Gordon Dahl & Katrine V. Loken & Gordon B. Dahl & Katrine Vellesen Loken, 2024. "Families, Public Policies, and the Labor Market," CESifo Working Paper Series 11549, CESifo.

  10. Gangl, Selina & Huber, Martin, 2021. "From homemakers to breadwinners? How mandatory kindergarten affects maternal labour market attachment," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203636, Verein für Socialpolitik / German Economic Association, revised 2021.

    Cited by:

    1. Chuard, Caroline & Aerne, Annatina & Eugster, Beatrix & Hodler, Roland, 2025. "Ethnic clustering in schools and early career outcomes," Economics of Education Review, Elsevier, vol. 106(C).

  11. Simon Berset & Martin Huber & Mark Schelker, 2021. "The fiscal response to revenue shocks," Papers 2101.07661, arXiv.org.

    Cited by:

    1. Alessandro Bellocchi & Chiara Lodi & Giovanni Marin & Giuseppe Travaglini & Matteo Zavalloni, 2025. "Floods, Public Budgets and Fiscal Resilience: Evidence from Italian Municipalities," SEEDS Working Papers 1625, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Dec 2025.
    2. Davide Antonioli & Elisa Chioatto & Ginevra Coletti & Asia Guerreschi & Susanna Mancinelli & Massimiliano Mazzanti & Giuseppe Rocco & Emy Zecca, 2025. "Understanding Sustainability and Innovation: A Collection of Survey Evidence from Italian Contexts," SEEDS Working Papers 1725, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Dec 2025.
    3. Rodion V. Balakin & Yuliya A. Steshenko, 2024. "Review of Approaches to Assessing the Impact of New Challenges on the Economy and Certain Aspects of Taxation," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 3, pages 68-85, June.
    4. Mauri, Nicola & Peter, Linus, 2025. "The influence of intergovernmental transfers on local taxes: Evidence from Switzerland," Regional Science and Urban Economics, Elsevier, vol. 115(C).
    5. David R. Agrawal & Jan K. Brueckner & Marius Brülhart, 2024. "Fiscal Federalism in the 21st Century," CESifo Working Paper Series 10951, CESifo.
    6. Simone Maxand & Hend Sallam, 2024. "Local Fiscal Effects of Immigration in Germany," CESifo Working Paper Series 11162, CESifo.

  12. Martin Huber & Jonas Meier & Hannes Wallimann, 2021. "Business analytics meets artificial intelligence: Assessing the demand effects of discounts on Swiss train tickets," Papers 2105.01426, arXiv.org, revised Jun 2022.

    Cited by:

    1. Yoganathan, Vignesh & Osburg, Victoria-Sophie, 2024. "The mind in the machine: Estimating mind perception's effect on user satisfaction with voice-based conversational agents," Journal of Business Research, Elsevier, vol. 175(C).
    2. Yan, Ran & Liu, Yan & Wang, Shuaian, 2024. "A data-driven optimization approach to improving maritime transport efficiency," Transportation Research Part B: Methodological, Elsevier, vol. 180(C).
    3. Thommen, Christoph & Hintermann, Beat, 2023. "Price versus Commitment: Managing the demand for off-peak train tickets in a field experiment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 174(C).
    4. Blättler, Kevin & Wallimann, Hannes & von Arx, Widar, 2024. "Free public transport to the destination: A causal analysis of tourists’ travel mode choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 187(C).
    5. Chen, Pengyu & Chu, Zhongzhu & Zhao, Miao, 2024. "The Road to corporate sustainability: The importance of artificial intelligence," Technology in Society, Elsevier, vol. 76(C).
    6. Wallimann, Hannes, 2024. "Austria’s KlimaTicket: Assessing the short-term impact of a cheap nationwide travel pass on demand," Transport Policy, Elsevier, vol. 159(C), pages 201-214.
    7. Mercedes Elena Martínez Zabaleta & Raúl Enrique Rodríguez Luna, 2023. "Inteligencia empresarial y su rol en la generación de valor en los procesos de negocios," Revista Tendencias, Universidad de Narino, vol. 24(1), pages 226-251.
    8. Hannes Wallimann & Kevin Blattler & Widar von Arx, 2021. "Do price reductions attract customers in urban public transport? A synthetic control approach," Papers 2111.14613, arXiv.org, revised Mar 2022.
    9. Xu, Haonan & Liu, Jiaguo & Xu, Xiaofeng & Chen, Jihong & Yue, Xiaohang, 2024. "The impact of AI technology adoption on operational decision-making in competitive heterogeneous ports☆," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 183(C).
    10. Hannes Wallimann, 2024. "Austria's KlimaTicket: Assessing the short-term impact of a cheap nationwide travel pass on demand," Papers 2401.06835, arXiv.org, revised Feb 2024.
    11. Wang, Jiangbo & Guo, Yuying & Wu, Jiyan & Liu, Kai & Chen, Anthony & Yamamoto, Toshiyuki, 2026. "Should customized bus services offer long-term tickets? An analysis of profitability and market impact," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 205(C).
    12. Kevin Blattler & Hannes Wallimann & Widar von Arx, 2024. "Free public transport to the destination: A causal analysis of tourists' travel mode choice," Papers 2401.14945, arXiv.org, revised Feb 2024.
    13. Henrika Langen & Martin Huber, 2022. "How causal machine learning can leverage marketing strategies: Assessing and improving the performance of a coupon campaign," Papers 2204.10820, arXiv.org, revised Jun 2022.
    14. Yingheng Zhang & Haojie Li & Gang Ren, 2025. "Data-driven exploration of heterogeneous gasoline price elasticities using generalized random forests," Transportation, Springer, vol. 52(1), pages 215-237, February.
    15. Patrick Rehill, 2024. "How do applied researchers use the Causal Forest? A methodological review of a method," Papers 2404.13356, arXiv.org, revised Dec 2024.

  13. Helmut Farbmacher & Martin Huber & Luk'av{s} Laff'ers & Henrika Langen & Martin Spindler, 2020. "Causal mediation analysis with double machine learning," Papers 2002.12710, arXiv.org, revised Feb 2021.

    Cited by:

    1. Chang, Zhenghao & Zhou, Hang & Ruan, Mengyu & Li, Qin, 2025. "When major customers matter: customer concentration and ESG rating disagreement," Journal of Contemporary Accounting and Economics, Elsevier, vol. 21(3).
    2. Chiara Di Maria, 2025. "Investigating the Causal Effect of Deforestation on Infant Health Through Soil Characteristics: A Comparison of Traditional and Machine Learning Mediation Analysis Using Simulated and Real Data," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 30(2), pages 466-490, June.
    3. Jonathan Fuhr & Philipp Berens & Dominik Papies, 2024. "Estimating Causal Effects with Double Machine Learning -- A Method Evaluation," Papers 2403.14385, arXiv.org, revised Apr 2024.
    4. Hugo Bodory & Martin Huber & Luk'av{s} Laff'ers, 2020. "Evaluating (weighted) dynamic treatment effects by double machine learning," Papers 2012.00370, arXiv.org, revised Jun 2021.
    5. Linsen Zhu & Yan Li & Lei Suo & Haiying Feng, 2025. "The Impact of High-Quality Development of Foreign Trade on Marine Economic Quality: Empirical Evidence from Coastal Provinces and Cities in China," Sustainability, MDPI, vol. 17(17), pages 1-29, August.
    6. Huang, Zhehao & Dong, Hao & Liu, Zhaofei & Albitar, Khaldoon, 2025. "Unleashing the empowered effect of data resource on inclusive green growth: Based on double machine learning," Economic Analysis and Policy, Elsevier, vol. 85(C), pages 1270-1290.
    7. Nora Bearth & Michael Lechner, 2024. "Causal Machine Learning for Moderation Effects," Papers 2401.08290, arXiv.org, revised Jan 2025.
    8. Ding, Yijiu & Li, Bo & Ma, Shenglin & Yu, Chunrong & Zhao, Xiaoyi, 2025. "Digital transformation and wage distortion in R&D and innovation activities - Causal inference based on double machine learning," International Review of Financial Analysis, Elsevier, vol. 106(C).
    9. Ding, Yijiu & Li, Bo & Lan, Dahai & Yu, Chunrong & Zhang, Xueqing, 2025. "Research on wage distortion in R&D and innovation activities —— Evidence from China's listed manufacturing enterprises," International Review of Economics & Finance, Elsevier, vol. 102(C).
    10. Su, Xiaoying & Zha, Donglan & Zhang, Chaoqun & Zhao, Kuokuo, 2025. "Does household lifestyle impact the decarbonization effect of carbon generalized system of preferences? Evidence from household survey in China," Journal of Asian Economics, Elsevier, vol. 98(C).
    11. Michael Lechner, 2023. "Causal Machine Learning and its use for public policy," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 159(1), pages 1-15, December.
    12. Yuanyuan Zhang & Yongzhou Chen & Rong Xu, 2025. "The Health Cost of Rural Banquet Culture: The Mediating Role of Labor Time and Health Decision-Making—Evidence from Jiangsu, China," Sustainability, MDPI, vol. 17(12), pages 1-24, June.
    13. Wang, Xu & Liu, Yingjie & Li, Wei & He, Lingyun & Chi, Cheng & Zhong, Yanni, 2025. "Market-based emissions regulation and capacity governance in China’s high-carbon firms: Theoretical investigation and empirical evidence," Economic Analysis and Policy, Elsevier, vol. 87(C), pages 1-17.
    14. Martin Huber & Sarina Joy Oberhansli, 2026. "Difference-in-differences for mediation analysis using double machine learning," Papers 2602.23877, arXiv.org.
    15. Yangyang Zhong & Yilin Zhong & Longpeng Zhang & Zhiwei Tang, 2024. "The Path to Urban Sustainability: Urban Intelligent Transformation and Green Development—Evidence from 286 Cities in China," Sustainability, MDPI, vol. 16(23), pages 1-32, November.
    16. Zemenghong Bao & Zhisen Lin & Tiantian Jin & Kun Lv, 2024. "Regional Breakthrough Innovation Change Strategies, Ecological Location Suitability of High-Tech Industry Innovation Ecosystems, and Green Energy," Energies, MDPI, vol. 17(16), pages 1-34, August.
    17. Zhang, Yingheng & Li, Haojie & Ren, Gang, 2025. "Analysing the role of traffic volume as mediator in transport policy evaluation with causal mediation analysis and targeted learning," Transportation Research Part A: Policy and Practice, Elsevier, vol. 192(C).
    18. Ruiyu Hu & Zemenghong Bao & Zhisen Lin & Kun Lv, 2024. "The Innovative Construction of Provinces, Regional Artificial Intelligence Development, and the Resilience of Regional Innovation Ecosystems: Quasi-Natural Experiments Based on Spatial Difference-in-Differences Models and Double Machine Learning," Sustainability, MDPI, vol. 16(18), pages 1-37, September.
    19. Xinyu Wei & Mingwang Cheng & Kaifeng Duan & Xiangxing Kong, 2024. "Effects of Big Data on PM 2.5 : A Study Based on Double Machine Learning," Land, MDPI, vol. 13(3), pages 1-21, March.
    20. Rahul Singh & Liyuan Xu & Arthur Gretton, 2021. "Sequential Kernel Embedding for Mediated and Time-Varying Dose Response Curves," Papers 2111.03950, arXiv.org, revised Mar 2025.
    21. Dongli Chen & Qianxuan Huang, 2024. "The New Policy for Innovative Transformation in Regional Industrial Chains, the Conversion of New and Old Kinetic Energy, and Energy Poverty Alleviation," Energies, MDPI, vol. 17(11), pages 1-37, May.
    22. Yingheng Zhang & Haojie Li & Gang Ren, 2025. "Ex-post evaluation of transport interventions with causal mediation analysis," Transportation, Springer, vol. 52(1), pages 93-126, February.
    23. Wang, Lulu & Lyu, Jie & Wang, Shanshan & Zhang, Junyan, 2025. "Unveiling the influence of agricultural mechanization on greenhouse gas emission intensity: Insights from China using causal machine learning model," Agricultural Systems, Elsevier, vol. 226(C).
    24. Yunpeng Fu & Zixuan Wang & Wenjia Zhao, 2025. "The Impact of Information Consumption Pilot Policy on Urban Land Green Use Efficiency: An Empirical Study from China," Land, MDPI, vol. 14(5), pages 1-31, April.
    25. AmirEmad Ghassami & Andrew Ying & Ilya Shpitser & Eric Tchetgen Tchetgen, 2021. "Minimax Kernel Machine Learning for a Class of Doubly Robust Functionals with Application to Proximal Causal Inference," Papers 2104.02929, arXiv.org, revised Mar 2022.
    26. Helena Chuliá & Sabuhi Khalili & Jorge M. Uribe, 2024. "Monitoring time-varying systemic risk in sovereign debt and currency markets with generative AI," IREA Working Papers 202402, University of Barcelona, Research Institute of Applied Economics, revised Feb 2024.
    27. Aleksei Opacic, 2025. "Monotonic Path-Specific Effects: Application to Estimating Educational Returns," Papers 2508.13366, arXiv.org, revised Feb 2026.
    28. Lulu Wang & Jie Lyu & Junyan Zhang, 2024. "Explicating the Role of Agricultural Socialized Services on Chemical Fertilizer Use Reduction: Evidence from China Using a Double Machine Learning Model," Agriculture, MDPI, vol. 14(12), pages 1-16, November.
    29. Kentaro Kawato, 2025. "Balancing Weights for Causal Mediation Analysis," Papers 2512.09337, arXiv.org.
    30. Wang, Wenna & Yang, Zhen & Chen, Jin & Liu, Jingjiang, 2025. "How does ESG affect government procurement in countries where ESG systems are established from the top down?," Economic Modelling, Elsevier, vol. 146(C).
    31. Jiahui Li & Yu Yang & Yuqi Ye, 2025. "Rural Tourism, Economic Growth, and Environmental Sustainability: Empirical Evidence Based on County-Level Data in China," Sustainability, MDPI, vol. 17(20), pages 1-32, October.
    32. Rahul Singh & Liyuan Xu & Arthur Gretton, 2020. "Kernel Methods for Causal Functions: Dose, Heterogeneous, and Incremental Response Curves," Papers 2010.04855, arXiv.org, revised Oct 2022.
    33. Linlin Wu & Zhen Qin & Peng Jing & Ying Xue & Danning Shao & Pan Luo, 2025. "The Causal Effect of Active School Travel on Children’s Subjective Well-Being: Evidence from the China Family Panel Survey," Journal of Happiness Studies, Springer, vol. 26(6), pages 1-28, August.
    34. Li, Pengshi & Lin, Yan & Yu, Xing & Liu, Guifang, 2025. "Does bid-ask spread explains the smile? On DVF and DML," Pacific-Basin Finance Journal, Elsevier, vol. 90(C).
    35. Yuchen Lu & Jiakun Zhuang & Jun Chen & Chenlu Yang & Mei Kong, 2025. "The Impact of Farmland Transfer on Urban–Rural Integration: Causal Inference Based on Double Machine Learning," Land, MDPI, vol. 14(1), pages 1-30, January.
    36. Jingwen Zhang & Yi Liu, 2025. "How Does Digital Innovation Empower the Development of New Quality Productive Forces? An Empirical Study Based on Double Machine Learning," Sustainability, MDPI, vol. 17(6), pages 1-29, March.
    37. Kangqi Jiang & Xiaofeng Chen & Jiayun Li & Mengling Zhou, 2025. "Technology adoption and extreme stock risk: Evidence from digital tax reform in China," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-20, December.
    38. Lu Kang & Jie Lv & Haoyang Zhang, 2024. "Can the Water Resource Fee-to-Tax Reform Promote the “Three-Wheel Drive” of Corporate Green Energy-Saving Innovations? Quasi-Natural Experimental Evidence from China," Energies, MDPI, vol. 17(12), pages 1-38, June.
    39. Shen, Neng & Zhang, Lin & Wang, Qunwei & Wu, Lianjun, 2025. "The power of institutional innovation in the urban carbon unlocking: A study on collaborative empowerment of digital policy and new energy policy," Energy Policy, Elsevier, vol. 206(C).
    40. Yang, Bai & Huang, Jingfeng & Chen, Yinzhong, 2025. "The relationship between ESG ratings and digital technological innovation in manufacturing: Insights via dual machine learning models," Finance Research Letters, Elsevier, vol. 71(C).
    41. Hu, Zheng & Xu, Yingzhi, 2025. "Can new energy demonstration cities break through the multiple carbon lock-in? Evidence based on double machine learning," Energy Policy, Elsevier, vol. 199(C).
    42. Wang, Yewen & Tang, Jiaxuan & Li, Cheng, 2025. "Registration reform and stock mispricing: Causal inference based on double machine learning," Research in International Business and Finance, Elsevier, vol. 73(PB).
    43. Song, Hongti & Chen, Wei, 2025. "A digital blueprint for sustainability: Can digital infrastructure policies promote renewable energy innovation?," Renewable Energy, Elsevier, vol. 244(C).
    44. Qi, Cong & Li, Shuang & Guo, Xiucheng, 2026. "Examining the causal effects of teleworking on mode-specific travel frequencies: A double machine learning analysis using panel data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 203(C).
    45. Ruonan Cai & Wencan Tian & Rundong Luo & Zhichao Fang & Zhigang Hu, 2025. "Do articles with multiple corresponding authorships have a citation advantage? A double machine learning analysis approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 130(5), pages 2523-2550, May.
    46. Victor Chernozhukov & Whitney K. Newey & Rahul Singh, 2022. "Automatic Debiased Machine Learning of Causal and Structural Effects," Econometrica, Econometric Society, vol. 90(3), pages 967-1027, May.
    47. Evan D. Peet & Dana Schultz & Susan Lovejoy & Fuchiang (Rich) Tsui, 2024. "The infant health effects of doulas: Leveraging big data and machine learning to inform cost‐effective targeting," Health Economics, John Wiley & Sons, Ltd., vol. 33(6), pages 1387-1411, June.
    48. Wang, Zhenzhen & Zhou, Feite & Zhong, Junhao, 2024. "Can China's low-carbon city pilot policy facilitate carbon neutrality? Evidence from a machine learning approach," Economic Analysis and Policy, Elsevier, vol. 84(C), pages 756-773.
    49. Shi, Huiyi & Xia, Yufei & Li, Yawen & Hua, Yifan & Fu, Yating, 2025. "Data asset information disclosure divergence and green innovation: causal evidence from double-debiased machine learning," Finance Research Letters, Elsevier, vol. 84(C).
    50. Kang, Shikang & Shang, Yu, 2025. "How artificial intelligence drives industrial digitalization and greening synergies? Evidence from China's AI innovation and development pilot zones," Technology in Society, Elsevier, vol. 83(C).

  14. Michela Bia & Martin Huber & Luk'av{s} Laff'ers, 2020. "Double machine learning for sample selection models," Papers 2012.00745, arXiv.org, revised Jul 2021.

    Cited by:

    1. Zhewen Pan & Yifan Zhang, 2024. "Locally robust semiparametric estimation of sample selection models without exclusion restrictions," Papers 2412.01208, arXiv.org.
    2. Sofiia Dolgikh & Bodan Potanin, 2025. "Double machine learning for causal inference in a multivariate sample selection model," Papers 2511.12640, arXiv.org.
    3. Haowen Bao & Yongmiao Hong & Yuying Sun & Shouyang Wang, 2024. "Sparse Interval-valued Time Series Modeling with Machine Learning," Papers 2411.09452, arXiv.org.
    4. Fang, Yan & Liu, Yinglin & Yang, Yi & Lucey, Brian & Abedin, Mohammad Zoynul, 2025. "How do Chinese urban investment bonds affect its economic resilience? Evidence from double machine learning," Research in International Business and Finance, Elsevier, vol. 74(C).

  15. Martin Huber & Luk'av{s} Laff'ers, 2020. "Bounds on direct and indirect effects under treatment/mediator endogeneity and outcome attrition," Papers 2002.05253, arXiv.org, revised May 2020.

    Cited by:

    1. Daniel Kaliski, 2023. "Identifying the impact of health insurance on subgroups with changing rates of diagnosis," Health Economics, John Wiley & Sons, Ltd., vol. 32(9), pages 2098-2112, September.

  16. Huber, Martin & Imhof, David, 2020. "Transnational machine learning with screens for flagging bid-rigging cartels," FSES Working Papers 519, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.

    Cited by:

    1. David Imhof & Emanuel W Viklund & Martin Huber, 2025. "Catching Bid-rigging Cartels with Graph Attention Neural Networks," Papers 2507.12369, arXiv.org, revised Jul 2025.
    2. Buechel Berno & Klößner, Stefan & Meng, Fanyuan & Nassar, Anis, 2022. "Misinformation due to asymmetric information sharing," FSES Working Papers 528, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    3. Hannes Wallimann & Silvio Sticher, 2023. "On suspicious tracks: machine-learning based approaches to detect cartels in railway-infrastructure procurement," Papers 2304.11888, arXiv.org.
    4. Aaltio, Aapo & Buri, Riku & Jokelainen, Antto & Lundberg, Johan, 2025. "Complementary bidding and cartel detection: Evidence from Nordic asphalt markets," International Journal of Industrial Organization, Elsevier, vol. 98(C).
    5. David P. Brown & Andrew Eckert & Douglas Silveira, 2023. "Screening for Collusion in Wholesale Electricity Markets: A Review of the Literature," Working Papers 2023-07, University of Alberta, Department of Economics.
    6. Bedri Kamil Onur Tas, 2024. "A machine learning approach to detect collusion in public procurement with limited information," Journal of Computational Social Science, Springer, vol. 7(2), pages 1913-1935, October.
    7. Imhof, David & Wallimann, Hannes, 2021. "Detecting bid-rigging coalitions in different countries and auction formats," International Review of Law and Economics, Elsevier, vol. 68(C).
    8. Huber, Martin & Imhof, David, 2023. "Flagging cartel participants with deep learning based on convolutional neural networks," International Journal of Industrial Organization, Elsevier, vol. 89(C).
    9. Silveira, Douglas & de Moraes, Lucas B. & Fiuza, Eduardo P.S. & Cajueiro, Daniel O., 2023. "Who are you? Cartel detection using unlabeled data," International Journal of Industrial Organization, Elsevier, vol. 88(C).
    10. Jeremy Proz & Martin Huber, 2025. "Machine Learning for Detecting Collusion and Capacity Withholding in Wholesale Electricity Markets," Papers 2508.09885, arXiv.org, revised Dec 2025.
    11. Hannes Wallimann & David Imhof & Martin Huber, 2023. "A Machine Learning Approach for Flagging Incomplete Bid-Rigging Cartels," Computational Economics, Springer;Society for Computational Economics, vol. 62(4), pages 1669-1720, December.
    12. Wallimann, Hannes & Sticher, Silvio, 2023. "On suspicious tracks: Machine-learning based approaches to detect cartels in railway-infrastructure procurement," Transport Policy, Elsevier, vol. 143(C), pages 121-131.
    13. Brown, David P. & Eckert, Andrew & Silveira, Douglas, 2023. "Screening for collusion in wholesale electricity markets: A literature review," Utilities Policy, Elsevier, vol. 85(C).

  17. Ana Fernandes & Martin Huber & Giannina Vaccaro, 2020. "Gender Differences in Wage Expectations," Papers 2003.11496, arXiv.org.

    Cited by:

    1. Maria A. Cattaneo, 2022. "What wages do people expect for vocational and academic education backgrounds in Switzerland?," Economics of Education Working Paper Series 0197, University of Zurich, Department of Business Administration (IBW).
    2. Lukas Kiessling & Pia Pinger & Philipp Seegers & Jan Bergerhoff, 2024. "Gender Differences in Wage Expectations and Negotiation," CRC TR 224 Discussion Paper Series crctr224_2024_496, University of Bonn and University of Mannheim, Germany.
    3. Stephanie Briel & Aderonke Osikominu & Gregor Pfeifer & Mirjam Reutter & Sascha Satlukal, 2022. "Gender differences in wage expectations: the role of biased beliefs," Empirical Economics, Springer, vol. 62(1), pages 187-212, January.
    4. Fröberg, Emelie & Säve-Söderbergh, Jenny & Wahlund, Richard & Wiley Wakeman, S., 2023. "The promise (and peril) in approaching gender parity: Preregistered survey experiments addressing gender inequality in negotiations," Labour Economics, Elsevier, vol. 83(C).
    5. Joko SUSANTO & Miguel Angel Esquivias PADILLA, 2024. "The nexus between economic growth and educated unemployment," Romanian Journal of Economics, Institute of National Economy, vol. 59(2(68)), pages 36-47, December.
    6. Joaquim Silva & Ana Carvalho, 2021. "The Work Values of Portuguese Generation Z in the Higher Education-to-Work Transition Phase," Social Sciences, MDPI, vol. 10(8), pages 1-16, August.
    7. Deschênes, Sarah & Dumas, Christelle & Lambert, Sylvie, 2020. "Household Resources and Individual Strategies," FSES Working Papers 517, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    8. Maria Alejandra Cattaneo, 2024. "What wages do people expect for vocational and academic education backgrounds in Switzerland?," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 160(1), pages 1-16, December.
    9. Antoni, Manfred & Gerner, Hans-Dieter & Jäckle, Robert & Schwarz, Stefan, 2024. "When Women Learn That They Earn Less: The Gender Pay Gap in University Student Internships," MPRA Paper 122018, University Library of Munich, Germany.
    10. Gomez-Herrera, Estrella & Mueller-Langer, Frank, 2024. "Does information disclosure affect the gender gap in bidding behavior? Empirical evidence from a natural experiment on a large online labor platform," Labour Economics, Elsevier, vol. 90(C).
    11. Scoppa, Vincenzo & Spanò, Idola Francesca, 2025. "Do Women Ask for Less? Evidence from Reservation Wages in Italy," IZA Discussion Papers 18230, IZA Network @ LISER.

  18. Hugo Bodory & Martin Huber & Luk'av{s} Laff'ers, 2020. "Evaluating (weighted) dynamic treatment effects by double machine learning," Papers 2012.00370, arXiv.org, revised Jun 2021.

    Cited by:

    1. Maria Luisa Maitino & Marco Mariani & Valentina Patacchini & Letizia Ravagli & Nicola Sciclone, 2024. "The Employment Effects of the Italian Minimum Guaranteed Income Scheme Reddito di Cittadinanza," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 10(2), pages 649-681, July.
    2. Oyenubi, Adeola & Kollamparambil, Umakrishnan, 2023. "Does noncompliance with COVID-19 regulations impact the depressive symptoms of others?," Economic Modelling, Elsevier, vol. 120(C).
    3. Jonathan Fuhr & Philipp Berens & Dominik Papies, 2024. "Estimating Causal Effects with Double Machine Learning -- A Method Evaluation," Papers 2403.14385, arXiv.org, revised Apr 2024.
    4. Bo Xu & Rengui Sun & Cunhu Xi & Zhaoping Wang, 2025. "Digital governance and the low-carbon transition: evidence from double machine learning," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-14, December.
    5. Liu, Lei & Wang, Hanlei & Chen, Si & Chen, Zhi, 2025. "Has the divergence in ESG ratings affected institutional shareholding?," Finance Research Letters, Elsevier, vol. 83(C).
    6. Shi, Pengfei & Zhang, Honghao & Sun, Chaojing & Wang, Xinrui & Li, Xingming, 2025. "The driving effect of digital finance on green total factor productivity—analysis based on double/debiased machine learning model and spatial durbin model," Finance Research Letters, Elsevier, vol. 81(C).
    7. Michael Lechner, 2023. "Causal Machine Learning and its use for public policy," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 159(1), pages 1-15, December.
    8. Xiaofang Dai & Zhenhua Zhang & Weiming Gan & Dongshou Fan, 2025. "Can Digital Economy Facilitate Household Clean Cooking Fuel Transition? Empirical Evidence from China," Sustainability, MDPI, vol. 17(1), pages 1-20, January.
    9. Martin Huber & Sarina Joy Oberhansli, 2026. "Difference-in-differences for mediation analysis using double machine learning," Papers 2602.23877, arXiv.org.
    10. Chen, Che & Chen, Song & Wu, Dingwen, 2025. "The impact of ESG performance on R&D investment stability: Evidence from China," International Review of Economics & Finance, Elsevier, vol. 99(C).
    11. Chao Wang & Jiapeng Li & Yang Yi & Shuwang Yang, 2024. "Crowding in or crowding out? Executive environmental attention and ESG performance of mining listed companies," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 37(4), pages 897-913, December.
    12. Phillip Heiler & Michael C. Knaus, 2025. "Heterogeneity Analysis with Heterogeneous Treatments," Papers 2507.01517, arXiv.org, revised Feb 2026.
    13. Zenelabden, Nouran & Oyenubi, Adeola & Dikgang, Johane, 2025. "Fuel stacking, housing quality, and health disparities in rural South Africa: A double machine learning approach," Energy Economics, Elsevier, vol. 151(C).
    14. Aleksei Opacic, 2025. "Monotonic Path-Specific Effects: Application to Estimating Educational Returns," Papers 2508.13366, arXiv.org, revised Feb 2026.
    15. Xu, Aiting & Dai, Yujie & Hu, Zhiyuan & Qiu, Keyang, 2025. "Can green finance policy promote inclusive green growth?- Based on the quasi-natural experiment of China's green finance reform and innovation pilot zone," International Review of Economics & Finance, Elsevier, vol. 100(C).
    16. Fabian Muny, 2025. "Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies," Papers 2506.11960, arXiv.org.
    17. Xiatian Chen & Kaihua Bao & Chen Gao & Ya Wen & Ting Zhang, 2025. "Towards Corporate Sustainability: Can the Cultural and Tourism Consumption Promotion Policy Enhance Corporate ESG Performance?," Sustainability, MDPI, vol. 17(18), pages 1-28, September.
    18. Yang, Lu & Huang, Manyu & Wang, Haoyang, 2025. "Artificial intelligence and resilience of supply chain in China’s listed firms: Insights into vertical spillover effects," Finance Research Letters, Elsevier, vol. 85(PB).
    19. Jonathan Fuhr & Dominik Papies, 2024. "Double Machine Learning meets Panel Data -- Promises, Pitfalls, and Potential Solutions," Papers 2409.01266, arXiv.org.
    20. Xiangnan Zhai & Xue Yang & Darko B. Vukovic & Daria A. Dinets & Qiang Liu, 2025. "Carbon Emissions Trading Policy and Regional Energy Efficiency: A Quasi-Natural Experiment from China," Energies, MDPI, vol. 18(5), pages 1-20, February.
    21. Lin, Junjie, 2025. "Effects of electric vehicle demonstration and promotion policy on air pollution: Evidence from China," Transport Policy, Elsevier, vol. 162(C), pages 1-19.
    22. Wu, Liangpeng & Tang, Yujing & Meng, Lei & Zhu, Qingyuan & Zhou, Dequn, 2025. "Navigating ESG rating divergence: Implications for labor investment efficiency and firm adaptation strategy," Global Finance Journal, Elsevier, vol. 67(C).
    23. Shoupeng Wang & Haixin Huang & Fenghua Wu, 2025. "Can Local Industrial Policy Enhance Urban Land Green Use Efficiency? Evidence from the “Made in China 2025” National Demonstration Zone Policy," Land, MDPI, vol. 14(8), pages 1-24, July.
    24. Cheuk Hang Leung & Yijun Li & Qi Wu, 2025. "Distribution-valued Causal Machine Learning: Implications of Credit on Spending Patterns," Papers 2509.03063, arXiv.org.
    25. Li, Kun & Cai, Peifeng & Wang, Jing, 2025. "Exporting like China: Vertical spillover effects of firms exporting digital products," International Review of Financial Analysis, Elsevier, vol. 106(C).
    26. Kangqi Jiang & Xiaofeng Chen & Jiayun Li & Mengling Zhou, 2025. "Technology adoption and extreme stock risk: Evidence from digital tax reform in China," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-20, December.
    27. Chen, Hongfei & Niu, Dongxiao & Gao, Yibo, 2025. "Research on the impact of energy transition policies on green total factor productivity of Chinese high-energy-consuming enterprises," Energy, Elsevier, vol. 319(C).
    28. Lu Kang & Jie Lv & Haoyang Zhang, 2024. "Can the Water Resource Fee-to-Tax Reform Promote the “Three-Wheel Drive” of Corporate Green Energy-Saving Innovations? Quasi-Natural Experimental Evidence from China," Energies, MDPI, vol. 17(12), pages 1-38, June.
    29. Zhang, Jing & Lin, Xiaole & An, Qiguang, 2026. "Dynamic response of the natural interest rate to extreme climate," Research in International Business and Finance, Elsevier, vol. 81(C).
    30. Martin Huber & Kevin Kloiber & Lukas Laffers, 2024. "Testing identification in mediation and dynamic treatment models," Papers 2406.13826, arXiv.org.
    31. Ying Ke & Yueqi Wen & Lili Teng, 2025. "Chain Leader Policy and Corporate Environmental Sustainability: A Multi-Level Analysis of Greenwashing Mitigation Mechanisms," Sustainability, MDPI, vol. 17(19), pages 1-45, October.
    32. Yaowu, Yang & Qidong, Cheng & Yang, Liu, 2025. "Board structure and corporate strategic aggressiveness - an examination based on the double machine learning method," China Economic Review, Elsevier, vol. 92(C).
    33. Fang, Yan & Liu, Yinglin & Yang, Yi & Lucey, Brian & Abedin, Mohammad Zoynul, 2025. "How do Chinese urban investment bonds affect its economic resilience? Evidence from double machine learning," Research in International Business and Finance, Elsevier, vol. 74(C).

  19. Daria Loginova & Marco Portmann & Martin Huber, 2020. "Assessing the effects of seasonal tariff-rate quotas on vegetable prices in Switzerland," Papers 2012.02966, arXiv.org.

    Cited by:

    1. Youzhu Li & Jinsi Liu & Hongyu Yang & Jianxin Chen & Jason Xiong, 2021. "A Bibliometric Analysis of Literature on Vegetable Prices at Domestic and International Markets—A Knowledge Graph Approach," Agriculture, MDPI, vol. 11(10), pages 1-17, September.
    2. Daria Loginova & Stefan Mann, 2022. "Institutional contributions to agricultural producer price stability," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 10(1), pages 1-22, December.
    3. Steffen Mink & Daria Loginova & Stefan Mann, 2024. "Wolves' contribution to structural change in grazing systems among swiss alpine summer farms: The evidence from causal random forest," Journal of Agricultural Economics, Wiley Blackwell, vol. 75(1), pages 201-217, February.
    4. Santeramo, Fabio Gaetano & Martinez-Gomez, Victor & Márquez-Ramos, Laura & Lamonaca, Emilia, 2023. "The import effects of the Entry Price System," MPRA Paper 117738, University Library of Munich, Germany.
    5. Daria Loginova & Stefan Mann, 2023. "Measuring stability and structural breaks: Applications in social sciences," Journal of Economic Surveys, Wiley Blackwell, vol. 37(2), pages 302-320, April.
    6. Yiyang Qiao & Minseong Kang & Byeong-il Ahn, 2023. "Analysis of Factors Affecting Vegetable Price Fluctuation: A Case Study of South Korea," Agriculture, MDPI, vol. 13(3), pages 1-16, February.
    7. Omid Zamani & Craig Chibanda & Janine Pelikan, 2023. "Unraveling the effects of import bans on domestic poultry production: a case study of Senegal," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 11(1), pages 1-25, December.
    8. Youzhu Li & Miao Zhang & Jinsi Liu & Bingbing Su & Xinzhu Lin & Yuxuan Liang & Yize Bao & Shanshan Yang & Junjie Zhang, 2022. "Research on the Disturbance Sources of Vegetable Price Fluctuation Based on Grounded Theory and LDA Topic Model," Agriculture, MDPI, vol. 12(5), pages 1-14, April.
    9. Loginova, Daria, . "Assessing the Short-term Effect of Exchange Rate Liberalisation on Food Import Prices: The Regression Discontinuity in Time Employed for Russian Food Markets in 2014," Research on World Agricultural Economy, Nan Yang Academy of Sciences Pte Ltd (NASS), vol. 3(3).
    10. Herz, Holger & Kistler, Deborah & Zehnder, Christian & Zihlmann, Christian, 2022. "Hindsight Bias and Trust in Government: Evidence from the United States," FSES Working Papers 526, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    11. Kim, Youngmi & Jeong, Deokjae, 2025. "할당관세 정책이 농산물 소매가격에 미치는 인과적 영향 [The Causal Effects of Tariff-Rate Quota Policies on Agricultural Product Retail Prices]," MPRA Paper 126998, University Library of Munich, Germany.

  20. Hannes Wallimann & David Imhof & Martin Huber, 2020. "A Machine Learning Approach for Flagging Incomplete Bid-rigging Cartels," Papers 2004.05629, arXiv.org.

    Cited by:

    1. Wallimann, Hannes & Imhof, David & Huber, Martin, 2020. "A Machine Learning Approach for Flagging Incomplete Bid-rigging Cartels," FSES Working Papers 513, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    2. Bedri Kamil Onur Tas, 2024. "A machine learning approach to detect collusion in public procurement with limited information," Journal of Computational Social Science, Springer, vol. 7(2), pages 1913-1935, October.
    3. Imhof, David & Wallimann, Hannes, 2021. "Detecting bid-rigging coalitions in different countries and auction formats," International Review of Law and Economics, Elsevier, vol. 68(C).
    4. Brown, David P. & Cajueiro, Daniel O. & Eckert, Andrew & Silveira, Douglas, 2025. "Evaluating the role of information disclosure on bidding behavior in wholesale electricity markets," Energy Economics, Elsevier, vol. 146(C).
    5. David Imhof & Hannes Wallimann, 2021. "Detecting bid-rigging coalitions in different countries and auction formats," Papers 2105.00337, arXiv.org.
    6. Brown, David P. & Eckert, Andrew & Silveira, Douglas, 2026. "Wholesale price prediction: The role of information and transparency," Energy Policy, Elsevier, vol. 209(PA).
    7. Silveira, Douglas & Vasconcelos, Silvinha & Resende, Marcelo & Cajueiro, Daniel O., 2022. "Won’t Get Fooled Again: A supervised machine learning approach for screening gasoline cartels," Energy Economics, Elsevier, vol. 105(C).
    8. Deschênes, Sarah & Dumas, Christelle & Lambert, Sylvie, 2020. "Household Resources and Individual Strategies," FSES Working Papers 517, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    9. Frédéric Marty & Thierry Warin, 2023. "Deciphering Algorithmic Collusion: Insights from Bandit Algorithms and Implications for Antitrust Enforcement," CIRANO Working Papers 2023s-26, CIRANO.

  21. Martin Huber & Mark Schelker & Anthony Strittmatter, 2019. "Direct and Indirect Effects based on Changes-in-Changes," Papers 1909.04981, arXiv.org, revised Oct 2019.

    Cited by:

    1. Wallimann, Hannes & Imhof, David & Huber, Martin, 2020. "A Machine Learning Approach for Flagging Incomplete Bid-rigging Cartels," FSES Working Papers 513, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    2. Annabelle Doerr & Anthony Strittmatter, 2020. "Identifying causal channels of policy reforms with multiple treatments and different types of selection," Papers 2010.05221, arXiv.org.
    3. Xinju He & Lanxin Liu & Hu Fu & Chuanjiang Yu & Sudong Hua, 2025. "Place-based policies develop digital enterprises: evidence from digital parks," Empirical Economics, Springer, vol. 69(6), pages 3547-3588, December.
    4. Masayuki Sawada, 2019. "Noncompliance in randomized control trials without exclusion restrictions," Papers 1910.03204, arXiv.org, revised Jun 2021.
    5. Jinghao Sun & Eric J. Tchetgen Tchetgen, 2025. "On a Debiased and Semiparametric Efficient Changes-in-Changes Estimator," Papers 2507.07228, arXiv.org, revised Aug 2025.

  22. Denisova-Schmidt, Elena & Huber, Martin & Prytula, Yaroslav, 2019. "The effects of anti-corruption videos on attitudes towards corruption in a Ukrainian online survey," FSES Working Papers 499, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.

    Cited by:

    1. Huber, Martin, 2019. "An introduction to flexible methods for policy evaluation," FSES Working Papers 504, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.

  23. Huber, Martin & Steinmayr, Andreas, 2019. "A Framework for Separating Individual-Level Treatment Effects From Spillover Effects," Munich Reprints in Economics 78220, University of Munich, Department of Economics.

    Cited by:

    1. Lafférs, Lukáš & Mellace, Giovanni, 2020. "Identification of the average treatment effect when SUTVA is violated," Discussion Papers on Economics 3/2020, University of Southern Denmark, Department of Economics.
    2. Hoang, Thoa & Noy, Ilan, 2023. "The income consequences of a managed retreat," Regional Science and Urban Economics, Elsevier, vol. 100(C).
    3. Di Iasio, Valentina & Wahba, Jackline, 2023. "Expecting Brexit and UK Migration: Should I Go?," IZA Discussion Papers 16156, IZA Network @ LISER.
    4. Roulleau-Pasdeloup, Jordan, 2020. "A Puncher’s chance: Expected gain and risk taking in a market for superstars," Labour Economics, Elsevier, vol. 66(C).
    5. Ulrike Unterhofer & Conny Wunsch, 2022. "Macroeconomic Effects of Active Labour Market Policies: A Novel Instrumental Variables Approach," Papers 2211.12437, arXiv.org.
    6. Bruno Paolo Bosco & Paolo Maranzano, 2025. "Vis Inertiae and Statistical Inference: A Review of Difference-in-Differences Methods Employed in Economics and Other Subjects," Econometrics, MDPI, vol. 13(4), pages 1-56, September.
    7. Manh‐Hung Nguyen & Viet‐Ngu Hoang & Son Nghiem & Lan Anh Nguyen, 2025. "The Dynamic and Heterogeneous Effects of COVID‐19 Vaccination Mandates in the USA," Health Economics, John Wiley & Sons, Ltd., vol. 34(3), pages 518-536, March.
    8. Máté Kormos & Robert P. Lieli & Martin Huber, 2025. "Interacting Treatments With Endogenous Takeup," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 40(4), pages 424-437, June.
    9. Andrii Melnychuk, 2024. "Synthetic Controls with spillover effects: A comparative study," Papers 2405.01645, arXiv.org.
    10. Stefano, Roberta di & Mellace, Giovanni, 2020. "The inclusive synthetic control method," Discussion Papers on Economics 14/2020, University of Southern Denmark, Department of Economics.
    11. Jonathan Roth & Pedro H. C. Sant'Anna & Alyssa Bilinski & John Poe, 2022. "What's Trending in Difference-in-Differences? A Synthesis of the Recent Econometrics Literature," Papers 2201.01194, arXiv.org, revised Jan 2023.
    12. Lotti, Clarissa & Muço, Arieda & SPAGNOLO, GIANCARLO & Valletti, Tommaso, 2023. "Indirect Savings from Public Procurement Centralization," OSF Preprints c678u, Center for Open Science.
    13. Mario Fiorini & Wooyong Lee & Gregor Pfeifer & Gregor-Gabriel Pfeifer, 2024. "A Simple Approach to Staggered Difference-in-Differences in the Presence of Spillovers," CESifo Working Paper Series 11011, CESifo.
    14. Nicolas Debarsy & Julie Le Gallo, 2025. "Identification of Spatial Spillovers: Do's and Don'ts," Post-Print hal-05107904, HAL.
    15. Mäkinen, Taneli & Li, Fan & Mercatanti, Andrea & Silvestrini, Andrea, 2022. "Causal analysis of central bank holdings of corporate bonds under interference," Economic Modelling, Elsevier, vol. 113(C).
    16. Nguyen, Manh-Hung & Hoang, Viet-Ngu & Nghiem, Son & Nguyen, Lan Anh, 2024. "The Dynamic and Heterogeneous Effects of COVID-19 Vaccination Mandates in the USA," TSE Working Papers 24-1598, Toulouse School of Economics (TSE).
    17. Giulio Grossi & Marco Mariani & Alessandra Mattei & Patrizia Lattarulo & Ozge Oner, 2020. "Direct and spillover effects of a new tramway line on the commercial vitality of peripheral streets. A synthetic-control approach," Papers 2004.05027, arXiv.org, revised Nov 2023.
    18. Akcigit, Ufuk & Seven, Ünal & Yarba, İbrahim & Yılmaz, Fatih, 2024. "Firm-level impact of public credit guarantees," European Economic Review, Elsevier, vol. 170(C).
    19. Xiang, Xunyong & Liu, Ruier & Luo, Wenjie, 2024. "Pollution haven or pollution halo? Testing direct and spillover effects of FDI," China Economic Review, Elsevier, vol. 88(C).
    20. Henrika Langen & Martin Huber, 2022. "How causal machine learning can leverage marketing strategies: Assessing and improving the performance of a coupon campaign," Papers 2204.10820, arXiv.org, revised Jun 2022.
    21. Maximilian Kasy & Lukas Lehner, 2023. "Employing the Unemployed of Marienthal: Evaluation of a Guaranteed Job Program," CESifo Working Paper Series 10394, CESifo.
    22. Fangting Chi & Haoying Han, 2023. "The Impact of High-Speed Rail on Economic Development: A County-Level Analysis," Land, MDPI, vol. 12(4), pages 1-22, April.
    23. Wang, Lu & Ruan, Hang & Hong, Yanran & Luo, Keyu, 2023. "Detecting the hidden asymmetric relationship between crude oil and the US dollar: A novel neural Granger causality method," Research in International Business and Finance, Elsevier, vol. 64(C).
    24. Viviana Celli, 2022. "Causal mediation analysis in economics: Objectives, assumptions, models," Journal of Economic Surveys, Wiley Blackwell, vol. 36(1), pages 214-234, February.
    25. Silvia De Nicol`o & Beatrice Biondi & Mario Mazzocchi, 2026. "Three's a crowd: Identification challenges in the triple difference model with spillover effects," Papers 2601.15764, arXiv.org.
    26. Vincent Starck, 2025. "Peer effect analysis with latent processes," Papers 2511.02764, arXiv.org, revised Feb 2026.
    27. Greenaway-McGrevy, Ryan & Phillips, Peter C.B., 2023. "The impact of upzoning on housing construction in Auckland," Journal of Urban Economics, Elsevier, vol. 136(C).

  24. Martin Huber, 2019. "An introduction to flexible methods for policy evaluation," Papers 1910.00641, arXiv.org.

    Cited by:

    1. Huber, Martin, 2019. "An introduction to flexible methods for policy evaluation," FSES Working Papers 504, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    2. Selina Gangl, 2021. "Do soda taxes affect the consumption and health of school-aged children? Evidence from France and Hungary," Papers 2111.14521, arXiv.org.
    3. Daria Loginova & Stefan Mann, 2023. "Measuring stability and structural breaks: Applications in social sciences," Journal of Economic Surveys, Wiley Blackwell, vol. 37(2), pages 302-320, April.
    4. Gangl, Selina, 2021. "Do soda taxes affect the consumption and health of school-aged children? Evidence from France and Hungary," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224577, Verein für Socialpolitik / German Economic Association, revised 2021.
    5. Selina Gangl, 2024. "Does the design of a soda tax matter? Evidence from school children in Europe," Empirical Economics, Springer, vol. 66(4), pages 1867-1901, April.

  25. Huber, Martin & Wüthrich, Kaspar, 2019. "Local Average and Quantile Treatment Effects Under Endogeneity: A Review," University of California at San Diego, Economics Working Paper Series qt4j29d8sc, Department of Economics, UC San Diego.

    Cited by:

    1. Huber, Martin, 2019. "An introduction to flexible methods for policy evaluation," FSES Working Papers 504, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    2. Holger Herz & Deborah Kistler & Christian Zehnder & Christian Zihlmann, 2022. "Hindsight Bias and Trust in Government," CESifo Working Paper Series 9767, CESifo.
    3. Jan Priebe, 2020. "Quasi-experimental evidence for the causal link between fertility and subjective well-being," Journal of Population Economics, Springer;European Society for Population Economics, vol. 33(3), pages 839-882, July.
    4. Buechel, Berno & Gangl, Selina & Huber, Martin, 2021. "How residence permits affect the labor market attachment of foreign workers: Evidence from a migration lottery in Liechtenstein," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242357, Verein für Socialpolitik / German Economic Association, revised 2021.
    5. Martin Huber, 2024. "An introduction to causal discovery," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 160(1), pages 1-16, December.
    6. Besstremyannaya, Galina & Golovan, Sergei, 2026. "Instrumental variable quantile regression for clustered data," Econometrics and Statistics, Elsevier, vol. 37(C), pages 199-213.
    7. Herz, Holger & Kistler, Deborah & Zehnder, Christian & Zihlmann, Christian, 2022. "Hindsight Bias and Trust in Government: Evidence from the United States," FSES Working Papers 526, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    8. Wei, Bo & Tan, Kean Ming & He, Xuming, 2024. "Estimation of complier expected shortfall treatment effects with a binary instrumental variable," Journal of Econometrics, Elsevier, vol. 238(2).
    9. Öberg, Stefan, 2021. "Treatment for natural experiments: How to improve causal estimates using conceptual definitions and substantive interpretations," SocArXiv pkyue, Center for Open Science.
    10. Sun, Zhenting & Wüthrich, Kaspar, 2025. "Pairwise valid instruments," Journal of Econometrics, Elsevier, vol. 250(C).

  26. Fernandes, Ana & Huber, Martin & Plaza, Camila, 2019. "The Effects of Gender and Parental Occupation in the Apprenticeship Market: An Experimental Evaluation," FSES Working Papers 506, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.

    Cited by:

    1. Wallimann, Hannes & Imhof, David & Huber, Martin, 2020. "A Machine Learning Approach for Flagging Incomplete Bid-rigging Cartels," FSES Working Papers 513, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.

  27. Huber, Martin, 2019. "A review of causal mediation analysis for assessing direct and indirect treatment effects," FSES Working Papers 500, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.

    Cited by:

    1. Huber, Martin, 2019. "An introduction to flexible methods for policy evaluation," FSES Working Papers 504, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    2. Sajid, Osama & Bevis, Leah E.M., 2021. "Flooding and child health: Evidence from Pakistan," World Development, Elsevier, vol. 146(C).
    3. Mensah, Edouard R. & Shinde, Nilesh & Kakpo, Ange T. & Djenontin, Ida N.S., 2024. "The human well-being outcomes of tree plantations in sub-Saharan Africa: A reassessment of evidence using longitudinal subnational-year data," Forest Policy and Economics, Elsevier, vol. 160(C).
    4. Didier Nibbering & Matthijs Oosterveen, 2023. "Instrument-based estimation of full treatment effects with movers," Papers 2306.07018, arXiv.org.
    5. Martin Huber & Yu‐Chin Hsu & Ying‐Ying Lee & Layal Lettry, 2020. "Direct and indirect effects of continuous treatments based on generalized propensity score weighting," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(7), pages 814-840, November.
    6. Caterina Giannetti & Pietro Guarnieri & Tommaso Luzzati, 2021. "Pro-environmental attitude and behaviours: an investigation on the role of pro-sociality," Discussion Papers 2021/269, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    7. Marco Doretti & Martina Raggi & Elena Stanghellini, 2022. "Exact parametric causal mediation analysis for a binary outcome with a binary mediator," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 31(1), pages 87-108, March.
    8. Amin, Vikesh & Flores, Carlos A. & Flores-Lagunes, Alfonso, 2020. "The impact of BMI on mental health: Further evidence from genetic markers," Economics & Human Biology, Elsevier, vol. 38(C).
    9. Ackermann, Klaus & Awaworyi Churchill, Sefa & Smyth, Russell, 2024. "Estimating the relationship between ethnic inequality, conflict and voter turnout in Africa using geocoded data," World Development, Elsevier, vol. 180(C).
    10. Soonwoo Kwon & Jonathan Roth, 2024. "Testing Mechanisms," Papers 2404.11739, arXiv.org, revised Feb 2026.
    11. Zheyuan Zhang & Hui Xu & Ruilin Liu & Zhong Zhao, 2024. "Free Education and the Intergenerational Transmission of Cognitive Skills in Rural China," Working Papers 2024-017, Human Capital and Economic Opportunity Working Group.
    12. Bonsang, Eric & Costa-Font, Joan, 2022. "Buying control? ‘Locus of control’ and the uptake of supplementary health insurance," LSE Research Online Documents on Economics 117144, London School of Economics and Political Science, LSE Library.
    13. Viviana Celli, 2019. "Causal Mediation Analysis in Economics: objectives, assumptions, models," Working Papers 12/19, Sapienza University of Rome, DISS.
    14. David G. Lugo‐Palacios & Jonathan M. Clarke & Søren Rud Kristensen, 2023. "Back to basics: A mediation analysis approach to addressing the fundamental questions of integrated care evaluations," Health Economics, John Wiley & Sons, Ltd., vol. 32(9), pages 2080-2097, September.
    15. Eva Six & Matthias Schnetzer, 2022. "Highbrow heritage: the effects of early childhood cultural capital on wealth," Working Paper Reihe der AK Wien - Materialien zu Wirtschaft und Gesellschaft 240, Kammer für Arbeiter und Angestellte für Wien, Abteilung Wirtschaftswissenschaft und Statistik.
    16. Andrew McKendrick & Ian Walker, 2020. "The Roles of Faith and Faith Schooling in Educational, Economic, and Faith Outcomes," Working Papers 302455074, Lancaster University Management School, Economics Department.
    17. Viviana Celli, 2022. "Causal mediation analysis in economics: Objectives, assumptions, models," Journal of Economic Surveys, Wiley Blackwell, vol. 36(1), pages 214-234, February.
    18. Bevis, Leah & Kim, Kichan & Guerena, David, 2023. "Soil zinc deficiency and child stunting: Evidence from Nepal," Journal of Health Economics, Elsevier, vol. 87(C).
    19. Brewer, Mike & Dang, Thang & Tominey, Emma, 2024. "Universal Credit: Welfare reform and mental health," Journal of Health Economics, Elsevier, vol. 98(C).

  28. Huber, Martin & Solovyeva, Anna, 2018. "Direct and indirect effects under sample selection and outcome attrition," FSES Working Papers 496, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.

    Cited by:

    1. Huber, Martin & Laffers, Lukáš, 2020. "Bounds on direct and indirect effects under treatment/mediator endogeneity and outcome attrition," FSES Working Papers 514, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    2. Martin Huber & Anna Solovyeva, 2020. "On the Sensitivity of Wage Gap Decompositions," Journal of Labor Research, Springer, vol. 41(1), pages 1-33, June.

  29. Bodory, Hugo & Huber, Martin, 2018. "The causalweight package for causal inference in R," FSES Working Papers 493, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.

    Cited by:

    1. Martin Huber & Anna Solovyeva, 2020. "Direct and Indirect Effects under Sample Selection and Outcome Attrition," Econometrics, MDPI, vol. 8(4), pages 1-25, December.
    2. Sloczynski, Tymon & Uysal, Derya & Wooldridge, Jeffrey M., 2022. "Abadie's Kappa and Weighting Estimators of the Local Average Treatment Effect," IZA Discussion Papers 15241, IZA Network @ LISER.
    3. Buechel, Berno & Gangl, Selina & Huber, Martin, 2021. "How residence permits affect the labor market attachment of foreign workers: Evidence from a migration lottery in Liechtenstein," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242357, Verein für Socialpolitik / German Economic Association, revised 2021.
    4. Huber, Martin & Meier, Jonas & Wallimann, Hannes, 2022. "Business analytics meets artificial intelligence: Assessing the demand effects of discounts on Swiss train tickets," Transportation Research Part B: Methodological, Elsevier, vol. 163(C), pages 22-39.

  30. Eckhoff Andresen, Martin & Huber, Martin, 2018. "Instrument-based estimation with binarized treatments: Issues and tests for the exclusion restriction," FSES Working Papers 492, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.

    Cited by:

    1. Nadja van 't Hoff, 2023. "Identifying Causal Effects of Discrete, Ordered and ContinuousTreatments using Multiple Instrumental Variables," Papers 2311.17575, arXiv.org, revised Oct 2024.
    2. Mogstad, Magne & Torgovitsky, Alexander, 2024. "Instrumental variables with unobserved heterogeneity in treatment effects," Handbook of Labor Economics,, Elsevier.
    3. Kyunghoon Ban & D'esir'e K'edagni, 2021. "Nonparametric Bounds on Treatment Effects with Imperfect Instruments," Papers 2109.14785, arXiv.org.
    4. Didier Nibbering & Matthijs Oosterveen, 2023. "Instrument-based estimation of full treatment effects with movers," Papers 2306.07018, arXiv.org.
    5. Tymon Sloczynski & Derya Uysal & Jeffrey Wooldridge, 2023. "Abadie's Kappa and Weighting Estimators of the Local Average Treatment Effect," Rationality and Competition Discussion Paper Series 424, CRC TRR 190 Rationality and Competition.
    6. Joppe de Ree & Matthijs Oosterveen & Dinand Webbink, 2023. "The quality of school track assignment decisions by teachers," Papers 2304.10636, arXiv.org, revised Jun 2025.
    7. Gerten, Elisa & Beckmann, Michael & Kräkel, Matthias, 2022. "Information and Communication Technology, Hierarchy, and Job Design," IZA Discussion Papers 15491, IZA Network @ LISER.
    8. Castillo, Marco & Linardi, Sera & Petrie, Ragan, 2024. "Recidivism and Barriers to Reintegration: A Field Experiment Encouraging Use of Reentry Support," IZA Discussion Papers 17522, IZA Network @ LISER.
    9. Huber Martin & Wüthrich Kaspar, 2019. "Local Average and Quantile Treatment Effects Under Endogeneity: A Review," Journal of Econometric Methods, De Gruyter, vol. 8(1), pages 1-27, January.
    10. Huber, Martin & Imhof, David, 2018. "Machine Learning with Screens for Detecting Bid-Rigging Cartels," FSES Working Papers 494, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    11. Heiler, Phillip & Knaus, Michael C., 2022. "Effect or Treatment Heterogeneity? Policy Evaluation with Aggregated and Disaggregated Treatments," IZA Discussion Papers 15580, IZA Network @ LISER.
    12. Phillip Heiler & Michael C. Knaus, 2025. "Heterogeneity Analysis with Heterogeneous Treatments," Papers 2507.01517, arXiv.org, revised Feb 2026.
    13. Hsu, Yu-Chin & Huber, Martin & Lee, Ying-Ying & Pipoz, Layal, 2018. "Direct and indirect effects of continuous treatments based on generalized propensity score weighting," FSES Working Papers 495, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    14. Martin Eckhoff Andresen & Sturla A. Løkken, 2019. "High school dropout for marginal students. Evidence from randomized exam form," Discussion Papers 894, Statistics Norway, Research Department.
    15. Jansson, Joakim & Petterson-Lidbom, Per & Priks, Mikael & Tyrefors, Björn, 2025. "Sentence Length and Recidivism: Court Rulings based on BAC," Working Paper Series 1536, Research Institute of Industrial Economics.
    16. Baltagi, Badi H. & Flores-Lagunes, Alfonso & Karatas, Haci M., 2023. "The effect of higher education on Women's obesity and smoking: Evidence from college openings in Turkey," Economic Modelling, Elsevier, vol. 123(C).
    17. Nibbering, Didier & Oosterveen, Matthijs & Silva, Pedro Luís, 2022. "Clustered Local Average Treatment Effects: Fields of Study and Academic Student Progress," IZA Discussion Papers 15159, IZA Network @ LISER.
    18. Evan K. Rose & Yotam Shem-Tov, 2021. "On Recoding Ordered Treatments as Binary Indicators," Papers 2111.12258, arXiv.org, revised Mar 2024.
    19. Christophe Bruneel-Zupanc, 2023. "Don't (fully) exclude me, it's not necessary! Causal inference with semi-IVs," Papers 2303.12667, arXiv.org, revised Sep 2025.
    20. Stefan Tübbicke, 2023. "When to use matching and weighting or regression in instrumental variable estimation? Evidence from college proximity and returns to college," Empirical Economics, Springer, vol. 65(6), pages 2979-2999, December.

  31. Hsu, Yu-Chin & Huber, Martin & Lee, Ying-Ying & Pipoz, Layal, 2018. "Direct and indirect effects of continuous treatments based on generalized propensity score weighting," FSES Working Papers 495, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.

    Cited by:

    1. Kyle Colangelo & Ying-Ying Lee, 2019. "Double debiased machine learning nonparametric inference with continuous treatments," CeMMAP working papers CWP72/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    2. Ying-Ying Lee & Chu-An Liu, 2024. "Lee Bounds with a Continuous Treatment in Sample Selection," Papers 2411.04312, arXiv.org, revised Oct 2025.
    3. Kyle Colangelo & Ying-Ying Lee, 2019. "Double debiased machine learning nonparametric inference with continuous treatments," CeMMAP working papers CWP54/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. Martin Huber & Anna Solovyeva, 2020. "Direct and Indirect Effects under Sample Selection and Outcome Attrition," Econometrics, MDPI, vol. 8(4), pages 1-25, December.
    5. Lee, Seong-ho & Ma, Yanyuan & de Luna, Xavier, 2025. "Covariate balancing for causal inference on categorical and continuous treatments," Econometrics and Statistics, Elsevier, vol. 33(C), pages 304-329.
    6. Yu-Chin Hsu & Martin Huber & Ying-Ying Lee & Chu-An Liu, 2021. "Testing Monotonicity of Mean Potential Outcomes in a Continuous Treatment with High-Dimensional Data," Papers 2106.04237, arXiv.org, revised Aug 2022.
    7. Huang, W. & Linton, O. & Zhang, Z., 2021. "A Unified Framework for Specification Tests of Continuous Treatment Effect Models," Cambridge Working Papers in Economics 2113, Faculty of Economics, University of Cambridge.
    8. Yuya Sasaki & Takuya Ura & Yichong Zhang, 2020. "Unconditional Quantile Regression with High Dimensional Data," Papers 2007.13659, arXiv.org, revised Feb 2022.
    9. Tübbicke Stefan, 2022. "Entropy Balancing for Continuous Treatments," Journal of Econometric Methods, De Gruyter, vol. 11(1), pages 71-89, January.
    10. Ying-Ying Lee, 2018. "Partial Mean Processes with Generated Regressors: Continuous Treatment Effects and Nonseparable Models," Papers 1811.00157, arXiv.org.
    11. Yizhen Xu & Numair Sani & AmirEmad Ghassami & Ilya Shpitser, 2021. "Multiply Robust Causal Mediation Analysis with Continuous Treatments," Papers 2105.09254, arXiv.org, revised Oct 2024.
    12. Yikun Zhang & Yen-Chi Chen, 2025. "Doubly Robust Inference on Causal Derivative Effects for Continuous Treatments," Papers 2501.06969, arXiv.org, revised Apr 2025.
    13. Michel F. C. Haddad & Martin Huber & Jos'e Eduardo Medina-Reyes & Lucas Z. Zhang, 2024. "Difference-in-Differences with Time-varying Continuous Treatments using Double/Debiased Machine Learning," Papers 2410.21105, arXiv.org, revised Jan 2026.
    14. Isaac Meza & Rahul Singh, 2021. "Nested Nonparametric Instrumental Variable Regression," Papers 2112.14249, arXiv.org, revised May 2025.

  32. Huber, Martin & Solovyeva, Anna, 2018. "On the sensitivity of wage gap decompositions," FSES Working Papers 497, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.

    Cited by:

    1. Huber, Martin, 2019. "An introduction to flexible methods for policy evaluation," FSES Working Papers 504, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    2. Valentina S. Consiglio & Denisa M. Sologon, 2022. "The Myth of Equal Opportunity in Germany? Wage Inequality and the Role of (Non-)academic Family Background for Differences in Capital Endowments and Returns on the Labour Market," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 159(2), pages 455-493, January.
    3. Ana Fernandes & Martin Huber & Giannina Vaccaro, 2021. "Gender differences in wage expectations," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-24, June.
    4. Bonaccolto-Töpfer, Marina & Satlukal, Sascha, 2024. "Gender differences in reservation wages: New evidence for Germany," Labour Economics, Elsevier, vol. 91(C).
    5. Hanewald, Katja & Jia, Ruo & Liu, Zining, 2021. "Why is inequality higher among the old? Evidence from China," China Economic Review, Elsevier, vol. 66(C).
    6. Yamamoto, Yuki & Matsumoto, Ken’ichi & Kawata, Keisuke & Kaneko, Shinji, 2019. "Gender-based differences in employment opportunities and wage distribution in Nepal," Journal of Asian Economics, Elsevier, vol. 64(C), pages 1-1.
    7. Jeremiah Richey & Nikolas Tromp, 2021. "The Black–White wage gap among young men in 1990 versus 2011: With sample selection adjustments," Bulletin of Economic Research, Wiley Blackwell, vol. 73(4), pages 780-805, October.

  33. Huber, Martin & Imhof, David, 2018. "Machine Learning with Screens for Detecting Bid-Rigging Cartels," FSES Working Papers 494, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.

    Cited by:

    1. Max Berre, 2022. "Which Factors Matter Most? Can Startup Valuation be Micro-Targeted?," Papers 2210.14518, arXiv.org.
    2. David Imhof & Emanuel W Viklund & Martin Huber, 2025. "Catching Bid-rigging Cartels with Graph Attention Neural Networks," Papers 2507.12369, arXiv.org, revised Jul 2025.
    3. Jeanne Mouton & Benoit Rottembourg, 2024. "Auditing the Ranking Strategy of a Marketplace 's Algorithm in the Frame of Competition Law Commitments with Surrogate Models: The Amazon 's Buy Box Case," GREDEG Working Papers 2024-27, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    4. Wallimann, Hannes & Imhof, David & Huber, Martin, 2020. "A Machine Learning Approach for Flagging Incomplete Bid-rigging Cartels," FSES Working Papers 513, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    5. Hannes Wallimann & Silvio Sticher, 2023. "On suspicious tracks: machine-learning based approaches to detect cartels in railway-infrastructure procurement," Papers 2304.11888, arXiv.org.
    6. Aaltio, Aapo & Buri, Riku & Jokelainen, Antto & Lundberg, Johan, 2025. "Complementary bidding and cartel detection: Evidence from Nordic asphalt markets," International Journal of Industrial Organization, Elsevier, vol. 98(C).
    7. Dmitry I. Ivanov & Alexander S. Nesterov, 2019. "Stealed-bid Auctions: Detecting Bid Leakage via Semi-Supervised Learning," Papers 1903.00261, arXiv.org, revised Nov 2020.
    8. Tomaso Duso & Joseph E., Jr. Harrington & Carl Kreuzberg & Geza Sapi, 2025. "Public Communication and Collusion: New Screening Tools for Competition Authorities," CESifo Working Paper Series 12029, CESifo.
    9. David P. Brown & Andrew Eckert & Douglas Silveira, 2023. "Screening for Collusion in Wholesale Electricity Markets: A Review of the Literature," Working Papers 2023-07, University of Alberta, Department of Economics.
    10. Garcia Pires, Armando J. & Skjeret, Frode, 2023. "Screening for partial collusion in retail electricity markets," Energy Economics, Elsevier, vol. 117(C).
    11. Clara Calini & Alessandra Catenazzo & Elisabetta Iossa, 2025. "Using Multiple Tools to Enhance Competition in Public Procurement," CEIS Research Paper 594, Tor Vergata University, CEIS, revised 25 Feb 2025.
    12. Bedri Kamil Onur Tas, 2024. "A machine learning approach to detect collusion in public procurement with limited information," Journal of Computational Social Science, Springer, vol. 7(2), pages 1913-1935, October.
    13. Max Berre, 2022. "Which Factors Matter Most? Can Startup Valuation be Micro-Targeted?," Post-Print hal-03829877, HAL.
    14. Imhof, David & Wallimann, Hannes, 2021. "Detecting bid-rigging coalitions in different countries and auction formats," International Review of Law and Economics, Elsevier, vol. 68(C).
    15. Barone, Guglielmo & Letta, Marco, 2025. "Unlevel playing field? Machine learning meets state aid regulation," International Journal of Industrial Organization, Elsevier, vol. 101(C).
    16. World Bank, 2022. "Using Data Analytics in Public Procurement Operational Options and a Guiding Framework," World Bank Publications - Reports 37467, The World Bank Group.
    17. Chengyan Gu, 2023. "Market segmentation and dynamic price discrimination in the U.S. airline industry," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 22(5), pages 338-361, October.
    18. David Imhof & Hannes Wallimann, 2021. "Detecting bid-rigging coalitions in different countries and auction formats," Papers 2105.00337, arXiv.org.
    19. Martin Huber & David Imhof & Rieko Ishii, 2022. "Transnational machine learning with screens for flagging bid‐rigging cartels," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(3), pages 1074-1114, July.
    20. Silveira, Douglas & de Moraes, Lucas B. & Fiuza, Eduardo P.S. & Cajueiro, Daniel O., 2023. "Who are you? Cartel detection using unlabeled data," International Journal of Industrial Organization, Elsevier, vol. 88(C).
    21. Silveira, Douglas & Vasconcelos, Silvinha & Resende, Marcelo & Cajueiro, Daniel O., 2022. "Won’t Get Fooled Again: A supervised machine learning approach for screening gasoline cartels," Energy Economics, Elsevier, vol. 105(C).
    22. Martinez-Carrasco, José & ConceiçaÞo, Otavio & Dezolt, Ana Lúcia, 2023. "More Information, Lower Price? Access Market-based Reference Prices and Gains in Public Procurement Efficiency," IDB Publications (Working Papers) 12754, Inter-American Development Bank.
    23. Frédéric Marty, 2022. "From Economic Evidence to Algorithmic Evidence: Artificial Intelligence and Blockchain: An Application to Anti-competitive Agreements," GREDEG Working Papers 2022-32, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    24. Severin Lenhard, 2025. "Random Pricing: Bertrand Competition with Uncontested Consumers," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 67(2), pages 191-208, August.
    25. Hsu, Yu-Chin & Huber, Martin & Lee, Ying-Ying & Pipoz, Layal, 2018. "Direct and indirect effects of continuous treatments based on generalized propensity score weighting," FSES Working Papers 495, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    26. Wallimann, Hannes & Sticher, Silvio, 2023. "On suspicious tracks: Machine-learning based approaches to detect cartels in railway-infrastructure procurement," Transport Policy, Elsevier, vol. 143(C), pages 121-131.
    27. Hannes Wallimann & Silvio Sticher, 2024. "How to Use Data Science in Economics -- a Classroom Game Based on Cartel Detection," Papers 2401.14757, arXiv.org.
    28. Bovin, Andreas & Bos, Iwan, 2023. "Market Shares as Collusive Marker: Evidence from the European Truck Industry," Research Memorandum 011, Maastricht University, Graduate School of Business and Economics (GSBE).
    29. Tomaso Duso & Joseph E. Harrington Jr. & Carl Kreuzberg & Geza Sapi, 2025. "Public Communication and Collusion: New Screening Tools for Competition Authorities," Discussion Papers of DIW Berlin 2131, DIW Berlin, German Institute for Economic Research.
    30. Duso, Tomaso & Harrington, Joseph E. & Kreuzberg, Carl & Sapi, Geza, 2025. "Public communication and collusion: New screening tools for competition authorities," DICE Discussion Papers 430, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    31. Brown, David P. & Eckert, Andrew & Silveira, Douglas, 2023. "Screening for collusion in wholesale electricity markets: A literature review," Utilities Policy, Elsevier, vol. 85(C).

  34. Bolzern, Benjamin & Huber, Martin, 2017. "Testing the validity of the compulsory schooling law instrument," FSES Working Papers 480, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.

    Cited by:

    1. Hofmarcher, Thomas, 2021. "The effect of education on poverty: A European perspective," Economics of Education Review, Elsevier, vol. 83(C).
    2. Sophie van Huellen & Duo Qin, 2019. "Compulsory Schooling and Returns to Education: A Re-Examination," Econometrics, MDPI, vol. 7(3), pages 1-20, September.

  35. Hsu, Yu-Chin & Huber, Martin & Lai, Tsung Chih, 2017. "Nonparametric estimation of natural direct and indirect effects based on inverse probability weighting," FSES Working Papers 482, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.

    Cited by:

    1. Wunsch, Conny & Strobl, Renate, 2018. "Identification of Causal Mechanisms Based on Between-Subject Double Randomization Designs," IZA Discussion Papers 11626, IZA Network @ LISER.
    2. Martin Huber & Yu‐Chin Hsu & Ying‐Ying Lee & Layal Lettry, 2020. "Direct and indirect effects of continuous treatments based on generalized propensity score weighting," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(7), pages 814-840, November.
    3. Yu-Chin Hsu & Martin Huber & Yu-Min Yen, 2023. "Doubly Robust Estimation of Direct and Indirect Quantile Treatment Effects with Machine Learning," Papers 2307.01049, arXiv.org.

  36. Denisova-Schmidt, Elena & Huber, Martin & Leontyeva, Elvira & Solovyeva, Anna, 2017. "Combining experimental evidence with machine learning to assess anti-corruption educational campaigns among Russian university students," FSES Working Papers 487, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.

    Cited by:

    1. Huber, Martin & Imhof, David, 2018. "Machine Learning with Screens for Detecting Bid-Rigging Cartels," FSES Working Papers 494, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.

  37. Frölich, Markus & Huber, Martin, 2017. "Including covariates in the regression discontinuity design," FSES Working Papers 489, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.

    Cited by:

    1. Mazzocchi, Mario & Capacci, Sara & Biondi, Beatrice, . "Causal inference on the impact of nutrition policies using observational data," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 11(01).
    2. Gary Cornwall & Beau Sauley, 2021. "Indirect effects and causal inference: reconsidering regression discontinuity," Journal of Spatial Econometrics, Springer, vol. 2(1), pages 1-28, December.
    3. Bertocchi, Graziella & Dimico, Arcangelo, 2020. "Bitter Sugar: Slavery and the Black Family," IZA Discussion Papers 13312, IZA Network @ LISER.
    4. Augusto Cerqua & Guido Pellegrini & Ornella Tarola, 2022. "Can regional policies shape migration flows?," Papers in Regional Science, Wiley Blackwell, vol. 101(3), pages 515-536, June.
    5. Matias D. Cattaneo & Rocio Titiunik, 2021. "Regression Discontinuity Designs," Papers 2108.09400, arXiv.org, revised Feb 2022.
    6. Yoici Arai & Taisuke Otsu & Myung Hwan Seo, 2022. "Regression discontinuity design with potentially many covariates," STICERD - Econometrics Paper Series 626, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    7. Atı̇la Abdulkadı̇roğlu & Joshua D. Angrist & Yusuke Narita & Parag Pathak, 2022. "Breaking Ties: Regression Discontinuity Design Meets Market Design," Econometrica, Econometric Society, vol. 90(1), pages 117-151, January.
    8. Alexander Krei{ss} & Christoph Rothe, 2021. "Inference in Regression Discontinuity Designs with High-Dimensional Covariates," Papers 2110.13725, arXiv.org, revised May 2022.
    9. Anu Rammohan & Achmad Tohari, 2024. "Food vouchers and dietary diversity: evidence from social protection reform in Indonesia," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 16(1), pages 161-184, February.
    10. Agarwal, Natasha & Chan, Jackie M.L. & Lodefalk, Magnus & Tang, Aili & Tano, Sofia & Wang, Zheng, 2023. "Mitigating information frictions in trade: Evidence from export credit guarantees," Journal of International Economics, Elsevier, vol. 145(C).
    11. Bekhtiar, Karim & Winter-Ebmer, Rudolf, 2026. "Mitigating Mobility Frictions: The Effect of Cash-on-Hand on Labor Mobility," IZA Discussion Papers 18509, IZA Network @ LISER.
    12. Yu‐Chin Hsu & Shu Shen, 2021. "Testing monotonicity of conditional treatment effects under regression discontinuity designs," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(3), pages 346-366, April.
    13. Aline de Souza & Mônica Viegas Andrade & Kenya Valéria Micaela de Souza Noronha & Igor Viveiros Melo Souza, 2025. "Effect of age‐related premium readjustment on health insurance cancellation in Brazil: Regression discontinuity approach," Health Economics, John Wiley & Sons, Ltd., vol. 34(1), pages 3-17, January.
    14. Jonas Jessen & Daniel Kuehnle & Markus Wagner, 2021. "Is Voting Really Habit-Forming and Transformative? Long-Run Effects of Earlier Eligibility on Turnout and Political Involvement from the UK," Discussion Papers of DIW Berlin 1973, DIW Berlin, German Institute for Economic Research.
    15. Yusuke Narita & Kohei Yata, 2021. "Algorithm is Experiment: Machine Learning, Market Design, and Policy Eligibility Rules," Working Papers 2021-022, Human Capital and Economic Opportunity Working Group.
    16. Bury, Yannick & Feld, Lars P. & Köhler, Ekkehard A., 2025. "Do party ties increase transfer receipts in cooperative federalism? – Evidence from Germany," European Journal of Political Economy, Elsevier, vol. 86(C).
    17. Guimbeau, Amanda & Menon, Nidhiya, 2024. "Pensions and Depression: Gender-Disaggregated Evidence from the Elderly Poor in India," IZA Discussion Papers 17530, IZA Network @ LISER.
    18. Matias D. Cattaneo & Luke Keele & Rocio Titiunik, 2021. "Covariate Adjustment in Regression Discontinuity Designs," Papers 2110.08410, arXiv.org, revised Aug 2022.
    19. Diana Bonfim & Cláudia Custódio, 2021. "The sensitivity of SME’s investment and employment to the cost of debt financing," Working Papers w202115, Banco de Portugal, Economics and Research Department.
    20. Martins, Ana & Pereira dos Santos, João & Pozzobon, Fernando, 2025. "Sailing Through Troubled Waters: Evidence from Support Discontinuities to Firms in Times of Crisis," IZA Discussion Papers 18136, IZA Network @ LISER.
    21. Narita, Yusuke & Yata, Kohei, 2022. "Algorithm is Experiment: Machine Learning, Market Design, and Policy Eligibility Rules," CEI Working Paper Series 2021-05, Center for Economic Institutions, Institute of Economic Research, Hitotsubashi University.
    22. Huber, Martin & Imhof, David, 2018. "Machine Learning with Screens for Detecting Bid-Rigging Cartels," FSES Working Papers 494, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    23. Joshua D. Angrist, 2022. "Empirical Strategies in Economics: Illuminating the Path From Cause to Effect," Econometrica, Econometric Society, vol. 90(6), pages 2509-2539, November.
    24. Weijie Wang & Taek Kyu Kim, 2024. "Do government performance signals affect citizen satisfaction?," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 43(3), pages 846-870, June.
    25. Zhang, Haoyi, 2025. "Do Chinese courts apply the “Hand Formula”: Empirical evidence from cases related to the duty of safety protection," International Review of Law and Economics, Elsevier, vol. 83(C).
    26. Jun Ma & Zhengfei Yu, 2020. "Empirical Likelihood Covariate Adjustment for Regression Discontinuity Designs," Papers 2008.09263, arXiv.org, revised May 2024.
    27. Erasmo Giambona & Rafael P. Ribas, 2023. "Unveiling the Price of Obscenity: Evidence From Closing Prostitution Windows in Amsterdam," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 42(3), pages 677-705, June.
    28. Karim Bekhtiar & Rudolf Winter-Ebmer, 2026. "Mitigating Mobility Frictions: The Effect of Cash-on-Hand on Labor Mobility," Economics working papers 2026-03, Department of Economics, Johannes Kepler University Linz, Austria.
    29. Carolina Caetano & Gregorio Caetano & Juan Carlos Escanciano, 2026. "Identification and Estimation in Fuzzy Regression Discontinuity Designs with Covariates," Papers 2602.01417, arXiv.org.
    30. Masayuki Sawada & Takuya Ishihara & Daisuke Kurisu & Yasumasa Matsuda, 2024. "Local-Polynomial Estimation for Multivariate Regression Discontinuity Designs," Papers 2402.08941, arXiv.org, revised Jan 2026.
    31. Diana Bonfim & Cláudia Custódio & Clara Raposo, 2022. "Supporting small firms through recessions and recoveries," GEE Papers 0170, Gabinete de Estratégia e Estudos, Ministério da Economia, revised Sep 2022.
    32. Alexander Kreiss & Christoph Rothe, 2023. "Inference in regression discontinuity designs with high-dimensional covariates," The Econometrics Journal, Royal Economic Society, vol. 26(2), pages 105-123.
    33. Badunenko, Oleg & D’Inverno, Giovanna & De Witte, Kristof, 2023. "On distinguishing the direct causal effect of an intervention from its efficiency-enhancing effects," European Journal of Operational Research, Elsevier, vol. 310(1), pages 432-447.
    34. Hsu, Yu-Chin & Huber, Martin & Lee, Ying-Ying & Pipoz, Layal, 2018. "Direct and indirect effects of continuous treatments based on generalized propensity score weighting," FSES Working Papers 495, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    35. D’Inverno, Giovanna & Smet, Mike & De Witte, Kristof, 2021. "Impact evaluation in a multi-input multi-output setting: Evidence on the effect of additional resources for schools," European Journal of Operational Research, Elsevier, vol. 290(3), pages 1111-1124.
    36. Nicholas A. Bowman & Nayoung Jang & D. Martin Kivlighan & Nancy Schneider & Xiaomeng Ye, 2020. "The Impact of a Goal-Setting Intervention for Engineering Students on Academic Probation," Research in Higher Education, Springer;Association for Institutional Research, vol. 61(1), pages 142-166, February.
    37. Likai Chen & Georg Keilbar & Liangjun Su & Weining Wang, 2023. "Inference on many jumps in nonparametric panel regression models," Papers 2312.01162, arXiv.org, revised Jan 2025.
    38. Claudia Noack & Tomasz Olma & Christoph Rothe, 2021. "Flexible Covariate Adjustments in Regression Discontinuity Designs," Papers 2107.07942, arXiv.org, revised Apr 2025.
    39. Ana Martins & João Pereira dos Santos & Fernando Pozzobon, 2025. "Sailing through Troubled Waters: Evidence from the APOIAR Program," GEE Papers 190, Gabinete de Estratégia e Estudos, Ministério da Economia, revised May 2025.
    40. Narita, Yusuke & Yata, Kohei, 2022. "Algorithm is Experiment: Machine Learning, Market Design, and Policy Eligibility Rules," Discussion Paper Series 730, Institute of Economic Research, Hitotsubashi University.
    41. Oliveira, Rodrigo & Motté, Henrique & Santos, Alei, 2023. "Do disadvantaged students benefit from attending classes with more skilled colleagues? Evidence from a top university in Brazil," Labour Economics, Elsevier, vol. 85(C).
    42. Eckhoff Andresen, Martin & Huber, Martin, 2018. "Instrument-based estimation with binarized treatments: Issues and tests for the exclusion restriction," FSES Working Papers 492, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.

  38. Dahl, Christian M. & Huber, Martin & Mellace, Giovanni, 2017. "It's never too LATE: A new look at local average treatment effects with or without defiers," Discussion Papers on Economics 2/2017, University of Southern Denmark, Department of Economics.

    Cited by:

    1. Johann Caro-Burnett, 2026. "Toggling the Defiers to Relax Monotonicity: The Difference-in-Instrumental-Variables Estimand," Papers 2602.12504, arXiv.org.
    2. Yuta Ota & Takahiro Hoshino & Taisuke Otsu, 2024. "Causal Inference With Auxiliary Observations," Keio-IES Discussion Paper Series 2024-022, Institute for Economics Studies, Keio University.
    3. Mario Fiorini & Katrien Stevens, 2021. "Scrutinizing the Monotonicity Assumption in IV and fuzzy RD designs," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(6), pages 1475-1526, December.
    4. Zhenting Sun & Kaspar Wuthrich, 2022. "Pairwise Valid Instruments," Papers 2203.08050, arXiv.org, revised Feb 2025.
    5. Danny Cohen-Zada & Itay Attar & Todd Elder, 2024. "Measuring and Correcting Monotonicity Bias:The Case of School Entrance Age Effects," Working Papers 2406, Ben-Gurion University of the Negev, Department of Economics.
    6. Camilo Garcia-Jimeno & Sahar Parsa, 2024. "Cultural Change Through Writing Style: Gendered Pronoun Use in the Economics Profession," Working Paper Series WP 2024-23, Federal Reserve Bank of Chicago.
    7. Black, Dan A. & Joo, Joonhwi & LaLonde, Robert & Smith, Jeffrey A. & Taylor, Evan J., 2022. "Simple Tests for Selection: Learning More from Instrumental Variables," Labour Economics, Elsevier, vol. 79(C).
    8. Ricardo E. Miranda, 2026. "On the falsification of instrumental variable models for heterogeneous treatment effects," Papers 2601.14464, arXiv.org.
    9. Nadja van ’t Hoff & Arthur Lewbel & Giovanni Mellace, 2023. "Limited Monotonicity and the Combined Compliers LATE," Boston College Working Papers in Economics 1059, Boston College Department of Economics, revised 20 Jan 2025.
    10. Sun, Zhenting & Wüthrich, Kaspar, 2025. "Pairwise valid instruments," Journal of Econometrics, Elsevier, vol. 250(C).
    11. Huntington-Klein Nick, 2020. "Instruments with Heterogeneous Effects: Bias, Monotonicity, and Localness," Journal of Causal Inference, De Gruyter, vol. 8(1), pages 182-208, January.
    12. Claudia Noack, 2021. "Sensitivity of LATE Estimates to Violations of the Monotonicity Assumption," Papers 2106.06421, arXiv.org.

  39. Huber, Martin & Steinmayr, Andreas, 2017. "A framework for separating individual treatment effects from spillover, interaction, and general equilibrium effects," FSES Working Papers 481, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.

    Cited by:

    1. Lafférs, Lukáš & Mellace, Giovanni, 2020. "Identification of the average treatment effect when SUTVA is violated," Discussion Papers on Economics 3/2020, University of Southern Denmark, Department of Economics.
    2. Roberta Di Stefano & Giovanni Mellace, 2020. "The inclusive synthetic control method," Working Papers 21/20, Sapienza University of Rome, DISS.

  40. Huber, Martin & Camponovo, Lorenzo & Bodory, Hugo & Lechner, Michael, 2016. "A wild bootstrap algorithm for propensity score matching estimators," FSES Working Papers 470, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.

    Cited by:

    1. Mengshan Xu & Taisuke Otsu, 2022. "Isotonic propensity score matching," Papers 2207.08868, arXiv.org, revised Jan 2025.
    2. Bodory, Hugo & Camponovo, Lorenzo & Huber, Martin & Lechner, Michael, 2016. "The Finite Sample Performance of Inference Methods for Propensity Score Matching and Weighting Estimators," IZA Discussion Papers 9706, IZA Network @ LISER.
    3. Lajos Baráth & Imre Fertő & Štefan Bojnec, 2020. "The Effect of Investment, LFA and Agri‐environmental Subsidies on the Components of Total Factor Productivity: The Case of Slovenian Farms," Journal of Agricultural Economics, Wiley Blackwell, vol. 71(3), pages 853-876, September.
    4. Taisuke Otsu & Mengshan Xu, 2022. "Isotonic propensity score matching," STICERD - Econometrics Paper Series 623, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.

  41. Bodory, Hugo & Huber, Martin & Camponovo, Lorenzo & Lechner, Michael, 2016. "The finite sample performance of inference methods for propensity score matching and weighting estimators," FSES Working Papers 466, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.

    Cited by:

    1. Michael Lechner & Jana Mareckova, 2024. "Comprehensive Causal Machine Learning," Papers 2405.10198, arXiv.org, revised Feb 2025.
    2. Cushman, David O. & De Vita, Glauco, 2017. "Exchange rate regimes and FDI in developing countries: A propensity score matching approach," Journal of International Money and Finance, Elsevier, vol. 77(C), pages 143-163.
    3. Ziming Lin & Fang Han, 2024. "On the consistency of bootstrap for matching estimators," Papers 2410.23525, arXiv.org, revised Nov 2024.
    4. Samuel Dodini, 2023. "Insurance Subsidies, the Affordable Care Act, and Financial Stability," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 42(1), pages 97-136, January.
    5. Hugo Bodory & Martin Huber & Michael Lechner, 2022. "The finite sample performance of instrumental variable-based estimators of the Local Average Treatment Effect when controlling for covariates," Papers 2212.07379, arXiv.org.
    6. Lombardi, Stefano & van den Berg, Gerard J. & Vikström, Johan, 2020. "Empirical Monte Carlo evidence on estimation of Timing-of-Events models," Working Paper Series 2020:26, IFAU - Institute for Evaluation of Labour Market and Education Policy, revised 05 Jan 2021.
    7. Advani, Arun & Kitagawa, Toru & Sloczynski, Tymon, 2019. "Mostly Harmless Simulations? Using Monte Carlo Studies for Estimator Selection," CAGE Online Working Paper Series 411, Competitive Advantage in the Global Economy (CAGE).
    8. Huber, Martin & Camponovo, Lorenzo & Bodory, Hugo & Lechner, Michael, 2016. "A wild bootstrap algorithm for propensity score matching estimators," FSES Working Papers 470, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    9. Stefan Tübbicke, 2023. "How sensitive are matching estimates of active labor market policy effects to typically unobserved confounders?," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 57(1), pages 1-16, December.
    10. Finn Tarp & Sam Jones & Felix Schilling, 2021. "Doing business while holding public office: Evidence from Mozambique’s firm registry," DERG working paper series 21-08, University of Copenhagen. Department of Economics. Development Economics Research Group (DERG).
    11. Marco Caliendo & Stefan Tübbicke, 2019. "Do Start-Up Subsidies for the Unemployed Affect Participants’ Well-Being? A Rigorous Look at (Un-)Intended Consequences of Labor Market Policies," CEPA Discussion Papers 14, Center for Economic Policy Analysis.
    12. Bellmann, Lutz & Caliendo, Marco & Tübbicke, Stefan, 2017. "The Post-Reform Effectiveness of the New German Start-Up Subsidy for the Unemployed," IZA Discussion Papers 11055, IZA Network @ LISER.
    13. Pawlowski, Tim & Steckenleiter, Carina & Wallrafen, Tim & Lechner, Michael, 2021. "Individual labor market effects of local public expenditures on sports," Labour Economics, Elsevier, vol. 70(C).
    14. Goller, Daniel & Krumer, Alex, 2020. "Let's meet as usual: Do games played on non-frequent days differ? Evidence from top European soccer leagues," European Journal of Operational Research, Elsevier, vol. 286(2), pages 740-754.
    15. Strittmatter, Anthony & Lechner, Michael, 2020. "Sorting in the used-car market after the Volkswagen emission scandal," Journal of Environmental Economics and Management, Elsevier, vol. 101(C).
    16. Krumer, Alex & Lechner, Michael, 2017. "First in first win: Evidence on schedule effects in round-robin tournaments in mega-events," European Economic Review, Elsevier, vol. 100(C), pages 412-427.
    17. 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.
    18. Chlond, Bettina & Gavard, Claire & Jeuck, Lisa, 2021. "Supporting residential energy conservation under constrained public budget: Cost-effectiveness and redistribution analysis of public financial schemes in France," ZEW Discussion Papers 21-056, ZEW - Leibniz Centre for European Economic Research.
    19. Mohebalian, Phillip M. & Aguilar, Francisco X., 2018. "Beneath the Canopy: Tropical Forests Enrolled in Conservation Payments Reveal Evidence of Less Degradation," Ecological Economics, Elsevier, vol. 143(C), pages 64-73.
    20. Bettina Chlond & Claire Gavard & Lisa Jeuck, 2023. "How to Support Residential Energy Conservation Cost-Effectively? An analysis of Public Financial Schemes in France," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 85(1), pages 29-63, May.
    21. Krumer, Alex & Lechner, Michael, 2016. "Midweek Effect on Performance: Evidence from the German Soccer Bundesliga," Economics Working Paper Series 1609, University of St. Gallen, School of Economics and Political Science.
    22. Frölich, Markus & Huber, Martin & Wiesenfarth, Manuel, 2017. "The finite sample performance of semi- and non-parametric estimators for treatment effects and policy evaluation," Computational Statistics & Data Analysis, Elsevier, vol. 115(C), pages 91-102.
    23. Haltiwanger, John C. & Kutzbach, Mark J. & Palloni, Giordano & Pollakowski, Henry O. & Staiger, Matthew & Weinberg, Daniel H., 2024. "The children of HOPE VI demolitions: National evidence on labor market outcomes," Journal of Public Economics, Elsevier, vol. 239(C).
    24. Donna Feir & Kelly Foley & Maggie E. C. Jones, 2021. "The Distributional Impacts of Active Labor Market Programs for Indigenous Populations," AEA Papers and Proceedings, American Economic Association, vol. 111, pages 216-220, May.
    25. Krumer, Alex & Lechner, Michael, 2016. "First In First Win: Evidence on Unfairness of Round-Robin Tournaments in Mega-Events," Economics Working Paper Series 1611, University of St. Gallen, School of Economics and Political Science.
    26. Lajos Baráth & Imre Fertő & Štefan Bojnec, 2020. "The Effect of Investment, LFA and Agri‐environmental Subsidies on the Components of Total Factor Productivity: The Case of Slovenian Farms," Journal of Agricultural Economics, Wiley Blackwell, vol. 71(3), pages 853-876, September.
    27. Janka Goldan & Lena Nusser & Michael Gebel, 2022. "School-related Subjective Well-being of Children with and without Special Educational Needs in Inclusive Classrooms," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 15(4), pages 1313-1337, August.
    28. Seonho Shin, 2022. "Evaluating the Effect of the Matching Grant Program for Refugees: An Observational Study Using Matching, Weighting, and the Mantel-Haenszel Test," Journal of Labor Research, Springer, vol. 43(1), pages 103-133, March.
    29. Gabriel Okasa & Kenneth A. Younge, 2022. "Sample Fit Reliability," Papers 2209.06631, arXiv.org.
    30. Goller, Daniel & Krumer, Alex, 2019. "Let’s meet as usual: Do games on non-frequent days differ? Evidence from top European soccer leagues," Economics Working Paper Series 1907, University of St. Gallen, School of Economics and Political Science.
    31. Michael Lechner & Jana Mareckova, 2022. "Modified Causal Forest," Papers 2209.03744, arXiv.org.
    32. Arun Advani & Toru Kitagawa & Tymon Sloczynski, 2018. "Mostly harmless simulations? On the internal validity of empirical Monte Carlo studies," CeMMAP working papers CWP56/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    33. Bodory, Hugo & Camponovo, Lorenzo & Huber, Martin & Lechner, Michael, 2024. "Nonparametric bootstrap for propensity score matching estimators," Statistics & Probability Letters, Elsevier, vol. 208(C).
    34. Bruno Ferman, 2019. "Matching Estimators with Few Treated and Many Control Observations," Papers 1909.05093, arXiv.org, revised Mar 2021.
    35. Kotsogiannis, Christos & Salvadori, Luca & Karangwa, John & Mukamana, Theonille, 2024. "Do tax audits have a dynamic impact? Evidence from corporate income tax administrative data," Journal of Development Economics, Elsevier, vol. 170(C).
    36. Philipp Breidenbach & Timo Mitze, 2022. "Large-scale sport events and COVID-19 infection effects: evidence from the German professional football ‘experiment’," The Econometrics Journal, Royal Economic Society, vol. 25(1), pages 15-45.
    37. Alex Krumer & Michael Lechner, 2018. "Midweek Effect On Soccer Performance: Evidence From The German Bundesliga," Economic Inquiry, Western Economic Association International, vol. 56(1), pages 193-207, January.

  42. Denisova-Schmidt, Elena & Huber, Martin & Leontyeva, Elvira, 2016. "On the development of students’ attitudes towards corruption and cheating in Russian universities," FSES Working Papers 467, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.

    Cited by:

    1. Шмелева Е. Д. & Семенова Т. В., 2019. "Академическое мошенничество студентов: учебная мотивация vs образовательная среда," Вопросы образования // Educational Studies Moscow, National Research University Higher School of Economics, issue 3, pages 101-129.
    2. Evgeniia Shmeleva & Tatiana Semenova, 2019. "Academic Dishonesty among College Students: Academic Motivation vs Contextual Factors," Voprosy obrazovaniya / Educational Studies Moscow, National Research University Higher School of Economics, issue 3, pages 101-129.
    3. Elena Denisova-Schmidt & Martin Huber & Elvira Leontyeva, 2016. "Do Anti-Corruption Educational Campaigns Reach Students? Some Evidence from Russia and Ukraine," Voprosy obrazovaniya / Educational Studies Moscow, National Research University Higher School of Economics, issue 1, pages 61-83.
    4. Anna Abalkina & Alexander Libman, 2020. "The real costs of plagiarism: Russian governors, plagiarized PhD theses, and infrastructure in Russian regions," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2793-2820, December.

  43. Huber, Martin & Kotevska, Ana & Martinovska-Stojcheska, A. & Solovyeva, Anna, 2016. "Evaluating an information campaign about rural development policies in (FYR) Macedonia," FSES Working Papers 469, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.

    Cited by:

    1. Huber, Martin & Camponovo, Lorenzo & Bodory, Hugo & Lechner, Michael, 2016. "A wild bootstrap algorithm for propensity score matching estimators," FSES Working Papers 470, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.

  44. Eva Deuchert & Martin Huber & Mark Schelker, 2016. "Direct and Indirect Effects Based on Difference-in-Differences with an Application to Political Preferences Following the Vietnam Draft Lottery," CESifo Working Paper Series 6000, CESifo.

    Cited by:

    1. Bhalotra, S.; & Karlsson, M.; & Nilsson, T.; & Schwarz, N.;, 2018. "Infant Health, Cognitive Performance and Earnings: Evidence from Inception of the Welfare State in Sweden," Health, Econometrics and Data Group (HEDG) Working Papers 18/06, HEDG, c/o Department of Economics, University of York.
    2. Wunsch, Conny & Strobl, Renate, 2018. "Identification of Causal Mechanisms Based on Between-Subject Double Randomization Designs," IZA Discussion Papers 11626, IZA Network @ LISER.
    3. Annabelle Doerr & Anthony Strittmatter, 2020. "Identifying causal channels of policy reforms with multiple treatments and different types of selection," Papers 2010.05221, arXiv.org.
    4. Hersche Markus & Moor Elias, 2020. "Identification and Estimation of Intensive Margin Effects by Difference-in-Difference Methods," Journal of Causal Inference, De Gruyter, vol. 8(1), pages 272-285, January.
    5. Holm, Anders & Breen, Richard, 2023. "Causal Mediation in Panel Data – Estimation Based on Difference in Differences," SocArXiv kwscz, Center for Open Science.
    6. Doerr, Leo M & Leppert, Elias B & Maennig, Wolfgang, 2025. "Olympic Games and democracy," Economic Analysis and Policy, Elsevier, vol. 87(C), pages 1073-1091.
    7. Martin Huber & Sarina Joy Oberhansli, 2026. "Difference-in-differences for mediation analysis using double machine learning," Papers 2602.23877, arXiv.org.
    8. Ghislandi, Simone & Renner, Anna-Theresa & Varghese, Nirosha Elsem, 2025. "The impact of budget cuts on individual patient health: Causal evidence from hospital closures," Journal of Health Economics, Elsevier, vol. 101(C).
    9. Martin Huber & Mark Schelker & Anthony Strittmatter, 2019. "Direct and Indirect Effects based on Changes-in-Changes," Papers 1909.04981, arXiv.org, revised Oct 2019.
    10. Lin, Lin & He, Min & Sun, Wenkai, 2025. "Security fosters generosity: Social security protection and charitable giving," World Development, Elsevier, vol. 196(C).
    11. Mike Brewer & Thang Dang & Emma Tominey, 2022. "Universal Credit: Welfare Reform and Mental Health," Working Papers 2022-008, Human Capital and Economic Opportunity Working Group.
    12. Zihan Zhang & Lianyan Fu & Dehui Wang, 2026. "Difference-in-Differences using Double Negative Controls and Graph Neural Networks for Unmeasured Network Confounding," Papers 2601.00603, arXiv.org.
    13. Mellace, Giovanni & Pasquini, Alessandra, 2019. "Identify More, Observe Less: Mediation Analysis: Mediation Analysis Synthetic Control," Discussion Papers on Economics 12/2019, University of Southern Denmark, Department of Economics.
    14. Viviana Celli, 2019. "Causal Mediation Analysis in Economics: objectives, assumptions, models," Working Papers 12/19, Sapienza University of Rome, DISS.
    15. Zhang, Yupeng & Yang, Yuchuan, 2025. "Can governmental innovation subsidies promote firm innovative economic efficiency? Evidence from China," International Review of Financial Analysis, Elsevier, vol. 106(C).
    16. Viviana Celli, 2022. "Causal mediation analysis in economics: Objectives, assumptions, models," Journal of Economic Surveys, Wiley Blackwell, vol. 36(1), pages 214-234, February.
    17. Giovanni Mellace & Alessandra Pasquini, 2019. "Identify More, Observe Less: Mediation Analysis Synthetic Control," CEIS Research Paper 474, Tor Vergata University, CEIS, revised 20 Nov 2019.
    18. Masayuki Sawada, 2019. "Noncompliance in randomized control trials without exclusion restrictions," Papers 1910.03204, arXiv.org, revised Jun 2021.
    19. Rajkumar, Vidya Bharathi, 2021. "Male Migration and the Emergence of Female Farm Management in India," 2021 Conference, August 17-31, 2021, Virtual 315329, International Association of Agricultural Economists.

  45. Frölich, Markus & Huber, Martin & Wiesenfarth, Manuel, 2015. "The finite sample performance of semi- and nonparametric estimators for treatment effects and policy evaluation," FSES Working Papers 454, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.

    Cited by:

    1. Czarnitzki, Dirk & Hünermund, Paul & Moshgbar, Nima, 2018. "Public procurement as policy instrument for innovation," ZEW Discussion Papers 18-001, ZEW - Leibniz Centre for European Economic Research.
    2. Albanese, Andrea & Cockx, Bart & Thuy, Yannick, 2015. "Working Time Reductions at the End of the Career: Do They Prolong the Time Spent in Employment?," IZA Discussion Papers 9619, IZA Network @ LISER.
    3. Albanese, Andrea & Cappellari, Lorenzo & Leonardi, Marco, 2017. "The Effects of Youth Labor Market Reforms: Evidence from Italian Apprenticeships," IZA Discussion Papers 10766, IZA Network @ LISER.
    4. Mengshan Xu & Taisuke Otsu, 2022. "Isotonic propensity score matching," Papers 2207.08868, arXiv.org, revised Jan 2025.
    5. Alex Bryson & Michael White, 2019. "HRM and Small-Firm Employee Motivation: Before and After the Great Recession," ILR Review, Cornell University, ILR School, vol. 72(3), pages 749-773, May.
    6. Bensch, Gunther & Kluve, Jochen & Stöterau, Jonathan, 2016. "The market-based dissemination of modern-energy products as a business model for rural entrepreneurs: Evidence from Kenya," Ruhr Economic Papers 635, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    7. Lombardi, Stefano & van den Berg, Gerard J. & Vikström, Johan, 2020. "Empirical Monte Carlo evidence on estimation of Timing-of-Events models," Working Paper Series 2020:26, IFAU - Institute for Evaluation of Labour Market and Education Policy, revised 05 Jan 2021.
    8. Advani, Arun & Kitagawa, Toru & Sloczynski, Tymon, 2019. "Mostly Harmless Simulations? Using Monte Carlo Studies for Estimator Selection," CAGE Online Working Paper Series 411, Competitive Advantage in the Global Economy (CAGE).
    9. Andrea Albanese & Bart Cockx, 2015. "Permanent Wage Cost Subsidies for Older Workers. An Effective Tool for Increasing Working Time and Postponing Early Retirement?," CESifo Working Paper Series 5301, CESifo.
    10. Bryson, Alex & White, Michael, 2017. "HRM and Small-Firm Employee Motivation: Before and after the Recession," IZA Discussion Papers 10737, IZA Network @ LISER.
    11. Czarnitzki, Dirk & Hünermund, Paul & Moshgbar, Nima, 2020. "Public Procurement of Innovation: Evidence from a German Legislative Reform," International Journal of Industrial Organization, Elsevier, vol. 71(C).
    12. Lee, Ying-Ying, 2018. "Efficient propensity score regression estimators of multivalued treatment effects for the treated," Journal of Econometrics, Elsevier, vol. 204(2), pages 207-222.
    13. Jeffrey Smith & Arthur Sweetman, 2016. "Viewpoint: Estimating the causal effects of policies and programs," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 49(3), pages 871-905, August.
    14. Arabsheibani, Gholamreza & Gupta, Prashant & Mishra, Tapas & Parhi, Mamata, 2018. "Wage differential between caste groups: Are younger and older cohorts different?," Economic Modelling, Elsevier, vol. 74(C), pages 10-23.
    15. Nadine Chami & Arthur Sweetman, 2019. "Payment models in primary health care: A driver of the quantity and quality of medical laboratory utilization," Health Economics, John Wiley & Sons, Ltd., vol. 28(10), pages 1166-1178, October.
    16. Stefania, Cardinaleschi & Mirella, Damiani & Fabrizio, Pompei, 2018. "Knowledge-intensive sectors and the role of collective performance-related pay," MPRA Paper 91302, University Library of Munich, Germany.
    17. Zhang, Xue & Sweetman, Arthur, 2018. "Blended capitation and incentives: Fee codes inside and outside the capitated basket," Journal of Health Economics, Elsevier, vol. 60(C), pages 16-29.
    18. Tübbicke Stefan, 2022. "Entropy Balancing for Continuous Treatments," Journal of Econometric Methods, De Gruyter, vol. 11(1), pages 71-89, January.
    19. Alan P. Ker & Abdoul G. Sam, 2018. "Semiparametric estimation of the link function in binary-choice single-index models," Computational Statistics, Springer, vol. 33(3), pages 1429-1455, September.
    20. Arun Advani & Toru Kitagawa & Tymon Sloczynski, 2018. "Mostly harmless simulations? On the internal validity of empirical Monte Carlo studies," CeMMAP working papers CWP56/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    21. Taisuke Otsu & Mengshan Xu, 2022. "Isotonic propensity score matching," STICERD - Econometrics Paper Series 623, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    22. Bensch, Gunther & Kluve, Jochen & Stöterau, Jonathan, 2021. "The market-based dissemination of energy-access technologies as a business model for rural entrepreneurs: Evidence from Kenya," Resource and Energy Economics, Elsevier, vol. 66(C).
    23. Hugo Bodory & Martin Huber & Michael Lechner, 2024. "The Finite Sample Performance of Instrumental Variable-Based Estimators of the Local Average Treatment Effect When Controlling for Covariates," Computational Economics, Springer;Society for Computational Economics, vol. 64(4), pages 2053-2078, October.

  46. Felfe, Christina & Huber, Martin, 2015. "Does preschool boost the development of minority children? The case of Roma children," FSES Working Papers 455, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.

    Cited by:

    1. Luca Corazzini & Elena Meschi & Caterina Pavese, 2020. "Impact of Early Childcare on Immigrant Children's Educational Performance," Working Papers 452, University of Milano-Bicocca, Department of Economics, revised Oct 2020.
    2. Foged, Mette & Hasager, Linea & Peri, Giovanni & Arendt, Jacob Nielsen & Bolvig, Iben, 2023. "Intergenerational spillover effects of language training for refugees," Journal of Public Economics, Elsevier, vol. 220(C).
    3. Jose Cuesta & Mario Negre & Ana Revenga & Maika Schmidt, 2018. "Tackling Income Inequality: What Works and Why?," Journal of Income Distribution, Ad libros publications inc., vol. 26(1), pages 1-48, March.
    4. Micha Kaiser & Jan M. Bauer, 2019. "Preschool Child Care and Child Well-Being in Germany: Does the Migrant Experience Differ?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 144(3), pages 1367-1390, August.

  47. Fricke, Hans & Frölich, Markus & Huber, Martin & Lechner, Michael, 2015. "Endogeneity and non-response bias in treatment evaluation - nonparametric identification of causal effects by instruments," FSES Working Papers 459, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.

    Cited by:

    1. Lechner, Michael & Fricke, Hans & Steinmayr, Andreas, 2017. "The Effect of Physical Activity on Student Performance in College: An Experimental Evaluation," CEPR Discussion Papers 12052, C.E.P.R. Discussion Papers.
    2. Sokbae (Simon) Lee & Bernard Salanie, 2015. "Identifying effects of multivalued treatments," CeMMAP working papers CWP72/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    3. Le-Yu Chen & Yu-Min Yen, 2021. "Estimations of the Local Conditional Tail Average Treatment Effect," Papers 2109.08793, arXiv.org, revised May 2024.
    4. Martin Huber & Anna Solovyeva, 2020. "Direct and Indirect Effects under Sample Selection and Outcome Attrition," Econometrics, MDPI, vol. 8(4), pages 1-25, December.
    5. Yuta Ota & Takahiro Hoshino & Taisuke Otsu, 2024. "Causal Inference With Auxiliary Observations," Keio-IES Discussion Paper Series 2024-022, Institute for Economics Studies, Keio University.
    6. Lukáš Lafférs & Bernhard Schmidpeter, 2021. "Early child development and parents' labor supply," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(2), pages 190-208, March.
    7. Martin Huber, 2020. "On the plausibility of the latent ignorability assumption," Papers 2006.01703, arXiv.org, revised Jun 2020.
    8. Kedagni, Desire, 2021. "Identifying treatment effects in the presence of confounded types," ISU General Staff Papers 202106050700001056, Iowa State University, Department of Economics.
    9. Huber Martin & Wüthrich Kaspar, 2019. "Local Average and Quantile Treatment Effects Under Endogeneity: A Review," Journal of Econometric Methods, De Gruyter, vol. 8(1), pages 1-27, January.
    10. Possebom, Vitor, 2018. "Sharp bounds on the MTE with sample selection," MPRA Paper 89785, University Library of Munich, Germany.
    11. Vitor Possebom, 2019. "Sharp Bounds for the Marginal Treatment Effect with Sample Selection," Papers 1904.08522, arXiv.org.
    12. Huber, Martin & Wüthrich, Kaspar, 2017. "Evaluating local average and quantile treatment effects under endogeneity based on instruments: a review," FSES Working Papers 479, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    13. Heng Chen & Geoffrey R. Dunbar & Rallye Shen, 2017. "The Mode is the Message: Using Predata as Exclusion Restrictions to Evaluate Survey Design," Staff Working Papers 17-43, Bank of Canada.
    14. Fricke, Hans & Lechner, Michael & Steinmayr, Andreas, 2018. "The effects of incentives to exercise on student performance in college," Economics of Education Review, Elsevier, vol. 66(C), pages 14-39.

  48. Lechner, Michael & Huber, Martin & Strittmatter, Anthony, 2015. "Direct and indirect effects of training vouchers for the unemployed," CEPR Discussion Papers 10650, C.E.P.R. Discussion Papers.

    Cited by:

    1. Annabelle Doerr & Anthony Strittmatter, 2020. "Identifying causal channels of policy reforms with multiple treatments and different types of selection," Papers 2010.05221, arXiv.org.
    2. Patrick Ring & Christoph A. Schütt & Dennis J. Snower, 2023. "Care and anger motives in social dilemmas," Theory and Decision, Springer, vol. 95(2), pages 273-308, August.
    3. Karol Madoń & Iga Magda & Marta Palczyńska & Mateusz Smoter, 2024. "What Works for Whom? Youth Labour Market Policy in Poland," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 2, pages 1-34.
    4. Anthony Strittmatter, 2016. "What effect do vocational training vouchers have on the unemployed?," World of Labour, LISER, pages 316-316, November.
    5. Doerr, Annabelle, 2022. "Vocational training for female job returners - Effects on employment, earnings and job quality," Labour Economics, Elsevier, vol. 75(C).
    6. Marco Doretti & Martina Raggi & Elena Stanghellini, 2022. "Exact parametric causal mediation analysis for a binary outcome with a binary mediator," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 31(1), pages 87-108, March.
    7. Matthew Blackwell & Anton Strezhnev, 2022. "Telescope matching for reducing model dependence in the estimation of the effects of time‐varying treatments: An application to negative advertising," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(1), pages 377-399, January.
    8. Farbmacher, Helmut & Huber, Martin & Langen, Henrika & Spindler, Martin, 2020. "Causal mediation analysis with double machine learning," FSES Working Papers 515, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    9. Junquera, Álvaro F., 2024. "More money, more effect? Employment effects of job search programs in Veneto," SocArXiv rjshu, Center for Open Science.
    10. Martin Huber & Mark Schelker & Anthony Strittmatter, 2019. "Direct and Indirect Effects based on Changes-in-Changes," Papers 1909.04981, arXiv.org, revised Oct 2019.
    11. Bratti, Massimiliano & Ghirelli, Corinna & Havari, Enkelejda & Santangelo, Giulia, 2018. "Vocational Training for Unemployed Youth in Latvia: Evidence from a Regression Discontinuity Design," IZA Discussion Papers 11870, IZA Network @ LISER.
    12. Massimiliano Bratti & Corinna Ghirelli & Enkelejda Havari & Giulia Santangelo, 2022. "Vocational training for unemployed youth in Latvia," Journal of Population Economics, Springer;European Society for Population Economics, vol. 35(2), pages 677-717, April.
    13. Doerr, Annabelle, 2022. "Vocational Training for Female Job Returners - Effects on Employment, Earnings and Job Quality," Working papers 2022/02, Faculty of Business and Economics - University of Basel.
    14. Madoń, Karol & Magda, Iga & Palczyńska, Marta & Smoter, Mateusz, . "Co skutecznie wspiera osoby bezrobotne? Aktywne polityki rynku pracy dla osób młodych w Polsce," Gospodarka Narodowa-The Polish Journal of Economics, Szkoła Główna Handlowa w Warszawie / SGH Warsaw School of Economics, vol. 2024(2).
    15. Bhanot, Syon P. & Crost, Benjamin & Leight, Jessica & Mvukiyehe, Eric & Yedgenov, Bauyrzhan, 2021. "Can community service grants foster social and economic integration for youth? A randomized trial in Kazakhstan," Journal of Development Economics, Elsevier, vol. 153(C).

  49. Denisova-Schmidt, Elena & Huber, Martin & Prytula, Yaroslav, 2015. "An experimental evaluation of an anti-corruption intervention among Ukrainian university students," FSES Working Papers 462, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.

    Cited by:

    1. Huber, Martin & Kotevska, Ana & Martinovska-Stojcheska, A. & Solovyeva, Anna, 2016. "Evaluating an information campaign about rural development policies in (FYR) Macedonia," FSES Working Papers 469, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    2. Elena Denisova-Schmidt & Martin Huber & Elvira Leontyeva & Anna Solovyeva, 2021. "Combining experimental evidence with machine learning to assess anti-corruption educational campaigns among Russian university students," Empirical Economics, Springer, vol. 60(4), pages 1661-1684, April.
    3. Gans-Morse, Jordan & Borges, Mariana & Makarin, Alexey & Mannah-Blankson, Theresa & Nickow, Andre & Zhang, Dong, 2018. "Reducing bureaucratic corruption: Interdisciplinary perspectives on what works," World Development, Elsevier, vol. 105(C), pages 171-188.
    4. Giulia Mugellini & Sara Della Bella & Marco Colagrossi & Giang Ly Isenring & Martin Killias, 2021. "Public sector reforms and their impact on the level of corruption: A systematic review," Campbell Systematic Reviews, John Wiley & Sons, vol. 17(2), June.
    5. Denisova-Schmidt, Elena & Prytula, Yaroslav, 2018. "Business corruption in Ukraine: A way to get things done?," Business Horizons, Elsevier, vol. 61(6), pages 867-879.

  50. Huber, Martin & Mellace, Giovanni & Lechner, Michael, 2014. "The finite sample performance of estimators for mediation analysis under sequential conditional independence," Economics Working Paper Series 1415, University of St. Gallen, School of Economics and Political Science, revised Nov 2014.

    Cited by:

    1. Hugo Bodory & Martin Huber & Michael Lechner, 2022. "The finite sample performance of instrumental variable-based estimators of the Local Average Treatment Effect when controlling for covariates," Papers 2212.07379, arXiv.org.
    2. Lombardi, Stefano & van den Berg, Gerard J. & Vikström, Johan, 2020. "Empirical Monte Carlo evidence on estimation of Timing-of-Events models," Working Paper Series 2020:26, IFAU - Institute for Evaluation of Labour Market and Education Policy, revised 05 Jan 2021.
    3. Advani, Arun & Kitagawa, Toru & Sloczynski, Tymon, 2019. "Mostly Harmless Simulations? Using Monte Carlo Studies for Estimator Selection," CAGE Online Working Paper Series 411, Competitive Advantage in the Global Economy (CAGE).
    4. Bijwaard, Govert & Alessie, Rob & Angelini, Viola, 2018. "The Effect of Early Life Health on Later Life Home Care Use: The Mediating Role of Household Composition," IZA Discussion Papers 11729, IZA Network @ LISER.
    5. Ren, Qianping & Wang, Liyan & Ye, Maoliang, 2025. "Long-term impacts of early adversity on subjective well-being: Evidence from the Chinese great famine," Journal of Economic Behavior & Organization, Elsevier, vol. 230(C).
    6. Frölich, Markus & Huber, Martin & Wiesenfarth, Manuel, 2015. "The Finite Sample Performance of Semi- and Nonparametric Estimators for Treatment Effects and Policy Evaluation," IZA Discussion Papers 8756, IZA Network @ LISER.
    7. Bellani, Luna & Bia, Michela Gianna, 2017. "The Long-Run Impact of Childhood Poverty and the Mediating Role of Education," IZA Discussion Papers 10677, IZA Network @ LISER.
    8. Mellace, Giovanni & Pasquini, Alessandra, 2019. "Identify More, Observe Less: Mediation Analysis: Mediation Analysis Synthetic Control," Discussion Papers on Economics 12/2019, University of Southern Denmark, Department of Economics.
    9. Giovanni Mellace & Alessandra Pasquini, 2022. "Mediation Analysis Synthetic Control," Temi di discussione (Economic working papers) 1389, Bank of Italy, Economic Research and International Relations Area.
    10. Bodory, Hugo & Camponovo, Lorenzo & Huber, Martin & Lechner, Michael, 2016. "The Finite Sample Performance of Inference Methods for Propensity Score Matching and Weighting Estimators," IZA Discussion Papers 9706, IZA Network @ LISER.
    11. Arun Advani & Toru Kitagawa & Tymon Sloczynski, 2018. "Mostly harmless simulations? On the internal validity of empirical Monte Carlo studies," CeMMAP working papers CWP56/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    12. Giovanni Mellace & Alessandra Pasquini, 2019. "Identify More, Observe Less: Mediation Analysis Synthetic Control," CEIS Research Paper 474, Tor Vergata University, CEIS, revised 20 Nov 2019.
    13. Harold Kincaid, 2025. "Statistical variable selection and causality in the social and behavioral sciences," Quality & Quantity: International Journal of Methodology, Springer, vol. 59(2), pages 1383-1404, April.
    14. Stephen Whelan, 2017. "Does homeownership affect education outcomes?," World of Labour, LISER, pages 342-342, April.

  51. Denisova-Schmidt, Elena & Huber, Martin, 2014. "Regional Differences in Perceived Corruption among Ukrainian Firms," Economics Working Paper Series 1407, University of St. Gallen, School of Economics and Political Science.

    Cited by:

    1. Huber, Martin & Tyahlo, Svitlana, 2016. "How war affects political attitudes: evidence from eastern Ukraine," FSES Working Papers 472, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    2. Denisova-Schmidt, Elena & Huber, Martin & Prytula, Yaroslav, 2015. "An experimental evaluation of an anti-corruption intervention among Ukrainian university students," FSES Working Papers 462, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    3. Teichmann, Fabian & Falker, Marie-Christin & Sergi, Bruno S., 2020. "Extractive industries, corruption and potential solutions. The case of Ukraine," Resources Policy, Elsevier, vol. 69(C).
    4. Denisova-Schmidt, Elena & Prytula, Yaroslav, 2018. "Business corruption in Ukraine: A way to get things done?," Business Horizons, Elsevier, vol. 61(6), pages 867-879.

  52. Huber, Martin & Lechner, Michael & Wunsch, Conny, 2014. "Workplace health promotion and labour market performance of employees," Working papers 2014/06, Faculty of Business and Economics - University of Basel.

    Cited by:

    1. Broszeit, Sandra & Laible, Marie-Christine, 2017. "Examining the link between health measures, management practices and establishment performance," IAB-Discussion Paper 201726, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    2. Jirjahn, Uwe & Mohrenweiser, Jens, 2025. "Management Practices, Workplace Health Promotion and Productivity," IZA Discussion Papers 18059, IZA Network @ LISER.
    3. Doerr, Annabelle, 2022. "Vocational training for female job returners - Effects on employment, earnings and job quality," Labour Economics, Elsevier, vol. 75(C).
    4. Ong, Rachel & Nguyen, Toan & Kendall, Garth, 2018. "The impact of intergenerational financial transfers on health and wellbeing outcomes: A longitudinal study," Social Science & Medicine, Elsevier, vol. 214(C), pages 179-186.
    5. Yakymovych, Yaroslav, 2024. "Medical certificates and sickness absence: who stays away from work if monitoring is relaxed?," Working Paper Series 2024:19, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    6. Marwah Badr Zaya Yousif & Taicir Moalla Loukil, 2022. "Determining the Effect of Narcissistic Leadership on Employee Performance: An applied Study in a Private College in Iraq," Academic Journal of Interdisciplinary Studies, Richtmann Publishing Ltd, vol. 11, September.
    7. Doerr, Annabelle, 2022. "Vocational Training for Female Job Returners - Effects on Employment, Earnings and Job Quality," Working papers 2022/02, Faculty of Business and Economics - University of Basel.
    8. Aizawa, Toshiaki & Okudaira, Hiroko & Kitagawa, Ritsu & Kuroda, Sachiko & Owan, Hideo, 2024. "Employee well-being in the digital age: Assessing the impacts of a smartphone application in the workplace," Economics & Human Biology, Elsevier, vol. 55(C).

  53. Deuchert, Eva & Huber, Martin, 2014. "A cautionary tale about control variables in IV estimation," FSES Working Papers 453, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.

    Cited by:

    1. Andrei Barbos & Minglu Sun, 2021. "The effect of awarding disability benefits on opioid consumption," Health Economics, John Wiley & Sons, Ltd., vol. 30(11), pages 2794-2807, November.
    2. Sallin, Aurelién, 2021. "Estimating returns to special education: combining machine learning and text analysis to address confounding," Economics Working Paper Series 2109, University of St. Gallen, School of Economics and Political Science.
    3. Bensch, Gunther & Gotz, Gunnar & Peters, Jörg, 2020. "Effects of Rural Electrification on Employment: A Comment on Dinkelman (2011)," MetaArXiv zhn9b, Center for Open Science.
    4. Bratti, Massimiliano & Mendola, Mariapia & Miranda, Alfonso, 2015. "Hard to Forget: The Long-Lasting Impact of War on Mental Health," IZA Discussion Papers 9269, IZA Network @ LISER.
    5. Fenton Villar, Paul, 2020. "The Extractive Industries Transparency Initiative (EITI) and trust in politicians," Resources Policy, Elsevier, vol. 68(C).
    6. Deuchert, Eva & Huber, Martin, 2014. "A cautionary tale about control variables in IV estimation," FSES Working Papers 453, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    7. Gerten, Elisa & Beckmann, Michael & Kräkel, Matthias, 2022. "Information and Communication Technology, Hierarchy, and Job Design," IZA Discussion Papers 15491, IZA Network @ LISER.
    8. Dertinger, Andrea & Hirth, Lion, 2020. "Reforming the electric power industry in developing economies evidence on efficiency and electricity access outcomes," Energy Policy, Elsevier, vol. 139(C).
    9. Breen, Richard & Ermisch, John, 2021. "Instrumental Variable Estimation in Demographic Studies: The LATE interpretation of the IV estimator with heterogenous effects," SocArXiv vx9m7, Center for Open Science.
    10. Wang, Xintong & Flores-Lagunes, Alfonso, 2020. "Conscription and Military Service: Do They Result in Future Violent and Non-Violent Incarcerations and Recidivism?," IZA Discussion Papers 14003, IZA Network @ LISER.
    11. Deuchert, Eva & Huber, Martin & Schelker, Mark, 2017. "Direct and indirect effects based on difference-in-differences with an application to political preferences following the Vietnam draft lottery," FSES Working Papers 473, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    12. Paolo Croce & Matteo Filippi & Paolo Piselli & Andrea Ramazzotti, 2025. "Internal Migration, Local Development and Structural Change: Evidence from the Italian Golden Age," CSEF Working Papers 751, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    13. Wüthrich, Kaspar, 2020. "A Comparison of Two Quantile Models With Endogeneity," University of California at San Diego, Economics Working Paper Series qt0q43931f, Department of Economics, UC San Diego.
    14. Aur'elien Sallin, 2021. "Estimating returns to special education: combining machine learning and text analysis to address confounding," Papers 2110.08807, arXiv.org, revised Feb 2022.
    15. Schaubert, Marianna, 2018. "Behavioral Response of Non-Resident Parents to Child Support Obligations: Evidence From SOEP," EconStor Preprints 203675, ZBW - Leibniz Information Centre for Economics.
    16. Porreca, Eleonora & Rosolia, Alfonso, 2024. "Immigration and unemployment. Do natives get it right?," Journal of Economic Behavior & Organization, Elsevier, vol. 225(C), pages 522-540.
    17. Schaubert, Marianna, 2022. "Do courts know how to incentivize? Behavioral response of non-resident parents to child support obligations," Children and Youth Services Review, Elsevier, vol. 137(C).
    18. Riedel, Nadine & Simmler, Martin & Wittrock, Christian, 2020. "Local fiscal policies and their impact on the number and spatial distribution of new firms," Regional Science and Urban Economics, Elsevier, vol. 83(C).
    19. Haveresch, Nils & Ankel-Peters, Jörg & Bensch, Gunther, 2025. "A Slippery Slope: Topographic Variation as an Instrument," I4R Discussion Paper Series 278, The Institute for Replication (I4R).
    20. Tran, My & Gannon, Brenda & Rose, Christiern, 2023. "The effect of housing wealth on older adults’ health care utilization: Evidence from fluctuations in the U.S. housing market," Journal of Health Economics, Elsevier, vol. 88(C).
    21. Adrian Chadi, 2019. "Dissatisfied with life or with being interviewed? Happiness and the motivation to participate in a survey," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 53(3), pages 519-553, October.
    22. Aepli, Manuel, 2019. "Technological change and occupation mobility: A task-based approach to horizontal mismatch," GLO Discussion Paper Series 361, Global Labor Organization (GLO).
    23. Masayuki Sawada, 2019. "Noncompliance in randomized control trials without exclusion restrictions," Papers 1910.03204, arXiv.org, revised Jun 2021.
    24. Mustafa Özer & Jan Fidrmuc, 2024. "Does Immigration Affect the Natives’ Mental Health? Causal Evidence from Forced Syrian Migration to Turkey," CESifo Working Paper Series 11399, CESifo.
    25. Glynn, Adam & Rueda, miguel & Schuessler, Julian, 2023. "Post-Instrument Bias in Linear Models," SocArXiv axn4t, Center for Open Science.

  54. Huber, Martin, 2014. "Causal pitfalls in the decomposition of wage gaps," Economics Working Paper Series 1405, University of St. Gallen, School of Economics and Political Science.

    Cited by:

    1. Anthony Strittmatter & Conny Wunsch, 2025. "Labor market sorting and the gender pay gap revisited," Journal of Population Economics, Springer;European Society for Population Economics, vol. 38(3), pages 1-41, September.
    2. Wunsch, Conny & Strittmatter, Anthony, 2021. "The Gender Pay Gap Revisited with Big Data: Do Methodological Choices Matter?," CEPR Discussion Papers 15840, C.E.P.R. Discussion Papers.
    3. Martin Huber & Anna Solovyeva, 2020. "Direct and Indirect Effects under Sample Selection and Outcome Attrition," Econometrics, MDPI, vol. 8(4), pages 1-25, December.
    4. Ana Fernandes & Martin Huber & Giannina Vaccaro, 2020. "Gender Differences in Wage Expectations," Papers 2003.11496, arXiv.org.
    5. Collischon, Matthias, 2016. "Personality, ability, marriage and the gender wage gap: Evidence from Germany," FAU Discussion Papers in Economics 08/2016, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
    6. Valentina S. Consiglio & Denisa M. Sologon, 2022. "The Myth of Equal Opportunity in Germany? Wage Inequality and the Role of (Non-)academic Family Background for Differences in Capital Endowments and Returns on the Labour Market," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 159(2), pages 455-493, January.
    7. Peter Huber & Ulrike Huemer, 2015. "Gender Differences in Lifelong Learning: An Empirical Analysis of the Impact of Marriage and Children," LABOUR, CEIS, vol. 29(1), pages 32-51, March.
    8. Sloczynski, Tymon, 2018. "Average Gaps and Oaxaca's Blinder Decompositions: A Cautionary Tale about Regression Estimates of Racial Differences in Labor Market Outcomes," IZA Discussion Papers 12041, IZA Network @ LISER.
    9. Adugna, Hailu, 2024. "Fintech dividend: How would digital financial services impact income inequality across countries?," Technology in Society, Elsevier, vol. 77(C).
    10. Farbmacher, Helmut & Huber, Martin & Langen, Henrika & Spindler, Martin, 2020. "Causal mediation analysis with double machine learning," FSES Working Papers 515, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    11. Biewen, Martin & Fitzenberger, Bernd & Seckler, Matthias, 2020. "Counterfactual quantile decompositions with selection correction taking into account Huber/Melly (2015): An application to the German gender wage gap," Labour Economics, Elsevier, vol. 67(C).
    12. Bonaccolto-Töpfer, Marina & Satlukal, Sascha, 2024. "Gender differences in reservation wages: New evidence for Germany," Labour Economics, Elsevier, vol. 91(C).
    13. Martin Huber & Mark Schelker & Anthony Strittmatter, 2019. "Direct and Indirect Effects based on Changes-in-Changes," Papers 1909.04981, arXiv.org, revised Oct 2019.
    14. Frölich, Markus & Huber, Martin & Wiesenfarth, Manuel, 2015. "The Finite Sample Performance of Semi- and Nonparametric Estimators for Treatment Effects and Policy Evaluation," IZA Discussion Papers 8756, IZA Network @ LISER.
    15. Strittmatter, Anthony, 2019. "Heterogeneous earnings effects of the job corps by gender: A translated quantile approach," Labour Economics, Elsevier, vol. 61(C).
    16. Hanewald, Katja & Jia, Ruo & Liu, Zining, 2021. "Why is inequality higher among the old? Evidence from China," China Economic Review, Elsevier, vol. 66(C).
    17. Prifti, Ervin & Daidone, Silvio & Davis, Benjamin, 2019. "Causal pathways of the productive impacts of cash transfers: Experimental evidence from Lesotho," World Development, Elsevier, vol. 115(C), pages 258-268.
    18. Brown, Martin & Henchoz, Caroline & Spycher, Thomas, 2018. "Culture and financial literacy: Evidence from a within-country language border," Journal of Economic Behavior & Organization, Elsevier, vol. 150(C), pages 62-85.
    19. Anthony Strittmatter, 2019. "Heterogeneous Earnings Effects of the Job Corps by Gender Earnings: A Translated Quantile Approach," Papers 1908.08721, arXiv.org.
    20. Sloczynski, Tymon, 2015. "Average Wage Gaps and Oaxaca–Blinder Decompositions," IZA Discussion Papers 9036, IZA Network @ LISER.
    21. Martin Huber, 2016. "Disentangling policy effects into causal channels," World of Labour, LISER, pages 259-259, May.
    22. Karolina Goraus & Joanna Tyrowicz & Lucas Velde, 2017. "Which Gender Wage Gap Estimates to Trust? A Comparative Analysis," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 63(1), pages 118-146, March.
    23. Viviana Celli, 2019. "Causal Mediation Analysis in Economics: objectives, assumptions, models," Working Papers 12/19, Sapienza University of Rome, DISS.
    24. Martin Huber & Anna Solovyeva, 2020. "On the Sensitivity of Wage Gap Decompositions," Journal of Labor Research, Springer, vol. 41(1), pages 1-33, June.
    25. Viviana Celli, 2022. "Causal mediation analysis in economics: Objectives, assumptions, models," Journal of Economic Surveys, Wiley Blackwell, vol. 36(1), pages 214-234, February.
    26. Tymon Słoczyński, 2020. "Average Gaps and Oaxaca–Blinder Decompositions: A Cautionary Tale about Regression Estimates of Racial Differences in Labor Market Outcomes," ILR Review, Cornell University, ILR School, vol. 73(3), pages 705-729, May.
    27. Bensch, Gunther & Kluve, Jochen & Stöterau, Jonathan, 2021. "The market-based dissemination of energy-access technologies as a business model for rural entrepreneurs: Evidence from Kenya," Resource and Energy Economics, Elsevier, vol. 66(C).
    28. Yamamoto, Yuki & Matsumoto, Ken’ichi & Kawata, Keisuke & Kaneko, Shinji, 2019. "Gender-based differences in employment opportunities and wage distribution in Nepal," Journal of Asian Economics, Elsevier, vol. 64(C), pages 1-1.
    29. Jeremiah Richey & Nikolas Tromp, 2021. "The Black–White wage gap among young men in 1990 versus 2011: With sample selection adjustments," Bulletin of Economic Research, Wiley Blackwell, vol. 73(4), pages 780-805, October.
    30. Nicolas Herault & Francisco Azpitarte, 2016. "Understanding Changes in the Distribution and Redistribution of Income: A Unifying Decomposition Framework," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 62(2), pages 266-282, June.
    31. Brown, Martin & Henchoz, Caroline & Spycher, Thomas, 2017. "Culture and Financial Literacy," Working Papers on Finance 1703, University of St. Gallen, School of Finance.
    32. Chung, Ha-Joon & Hong, Guanglei, 2024. "Endogenous Confounding in Causal Decomposition Analysis," SocArXiv dtbrn, Center for Open Science.
    33. Tromp, Nikolas & Kwak, Juwon, 2022. "Graduating to a gender wage gap in South Korea," Journal of Asian Economics, Elsevier, vol. 78(C).
    34. Boris Kaiser, 2016. "Decomposing differences in arithmetic means: a doubly robust estimation approach," Empirical Economics, Springer, vol. 50(3), pages 873-899, May.

  55. Markus Frölich & Martin Huber, 2014. "Direct and indirect treatment effects: causal chains and mediation analysis with instrumental variables," CeMMAP working papers 31/14, Institute for Fiscal Studies.

    Cited by:

    1. Paul Berbée & Sebastian Till Braun & Richard Franke, 2025. "Reversing fortunes of German regions, 1926–2019: Boon and bane of early industrialization?," Journal of Economic Growth, Springer, vol. 30(2), pages 307-337, June.
    2. Monsees, Daniel & Schmitz, Hendrik, 2023. "The effect of compulsory schooling on vaccination against COVID and Influenza," Ruhr Economic Papers 1011, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    3. Denise Hörner & Adrien Bouguen & Markus Frölich & Meike Wollni, 2019. "The Effects of Decentralized and Video-based Extension on the Adoption of Integrated Soil Fertility Management – Experimental Evidence from Ethiopia," NBER Working Papers 26052, National Bureau of Economic Research, Inc.
    4. Kara E. Rudolph & Iván Díaz, 2022. "When the ends do not justify the means: Learning who is predicted to have harmful indirect effects," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(S2), pages 573-589, December.
    5. Francesco Longo & Karl Claxton & Stephen Martin & James Lomas, 2023. "More long‐term care for better healthcare and vice versa: investigating the mortality effects of interactions between these public sectors," Fiscal Studies, John Wiley & Sons, vol. 44(2), pages 189-216, June.
    6. Mensah, Edouard R. & Shinde, Nilesh & Kakpo, Ange T. & Djenontin, Ida N.S., 2024. "The human well-being outcomes of tree plantations in sub-Saharan Africa: A reassessment of evidence using longitudinal subnational-year data," Forest Policy and Economics, Elsevier, vol. 160(C).
    7. Karim Bekhtiar, 2023. "The decline of manufacturing employment and the rise of the far-right in Austria," Economics working papers 2023-09, Department of Economics, Johannes Kepler University Linz, Austria.
    8. Wunsch, Conny & Strobl, Renate, 2018. "Identification of Causal Mechanisms Based on Between-Subject Double Randomization Designs," IZA Discussion Papers 11626, IZA Network @ LISER.
    9. Tadao Hoshino & Takahide Yanagi, 2018. "Treatment Effect Models with Strategic Interaction in Treatment Decisions," Papers 1810.08350, arXiv.org, revised Feb 2023.
    10. Guo, Xu & Li, Runze & Liu, Jingyuan & Zeng, Mudong, 2023. "Statistical inference for linear mediation models with high-dimensional mediators and application to studying stock reaction to COVID-19 pandemic," Journal of Econometrics, Elsevier, vol. 235(1), pages 166-179.
    11. Ohrnberger, Julius & Anselmi, Laura & Fichera, Eleonora & Sutton, Matt, 2020. "The effect of cash transfers on mental health: Opening the black box – A study from South Africa," Social Science & Medicine, Elsevier, vol. 260(C).
    12. Martin Huber & Yu‐Chin Hsu & Ying‐Ying Lee & Layal Lettry, 2020. "Direct and indirect effects of continuous treatments based on generalized propensity score weighting," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(7), pages 814-840, November.
    13. Le-Yu Chen & Yu-Min Yen, 2021. "Estimations of the Local Conditional Tail Average Treatment Effect," Papers 2109.08793, arXiv.org, revised May 2024.
    14. Martin Huber & Anna Solovyeva, 2020. "Direct and Indirect Effects under Sample Selection and Outcome Attrition," Econometrics, MDPI, vol. 8(4), pages 1-25, December.
    15. Liu, Shilei & Xu, Jintao, 2019. "Livelihood mushroomed: Examining household level impacts of non-timber forest products (NTFPs) under new management regime in China's state forests," Forest Policy and Economics, Elsevier, vol. 98(C), pages 44-53.
    16. Oskorouchi, Hamid R. & Sousa-Poza, Alfonso & Bloom, David E., 2024. "The long-term cognitive and schooling effects of childhood vaccinations in China," China Economic Review, Elsevier, vol. 88(C).
    17. Marco Doretti & Martina Raggi & Elena Stanghellini, 2022. "Exact parametric causal mediation analysis for a binary outcome with a binary mediator," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 31(1), pages 87-108, March.
    18. Deuchert, Eva & Huber, Martin & Schelker, Mark, 2017. "Direct and indirect effects based on difference-in-differences with an application to political preferences following the Vietnam draft lottery," FSES Working Papers 473, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    19. Gorgens, Tue & Meng, Xin & Zhao, Guochang, 2024. "Impact of Temporary Migration on Long-Run Economic Development: The Legacy of the Sent-down Youth Program," IZA Discussion Papers 16951, IZA Network @ LISER.
    20. Christian Dippel & Robert Gold & Stephan Heblich & Rodrigo Pinto, 2017. "Instrumental Variables and Causal Mechanisms: Unpacking the Effect of Trade on Workers and Voters," CESifo Working Paper Series 6816, CESifo.
    21. Huber Martin & Wüthrich Kaspar, 2019. "Local Average and Quantile Treatment Effects Under Endogeneity: A Review," Journal of Econometric Methods, De Gruyter, vol. 8(1), pages 1-27, January.
    22. Muhammad Shoukat Malik & Lubna Kanwal, 2018. "Impact of Corporate Social Responsibility Disclosure on Financial Performance: Case Study of Listed Pharmaceutical Firms of Pakistan," Journal of Business Ethics, Springer, vol. 150(1), pages 69-78, June.
    23. Soonwoo Kwon & Jonathan Roth, 2024. "Testing Mechanisms," Papers 2404.11739, arXiv.org, revised Feb 2026.
    24. Martin Huber & Mark Schelker & Anthony Strittmatter, 2019. "Direct and Indirect Effects based on Changes-in-Changes," Papers 1909.04981, arXiv.org, revised Oct 2019.
    25. Krumme, Anna & Westphal, Matthias, 2026. "Is academic-track schooling worthwhile without college? Decomposing monetary returns to education," Ruhr Economic Papers 1197, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    26. Nguyen, Ha & Mitrou, Francis, 2025. "Fertility responses to tropical cyclones: Causal evidence and mechanisms," MPRA Paper 126989, University Library of Munich, Germany.
    27. Shishir Shakya & Nabamita Dutta, 2024. "How Individualism Influences Female Financial Inclusion through Education: Evidence from Historical Prevalence of Infectious Diseases," Working Papers 24-03, Department of Economics, Appalachian State University.
    28. Zemba, Cornelius & Prah, Stephen & Ng’ombe, John N., 2025. "Agricultural cooperatives boost food security through input subsidies in rural Zambia," World Development Perspectives, Elsevier, vol. 39(C).
    29. Guo, Xu & Li, Runze & Liu, Jingyuan & Zeng, Mudong, 2024. "Reprint: Statistical inference for linear mediation models with high-dimensional mediators and application to studying stock reaction to COVID-19 pandemic," Journal of Econometrics, Elsevier, vol. 239(2).
    30. Prifti, Ervin & Daidone, Silvio & Davis, Benjamin, 2019. "Causal pathways of the productive impacts of cash transfers: Experimental evidence from Lesotho," World Development, Elsevier, vol. 115(C), pages 258-268.
    31. Salm, Martin & Siflinger, Bettina & Xie, Mingjia, 2021. "The Effect of Retirement on Mental Health: Indirect Treatment Effects and Causal Mediation," Other publications TiSEM e28efa7f-8219-437c-a26d-2, Tilburg University, School of Economics and Management.
    32. Martin Huber, 2016. "Disentangling policy effects into causal channels," World of Labour, LISER, pages 259-259, May.
    33. Viviana Celli, 2019. "Causal Mediation Analysis in Economics: objectives, assumptions, models," Working Papers 12/19, Sapienza University of Rome, DISS.
    34. Jiawei Fu, 2024. "Extracting Mechanisms from Heterogeneous Effects: An Identification Strategy for Mediation Analysis," Papers 2403.04131, arXiv.org, revised Nov 2025.
    35. Kantorowicz, Jarosław & Köppl–Turyna, Monika, 2019. "Disentangling the fiscal effects of local constitutions," Journal of Economic Behavior & Organization, Elsevier, vol. 163(C), pages 63-87.
    36. Lawrence, Jourdyn A. & Hsu, Yu-Tien & Cory, Hannah J. & Kawachi, Ichiro, 2024. "Racial discrimination and cognitive function: An instrumental variable analysis," Social Science & Medicine, Elsevier, vol. 363(C).
    37. Manu Navjeevan & Rodrigo Pinto & Andres Santos, 2023. "Identification and Estimation in a Class of Potential Outcomes Models," Papers 2310.05311, arXiv.org.
    38. Breda, Thomas & Grenet, Julien & Monnet, Marion & Van Effenterre, Clémentine, 2020. "Do Female Role Models Reduce the Gender Gap in Science? Evidence from French High Schools," IZA Discussion Papers 13163, IZA Network @ LISER.
    39. Bashar, Omar & Mallick, Debdulal, 2021. "Frequency of Shocks, Resilience and Shock Persistence: Evidence from Natural Disasters," MPRA Paper 107517, University Library of Munich, Germany.
    40. Atalay, Kadir & Staneva, Anita & Zhu, Rong, 2026. "Integration or Isolation? The Impact of Retirement on Social Capital," IZA Discussion Papers 18396, IZA Network @ LISER.
    41. Kosse, Fabian & Deckers, Thomas & Pinger, Pia & Schildberg-Hörisch, Hannah & Falk, Armin, 2019. "The Formation of Prosociality: Causal Evidence on the Role of Social Environment," Rationality and Competition Discussion Paper Series 167, CRC TRR 190 Rationality and Competition.
    42. Viviana Celli, 2022. "Causal mediation analysis in economics: Objectives, assumptions, models," Journal of Economic Surveys, Wiley Blackwell, vol. 36(1), pages 214-234, February.
    43. Lochmann, Alexia & Rapoport, Hillel & Speciale, Biagio, 2019. "The effect of language training on immigrants’ economic integration: Empirical evidence from France," European Economic Review, Elsevier, vol. 113(C), pages 265-296.
    44. Yu-Chin Hsu & Martin Huber & Yu-Min Yen, 2023. "Doubly Robust Estimation of Direct and Indirect Quantile Treatment Effects with Machine Learning," Papers 2307.01049, arXiv.org.
    45. Yi-feng Zhang & Min-xuan Ji & Xiu-zhi Zheng, 2023. "Digital Economy, Agricultural Technology Innovation, and Agricultural Green Total Factor Productivity," SAGE Open, , vol. 13(3), pages 21582440231, August.
    46. Arthur Lewbel, 2018. "The Identification Zoo - Meanings of Identification in Econometrics," Boston College Working Papers in Economics 957, Boston College Department of Economics, revised 14 Dec 2019.
    47. Huber, Martin & Steinmayr, Andreas, 2017. "A Framework for Separating Individual Treatment Effects From Spillover, Interaction, and General Equilibrium Effects," Rationality and Competition Discussion Paper Series 21, CRC TRR 190 Rationality and Competition.
    48. Avdeenko, Alexandra & Frölich, Markus, 2020. "Research standards in empirical development economics: What’s well begun, is half done," World Development, Elsevier, vol. 127(C).
    49. Sung Jae Jun & Joris Pinkse & Haiqing Xu & Neşe Yıldız, 2016. "Multiple Discrete Endogenous Variables in Weakly-Separable Triangular Models," Econometrics, MDPI, vol. 4(1), pages 1-21, February.
    50. Bijwaard, G.E.; & Jones, A.M.;, 2019. "Education and life-expectancy and how the relationship is mediated through changes in behaviour: a principal stratification approach for hazard rates," Health, Econometrics and Data Group (HEDG) Working Papers 19/05, HEDG, c/o Department of Economics, University of York.

  56. Frölich, Markus & Huber, Martin, 2014. "Treatment Evaluation with Multiple Outcome Periods under Endogeneity and Attrition," IZA Discussion Papers 7972, IZA Network @ LISER.

    Cited by:

    1. Hans Fricke & Markus Frölich & Martin Huber & Michael Lechner, 2020. "Endogeneity and non‐response bias in treatment evaluation – nonparametric identification of causal effects by instruments," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(5), pages 481-504, August.
    2. Christophe Bell'ego & David Benatia & Vincent Dortet-Bernardet, 2023. "The Chained Difference-in-Differences," Papers 2301.01085, arXiv.org, revised Jan 2025.
    3. Martin Huber & Anna Solovyeva, 2020. "Direct and Indirect Effects under Sample Selection and Outcome Attrition," Econometrics, MDPI, vol. 8(4), pages 1-25, December.
    4. Frölich, Markus & Huber, Martin, 2014. "Direct and Indirect Treatment Effects: Causal Chains and Mediation Analysis with Instrumental Variables," IZA Discussion Papers 8280, IZA Network @ LISER.
    5. Martin Huber, 2020. "On the plausibility of the latent ignorability assumption," Papers 2006.01703, arXiv.org, revised Jun 2020.
    6. Huber Martin & Wüthrich Kaspar, 2019. "Local Average and Quantile Treatment Effects Under Endogeneity: A Review," Journal of Econometric Methods, De Gruyter, vol. 8(1), pages 1-27, January.
    7. Possebom, Vitor, 2018. "Sharp bounds on the MTE with sample selection," MPRA Paper 89785, University Library of Munich, Germany.
    8. Kevin L. Cope, 2023. "Measuring law's normative force," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 20(4), pages 1005-1044, December.
    9. Grenet, Julien & Grönqvist, Hans & Niknami, Susan, 2025. "The effects of electronic monitoring on offenders and their families," Working Paper Series 2025:12, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    10. Kaitlin Anderson & Gema Zamarro & Jennifer Steele & Trey Miller, 2021. "Comparing Performance of Methods to Deal With Differential Attrition in Randomized Experimental Evaluations," Evaluation Review, , vol. 45(1-2), pages 70-104, February.
    11. Vitor Possebom, 2019. "Sharp Bounds for the Marginal Treatment Effect with Sample Selection," Papers 1904.08522, arXiv.org.
    12. Salm, Martin & Siflinger, Bettina & Xie, Mingjia, 2021. "The Effect of Retirement on Mental Health: Indirect Treatment Effects and Causal Mediation," Other publications TiSEM e28efa7f-8219-437c-a26d-2, Tilburg University, School of Economics and Management.
    13. Gayani Rathnayake & Akanksha Negi & Otavio Bartalotti & Xueyan Zhao, 2024. "Difference-in-Differences with Sample Selection," Papers 2411.09221, arXiv.org, revised Feb 2026.
    14. Huber, Martin & Wüthrich, Kaspar, 2017. "Evaluating local average and quantile treatment effects under endogeneity based on instruments: a review," FSES Working Papers 479, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    15. Akanksha Negi, 2020. "Doubly weighted M-estimation for nonrandom assignment and missing outcomes," Papers 2011.11485, arXiv.org.
    16. Avdeenko, Alexandra & Frölich, Markus, 2020. "Research standards in empirical development economics: What’s well begun, is half done," World Development, Elsevier, vol. 127(C).

  57. Huber, Martin & Mellace, Giovanni & Lechner, Michael, 2014. "Why do tougher caseworkers increase employment? The role of programme assignment as a causal mechanism," Economics Working Paper Series 1414, University of St. Gallen, School of Economics and Political Science.

    Cited by:

    1. Lechner, Michael, 2019. "Modified Causal Forests for Estimating Heterogeneous Causal Effects," CEPR Discussion Papers 13430, C.E.P.R. Discussion Papers.
    2. Wifo, 2017. "WIFO-Monatsberichte, Heft 6/2017," WIFO Monatsberichte (monthly reports), WIFO, vol. 90(6), June.
    3. Lechner, Michael & Huber, Martin & Strittmatter, Anthony, 2015. "Direct and indirect effects of training vouchers for the unemployed," CEPR Discussion Papers 10650, C.E.P.R. Discussion Papers.
    4. Ville Vehkasalo, 2020. "Effects of face-to-face counselling on unemployment rate and duration: evidence from a Public Employment Service reform," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 54(1), pages 1-14, December.
    5. Wunsch, Conny & Strobl, Renate, 2018. "Identification of Causal Mechanisms Based on Between-Subject Double Randomization Designs," IZA Discussion Papers 11626, IZA Network @ LISER.
    6. Annabelle Doerr & Anthony Strittmatter, 2020. "Identifying causal channels of policy reforms with multiple treatments and different types of selection," Papers 2010.05221, arXiv.org.
    7. Lechner, Michael & Strittmatter, Anthony & Knaus, Michael C., 2017. "Heterogeneous Employment Effects of Job Search Programmes: A Machine Learning Approach," CEPR Discussion Papers 12224, C.E.P.R. Discussion Papers.
    8. Joachim Wilde, 2022. "What drives trust of the long‐term unemployed in their caseworkers?," LABOUR, CEIS, vol. 36(2), pages 231-250, June.
    9. Knaus, Michael C. & Lechner, Michael & Strittmatter, Anthony, 2018. "Machine Learning Estimation of Heterogeneous Causal Effects: Empirical Monte Carlo Evidence," IZA Discussion Papers 12039, IZA Network @ LISER.
    10. Farbmacher, Helmut & Huber, Martin & Langen, Henrika & Spindler, Martin, 2020. "Causal mediation analysis with double machine learning," FSES Working Papers 515, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    11. Huber, Martin & Laffers, Lukáš, 2020. "Bounds on direct and indirect effects under treatment/mediator endogeneity and outcome attrition," FSES Working Papers 514, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    12. Schiprowski, Amelie, 2017. "The Role of Caseworkers in Unemployment Insurance: Evidence from Unplanned Absences," IZA Discussion Papers 11040, IZA Network @ LISER.
    13. Martin Huber & Mark Schelker & Anthony Strittmatter, 2019. "Direct and Indirect Effects based on Changes-in-Changes," Papers 1909.04981, arXiv.org, revised Oct 2019.
    14. Steinmayr, Andreas, 2014. "When a random sample is not random: Bounds on the effect of migration on household members left behind," Kiel Working Papers 1975, Kiel Institute for the World Economy.
    15. Frölich, Markus & Huber, Martin & Wiesenfarth, Manuel, 2015. "The Finite Sample Performance of Semi- and Nonparametric Estimators for Treatment Effects and Policy Evaluation," IZA Discussion Papers 8756, IZA Network @ LISER.
    16. Rainer Eppel & Helmut Mahringer & Petra Sauer, 2017. "Österreich 2025 – Arbeitslosigkeit und die Rolle der aktiven Arbeitsmarktpolitik," WIFO Monatsberichte (monthly reports), WIFO, vol. 90(6), pages 493-505, June.
    17. Kyyrä, Tomi & Verho, Jouko Kullervo, 2025. "Do Financial Incentives for Training and Caseworker Meetings Enhance Re-Employment?," IZA Discussion Papers 17881, IZA Network @ LISER.
    18. Vikström, Johan & Söderström, Martin & Cederlöf, Jonas, 2021. "What makes a good caseworker?," Working Paper Series 2021:9, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    19. Prifti, Ervin & Daidone, Silvio & Davis, Benjamin, 2019. "Causal pathways of the productive impacts of cash transfers: Experimental evidence from Lesotho," World Development, Elsevier, vol. 115(C), pages 258-268.
    20. Knaus, Michael C., 2020. "Double Machine Learning Based Program Evaluation under Unconfoundedness," IZA Discussion Papers 13051, IZA Network @ LISER.
    21. Viviana Celli, 2019. "Causal Mediation Analysis in Economics: objectives, assumptions, models," Working Papers 12/19, Sapienza University of Rome, DISS.
    22. Nora Bearth & Michael Lechner & Jana Mareckova & Fabian Muny, 2025. "Fairness-Aware and Interpretable Policy Learning," Papers 2509.12119, arXiv.org.
    23. David G. Lugo‐Palacios & Jonathan M. Clarke & Søren Rud Kristensen, 2023. "Back to basics: A mediation analysis approach to addressing the fundamental questions of integrated care evaluations," Health Economics, John Wiley & Sons, Ltd., vol. 32(9), pages 2080-2097, September.
    24. Martin Huber & Anna Solovyeva, 2020. "On the Sensitivity of Wage Gap Decompositions," Journal of Labor Research, Springer, vol. 41(1), pages 1-33, June.
    25. Halling, Aske & Petersen, Niels Bjørn Grund, 2024. "Frontline Employees’ Responses to Citizens’ Communication of Administrative Burdens," OSF Preprints yqzg4, Center for Open Science.
    26. Viviana Celli, 2022. "Causal mediation analysis in economics: Objectives, assumptions, models," Journal of Economic Surveys, Wiley Blackwell, vol. 36(1), pages 214-234, February.
    27. Michael Lechner & Jana Mareckova, 2022. "Modified Causal Forest," Papers 2209.03744, arXiv.org.
    28. Ulrike Huemer & Rainer Eppel & Marion Kogler & Helmut Mahringer & Lukas Schmoigl & David Pichler, 2021. "Effektivität von Instrumenten der aktiven Arbeitsmarktpolitik in unterschiedlichen Konjunkturphasen," WIFO Studies, WIFO, number 67250.
    29. René Böheim & Rainer Eppel & Helmut Mahringer, 2023. "The impact of lower caseloads in public employment services on the unemployed," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 57(1), pages 1-25, December.
    30. Schütt, Christoph A., 2023. "The effect of perceived similarity and social proximity on the formation of prosocial preferences," Journal of Economic Psychology, Elsevier, vol. 99(C).
    31. Huber, Martin & Mellace, Giovanni & Lechner, Michael, 2014. "The finite sample performance of estimators for mediation analysis under sequential conditional independence," Economics Working Paper Series 1415, University of St. Gallen, School of Economics and Political Science, revised Nov 2014.

  58. Huber, Martin, 2013. "A simple test for the ignorability of non-compliance in experiments," Economics Working Paper Series 1312, University of St. Gallen, School of Economics and Political Science.

    Cited by:

    1. Huber, Martin, 2019. "An introduction to flexible methods for policy evaluation," FSES Working Papers 504, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    2. Dan Black & Joonhwi Joo & Robert LaLonde & Jeffrey Smith & Evan Taylor, 2020. "Simple Tests for Selection: Learning More from Instrumental Variables," Working Papers 2020-048, Human Capital and Economic Opportunity Working Group.
    3. Daniel Herbst, 2025. "Insurance and Asymmetric Information in Wage Contracts: Evidence from an Online Experiment," CESifo Working Paper Series 11946, CESifo.
    4. Huber Martin & Wüthrich Kaspar, 2019. "Local Average and Quantile Treatment Effects Under Endogeneity: A Review," Journal of Econometric Methods, De Gruyter, vol. 8(1), pages 1-27, January.
    5. Tarek Azzam & Michael Bates & David Fairris, 2020. "Do Learning Communities Increase First Year College Retention? Testing Sample Selection and External Validity of Randomized Control Trials," Working Papers 202022, University of California at Riverside, Department of Economics, revised Jul 2020.
    6. Azzam, Tarek & Bates, Michael D. & Fairris, David, 2022. "Do learning communities increase first year college retention? Evidence from a randomized control trial," Economics of Education Review, Elsevier, vol. 89(C).
    7. Amanda E. Kowalski, 2018. "Behavior within a Clinical Trial and Implications for Mammography Guidelines," NBER Working Papers 25049, National Bureau of Economic Research, Inc.
    8. Huber, Martin & Wüthrich, Kaspar, 2017. "Evaluating local average and quantile treatment effects under endogeneity based on instruments: a review," FSES Working Papers 479, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    9. Martin Huber & Jannis Kueck, 2022. "Testing the identification of causal effects in observational data," Papers 2203.15890, arXiv.org, revised Jun 2023.
    10. Nicolas Apfel & Julia Hatamyar & Martin Huber & Jannis Kueck, 2024. "Learning control variables and instruments for causal analysis in observational data," Papers 2407.04448, arXiv.org, revised Sep 2025.
    11. Khalil, Umair & Yıldız, Neşe, 2022. "A test of the selection on observables assumption using a discontinuously distributed covariate," Journal of Econometrics, Elsevier, vol. 226(2), pages 423-450.

  59. Huber, Martin & Lechner, Michael & Wunsch, Conny, 2013. "The effect of firms' partial retirement policies on the labour market outcomes of their employees," Working papers 2013/12, Faculty of Business and Economics - University of Basel.

    Cited by:

    1. Börsch-Supan, Axel & Härtl, Klaus & Leite, Duarte Nuno & Ludwig, Alexander, 2018. "Endogenous Retirement Behavior of Heterogeneous Households Under Pension Reforms," MEA discussion paper series 201804, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
    2. Berg, Peter B. & Hamman, Mary K. & Piszczek, Matthew & Ruhm, Christopher J., 2015. "Can Policy Facilitate Partial Retirement? Evidence from Germany," IZA Discussion Papers 9266, IZA Network @ LISER.
    3. Muriel Dejemeppe & Catherine Smith & Bruno Van der Linden, 2015. "Did the Intergenerational Solidarity Pact increase the employment rate of older workers in Belgium? A macro-econometric evaluation," LIDAM Discussion Papers IRES 2015013, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    4. Börsch-Supan, A. & Härtl, K. & Leite, D.N., 2016. "Social Security and Public Insurance," Handbook of the Economics of Population Aging, in: Piggott, John & Woodland, Alan (ed.), Handbook of the Economics of Population Aging, edition 1, volume 1, chapter 0, pages 781-863, Elsevier.
    5. Carmen Camacho & Fabio Mariani & Luca Pensieroso, 2015. "Illegal Immigration and the Shadow Economy," LIDAM Discussion Papers IRES 2015014, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    6. Axel Börsch-Supan & Klaus Härtl & Duarte N. Leite & Alexander Ludwig, 2023. "Preventing reforming unequally," Journal of Population Economics, Springer;European Society for Population Economics, vol. 36(4), pages 2889-2924, October.
    7. Börsch-Supan, Axel & Härtl, Klaus & Leite, Duarte Nuno, 2017. "Earnings test, non-actuarial adjustments and flexible retirement," MEA discussion paper series 201706, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
    8. Axel Börsch-Supan & Johannes Rausch & Luca Salerno, 2026. "Pension Reforms and Inequality in Germany: Micro-Modelling," NBER Chapters, in: Social Security Programs and Retirement Around the World: The Effects of Pension Reforms on the Income Distribution of Retirees, National Bureau of Economic Research, Inc.
    9. Börsch-Supan, Axel & Bucher-Koenen, Tabea & Kluth, Sebastian & Haupt, Marlene & Goll, Nicolas, 2015. "Vor- und Nachteile höherer Flexibilität als Instrument zur Erhöhung der Beschäftigung Älterer," MEA discussion paper series 201506, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
    10. Songül Tolan, 2015. "Die Flexibilisierung des Rentenübergangs in Deutschland," DIW Roundup: Politik im Fokus 82, DIW Berlin, German Institute for Economic Research.

  60. Huber, Martin, 2012. "Statistical verification of a natural "natural experiment": Tests and sensitivity checks for the sibling sex ratio instrument," Economics Working Paper Series 1219, University of St. Gallen, School of Economics and Political Science.

    Cited by:

    1. Iva Trako, 2018. "Fertility and Parental Labor-Force Participation: New Evidence from a Developing Country in the Balkans," Working Papers halshs-01828471, HAL.
    2. Angelov, Nikolay & Karimi, Arizo, 2012. "Mothers’ income recovery after childbearing," Working Paper Series 2012:20, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    3. Iva Trako, 2018. "Fertility and Parental Labor-Force Participation: New Evidence from a Developing Country in the Balkans," PSE Working Papers halshs-01828471, HAL.
    4. de Chaisemartin, Clement, 2013. "Defying the LATE? Identification of local treatment effects when the instrument violates monotonicity," The Warwick Economics Research Paper Series (TWERPS) 1020, University of Warwick, Department of Economics.

  61. Huber, Martin & Mellace, Giovanni, 2012. "Relaxing monotonicity in the identification of local average treatment effects," Economics Working Paper Series 1212, University of St. Gallen, School of Economics and Political Science.

    Cited by:

    1. Will Dobbie & Jae Song, 2014. "Debt Relief and Debtor Outcomes: Measuring the Effects of Consumer Bankruptcy Protection," NBER Working Papers 20520, National Bureau of Economic Research, Inc.
    2. Clément de Chaisemartin & Xavier d'Haultfoeuille, 2012. "Late Again with Defiers," PSE Working Papers halshs-00699646, HAL.
    3. Fiorini, Mario & Katrien Stevens, 2014. "Assessing the Monotonicity Assumption in IV and fuzzy RD designs," Working Papers 2014-13, University of Sydney, School of Economics.

  62. Huber, Martin, 2012. "Identifying causal mechanisms in experiments (primarily) based on inverse probability weighting," Economics Working Paper Series 1213, University of St. Gallen, School of Economics and Political Science, revised May 2013.

    Cited by:

    1. Frank Nagle, 2019. "Open Source Software and Firm Productivity," Management Science, INFORMS, vol. 65(3), pages 1191-1215, March.
    2. Deuchert, Eva & Huber, Martin, 2014. "A cautionary tale about control variables in IV estimation," FSES Working Papers 453, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    3. Huber, Martin & Mellace, Giovanni & Lechner, Michael, 2014. "Why do tougher caseworkers increase employment? The role of programme assignment as a causal mechanism," Economics Working Paper Series 1414, University of St. Gallen, School of Economics and Political Science.
    4. Frölich, Markus & Huber, Martin, 2014. "Direct and Indirect Treatment Effects: Causal Chains and Mediation Analysis with Instrumental Variables," IZA Discussion Papers 8280, IZA Network @ LISER.
    5. Huber, Martin, 2014. "Causal pitfalls in the decomposition of wage gaps," Economics Working Paper Series 1405, University of St. Gallen, School of Economics and Political Science.
    6. Grenet, Julien & Grönqvist, Hans & Niknami, Susan, 2025. "The effects of electronic monitoring on offenders and their families," Working Paper Series 2025:12, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    7. Chlond, Bettina & Gavard, Claire & Jeuck, Lisa, 2021. "Supporting residential energy conservation under constrained public budget: Cost-effectiveness and redistribution analysis of public financial schemes in France," ZEW Discussion Papers 21-056, ZEW - Leibniz Centre for European Economic Research.
    8. Bettina Chlond & Claire Gavard & Lisa Jeuck, 2023. "How to Support Residential Energy Conservation Cost-Effectively? An analysis of Public Financial Schemes in France," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 85(1), pages 29-63, May.
    9. Mellace, Giovanni & Pasquini, Alessandra, 2019. "Identify More, Observe Less: Mediation Analysis: Mediation Analysis Synthetic Control," Discussion Papers on Economics 12/2019, University of Southern Denmark, Department of Economics.
    10. Hofer, Katharina E., 2015. "Does Female Suffrage Increase Public Support for Government Spending? Evidence from Swiss Ballots," Economics Working Paper Series 1502, University of St. Gallen, School of Economics and Political Science.
    11. Giovanni Mellace & Alessandra Pasquini, 2019. "Identify More, Observe Less: Mediation Analysis Synthetic Control," CEIS Research Paper 474, Tor Vergata University, CEIS, revised 20 Nov 2019.
    12. Huber, Martin & Mellace, Giovanni & Lechner, Michael, 2014. "The finite sample performance of estimators for mediation analysis under sequential conditional independence," Economics Working Paper Series 1415, University of St. Gallen, School of Economics and Political Science, revised Nov 2014.

  63. Huber, Martin & Lechner, Michael & Steinmayr, Andreas, 2012. "Radius matching on the propensity score with bias adjustment: finite sample behaviour, tuning parameters and software implementation," Economics Working Paper Series 1226, University of St. Gallen, School of Economics and Political Science.

    Cited by:

    1. Cabane, Charlotte & Hille, Adrian & Lechner, Michael, 2015. "Mozart or Pelé? The Effects of Teenagers' Participation in Music and Sports," IZA Discussion Papers 8987, IZA Network @ LISER.
    2. Romain Gauriot Author e-mail: romain.gauriot@nyu.edu & Lionel Page Author e-mail: lionel.page@uts.edu.au, 2021. "How Market Prices React to Information: Evidence from Binary Options Markets," Working Papers 20200058, New York University Abu Dhabi, Department of Social Science, revised Oct 2021.
    3. Goller, Daniel & Lechner, Michael & Moczall, Andreas & Wolff, Joachim, 2019. "Does the estimation of the propensity score by machine learning improve matching estimation? The case of Germany’s programmes for long term unemployed," Economics Working Paper Series 1910, University of St. Gallen, School of Economics and Political Science.
    4. Lechner, Michael & Sari, Nazmi, 2014. "Labor market effects of sports and exercise: Evidence from Canadian panel data," Economics Working Paper Series 1402, University of St. Gallen, School of Economics and Political Science.
    5. Marco Caliendo & Stefan Tübbicke, 2020. "New evidence on long-term effects of start-up subsidies: matching estimates and their robustness," Empirical Economics, Springer, vol. 59(4), pages 1605-1631, October.
    6. Pawlowski, Tim & Steckenleiter, Carina & Wallrafen, Tim & Lechner, Michael, 2019. "Individual labor market effects of local public expenditures on sports," Economics Working Paper Series 1906, University of St. Gallen, School of Economics and Political Science.
    7. Pawlowski, Tim & Schüttoff, Ute & Downward, Paul & Lechner, Michael, 2014. "Sport participation and Child Development in Less Developed Countries," Economics Working Paper Series 1433, University of St. Gallen, School of Economics and Political Science.
    8. Judit Krekó & Balázs Munkácsy & Márton Csillag & Ágota Scharle, 2022. "A job trial subsidy for youth:cheap labour or a screening device?," KRTK-KTI WORKING PAPERS 2222, Institute of Economics, Centre for Economic and Regional Studies.
    9. Badruddoza, Syed & Amin, Modhurima Dey, 2023. "Impacts of Teaching Modality on U.S. COVID-19 Spread in Fall 2020 Semester," Applied Economics Teaching Resources (AETR), Agricultural and Applied Economics Association, vol. 5(01), January.
    10. Gerhard Krug, 2017. "Augmenting propensity score equations to avoid misspecification bias – Evidence from a Monte Carlo simulation [Erweiterung der Propensity Score Gleichung zur Vermeidung von Fehlspezifikationen? Eine Monte Carlo Simulation]," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 11(3), pages 205-231, December.
    11. Iqbal, Hamzah & Krumer, Alex, 2017. "Discouragement Effect and Intermediate Prizes in Multi-Stage Contests: Evidence from Tennis’s Davis Cup," Economics Working Paper Series 1719, University of St. Gallen, School of Economics and Political Science.
    12. Schmidl, Ricarda, 2015. "The Effectiveness of Early Vacancy Information in the Presence of Monitoring and ALMP," IZA Discussion Papers 9575, IZA Network @ LISER.
    13. Matteo Ambrois & Annalisa Croce & Elisa Ughetto, 2025. "Greening the future: how venture capital nurtures cleantech companies’ growth in Europe," Small Business Economics, Springer, vol. 65(1), pages 191-229, June.
    14. Bajrami, Egzon, 2024. "Evaluating the agricultural policy in Kosovo: Lessons learnt and the pathway forward," EconStor Theses, ZBW - Leibniz Information Centre for Economics, number 299140.
    15. Delius, Antonia & Sterck, Olivier, 2024. "Cash transfers and micro-enterprise performance: Theory and quasi-experimental evidence from Kenya," Journal of Development Economics, Elsevier, vol. 167(C).
    16. Caliendo, Marco & Künn, Steffen & Weißenberger, Martin, 2016. "Personality Traits and the Evaluation of Start-Up Subsidies," IZA Discussion Papers 9628, IZA Network @ LISER.
    17. Brändle, Tobias & Fervers, Lukas, 2018. "Give it Another Try: What are the Effects of a Job Creation Scheme Especially Designed for Hard-to-Place Workers?," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181536, Verein für Socialpolitik / German Economic Association.
    18. Adrian Hille & Jürgen Schupp, 2013. "How Learning a Musical Instrument Affects the Development of Skills," SOEPpapers on Multidisciplinary Panel Data Research 591, DIW Berlin, The German Socio-Economic Panel (SOEP).
    19. Felix Ehrenfried & Christian Holzner, 2018. "Dynamics and Endogeneity of Firms' Recruitment Behaviour," CESifo Working Paper Series 7283, CESifo.
    20. Cannas, Massimo & Puggioni, Gavino, 2017. "On the support of matching algorithms," Statistics & Probability Letters, Elsevier, vol. 131(C), pages 72-77.
    21. Muñoz-Morales, Juan & Singh, Ruchi, 2023. "Do school shootings erode property values?," Regional Science and Urban Economics, Elsevier, vol. 98(C).
    22. Marc Höglinger & Brigitte Wirth & Maria Carlander & Cornelia Caviglia & Christian Frei & Birgitta Rhomberg & Adrian Rohrbasser & Maria Trottmann & Klaus Eichler, 2023. "Impact of a diabetes disease management program on guideline-adherent care, hospitalization risk and health care costs: a propensity score matching study using real-world data," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 24(3), pages 469-478, April.
    23. Kenza Benhima & Omar Chafik & Min Fang & Wenxia Tang, 2022. "Short-term Finance, Long-term Effects: Theory and Evidence from Morocco," Working Papers 002003, University of Florida, Department of Economics.
    24. Chong, Terence Tai Leung & Zeng, Hanrui, 2018. "Does studying in Hong Kong affect the ideological preferences of Chinese mainland undergraduates?," MPRA Paper 92038, University Library of Munich, Germany.
    25. Estifanos, Tafesse Kefyalew & Polyakov, Maksym & Pandit, Ram & Hailu, Atakelty & Burton, Michael, 2020. "The impact of protected areas on the rural households’ incomes in Ethiopia," Land Use Policy, Elsevier, vol. 91(C).
    26. Knaus, Michael C. & Otterbach, Steffen, 2016. "Work Hour Mismatch and Job Mobility: Adjustment Channels and Resolution Rates," IZA Discussion Papers 9735, IZA Network @ LISER.
    27. Pawlowski, Tim & Schüttoff, Ute & Downward, Paul & Lechner, Michael, 2014. "Children’s skill formation in less developed countries – The impact of sports participation," Economics Working Paper Series 1412, University of St. Gallen, School of Economics and Political Science.
    28. Cohen-Zada, Danny & Krumer, Alex & Shapir, Offer Moshe, 2018. "Testing the effect of serve order in tennis tiebreak," Journal of Economic Behavior & Organization, Elsevier, vol. 146(C), pages 106-115.
    29. Michael Zimmert, 2018. "The Finite Sample Performance of Treatment Effects Estimators based on the Lasso," Papers 1805.05067, arXiv.org.
    30. Ondřej Dvouletý & Ivana Blažková, 2019. "The Impact of Public Grants on Firm-Level Productivity: Findings from the Czech Food Industry," Sustainability, MDPI, vol. 11(2), pages 1-24, January.
    31. Deidda, Manuela & Di Liberto, Adriana & Foddi, Marta & Sulis, Giovanni, 2015. "Employment Subsidies, Informal Economy and Women's Transition into Work in a Depressed Area: Evidence from a Matching Approach," IZA Discussion Papers 8886, IZA Network @ LISER.
    32. Stefan Tübbicke, 2023. "How sensitive are matching estimates of active labor market policy effects to typically unobserved confounders?," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 57(1), pages 1-16, December.
    33. Michael Lechner & Paul Downward, 2013. "Heterogeneous Sports Participation and Labour Market Outcomes in England," CESifo Working Paper Series 4434, CESifo.
    34. Marco Caliendo & Stefan Tübbicke, 2019. "Do Start-Up Subsidies for the Unemployed Affect Participants’ Well-Being? A Rigorous Look at (Un-)Intended Consequences of Labor Market Policies," CEPA Discussion Papers 14, Center for Economic Policy Analysis.
    35. Bellmann, Lutz & Caliendo, Marco & Tübbicke, Stefan, 2017. "The Post-Reform Effectiveness of the New German Start-Up Subsidy for the Unemployed," IZA Discussion Papers 11055, IZA Network @ LISER.
    36. Hübler, Olaf, 2019. "The Role of Body Weight for Health, Earnings and Life Satisfaction," IZA Discussion Papers 12078, IZA Network @ LISER.
    37. Lukas Fervers, 2016. "Fast track to the labour market or highway to hell? The effect of activation policies on quantity and quality of labour market integration," IAW Discussion Papers 125, Institut für Angewandte Wirtschaftsforschung (IAW).
    38. Goller, Daniel & Krumer, Alex, 2020. "Let's meet as usual: Do games played on non-frequent days differ? Evidence from top European soccer leagues," European Journal of Operational Research, Elsevier, vol. 286(2), pages 740-754.
    39. Kantha Dayaram & Alistair McGuire, 2019. "Retirement Reforms: Occupational Strain and Health," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 58(3), pages 522-542, July.
    40. Hagen, Tobias, 2016. "Econometric Evaluation of a Placement Coaching Program for Recipients of Disability Insurance Benefits in Switzerland," VfS Annual Conference 2016 (Augsburg): Demographic Change 145736, Verein für Socialpolitik / German Economic Association.
    41. Frölich, Markus & Huber, Martin & Wiesenfarth, Manuel, 2015. "The Finite Sample Performance of Semi- and Nonparametric Estimators for Treatment Effects and Policy Evaluation," IZA Discussion Papers 8756, IZA Network @ LISER.
    42. Wang, Jia & Straubhaar, Rolf & Leon, Seth & Kikoler, David & Rosales, Elaine, 2025. "A quasi-experimental approach to evaluating magnet schools," Evaluation and Program Planning, Elsevier, vol. 112(C).
    43. Doerr, Annabelle, 2017. "Back to work: The Long-term Effects of Vocational Training for Female Job Returners," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168213, Verein für Socialpolitik / German Economic Association.
    44. Reinhard Uehleke & Heidi Leonhardt & Silke Hüttel, 2024. "Counterfactual evaluation of two Austrian agri‐environmental schemes in 2014–2018," Agricultural Economics, International Association of Agricultural Economists, vol. 55(1), pages 27-40, January.
    45. Felfe, Christina & Lechner, Michael & Steinmayr, Andreas, 2016. "Sports and Child Development," Munich Reprints in Economics 37862, University of Munich, Department of Economics.
    46. Hübler Olaf, 2020. "The Gender-specific Role of Body Weight for Health, Earnings and Life Satisfaction in Piecewise and Simultaneous Equations Models," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 240(5), pages 653-676, October.
    47. Tobias Brändle & Lukas Fervers, 2017. "Give it Another Try: What are the Effects of a Public Employment Scheme Especially Designed for Hard-to-Place Workers?," IAW Discussion Papers 129, Institut für Angewandte Wirtschaftsforschung (IAW).
    48. Gorman, Emma & Walker, Ian, 2020. "Heterogeneous Effects of Missing out on a Place at a Preferred Secondary School in England," IZA Discussion Papers 13167, IZA Network @ LISER.
    49. Lechner, Michael & Hille, Adrian & Cabane, Charlotte, 2015. "Mozart or Pelé? The effects of teenagers? participation in music and sports," CEPR Discussion Papers 10556, C.E.P.R. Discussion Papers.
    50. Zeno Enders & Franziska Hünnekes & Gernot Müller, 2019. "Firm expectations and economic activity," CESifo Working Paper Series 7623, CESifo.
    51. Daniel Arnold & Tobias Brändle & Laszlo Goerke, 2018. "Sickness Absence and Works Councils: Evidence from German Individual and Linked Employer–Employee Data," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 57(2), pages 260-295, April.
    52. Tim Pawlowski & Ute Schüttoff & Paul Downward & Michael Lechner, 2018. "Can Sport Really Help to Meet the Millennium Development Goals? Evidence From Children in Peru," Journal of Sports Economics, , vol. 19(4), pages 498-521, May.
    53. Maoguo Wu & Zhengyang Yu & Yuhan Mao & Ziqi Zhai & Ruohan Liu & Yuwei Wang, 2025. "Stock market liberalization and corporate risk-taking: evidence from Mainland China–Hong Kong Stock Connect," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 15(1), pages 273-301, March.
    54. Uehleke, Reinhard & Petrick, Martin & Hüttel, Silke, 2022. "Evaluations of agri-environmental schemes based on observational farm data: The importance of covariate selection," Land Use Policy, Elsevier, vol. 114(C).
    55. Adrian Hille, 2015. "How a Universal Music Education Program Affects Time Use, Behavior, and School Attitude," SOEPpapers on Multidisciplinary Panel Data Research 810, DIW Berlin, The German Socio-Economic Panel (SOEP).
    56. Hagen, Tobias, 2016. "Econometric evaluation of a placement coaching program for recipients of disability insurance benefits in Switzerland," Working Paper Series 10, Frankfurt University of Applied Sciences, Faculty of Business and Law.
    57. Bodory, Hugo & Camponovo, Lorenzo & Huber, Martin & Lechner, Michael, 2016. "The Finite Sample Performance of Inference Methods for Propensity Score Matching and Weighting Estimators," IZA Discussion Papers 9706, IZA Network @ LISER.
    58. Farid Gasmi & Dorgyles C. M. Kouakou & Maruf Sanni, 2025. "Firms' sustainable and responsible innovation in Nigeria: Does informality play a role?," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 33(1), pages 139-164, January.
    59. Julien, Jacques C. & Bravo-Ureta, Boris E. & Rada, Nicholas E., 2023. "Gender and agricultural Productivity: Econometric evidence from Malawi, Tanzania, and Uganda," World Development, Elsevier, vol. 171(C).
    60. Seonho Shin, 2022. "Evaluating the Effect of the Matching Grant Program for Refugees: An Observational Study Using Matching, Weighting, and the Mantel-Haenszel Test," Journal of Labor Research, Springer, vol. 43(1), pages 103-133, March.
    61. Gasmi, Farid & Kouakou, Dorgyles & Sanni, Maruf, 2022. "The effect of firm informality on sustainable and responsible innovation in developing countries: Evidence from Nigeria," TSE Working Papers 22-1368, Toulouse School of Economics (TSE).
    62. Goller, Daniel & Krumer, Alex, 2019. "Let’s meet as usual: Do games on non-frequent days differ? Evidence from top European soccer leagues," Economics Working Paper Series 1907, University of St. Gallen, School of Economics and Political Science.
    63. Denisova-Schmidt, Elena & Huber, Martin, 2014. "Regional Differences in Perceived Corruption among Ukrainian Firms," Economics Working Paper Series 1407, University of St. Gallen, School of Economics and Political Science.
    64. Inha Oh & Dongnyok Shim, 2020. "IT Adoption and Sustainable Growth of Firms in Different Industries—Are the Benefits Still Expected?," Sustainability, MDPI, vol. 12(22), pages 1-29, November.
    65. Kongstad, L.P. & Mellace, G. & Olsen, K.R., 2016. "Can the use of Electronic Health Records in General Practice reduce hospitalizations for diabetes patients? Evidence from a natural experiment," Health, Econometrics and Data Group (HEDG) Working Papers 16/25, HEDG, c/o Department of Economics, University of York.
    66. Lechner, Michael & Strittmatter, Anthony, 2014. "Practical Procedures to Deal with Common Support Problems in Matching Estimation," Economics Working Paper Series 1410, University of St. Gallen, School of Economics and Political Science.
    67. Iqbal, Hamzah & Krumer, Alex, 2019. "Discouragement effect and intermediate prizes in multi-stage contests: Evidence from Davis Cup," European Economic Review, Elsevier, vol. 118(C), pages 364-381.
    68. Dvouletý Ondřej & Čadil Jan & Mirošník Karel, 2019. "Do Firms Supported by Credit Guarantee Schemes Report Better Financial Results 2 Years After the End of Intervention?," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 19(1), pages 1-20, January.
    69. Christian Hopp & Francis J. Greene & Benson Honig & Tomas Karlsson & Mikael Samuelsson, 2018. "Revisiting the influence of institutional forces on the written business plan: a replication study," Management Review Quarterly, Springer, vol. 68(4), pages 361-398, November.
    70. Cohen-Zada, Danny & Krumer, Alex & Shapir, Offer Moshe, 2017. "Take a Chance on ABBA," IZA Discussion Papers 10878, IZA Network @ LISER.

  64. Huber, Martin & Melly, Blaise, 2011. "Quantile Regression in the Presence of Sample Selection," Economics Working Paper Series 1109, University of St. Gallen, School of Economics and Political Science.

    Cited by:

    1. Schwiebert, Jörg, 2012. "Semiparametric Estimation of a Sample Selection Model in the Presence of Endogeneity," Hannover Economic Papers (HEP) dp-504, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    2. Huber, Martin & Mellace, Giovanni, 2011. "Sharp bounds on causal effects under sample selection," Economics Working Paper Series 1134, University of St. Gallen, School of Economics and Political Science.
    3. Philippe Van Kerm & Seunghee Yu & Chung Choe, 2016. "Decomposing quantile wage gaps: a conditional likelihood approach," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 65(4), pages 507-527, August.
    4. Ekaterina Selezneva & Philippe Van Kerm, 2013. "Inequality-adjusted gender wage differentials in Germany," Working Papers 334, Leibniz Institut für Ost- und Südosteuropaforschung (Leibniz Institute for East and Southeast European Studies).
    5. Olivier Bargain & Prudence Kwenda, 2013. "The Informal Sector Wage Gap: New Evidence using Quantile Estimations on Panel Data," AMSE Working Papers 1360, Aix-Marseille School of Economics, France, revised Jun 2013.
    6. Stefan Hoderlein & Bettina Siflinger & Joachim Winter, 2015. "Identification of structural models in the presence of measurement error due to rounding in survey responses," Boston College Working Papers in Economics 869, Boston College Department of Economics.
    7. Christofides, Louis N. & Polycarpou, Alexandros & Vrachimis, Konstantinos, 2013. "Gender wage gaps, ‘sticky floors’ and ‘glass ceilings’ in Europe," Labour Economics, Elsevier, vol. 21(C), pages 86-102.
    8. Aysit Tansel & Halil Ibrahim Keskin & Abidin Ozdemir, 2018. "Public versus Private Sector Wage Gap in Egypt: Evidence from Quantile Regression on Panel Data," Koç University-TUSIAD Economic Research Forum Working Papers 1814, Koc University-TUSIAD Economic Research Forum.
    9. Philippe Van Kerm, 2013. "Generalized measures of wage differentials," Empirical Economics, Springer, vol. 45(1), pages 465-482, August.
    10. Christopoulou, Rebekka & Monastiriotis, Vassilis, 2016. "Public-private wage duality during the Greek crisis," LSE Research Online Documents on Economics 62743, London School of Economics and Political Science, LSE Library.
    11. DOORLEY Karina & SIERMINSKA Eva, 2011. "Beauty and the beast in the labor market: Evidence from a distribution regression approach," LISER Working Paper Series 2011-62, Luxembourg Institute of Socio-Economic Research (LISER).
    12. Ekaterina Selezneva & Philippe Van Kerm, 2016. "A distribution-sensitive examination of the gender wage gap in Germany," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 14(1), pages 21-40, March.
    13. Bargain, Olivier B. & Doorley, Karina & Van Kerm, Philippe, 2018. "Minimum Wages and the Gender Gap in Pay: New Evidence from the UK and Ireland," IZA Discussion Papers 11502, IZA Network @ LISER.
    14. Zheng Fang & Chris Sakellariou, 2015. "Glass Ceilings versus Sticky Floors: Evidence from Southeast Asia and an International Update," Asian Economic Journal, East Asian Economic Association, vol. 29(3), pages 215-242, September.
    15. Rebekka Christopoulou & Vassilis Monastiriotis, 2014. "The Greek Public Sector Wage Premium before the Crisis: Size, Selection and Relative Valuation of Characteristics," British Journal of Industrial Relations, London School of Economics, vol. 52(3), pages 579-602, September.

  65. Huber, Martin & Mellace, Giovanni, 2011. "Sharp bounds on causal effects under sample selection," Economics Working Paper Series 1134, University of St. Gallen, School of Economics and Political Science.

    Cited by:

    1. Possebom, Vitor, 2018. "Sharp bounds on the MTE with sample selection," MPRA Paper 89785, University Library of Munich, Germany.
    2. Martin Huber & Giovanni Mellace, 2010. "Sharp IV bounds on average treatment effects under endogeneity and noncompliance," University of St. Gallen Department of Economics working paper series 2010 2010-31, Department of Economics, University of St. Gallen.
    3. Daniel Brüggmann, 2020. "Women’s employment, income and divorce in West Germany: a causal approach," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 54(1), pages 1-22, December.
    4. Huber, Martin & Melly, Blaise, 2011. "Quantile Regression in the Presence of Sample Selection," Economics Working Paper Series 1109, University of St. Gallen, School of Economics and Political Science.
    5. Xiaolin Sun & Xueyan Zhao & D. S. Poskitt, 2024. "Partially Identified Heterogeneous Treatment Effect with Selection: An Application to Gender Gaps," Papers 2410.01159, arXiv.org, revised Oct 2024.
    6. Phillip Heiler, 2022. "Heterogeneous Treatment Effect Bounds under Sample Selection with an Application to the Effects of Social Media on Political Polarization," Papers 2209.04329, arXiv.org, revised Jul 2024.
    7. Bartalotti, Otávio & Kédagni, Désiré & Possebom, Vitor, 2023. "Identifying marginal treatment effects in the presence of sample selection," Journal of Econometrics, Elsevier, vol. 234(2), pages 565-584.
    8. Blanco, German & Chen, Xuan & Flores, Carlos A. & Flores-Lagunes, Alfonso, 2018. "Bounds on Average and Quantile Treatment Effects on Duration Outcomes under Censoring, Selection, and Noncompliance," GLO Discussion Paper Series 288, Global Labor Organization (GLO).
    9. Phillip Heiler & Asbj{o}rn Kaufmann & Bezirgen Veliyev, 2024. "Treatment Evaluation at the Intensive and Extensive Margins," Papers 2412.11179, arXiv.org.
    10. Kitagawa, Toru, 2021. "The identification region of the potential outcome distributions under instrument independence," Journal of Econometrics, Elsevier, vol. 225(2), pages 231-253.
    11. Lutz Depenbusch & Pepijn Schreinemachers & Stuart Brown & Ralph Roothaert, 2022. "Impact and distributional effects of a home garden and nutrition intervention in Cambodia," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 14(4), pages 865-881, August.

  66. Huber, Martin & Mellace, Giovanni, 2011. "Testing instrument validity for LATE identification based on inequality moment constraints," Economics Working Paper Series 1143, University of St. Gallen, School of Economics and Political Science.

    Cited by:

    1. Thomas Carr & Toru Kitagawa, 2021. "Testing Instrument Validity with Covariates," Papers 2112.08092, arXiv.org, revised Sep 2023.
    2. Huber, Martin, 2019. "An introduction to flexible methods for policy evaluation," FSES Working Papers 504, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    3. Patrick Kline & Christopher R. Walters, 2017. "On Heckits, LATE, and Numerical Equivalence," Papers 1706.05982, arXiv.org, revised Oct 2018.
    4. Santiago Acerenza & Otávio Bartalotti & Désiré Kédagni, 2023. "Testing identifying assumptions in bivariate probit models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(3), pages 407-422, April.
    5. Nadja van 't Hoff, 2023. "Identifying Causal Effects of Discrete, Ordered and ContinuousTreatments using Multiple Instrumental Variables," Papers 2311.17575, arXiv.org, revised Oct 2024.
    6. Johann Caro-Burnett, 2026. "Toggling the Defiers to Relax Monotonicity: The Difference-in-Instrumental-Variables Estimand," Papers 2602.12504, arXiv.org.
    7. Blaise Melly und Kaspar W thrich, 2016. "Local quantile treatment effects," Diskussionsschriften dp1605, Universitaet Bern, Departement Volkswirtschaft.
    8. Bolzern, Benjamin & Huber, Martin, 2017. "Testing the validity of the compulsory schooling law instrument," Economics Letters, Elsevier, vol. 159(C), pages 23-27.
    9. Dan Black & Joonhwi Joo & Robert LaLonde & Jeffrey Smith & Evan Taylor, 2020. "Simple Tests for Selection: Learning More from Instrumental Variables," Working Papers 2020-048, Human Capital and Economic Opportunity Working Group.
    10. Mourifié, Ismael & Wan, Yuanyuan, 2025. "Layered policy analysis in program evaluation using the marginal treatment effect," Journal of Econometrics, Elsevier, vol. 251(C).
    11. Eduardo Fé, 2021. "Pension eligibility rules and the local causal effect of retirement on cognitive functioning," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(3), pages 812-841, July.
    12. Carmen Aina & Daniela Sonedda, 2022. "Sooner or later? The impact of child education on household consumption," Empirical Economics, Springer, vol. 63(4), pages 2071-2099, October.
    13. Hans Fricke & Markus Frölich & Martin Huber & Michael Lechner, 2020. "Endogeneity and non‐response bias in treatment evaluation – nonparametric identification of causal effects by instruments," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(5), pages 481-504, August.
    14. Sarnetzki, Florian & Dzemski, Andreas, 2014. "Overidentification test in a nonparametric treatment model with unobserved heterogeneity," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100620, Verein für Socialpolitik / German Economic Association.
    15. Yu-Chin Hsu & Ji-Liang Shiu & Yuanyuan Wan, 2023. "Testing Identification Conditions of LATE in Fuzzy Regression Discontinuity Designs," Working Papers tecipa-761, University of Toronto, Department of Economics.
    16. Wang, Xintong & Flores-Lagunes, Alfonso, 2020. "Conscription and Military Service: Do They Result in Future Violent and Non-Violent Incarcerations and Recidivism?," IZA Discussion Papers 14003, IZA Network @ LISER.
    17. Hongyi Jiang & Zhenting Sun, 2023. "Testing Partial Instrument Monotonicity," Papers 2308.08390, arXiv.org, revised Aug 2023.
    18. Tymon S{l}oczy'nski & S. Derya Uysal & Jeffrey M. Wooldridge, 2022. "Abadie's Kappa and Weighting Estimators of the Local Average Treatment Effect," Papers 2204.07672, arXiv.org, revised Feb 2024.
    19. Rui Wang, 2023. "Point Identification of LATE with Two Imperfect Instruments," Papers 2303.13795, arXiv.org.
    20. Mario Fiorini & Katrien Stevens, 2021. "Scrutinizing the Monotonicity Assumption in IV and fuzzy RD designs," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(6), pages 1475-1526, December.
    21. Kedagni, Desire, 2021. "Identifying treatment effects in the presence of confounded types," ISU General Staff Papers 202106050700001056, Iowa State University, Department of Economics.
    22. Julia Schmieder, 2020. "Fertility as a Driver of Maternal Employment," Discussion Papers of DIW Berlin 1882, DIW Berlin, German Institute for Economic Research.
    23. Jan Priebe, 2020. "Quasi-experimental evidence for the causal link between fertility and subjective well-being," Journal of Population Economics, Springer;European Society for Population Economics, vol. 33(3), pages 839-882, July.
    24. Frölich, Markus & Huber, Martin, 2014. "Treatment Evaluation with Multiple Outcome Periods under Endogeneity and Attrition," IZA Discussion Papers 7972, IZA Network @ LISER.
    25. Dahl, Christian M. & Huber, Martin & Mellace, Giovanni, 2017. "It's never too LATE: A new look at local average treatment effects with or without defiers," Discussion Papers on Economics 2/2017, University of Southern Denmark, Department of Economics.
    26. Huber Martin & Wüthrich Kaspar, 2019. "Local Average and Quantile Treatment Effects Under Endogeneity: A Review," Journal of Econometric Methods, De Gruyter, vol. 8(1), pages 1-27, January.
    27. María Angelica Bautista & Felipe González & Luis R. Martínez & Pablo Muñoz & Mounu Prem, 2018. "The Geography of Repression and Support for Democracy: Evidence from the Pinochet Dictatorship," Working papers 5, Red Investigadores de Economía.
    28. Huber, Martin & Mellace, Giovanni, 2011. "Testing instrument validity in sample selection models," Economics Working Paper Series 1145, University of St. Gallen, School of Economics and Political Science.
    29. Jiang, Hongyi & Sun, Zhenting, 2023. "Testing partial instrument monotonicity," Economics Letters, Elsevier, vol. 233(C).
    30. Joshua D. Angrist, 2022. "Empirical Strategies in Economics: Illuminating the Path From Cause to Effect," Econometrica, Econometric Society, vol. 90(6), pages 2509-2539, November.
    31. Zhenting Sun & Kaspar Wuthrich, 2022. "Pairwise Valid Instruments," Papers 2203.08050, arXiv.org, revised Feb 2025.
    32. Patrick Kline & Christopher Walters, 2015. "Evaluating Public Programs with Close Substitutes: The Case of Head Start," NBER Working Papers 21658, National Bureau of Economic Research, Inc.
    33. G. Brunello & M. Fort & G. Weber & C. T. Weiss, 2013. "Testing the Internal Validity of Compulsory School Reforms as Instrument for Years of Schooling," Working Papers wp911, Dipartimento Scienze Economiche, Universita' di Bologna.
    34. Ismael Mourifie & Yuanyuan Wan, 2014. "Testing Local Average Treatment Effect Assumptions," Working Papers tecipa-514, University of Toronto, Department of Economics.
    35. Joeri Smits & Jeffrey S. Racine, 2013. "Testing Exclusion Restrictions in Nonseparable Triangular Models," Department of Economics Working Papers 2013-02, McMaster University.
    36. Markus Frölich & Martin Huber, 2017. "Direct and indirect treatment effects–causal chains and mediation analysis with instrumental variables," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 79(5), pages 1645-1666, November.
    37. Martin Huber & Giovanni Mellace, 2014. "Testing exclusion restrictions and additive separability in sample selection models," Empirical Economics, Springer, vol. 47(1), pages 75-92, August.
    38. Salm, Martin & Siflinger, Bettina & Xie, Mingjia, 2021. "The Effect of Retirement on Mental Health: Indirect Treatment Effects and Causal Mediation," Other publications TiSEM e28efa7f-8219-437c-a26d-2, Tilburg University, School of Economics and Management.
    39. Christina Felfe & Martin Huber, 2017. "Does preschool boost the development of minority children?: the case of Roma children," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 180(2), pages 475-502, February.
    40. Toru Kitagawa, 2013. "A bootstrap test for instrument validity in heterogeneous treatment effect models," CeMMAP working papers CWP53/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    41. Bjerk, David J., 2025. "Understanding IV Versus OLS Estimates of Treatment Effects and the Coefficient Difference Check," IZA Discussion Papers 18274, IZA Network @ LISER.
    42. Huber, Martin & Wüthrich, Kaspar, 2017. "Evaluating local average and quantile treatment effects under endogeneity based on instruments: a review," FSES Working Papers 479, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    43. Magne Mogstad & Andres Santos & Alexander Torgovitsky, 2017. "Using Instrumental Variables for Inference about Policy Relevant Treatment Effects," NBER Working Papers 23568, National Bureau of Economic Research, Inc.
    44. Lukas Laffers & Giovanni Mellace, 2017. "A note on testing instrument validity for the identification of LATE," Empirical Economics, Springer, vol. 53(3), pages 1281-1286, November.
    45. Dionissi Aliprantis & Francisca G.-C. Richter, 2020. "Evidence of Neighborhood Effects from Moving to Opportunity: Lates of Neighborhood Quality," The Review of Economics and Statistics, MIT Press, vol. 102(4), pages 633-647, October.
    46. Sun, Zhenting, 2023. "Instrument validity for heterogeneous causal effects," Journal of Econometrics, Elsevier, vol. 237(2).
    47. Linbo Wang & James M. Robins & Thomas S. Richardson, 2017. "On falsification of the binary instrumental variable model," Biometrika, Biometrika Trust, vol. 104(1), pages 229-236.
    48. Darío Tortarolo, 2014. "Female Labor Supply and Fertility. Causal Evidence for Latin America," CEDLAS, Working Papers 0166, CEDLAS, Universidad Nacional de La Plata.
    49. James Bisbee & Rajeev Dehejia & Cristian Pop-Eleches & Cyrus Samii, 2015. "Local Instruments, Global Extrapolation: External Validity of the Labor Supply-Fertility Local Average Treatment Effect," NBER Working Papers 21663, National Bureau of Economic Research, Inc.
    50. M. Azhar Hussain & Nikolaj Siersbæk & Lars Peter Østerdal, 2020. "Multidimensional welfare comparisons of EU member states before, during, and after the financial crisis: a dominance approach," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 55(4), pages 645-686, December.
    51. Mohamed Coulibaly & Yu-Chin Hsu & Ismael Mourifie & Yuanyuan Wan, 2024. "A Sharp Test for the Judge Leniency Design," Working Papers tecipa-774, University of Toronto, Department of Economics.
    52. Kitagawa, Toru, 2021. "The identification region of the potential outcome distributions under instrument independence," Journal of Econometrics, Elsevier, vol. 225(2), pages 231-253.
    53. Machado, Cecilia & Shaikh, Azeem M. & Vytlacil, Edward J., 2019. "Instrumental variables and the sign of the average treatment effect," Journal of Econometrics, Elsevier, vol. 212(2), pages 522-555.
    54. Evan K. Rose & Yotam Shem-Tov, 2021. "On Recoding Ordered Treatments as Binary Indicators," Papers 2111.12258, arXiv.org, revised Mar 2024.
    55. Hofmarcher, Thomas, 2021. "The effect of education on poverty: A European perspective," Economics of Education Review, Elsevier, vol. 83(C).
    56. Brigham R. Frandsen & Lars J. Lefgren & Emily C. Leslie, 2019. "Judging Judge Fixed Effects," NBER Working Papers 25528, National Bureau of Economic Research, Inc.
    57. Ricardo E. Miranda, 2026. "On the falsification of instrumental variable models for heterogeneous treatment effects," Papers 2601.14464, arXiv.org.
    58. Sun, Zhenting & Wüthrich, Kaspar, 2025. "Pairwise valid instruments," Journal of Econometrics, Elsevier, vol. 250(C).
    59. Stefan Tübbicke, 2023. "When to use matching and weighting or regression in instrumental variable estimation? Evidence from college proximity and returns to college," Empirical Economics, Springer, vol. 65(6), pages 2979-2999, December.
    60. Yinchu Zhu, 2021. "Phase transition of the monotonicity assumption in learning local average treatment effects," Papers 2103.13369, arXiv.org.
    61. Guber, Raphael, 2018. "Instrument Validity Tests with Causal Trees: With an Application to the Same-sex Instrument," MEA discussion paper series 201805, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
    62. Francis DiTraglia & Camilo García-Jimeno, 2016. "A Framework for Eliciting, Incorporating, and Disciplining Identification Beliefs in Linear Models," NBER Working Papers 22621, National Bureau of Economic Research, Inc.
    63. Carolina Castagnetti & Luisa Rosti & Marina Töpfer, 2020. "Discriminate me — If you can! The disappearance of the gender pay gap among public‐contest selected employees in Italy," Gender, Work and Organization, Wiley Blackwell, vol. 27(6), pages 1040-1076, November.
    64. Eckhoff Andresen, Martin & Huber, Martin, 2018. "Instrument-based estimation with binarized treatments: Issues and tests for the exclusion restriction," FSES Working Papers 492, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    65. Claudia Noack, 2021. "Sensitivity of LATE Estimates to Violations of the Monotonicity Assumption," Papers 2106.06421, arXiv.org.
    66. Öberg, Stefan, 2021. "The casual effect of fertility: The multiple problems with instrumental variables for the number of children in families," SocArXiv peuvz, Center for Open Science.

  67. Bernhard Boockmann & Stephan L. Thomsen & Thomas Walter & Christian Göbel & Martin Huber, 2010. "Should Welfare Administration be Centralized or Decentralized? Evidence from a Policy Experiment," IAW Discussion Papers 69, Institut für Angewandte Wirtschaftsforschung (IAW).

    Cited by:

    1. Jeremias Nieminen & Ohto Kanninen & Hannu Karhunen, 2023. "The decentralization of public employment services and local governments’ responses to incentives," Journal of Economic Geography, Oxford University Press, vol. 23(6), pages 1371-1395.
    2. Regina T. Riphahn & Christoph Wunder, 2015. "State Dependence in Welfare Receipt: Transitions before and after a Reform," SOEPpapers on Multidisciplinary Panel Data Research 758, DIW Berlin, The German Socio-Economic Panel (SOEP).
    3. Christian Holzner & Sonja Munz, 2011. "Should Local Public Employment Services be Merged with the Local Social Benefit Administrations?," CESifo Working Paper Series 3472, CESifo.
    4. Mergele, Lukas & Weber, Michael, 2020. "Public employment services under decentralization: Evidence from a natural experiment," Journal of Public Economics, Elsevier, vol. 182(C).
    5. Ohto Kanninen & Hannu Karhunen & Jeremias Nieminen, 2023. "Effect of Secondary Education on Cognitive and Non-cognitive Skills," Working Papers 337, Työn ja talouden tutkimus LABORE, The Labour Institute for Economic Research LABORE.
    6. Wolfgang Nagl & Michael Weber, 2016. "Stuck in a trap? Long-term unemployment under two-tier unemployment compensation schemes," ifo Working Paper Series 231, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    7. Oliver Falck & Siegfried Schönherr, 2016. "An Economic Reform Agenda for Croatia: a comprehensive economic reform package prepared for the Croatian Statehood Foundation," ifo Forschungsberichte, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 70.
    8. Lukas Mergele & Michael Weber & Michael Weber, 2020. "Jobcenter: Optionskommunen vermitteln Arbeitslose seltener in Beschäftigung," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 73(02), pages 39-44, February.
    9. Ohto Kanninen & Hannu Karhunen & Jeremias Nieminen, 2021. "Behavior and Effectiveness of Decentralized Employment Offices," Working Papers 332, Työn ja talouden tutkimus LABORE, The Labour Institute for Economic Research LABORE.
    10. Michael Weber, 2016. "The short-run and long-run effects of decentralizing public employment services," ifo Working Paper Series 209, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.

  68. Martin Huber, 2010. "Identification of average treatment effects in social experiments under different forms of attrition," University of St. Gallen Department of Economics working paper series 2010 2010-22, Department of Economics, University of St. Gallen.

    Cited by:

    1. Huber, Martin & Mellace, Giovanni, 2011. "Sharp bounds on causal effects under sample selection," Economics Working Paper Series 1134, University of St. Gallen, School of Economics and Political Science.
    2. Huber, Martin, 2012. "Identifying causal mechanisms in experiments (primarily) based on inverse probability weighting," Economics Working Paper Series 1213, University of St. Gallen, School of Economics and Political Science, revised May 2013.
    3. Huber, Martin & Lechner, Michael & Steinmayr, Andreas, 2012. "Radius matching on the propensity score with bias adjustment: finite sample behaviour, tuning parameters and software implementation," Economics Working Paper Series 1226, University of St. Gallen, School of Economics and Political Science.
    4. Barbara Sianesi, 2013. "Dealing with randomisation bias in a social experiment exploiting the randomisation itself: the case of ERA," IFS Working Papers W13/15, Institute for Fiscal Studies.

  69. Martin Huber & Giovanni Mellace, 2010. "Sharp IV bounds on average treatment effects under endogeneity and noncompliance," University of St. Gallen Department of Economics working paper series 2010 2010-31, Department of Economics, University of St. Gallen.

    Cited by:

    1. Laffers, Lukas & Mellace, Giovanni, 2015. "A Note on Testing the LATE Assumptions," Discussion Papers on Economics 4/2015, University of Southern Denmark, Department of Economics.
    2. Huber, Martin & Mellace, Giovanni, 2012. "Relaxing monotonicity in the identification of local average treatment effects," Economics Working Paper Series 1212, University of St. Gallen, School of Economics and Political Science.
    3. Murard, Elie, 2019. "The Impact of Migration on Family Left Behind: Estimation in Presence of Intra-Household Selection of Migrants," IZA Discussion Papers 12094, IZA Network @ LISER.
    4. Steinmayr, Andreas, 2014. "When a random sample is not random: Bounds on the effect of migration on household members left behind," Kiel Working Papers 1975, Kiel Institute for the World Economy.
    5. Amanda E. Kowalski, 2016. "Doing More When You're Running LATE: Applying Marginal Treatment Effect Methods to Examine Treatment Effect Heterogeneity in Experiments," NBER Working Papers 22363, National Bureau of Economic Research, Inc.
    6. Huber, Martin & Wüthrich, Kaspar, 2017. "Evaluating local average and quantile treatment effects under endogeneity based on instruments: a review," FSES Working Papers 479, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    7. Huber, Martin, 2012. "Statistical verification of a natural "natural experiment": Tests and sensitivity checks for the sibling sex ratio instrument," Economics Working Paper Series 1219, University of St. Gallen, School of Economics and Political Science.
    8. Chen, Xuan & Flores, Carlos A. & Flores-Lagunes, Alfonso, 2015. "Going Beyond LATE: Bounding Average Treatment Effects of Job Corps Training," IZA Discussion Papers 9511, IZA Network @ LISER.
    9. Amanda E. Kowalski, 2016. "Doing More When You're Running LATE: Applying Marginal Treatment Effect Methods to Examine Treatment Effect Heterogeneity in Experiments for the Young and Privately Insured"," Cowles Foundation Discussion Papers 2045, Cowles Foundation for Research in Economics, Yale University.
    10. Huber, Martin & Mellace, Giovanni, 2011. "Testing instrument validity for LATE identification based on inequality moment constraints," Economics Working Paper Series 1143, University of St. Gallen, School of Economics and Political Science.

  70. Martin Huber, 2010. "Testing for covariate balance using quantile regression and resampling methods," University of St. Gallen Department of Economics working paper series 2010 2010-18, Department of Economics, University of St. Gallen.

    Cited by:

    1. Rajeev Dehejia, 2013. "The Porous Dialectic: Experimental and Non-Experimental Methods in Development Economics," WIDER Working Paper Series wp-2013-011, World Institute for Development Economic Research (UNU-WIDER).
    2. Magdalena Smyk & Joanna Tyrowicz & Lucas van der Velde, 2021. "A Cautionary Note on the Reliability of the Online Survey Data: The Case of Wage Indicator," Sociological Methods & Research, , vol. 50(1), pages 429-464, February.
    3. Huber, Martin & Lechner, Michael & Wunsch, Conny, 2013. "The performance of estimators based on the propensity score," Journal of Econometrics, Elsevier, vol. 175(1), pages 1-21.
    4. Dehejia Rajeev, 2015. "Experimental and Non-Experimental Methods in Development Economics: A Porous Dialectic," Journal of Globalization and Development, De Gruyter, vol. 6(1), pages 47-69, June.
    5. Martin Huber & Michael Lechner & Conny Wunsch, 2010. "How to control for many covariates? Reliable estimators based on the propensity score," University of St. Gallen Department of Economics working paper series 2010 2010-30, Department of Economics, University of St. Gallen.
    6. Egger, Peter & ,, 2017. "Comparing Apples to Apples: Estimating Consistent Partial Effects of Preferential Economic Integration Agreements," CEPR Discussion Papers 11894, C.E.P.R. Discussion Papers.

  71. Huber, Martin & Lechner, Michael & Wunsch, Conny, 2010. "How to Control for Many Covariates? Reliable Estimators Based on the Propensity Score," IZA Discussion Papers 5268, IZA Network @ LISER.

    Cited by:

    1. Dolton, Peter & Smith, Jeffrey A., 2011. "The Impact of the UK New Deal for Lone Parents on Benefit Receipt," IZA Discussion Papers 5491, IZA Network @ LISER.
    2. Lechner, Michael & Wunsch, Conny, 2011. "Sensitivity of matching-based program evaluations to the availability of control variables," Economics Working Paper Series 1105, University of St. Gallen, School of Economics and Political Science.
    3. Paweł Strawiński, 2012. "Small sample properties of matching with caliper," Working Papers 2012-13, Faculty of Economic Sciences, University of Warsaw.
    4. Tyrowicz, Joanna & van der Velde, Lucas & Goraus-Tanska, Karolina, 2018. "How (Not) to Make Women Work?," IZA Discussion Papers 11639, IZA Network @ LISER.
    5. Paweł Strawiński, 2013. "Controlling for overlap in matching," Working Papers 2013-10, Faculty of Economic Sciences, University of Warsaw.
    6. Huber, Martin, 2012. "Identifying causal mechanisms in experiments (primarily) based on inverse probability weighting," Economics Working Paper Series 1213, University of St. Gallen, School of Economics and Political Science, revised May 2013.
    7. L. Behrenz & L. Delander & J. Månsson, 2016. "Is Starting a Business a Sustainable way out of Unemployment? Treatment Effects of the Swedish Start-up Subsidy," Journal of Labor Research, Springer, vol. 37(4), pages 389-411, December.
    8. Bühler, Stefan & Helm, Marco & Lechner, Michael, 2011. "Trade Liberalization and Growth: Plant-Level Evidence from Switzerland," Economics Working Paper Series 1133, University of St. Gallen, School of Economics and Political Science.
    9. Rotger, Gabriel Pons & Gørtz, Mette & Storey, David J., 2012. "Assessing the effectiveness of guided preparation for new venture creation and performance: Theory and practice," Journal of Business Venturing, Elsevier, vol. 27(4), pages 506-521.
    10. Karolina Goraus & Joanna Tyrowicz, 2013. "The Goodwill Effect? Female Access to the Labor Market Over Transition: A Multicountry Analysis," Working Papers 2013-19, Faculty of Economic Sciences, University of Warsaw.
    11. Martin Biewen & Bernd Fitzenberger & Aderonke Osikominu & Marie Paul, 2012. "The effectiveness of public sponsored training revisited: The importance of data and methodological choices," ECON - Working Papers 091, Department of Economics - University of Zurich.
    12. Felfe, Christina & Lechner, Michael & Steinmayr, Andreas, 2011. "Sport and Child Development," Economics Working Paper Series 1135, University of St. Gallen, School of Economics and Political Science.
    13. Garbero, A., 2016. "IFAD RESEARCH SERIES 7 - Measuring IFAD’s impact: background paper to the IFAD9 Impact Assessment Initiative," IFAD Research Series 280045, International Fund for Agricultural Development (IFAD).
    14. Mario Liebensteiner, 2014. "Estimating the Income Gain of Seasonal Labor Migration," Review of Development Economics, Wiley Blackwell, vol. 18(4), pages 667-680, November.
    15. Dragana Radicic & Geoffrey Pugh, 2017. "R&D Programmes, Policy Mix, and the ‘European Paradox’: Evidence from European SMEs," Science and Public Policy, Oxford University Press, vol. 44(4), pages 497-512.
    16. Caliendo, Marco & Künn, Steffen & Schmidl, Ricarda, 2011. "Fighting Youth Unemployment: The Effects of Active Labor Market Policies," IZA Discussion Papers 6222, IZA Network @ LISER.
    17. Daniel L. Millimet & Jayjit Roy, 2011. "Three New Empirical Tests of the Pollution Haven Hypothesis When Environmental Regulation is Endogenous," Working Papers 11-10, Department of Economics, Appalachian State University.
    18. Van Biesebroeck, Johannes & Yu, Emily & Chen, Shenjie, 2011. "The Impact of Trade Promotion Services on Canadian Exporter Performance," CEPR Discussion Papers 8597, C.E.P.R. Discussion Papers.
    19. Ferraro, Paul J. & Miranda, Juan José, 2014. "The performance of non-experimental designs in the evaluation of environmental programs: A design-replication study using a large-scale randomized experiment as a benchmark," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PA), pages 344-365.
    20. Enoch M. Kikulwe & Joseph Lule Kyanjo & Edward Kato & Reuben T. Ssali & Rockefeller Erima & Samuel Mpiira & Walter Ocimati & William Tinzaara & Jerome Kubiriba & Elisabetta Gotor & Dietmar Stoian & El, 2019. "Management of Banana Xanthomonas Wilt: Evidence from Impact of Adoption of Cultural Control Practices in Uganda," Sustainability, MDPI, vol. 11(9), pages 1-18, May.
    21. Göbel, Christian & Zwick, Thomas, 2013. "Are personnel measures effective in increasing productivity of old workers?," Labour Economics, Elsevier, vol. 22(C), pages 80-93.
    22. Michael Lechner, 2010. "The Estimation of Causal Effects by Difference-in-Difference Methods," University of St. Gallen Department of Economics working paper series 2010 2010-28, Department of Economics, University of St. Gallen, revised Oct 2011.

  72. Lechner, Michael & Wunsch, Conny & Huber, Martin, 2009. "Does Leaving Welfare Improve Health? Evidence for Germany," CEPR Discussion Papers 7421, C.E.P.R. Discussion Papers.

    Cited by:

    1. Ivanov, Boris & Pfeiffer, Friedhelm & Pohlan, Laura, 2020. "Do job creation schemes improve the social integration and well-being of the long-term unemployed?," Labour Economics, Elsevier, vol. 64(C).
    2. Eggs, Johannes, 2013. "Unemployment benefit II, unemployment and health," IAB-Discussion Paper 201312, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    3. Schmitz, Hendrik, 2011. "Why are the unemployed in worse health? The causal effect of unemployment on health," Labour Economics, Elsevier, vol. 18(1), pages 71-78, January.
    4. Caliendo, Marco & Mahlstedt, Robert & van den Berg, Gerard & Vikström, Johan, 2020. "Side effects of labor market policies," Working Paper Series 2020:20, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    5. Lechner, Michael & Wunsch, Conny & Huber, Martin, 2013. "The effect of firms' partial retirement policies on the labour market outcomes of their employees," CEPR Discussion Papers 9574, C.E.P.R. Discussion Papers.
    6. Gebel, Michael & Voßemer, Jonas, 2014. "The impact of employment transitions on health in Germany. A difference-in-differences propensity score matching approach," Social Science & Medicine, Elsevier, vol. 108(C), pages 128-136.
    7. Huber, Martin, 2012. "Identifying causal mechanisms in experiments (primarily) based on inverse probability weighting," Economics Working Paper Series 1213, University of St. Gallen, School of Economics and Political Science, revised May 2013.
    8. Huber, Martin & Lechner, Michael & Wunsch, Conny, 2014. "Workplace Health Promotion and Labour Market Performance of Employees," IZA Discussion Papers 8297, IZA Network @ LISER.
    9. Carlo Devillanova & Michele Raitano & Emanuela Struffolino, 2019. "Longitudinal employment trajectories and health in middle life: Insights from linked administrative and survey data," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 40(47), pages 1375-1412.
    10. Achatz, Juliane & Trappmann, Mark, 2011. "Arbeitsmarktvermittelte Abgänge aus der Grundsicherung : der Einfluss von personen- und haushaltsgebundenen Barrieren," IAB-Discussion Paper 201102, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    11. Huber, Martin & Lechner, Michael & Wunsch, Conny, 2013. "The performance of estimators based on the propensity score," Journal of Econometrics, Elsevier, vol. 175(1), pages 1-21.
    12. Ong, Rachel & Nguyen, Toan & Kendall, Garth, 2018. "The impact of intergenerational financial transfers on health and wellbeing outcomes: A longitudinal study," Social Science & Medicine, Elsevier, vol. 214(C), pages 179-186.
    13. Crost, Benjamin, 2016. "Can workfare programs offset the negative effect of unemployment on subjective well-being?," Economics Letters, Elsevier, vol. 140(C), pages 42-47.
    14. Schiele, Valentin & Schmitz, Hendrik, 2016. "Quantile treatment effects of job loss on health," Journal of Health Economics, Elsevier, vol. 49(C), pages 59-69.
    15. Pei‐An Liao & Hung‐Hao Chang & Yi‐Ju Su, 2020. "Cash transfer program and child underweight—Empirical evidence from a causal mediation analysis," Agricultural Economics, International Association of Agricultural Economists, vol. 51(2), pages 291-303, March.
    16. Huber, Martin & Lechner, Michael & Steinmayr, Andreas, 2012. "Radius matching on the propensity score with bias adjustment: finite sample behaviour, tuning parameters and software implementation," Economics Working Paper Series 1226, University of St. Gallen, School of Economics and Political Science.
    17. Israel Escudero-Castillo & Fco. Javier Mato-Díaz & Ana Rodríguez-Alvarez, 2023. "Psychological Well-Being during the COVID-19 Lockdown: Labour Market and Gender Implications," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 18(1), pages 71-91, February.
    18. Reichert, Arndt R. & Tauchmann, Harald, 2017. "Workforce reduction, subjective job insecurity, and mental health," Journal of Economic Behavior & Organization, Elsevier, vol. 133(C), pages 187-212.
    19. Ayala, Luis & Rodríguez, Magdalena, 2013. "Health-related effects of welfare-to-work policies," Social Science & Medicine, Elsevier, vol. 93(C), pages 103-112.
    20. Lucy Kok & Remco van Eijkel & Pierre Koning & Marloes Lammers, 2026. "Assessing the Effects of Reduced Access to Income Support for Disabled Young Adults," De Economist, Springer, vol. 174(1), pages 29-58, March.
    21. Jos Slabbekoorn & Ineke Maas & J Cok Vrooman, 2024. "Intersectionality and benefit receipt: The interplay between education, gender, age and migration background," PLOS ONE, Public Library of Science, vol. 19(11), pages 1-24, November.
    22. Remco van Eijkel & Sander Gerritsen & Klarita Sadiraj & Maroesjka Versantvoort, 2021. "The causal effects of employment on mental health and criminality for disabled workers," CPB Discussion Paper 425, CPB Netherlands Bureau for Economic Policy Analysis.
    23. Curnock, Esther & Leyland, Alastair H. & Popham, Frank, 2016. "The impact on health of employment and welfare transitions for those receiving out-of-work disability benefits in the UK," Social Science & Medicine, Elsevier, vol. 162(C), pages 1-10.
    24. Reichert, Arndt & Tauchmann, Harald, 2011. "The Causal Impact of Fear of Unemployment on Psychological Health," Ruhr Economic Papers 266, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.

  73. Lechner, Michael & Wunsch, Conny & Huber, Martin & Walter, Thomas, 2009. "Do German Welfare-to-Work Programmes Reduce Welfare and Increase Work?," CEPR Discussion Papers 7238, C.E.P.R. Discussion Papers.

    Cited by:

    1. Butschek, Sebastian & Walter, Thomas, 2013. "What active labour market programmes work for immigrants in Europe? A meta-analysis of the evaluation literature," ZEW Discussion Papers 13-056, ZEW - Leibniz Centre for European Economic Research.
    2. Hohendanner Christian, 2011. "Ein-Euro-Jobs und reguläre Beschäftigung / One-Euro-Jobs and Regular Employment: Eine Analyse potenzieller Substitutionseffekte mit Daten des IAB-Betriebspanels / An Analysis of Potential Substitution Effects Using the IAB Establishment Panel," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 231(2), pages 210-246, April.
    3. Wolff, Joachim & Hohmeyer, Katrin, 2011. "Direct job creation revisited: Is it effective for welfare recipients and does it matter whether participants receive a wage?," VfS Annual Conference 2011 (Frankfurt, Main): The Order of the World Economy - Lessons from the Crisis 48722, Verein für Socialpolitik / German Economic Association.
    4. Walter, Thomas & Butschek, Sebastian, 2013. "What Active Labour Market Programmes Work for Immigrants in Europe?," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79745, Verein für Socialpolitik / German Economic Association.
    5. Bernhard Boockmann & Stephan Thomsen & Thomas Walter, 2011. "Aktivierung der erwerbsfähigen Hilfebedürftigen mit arbeitsmarktpolitischen Maßnahmen – Wer wird gefördert?," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 4(4), pages 269-292, January.
    6. Zimmermann, Klaus F. & Van den Berg, Gerard & Bergemann, Annette & Caliendo, Marco, 2011. "The Threat Effect of Participation in Active Labor Market Programs on Job Search Behavior of Migrants in Germany," CEPR Discussion Papers 8295, C.E.P.R. Discussion Papers.
    7. Aldashev, Alisher & Thomsen, Stephan L. & Walter, Thomas, 2010. "Short-term training programs for immigrants: do effects differ from natives and why?," ZEW Discussion Papers 10-021, ZEW - Leibniz Centre for European Economic Research.
    8. Zabel, Cordula, 2013. "Effects of participating in skill training and workfare on employment entries for lone mothers receiving means-tested benefits in Germany," IAB-Discussion Paper 201303, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    9. Anne Britt Djuve & Hanne Cecilie Kavli, 2019. "Refugee integration policy the Norwegian way – why good ideas fail and bad ideas prevail," Transfer: European Review of Labour and Research, , vol. 25(1), pages 25-42, February.
    10. Haisken-DeNew, John P. & Vorell, Matthias, 2009. "Killing them with Kindness: Negative Distributional Externalities of Increasing UI Benefits," Ruhr Economic Papers 121, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    11. Reinhard Hujer, 2011. "Mikroökonometrie und Kausalität: Zur Bedeutung arbeitsmarktpolitischer Evaluationsstudien," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 5(1), pages 5-18, March.
    12. Schneider Hilmar & Uhlendorff Arne & Zimmermann Klaus F., 2013. "Ökonometrie vs. Projektdesign: Lehren aus der Evaluation eines Modellprojekts zur Umsetzung des Workfare-Konzepts," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 233(1), pages 65-85, February.
    13. Thomsen, Stephan L. & Walter, Thomas, 2010. "Temporary extra jobs for immigrants: Merging lane to employment or dead-end road in welfare?," ZEW Discussion Papers 10-027, ZEW - Leibniz Centre for European Economic Research.

  74. Martin Huber, 2009. "Treatment evaluation in the presence of sample selection," University of St. Gallen Department of Economics working paper series 2009 2009-07, Department of Economics, University of St. Gallen.

    Cited by:

    1. Gerry H. Makepeace & Michael J. Peel, 2013. "Combining information from Heckman and matching estimators: testing and controlling for hidden bias," Economics Bulletin, AccessEcon, vol. 33(3), pages 2422-2436.
    2. Takeshima, Hiroyuki & Hatzenbuehler, Patrick L. & Edeh, Hyacinth O., 2020. "Effects of agricultural mechanization on economies of scope in crop production in Nigeria," Agricultural Systems, Elsevier, vol. 177(C).
    3. Hans Fricke & Markus Frölich & Martin Huber & Michael Lechner, 2020. "Endogeneity and non‐response bias in treatment evaluation – nonparametric identification of causal effects by instruments," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(5), pages 481-504, August.
    4. James J. Heckman & Ganesh Karapakula, 2019. "Intergenerational and Intragenerational Externalities of the Perry Preschool Project," NBER Working Papers 25889, National Bureau of Economic Research, Inc.
    5. Martin Huber & Jonas Meier & Hannes Wallimann, 2021. "Business analytics meets artificial intelligence: Assessing the demand effects of discounts on Swiss train tickets," Papers 2105.01426, arXiv.org, revised Jun 2022.
    6. Martin Huber, 2010. "Identification of average treatment effects in social experiments under different forms of attrition," University of St. Gallen Department of Economics working paper series 2010 2010-22, Department of Economics, University of St. Gallen.
    7. Huber, Martin & Laffers, Lukáš, 2020. "Bounds on direct and indirect effects under treatment/mediator endogeneity and outcome attrition," FSES Working Papers 514, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    8. Possebom, Vitor, 2018. "Sharp bounds on the MTE with sample selection," MPRA Paper 89785, University Library of Munich, Germany.
    9. Maasoumi, Esfandiar & Wang, Le, 2017. "What can we learn about the racial gap in the presence of sample selection?," Journal of Econometrics, Elsevier, vol. 199(2), pages 117-130.
    10. Rahul Singh, 2021. "Generalized Kernel Ridge Regression for Causal Inference with Missing-at-Random Sample Selection," Papers 2111.05277, arXiv.org.
    11. VAN KERM Philippe, 2009. "Generalized measures of wage differentials," IRISS Working Paper Series 2009-08, IRISS at CEPS/INSTEAD.
    12. Gayani Rathnayake & Akanksha Negi & Otavio Bartalotti & Xueyan Zhao, 2024. "Difference-in-Differences with Sample Selection," Papers 2411.09221, arXiv.org, revised Feb 2026.
    13. Xiaolin Sun & Xueyan Zhao & D. S. Poskitt, 2024. "Partially Identified Heterogeneous Treatment Effect with Selection: An Application to Gender Gaps," Papers 2410.01159, arXiv.org, revised Oct 2024.
    14. Heng Chen & Geoffrey R. Dunbar & Rallye Shen, 2017. "The Mode is the Message: Using Predata as Exclusion Restrictions to Evaluate Survey Design," Staff Working Papers 17-43, Bank of Canada.
    15. Bargain, Olivier B. & Doorley, Karina & Van Kerm, Philippe, 2018. "Minimum Wages and the Gender Gap in Pay: New Evidence from the UK and Ireland," IZA Discussion Papers 11502, IZA Network @ LISER.
    16. Akanksha Negi, 2020. "Doubly weighted M-estimation for nonrandom assignment and missing outcomes," Papers 2011.11485, arXiv.org.
    17. Dumas, Christelle & Gautrain, Elsa & Gosselin-Pali, Adrien, 2025. "Nutritional Benefits of Fostering: Evidence from Longitudinal Data in South Africa," GLO Discussion Paper Series 1628, Global Labor Organization (GLO).
    18. Heng Chen & John Tsang, 2025. "Correcting Selection Bias in a Non-Probability Two-Phase Payment Survey," Staff Working Papers 25-17, Bank of Canada.
    19. Olivier Bargain & K. Doorley & P. van Kerm, 2019. "Minimum Wages and the Gender GAP in Pay: New Evidence from the United Kingdom and Ireland," Post-Print hal-03173590, HAL.
    20. Jenna Nobles & Amar Hamoudi, 2019. "Detecting the Effects of Early-Life Exposures: Why Fecundity Matters," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 38(6), pages 783-809, December.

Articles

  1. Selina Gangl & Martin Huber, 2025. "From homemakers to breadwinners? How mandatory kindergarten affects maternal labour market outcomes," Journal of Population Economics, Springer;European Society for Population Economics, vol. 38(2), pages 1-23, June.
    See citations under working paper version above.
  2. Bodory, Hugo & Camponovo, Lorenzo & Huber, Martin & Lechner, Michael, 2024. "Nonparametric bootstrap for propensity score matching estimators," Statistics & Probability Letters, Elsevier, vol. 208(C).

    Cited by:

    1. Ziming Lin & Fang Han, 2024. "On the consistency of bootstrap for matching estimators," Papers 2410.23525, arXiv.org, revised Nov 2024.
    2. Li, Xinyi & Wang, Shitong & Chen, Zhiqiang, 2024. "Hierarchical reconciliation of convolutional gated recurrent units for unified forecasting of branched and aggregated district heating loads," Energy, Elsevier, vol. 313(C).

  3. Michela Bia & Martin Huber & Lukáš Lafférs, 2024. "Double Machine Learning for Sample Selection Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 42(3), pages 958-969, July.
    See citations under working paper version above.
  4. Christian M Dahl & Martin Huber & Giovanni Mellace, 2023. "It is never too LATE: a new look at local average treatment effects with or without defiers," The Econometrics Journal, Royal Economic Society, vol. 26(3), pages 378-404.
    See citations under working paper version above.
  5. Henrika Langen & Martin Huber, 2023. "How causal machine learning can leverage marketing strategies: Assessing and improving the performance of a coupon campaign," PLOS ONE, Public Library of Science, vol. 18(1), pages 1-37, January.
    See citations under working paper version above.
  6. Hannes Wallimann & David Imhof & Martin Huber, 2023. "A Machine Learning Approach for Flagging Incomplete Bid-Rigging Cartels," Computational Economics, Springer;Society for Computational Economics, vol. 62(4), pages 1669-1720, December.
    See citations under working paper version above.
  7. Simon Berset & Martin Huber & Mark Schelker, 2023. "The fiscal response to revenue shocks," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 30(3), pages 814-848, June.
    See citations under working paper version above.
  8. Buechel, Berno & Gangl, Selina & Huber, Martin, 2023. "How residence permits affect the labor market attachment of foreign workers: Evidence from a migration lottery in Liechtenstein," European Economic Review, Elsevier, vol. 152(C).
    See citations under working paper version above.
  9. Huber, Martin & Imhof, David, 2023. "Flagging cartel participants with deep learning based on convolutional neural networks," International Journal of Industrial Organization, Elsevier, vol. 89(C).

    Cited by:

    1. David Imhof & Emanuel W Viklund & Martin Huber, 2025. "Catching Bid-rigging Cartels with Graph Attention Neural Networks," Papers 2507.12369, arXiv.org, revised Jul 2025.
    2. Aaltio, Aapo & Buri, Riku & Jokelainen, Antto & Lundberg, Johan, 2025. "Complementary bidding and cartel detection: Evidence from Nordic asphalt markets," International Journal of Industrial Organization, Elsevier, vol. 98(C).
    3. Bedri Kamil Onur Tas, 2024. "A machine learning approach to detect collusion in public procurement with limited information," Journal of Computational Social Science, Springer, vol. 7(2), pages 1913-1935, October.
    4. Lucas Gomes & Jannis Kueck & Mara Mattes & Martin Spindler & Alexey Zaytsev, 2024. "Collusion Detection with Graph Neural Networks," Papers 2410.07091, arXiv.org.
    5. Barone, Guglielmo & Letta, Marco, 2025. "Unlevel playing field? Machine learning meets state aid regulation," International Journal of Industrial Organization, Elsevier, vol. 101(C).

  10. Martin Huber & Mark Schelker & Anthony Strittmatter, 2022. "Direct and Indirect Effects based on Changes-in-Changes," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(1), pages 432-443, January.
    See citations under working paper version above.
  11. Martin Huber & Lukáš Lafférs, 2022. "Bounds on direct and indirect effects under treatment/mediator endogeneity and outcome attrition," Econometric Reviews, Taylor & Francis Journals, vol. 41(10), pages 1141-1163, November.
    See citations under working paper version above.
  12. Hugo Bodory & Martin Huber & Lukáš Lafférs, 2022. "Evaluating (weighted) dynamic treatment effects by double machine learning [Identification of causal effects using instrumental variables]," The Econometrics Journal, Royal Economic Society, vol. 25(3), pages 628-648.
    See citations under working paper version above.
  13. Martin Huber & David Imhof & Rieko Ishii, 2022. "Transnational machine learning with screens for flagging bid‐rigging cartels," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(3), pages 1074-1114, July.
    See citations under working paper version above.
  14. Elena Denisova-Schmidt & Martin Huber & Yaroslav Prytula, 2022. "Perceived Anonymity and Cheating in an Online Experiment," Eastern European Economics, Taylor & Francis Journals, vol. 60(6), pages 540-558, November.

    Cited by:

    1. Feess, Eberhard & Schilling, Thomas & Timofeyev, Yuriy, 2023. "Misreporting in teams with individual decision making: The impact of information and communication," Journal of Economic Behavior & Organization, Elsevier, vol. 209(C), pages 509-532.
    2. Anderson, James & Baidya, Akanksha, 2025. "Which Data Do Economists Use to Study Corruption ? A Cross-Section of Corruption Research," Policy Research Working Paper Series 11091, The World Bank.

  15. Helmut Farbmacher & Martin Huber & Lukáš Lafférs & Henrika Langen & Martin Spindler, 2022. "Causal mediation analysis with double machine learning [Mediation analysis via potential outcomes models]," The Econometrics Journal, Royal Economic Society, vol. 25(2), pages 277-300.
    See citations under working paper version above.
  16. Huber, Martin & Meier, Jonas & Wallimann, Hannes, 2022. "Business analytics meets artificial intelligence: Assessing the demand effects of discounts on Swiss train tickets," Transportation Research Part B: Methodological, Elsevier, vol. 163(C), pages 22-39.
    See citations under working paper version above.
  17. Martin E Andresen & Martin Huber, 2021. "Instrument-based estimation with binarised treatments: issues and tests for the exclusion restriction," The Econometrics Journal, Royal Economic Society, vol. 24(3), pages 536-558.
    See citations under working paper version above.
  18. Daria Loginova & Marco Portmann & Martin Huber, 2021. "Assessing the Effects of Seasonal Tariff‐rate Quotas on Vegetable Prices in Switzerland," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(2), pages 607-627, June.
    See citations under working paper version above.
  19. Elena Denisova-Schmidt & Martin Huber & Elvira Leontyeva & Anna Solovyeva, 2021. "Combining experimental evidence with machine learning to assess anti-corruption educational campaigns among Russian university students," Empirical Economics, Springer, vol. 60(4), pages 1661-1684, April.
    See citations under working paper version above.
  20. Martin Huber & Andreas Steinmayr, 2021. "A Framework for Separating Individual-Level Treatment Effects From Spillover Effects," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(2), pages 422-436, March.
    See citations under working paper version above.
  21. Ana Fernandes & Martin Huber & Giannina Vaccaro, 2021. "Gender differences in wage expectations," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-24, June.
    See citations under working paper version above.
  22. Holger Herz & Martin Huber & Tjaša Maillard-Bjedov & Svitlana Tyahlo, 2021. "Time Preferences Across Language Groups: Evidence on Intertemporal Choices from the Swiss Language Border," The Economic Journal, Royal Economic Society, vol. 131(639), pages 2920-2954.

    Cited by:

    1. Wang, Yanbing & Schaub, Sergei & Wuepper, David & Finger, Robert, 2022. "Culture and Agricultural Biodiversity Conservation," 96th Annual Conference, April 4-6, 2022, K U Leuven, Belgium 321224, Agricultural Economics Society - AES.
    2. Katharina Erhardt & Simon Haenni, 2021. "The Cultural Roots of Firm Entry, Exit, and Growth," CESifo Working Paper Series 9198, CESifo.
    3. Clist, Paul, 2025. "The Common Problem of Bad Controls in Tests of the Linguistic Savings Hypothesis. A Comment on Ayres et al. (PNAS, 2023) and related literature," Journal of Comments and Replications in Economics (JCRE), ZBW - Leibniz Information Centre for Economics, vol. 4, pages 1-27.
    4. Maurizio Strazzeri & Enzo Brox & Chantal Oggenfuss & Stefan C. Wolter, 2022. "Early exposure to foreign language training and students' educational trajectories," Economics of Education Working Paper Series 0195, University of Zurich, Department of Business Administration (IBW).
    5. Strazzeri, Maurizio & Oggenfuss, Chantal & Wolter, Stefan C., 2022. "Much Ado about Nothing? School Curriculum Reforms and Students' Educational Trajectories," IZA Discussion Papers 15505, IZA Network @ LISER.
    6. Clist, Paul & Hong, Ying-yi, 2023. "Do international students learn foreign preferences? The interplay of language, identity and assimilation," Journal of Economic Psychology, Elsevier, vol. 98(C).
    7. Chen, Josie I. & Han, Yue & He, Tai-Sen, 2025. "Does future time reference framing increase temporal discounting? Evidence from English monolinguals," Journal of Economic Psychology, Elsevier, vol. 107(C).
    8. Essl, Andrea & Suter, Manuel & von Bieberstein, Frauke, 2023. "The effect of future-time referencing on pro-environmental behavior," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 107(C).

  23. Martin Huber & Anna Solovyeva, 2020. "Direct and Indirect Effects under Sample Selection and Outcome Attrition," Econometrics, MDPI, vol. 8(4), pages 1-25, December.
    See citations under working paper version above.
  24. Hans Fricke & Markus Frölich & Martin Huber & Michael Lechner, 2020. "Endogeneity and non‐response bias in treatment evaluation – nonparametric identification of causal effects by instruments," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(5), pages 481-504, August.
    See citations under working paper version above.
  25. Martin Huber & Yu‐Chin Hsu & Ying‐Ying Lee & Layal Lettry, 2020. "Direct and indirect effects of continuous treatments based on generalized propensity score weighting," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(7), pages 814-840, November.
    See citations under working paper version above.
  26. Martin Huber & Anna Solovyeva, 2020. "On the Sensitivity of Wage Gap Decompositions," Journal of Labor Research, Springer, vol. 41(1), pages 1-33, June.
    See citations under working paper version above.
  27. Martin Huber & Henrika Langen, 2020. "Timing matters: the impact of response measures on COVID-19-related hospitalization and death rates in Germany and Switzerland," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 156(1), pages 1-19, December.

    Cited by:

    1. Felder, Stefan & Robra, Bernt-Peter, 2020. "Effectiveness of Corona Lockdowns: Homburg's Flawed Analysis," Working papers 2020/08, Faculty of Business and Economics - University of Basel.
    2. John M. Bizjak & Swaminathan L. Kalpathy & Vassil T. Mihov & Jue Ren, 2022. "CEO Political Leanings and Store‐Level Economic Activity during the COVID‐19 Crisis: Effects on Shareholder Value and Public Health," Journal of Finance, American Finance Association, vol. 77(5), pages 2949-2986, October.
    3. Stankov, Petar, 2025. "Politically optimal lockdowns with vaccine hesitancy: Theory and evidence from Switzerland," Journal of Policy Modeling, Elsevier, vol. 47(2), pages 358-370.
    4. Amit Summan & Arindam Nandi, 2022. "Timing of non-pharmaceutical interventions to mitigate COVID-19 transmission and their effects on mobility: a cross-country analysis," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(1), pages 105-117, February.
    5. Aparicio Fenoll, Ainoa & Grossbard, Shoshana, 2020. "Intergenerational residence patterns and Covid-19 fatalities in the EU and the US," Economics & Human Biology, Elsevier, vol. 39(C).
    6. Kathleen McColl & Marion Debin & Cecile Souty & Caroline Guerrisi & Clement Turbelin & Alessandra Falchi & Isabelle Bonmarin & Daniela Paolotti & Chinelo Obi & Jim Duggan & Yamir Moreno & Ania Wisniak, 2021. "Are People Optimistically Biased about the Risk of COVID-19 Infection? Lessons from the First Wave of the Pandemic in Europe," IJERPH, MDPI, vol. 19(1), pages 1-23, December.
    7. Nikos Askitas & Konstantinos Tatsiramos & Bertrand Verheyden, 2020. "Lockdown Strategies, Mobility Patterns and COVID-19," Papers 2006.00531, arXiv.org.
    8. Matthew Spiegel & Heather Tookes, 2021. "Business Restrictions and COVID-19 Fatalities [The immediate effect of COVID-19 policies on social distancing behavior in the United States]," The Review of Financial Studies, Society for Financial Studies, vol. 34(11), pages 5266-5308.
    9. Nicholas Charron & Victor Lapuente & Andres Rodriguez-Pose, 2022. "Uncooperative Society, Uncooperative Politics or Both? Trust, Polarisation, Populism and COVID-19 Deaths across European regions," Papers in Evolutionary Economic Geography (PEEG) 2204, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Jan 2022.
    10. Rihab Baltaji & Ali Fakih & Nagham Sayour, 2023. "How did COVID‐19 lockdowns affect firms and workers? Evidence from Jordan and Morocco," Development Policy Review, Overseas Development Institute, vol. 41(6), November.
    11. Roy Cerqueti & Raffaella Coppier & Alessandro Girardi & Marco Ventura, 2021. "The sooner the better: lives saved by the lockdown during the COVID-19 outbreak. The case of Italy," Papers 2101.11901, arXiv.org.
    12. Regina Pleninger & Sina Streicher & Jan-Egbert Sturm, 2022. "Do COVID-19 containment measures work? Evidence from Switzerland," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 158(1), pages 1-24, December.
    13. Mellacher, Patrick, 2020. "COVID-Town: An Integrated Economic-Epidemiological Agent-Based Model," MPRA Paper 103661, University Library of Munich, Germany.
    14. Adil Al Wahaibi & Amal Al Maani & Fatma Alyaquobi & Abdullah Al Manji & Khalid Al Harthy & Bader Al Rawahi & Abdullah Alqayoudhi & Sulien Al Khalili & Amina Al-Jardani & Seif Al-Abri, 2021. "The Impact of Mobility Restriction Strategies in the Control of the COVID-19 Pandemic: Modelling the Relation between COVID-19 Health and Community Mobility Data," IJERPH, MDPI, vol. 18(19), pages 1-10, October.
    15. Emanuel Nussli & Simon Hediger & Meta-Lina Spohn & Marloes H. Maathuis, 2024. "The effect of a strict facial-mask policy on the spread of COVID-19 in Switzerland during the early phase of the pandemic," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 160(1), pages 1-20, December.

  28. Hugo Bodory & Lorenzo Camponovo & Martin Huber & Michael Lechner, 2020. "The Finite Sample Performance of Inference Methods for Propensity Score Matching and Weighting Estimators," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(1), pages 183-200, January.
    See citations under working paper version above.
  29. Huber Martin & Wüthrich Kaspar, 2019. "Local Average and Quantile Treatment Effects Under Endogeneity: A Review," Journal of Econometric Methods, De Gruyter, vol. 8(1), pages 1-27, January.
    See citations under working paper version above.
  30. Markus Frölich & Martin Huber, 2019. "Including Covariates in the Regression Discontinuity Design," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(4), pages 736-748, October.
    See citations under working paper version above.
  31. Huber, Martin & Imhof, David, 2019. "Machine learning with screens for detecting bid-rigging cartels," International Journal of Industrial Organization, Elsevier, vol. 65(C), pages 277-301.
    See citations under working paper version above.
  32. Eva Deuchert & Martin Huber & Mark Schelker, 2019. "Direct and Indirect Effects Based on Difference-in-Differences With an Application to Political Preferences Following the Vietnam Draft Lottery," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(4), pages 710-720, October.
    See citations under working paper version above.
  33. Hsu Yu-Chin & Huber Martin & Lai Tsung-Chih, 2019. "Nonparametric estimation of natural direct and indirect effects based on inverse probability weighting," Journal of Econometric Methods, De Gruyter, vol. 8(1), pages 1-20, January.
    See citations under working paper version above.
  34. Huber, Martin & Kotevska, Ana & Stojcheska, Aleksandra Martinovska & Solovyeva, Anna, 2019. "Evaluating an Information Campaign about Rural Development Policies in FYR Macedonia," Agricultural and Resource Economics Review, Cambridge University Press, vol. 48(1), pages 117-141, April.
    See citations under working paper version above.
  35. Martin Huber & Michael Lechner & Anthony Strittmatter, 2018. "Direct and indirect effects of training vouchers for the unemployed," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 181(2), pages 441-463, February.
    See citations under working paper version above.
  36. Christina Felfe & Martin Huber, 2017. "Does preschool boost the development of minority children?: the case of Roma children," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 180(2), pages 475-502, February.
    See citations under working paper version above.
  37. Frölich, Markus & Huber, Martin & Wiesenfarth, Manuel, 2017. "The finite sample performance of semi- and non-parametric estimators for treatment effects and policy evaluation," Computational Statistics & Data Analysis, Elsevier, vol. 115(C), pages 91-102.
    See citations under working paper version above.
  38. Bolzern, Benjamin & Huber, Martin, 2017. "Testing the validity of the compulsory schooling law instrument," Economics Letters, Elsevier, vol. 159(C), pages 23-27.
    See citations under working paper version above.
  39. Eva Deuchert & Martin Huber, 2017. "A Cautionary Tale About Control Variables in IV Estimation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(3), pages 411-425, June.
    See citations under working paper version above.
  40. Markus Frölich & Martin Huber, 2017. "Direct and indirect treatment effects–causal chains and mediation analysis with instrumental variables," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 79(5), pages 1645-1666, November.
    See citations under working paper version above.
  41. Martin Huber & Lukas Laffers & Giovanni Mellace, 2017. "Sharp IV Bounds on Average Treatment Effects on the Treated and Other Populations Under Endogeneity and Noncompliance," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(1), pages 56-79, January.

    Cited by:

    1. Federico A. Bugni & Mengsi Gao & Filip Obradovic & Amilcar Velez, 2024. "Identification and Inference on Treatment Effects under Covariate-Adaptive Randomization and Imperfect Compliance," Papers 2406.08419, arXiv.org, revised Apr 2025.
    2. Nadja van 't Hoff, 2023. "Identifying Causal Effects of Discrete, Ordered and ContinuousTreatments using Multiple Instrumental Variables," Papers 2311.17575, arXiv.org, revised Oct 2024.
    3. Santiago Acerenza & Julian Martinez-Iriarte & Alejandro S'anchez-Becerra & Pietro Emilio Spini, 2025. "Bounds for within-household encouragement designs with interference," Papers 2503.14314, arXiv.org.
    4. Christelis, Dimitris & Messina, Julián, 2019. "Partial Identification of Population Average and Quantile Treatment Effects in Observational Data under Sample Selection," IDB Publications (Working Papers) 9520, Inter-American Development Bank.
    5. Chen, Xuan & Flores, Carlos A. & Flores-Lagunes, Alfonso, 2017. "Going beyond LATE: Bounding Average Treatment Effects of Job Corps Training," GLO Discussion Paper Series 93, Global Labor Organization (GLO).
    6. Wang, Xintong & Flores-Lagunes, Alfonso, 2020. "Conscription and Military Service: Do They Result in Future Violent and Non-Violent Incarcerations and Recidivism?," IZA Discussion Papers 14003, IZA Network @ LISER.
    7. Amanda E. Kowalski, 2018. "Extrapolation using Selection and Moral Hazard Heterogeneity from within the Oregon Health Insurance Experiment," Cowles Foundation Discussion Papers 2135, Cowles Foundation for Research in Economics, Yale University.
    8. Kory Kroft & Ismael Mourifi'e & Atom Vayalinkal, 2024. "Horowitz-Manski-Lee Bounds with Multilayered Sample Selection," Papers 2409.04589, arXiv.org, revised Feb 2025.
    9. Marx, Philip, 2024. "Sharp bounds in the latent index selection model," Journal of Econometrics, Elsevier, vol. 238(2).
    10. Huber Martin & Wüthrich Kaspar, 2019. "Local Average and Quantile Treatment Effects Under Endogeneity: A Review," Journal of Econometric Methods, De Gruyter, vol. 8(1), pages 1-27, January.
    11. Possebom, Vitor, 2018. "Sharp bounds on the MTE with sample selection," MPRA Paper 89785, University Library of Munich, Germany.
    12. Kédagni, Désiré, 2023. "Identifying treatment effects in the presence of confounded types," Journal of Econometrics, Elsevier, vol. 234(2), pages 479-511.
    13. Aizawa, T.;, 2019. "Reviewing the Existing Evidence of the Conditional Cash Transfer in India through the Partial Identification Approach," Health, Econometrics and Data Group (HEDG) Working Papers 19/24, HEDG, c/o Department of Economics, University of York.
    14. Pedro Picchetti, 2026. "Sensitivity Analysis for Instrumental Variables Under Joint Relaxations of Monotonicity and Independence," Papers 2603.25529, arXiv.org, revised Mar 2026.
    15. Lukáš Lafférs, 2019. "Identification in Models with Discrete Variables," Computational Economics, Springer;Society for Computational Economics, vol. 53(2), pages 657-696, February.
    16. Xiaolin Sun & Xueyan Zhao & D. S. Poskitt, 2024. "Partially Identified Heterogeneous Treatment Effect with Selection: An Application to Gender Gaps," Papers 2410.01159, arXiv.org, revised Oct 2024.
    17. Lukas Laffers & Giovanni Mellace, 2017. "A note on testing instrument validity for the identification of LATE," Empirical Economics, Springer, vol. 53(3), pages 1281-1286, November.
    18. Michela Bia & German Blanco & Marie Valentova, 2021. "The Causal Impact of Taking Parental Leave on Wages: Evidence from 2005 to 2015," LISER Working Paper Series 2021-08, Luxembourg Institute of Socio-Economic Research (LISER).
    19. Bartalotti, Otávio & Kédagni, Désiré & Possebom, Vitor, 2023. "Identifying marginal treatment effects in the presence of sample selection," Journal of Econometrics, Elsevier, vol. 234(2), pages 565-584.
    20. Kitagawa, Toru, 2021. "The identification region of the potential outcome distributions under instrument independence," Journal of Econometrics, Elsevier, vol. 225(2), pages 231-253.
    21. Claudia Noack, 2021. "Sensitivity of LATE Estimates to Violations of the Monotonicity Assumption," Papers 2106.06421, arXiv.org.

  42. Martin Huber & Michael Lechner & Giovanni Mellace, 2017. "Why Do Tougher Caseworkers Increase Employment? The Role of Program Assignment as a Causal Mechanism," The Review of Economics and Statistics, MIT Press, vol. 99(1), pages 180-183, March.
    See citations under working paper version above.
  43. Martin Huber, 2016. "Disentangling policy effects into causal channels," World of Labour, LISER, pages 259-259, May.

    Cited by:

    1. Ian Walker & Rhys Wheeler & Rob Pryce, 2017. "How much of a problem is problem gambling?," Working Papers 167235280, Lancaster University Management School, Economics Department.
    2. Burcu Hacibedel & Pierre Mandon & Priscilla Muthoora & Nathalie Pouokam, 2024. "Inequality, growth fluctuations, and employment," Empirical Economics, Springer, vol. 66(2), pages 587-622, February.
    3. Prifti, Ervin & Daidone, Silvio & Davis, Benjamin, 2019. "Causal pathways of the productive impacts of cash transfers: Experimental evidence from Lesotho," World Development, Elsevier, vol. 115(C), pages 258-268.
    4. Lochmann, Alexia & Rapoport, Hillel & Speciale, Biagio, 2019. "The effect of language training on immigrants’ economic integration: Empirical evidence from France," European Economic Review, Elsevier, vol. 113(C), pages 265-296.

  44. Martin Huber & Michael Lechner & Giovanni Mellace, 2016. "The Finite Sample Performance of Estimators for Mediation Analysis Under Sequential Conditional Independence," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(1), pages 139-160, January.
    See citations under working paper version above.
  45. Martin Huber & Michael Lechner & Conny Wunsch, 2016. "The Effect of Firms’ Phased Retirement Policies on the Labor Market Outcomes of Their Employees," ILR Review, Cornell University, ILR School, vol. 69(5), pages 1216-1248, October.

    Cited by:

    1. Johannes Geyer & Svenja Lorenz & Thomas Zwick & Mona Bruns, 2021. "Early Retirement of Employees in Demanding Jobs: Evidence from a German Pension Reform," Discussion Papers of DIW Berlin 1978, DIW Berlin, German Institute for Economic Research.
    2. Haan, Peter & Tolan, Songül, 2019. "Labor supply and fiscal effects of partial retirement – The role of entry age and the timing of pension benefits," The Journal of the Economics of Ageing, Elsevier, vol. 14(C).
    3. Rebecca Schrader, 2021. "The causal effect of partial retirement on older workers’ labor force participation," Working Papers 215, Bavarian Graduate Program in Economics (BGPE).
    4. Andrea Albanese & Bart Cockx & Yannick Thuy, 2020. "Working time reductions at the end of the career: Do they prolong the time spent in employment?," Empirical Economics, Springer, vol. 59(1), pages 99-141, July.
    5. Songül Tolan, 2017. "The Effect of Partial Retirement on Labor Supply, Public Balances and the Income Distribution: Evidence from a Structural Analysis," Discussion Papers of DIW Berlin 1679, DIW Berlin, German Institute for Economic Research.
    6. Vigtel, Trond Christian, 2018. "The retirement age and the hiring of senior workers," Labour Economics, Elsevier, vol. 51(C), pages 247-270.

  46. Elena Denisova-Schmidt & Martin Huber & Elvira Leontyeva, 2016. "Do Anti-Corruption Educational Campaigns Reach Students? Some Evidence from Russia and Ukraine," Voprosy obrazovaniya / Educational Studies Moscow, National Research University Higher School of Economics, issue 1, pages 61-83.

    Cited by:

    1. Elena Denisova-Schmidt & Martin Huber & Elvira Leontyeva & Anna Solovyeva, 2021. "Combining experimental evidence with machine learning to assess anti-corruption educational campaigns among Russian university students," Empirical Economics, Springer, vol. 60(4), pages 1661-1684, April.

  47. Martin Huber & Michael Lechner & Andreas Steinmayr, 2015. "Radius matching on the propensity score with bias adjustment: tuning parameters and finite sample behaviour," Empirical Economics, Springer, vol. 49(1), pages 1-31, August.
    See citations under working paper version above.
  48. Bernhard Boockmann & Stephan L. Thomsen & Thomas Walter & Christian Göbel & Martin Huber, 2015. "Should Welfare Administration be Centralized or Decentralized? Evidence from a Policy Experiment," German Economic Review, Verein für Socialpolitik, vol. 16(1), pages 13-42, February.
    See citations under working paper version above.
  49. Huber, Martin & Lechner, Michael & Wunsch, Conny, 2015. "Workplace health promotion and labour market performance of employees," Journal of Health Economics, Elsevier, vol. 43(C), pages 170-189.
    See citations under working paper version above.
  50. Martin Huber & Giovanni Mellace, 2015. "Sharp Bounds on Causal Effects under Sample Selection," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 77(1), pages 129-151, February.
    See citations under working paper version above.
  51. Martin Huber, 2015. "Testing the Validity of the Sibling Sex Ratio Instrument," LABOUR, CEIS, vol. 29(1), pages 1-14, March.

    Cited by:

    1. Thomas Carr & Toru Kitagawa, 2021. "Testing Instrument Validity with Covariates," Papers 2112.08092, arXiv.org, revised Sep 2023.
    2. Julia Schmieder, 2020. "Fertility as a Driver of Maternal Employment," Discussion Papers of DIW Berlin 1882, DIW Berlin, German Institute for Economic Research.
    3. Jan Priebe, 2020. "Quasi-experimental evidence for the causal link between fertility and subjective well-being," Journal of Population Economics, Springer;European Society for Population Economics, vol. 33(3), pages 839-882, July.
    4. Stacey H. Chen & Yen-Chien Chen & Jin-Tan Liu, 2016. "The Impact of Family Composition on Educational Achievement," GRIPS Discussion Papers 16-20, National Graduate Institute for Policy Studies.
    5. Sara Cools & Simen Markussen & Marte Strøm, 2017. "Children and Careers: How Family Size Affects Parents’ Labor Market Outcomes in the Long Run," Demography, Springer;Population Association of America (PAA), vol. 54(5), pages 1773-1793, October.
    6. Janna Bergsvik & Sara Cools & Rannveig K. Hart, 2023. "Explaining Residential Clustering of Large Families," European Journal of Population, Springer;European Association for Population Studies, vol. 39(1), pages 1-28, December.
    7. James Bisbee & Rajeev Dehejia & Cristian Pop-Eleches & Cyrus Samii, 2015. "Local Instruments, Global Extrapolation: External Validity of the Labor Supply-Fertility Local Average Treatment Effect," NBER Working Papers 21663, National Bureau of Economic Research, Inc.
    8. Guber, Raphael, 2018. "Instrument Validity Tests with Causal Trees: With an Application to the Same-sex Instrument," MEA discussion paper series 201805, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
    9. Öberg, Stefan, 2021. "The casual effect of fertility: The multiple problems with instrumental variables for the number of children in families," SocArXiv peuvz, Center for Open Science.

  52. Martin Huber, 2015. "Causal Pitfalls in the Decomposition of Wage Gaps," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(2), pages 179-191, April.
    See citations under working paper version above.
  53. Martin Huber & Blaise Melly, 2015. "A Test of the Conditional Independence Assumption in Sample Selection Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(7), pages 1144-1168, November.

    Cited by:

    1. Manuel Arellano & Stéphane Bonhomme, 2016. "Quantile Selection Models with an Application to Understanding Changes in Wage Inequality," Working Papers wp2016_1610, CEMFI.
    2. Valentina Corradi & Daniel Gutknecht, 2019. "Testing for Quantile Sample Selection," Papers 1907.07412, arXiv.org, revised Jan 2021.
    3. Bianchi, Pascal & Elgui, Kevin & Portier, François, 2023. "Conditional independence testing via weighted partial copulas," Journal of Multivariate Analysis, Elsevier, vol. 193(C).
    4. Hao, Shiming, 2021. "True structure change, spurious treatment effect? A novel approach to disentangle treatment effects from structure changes," MPRA Paper 108679, University Library of Munich, Germany.
    5. Maria Koumenta & Mario Pagliero & Davud Rostam-Afschar, 2020. "Occupational Licensing and the Gender Wage Gap," Carlo Alberto Notebooks 631, Collegio Carlo Alberto.
    6. Westphal, Matthias & Kamhöfer, Daniel A. & Schmitz, Hendrik, 2020. "Marginal college wage premiums under selection into employment," Ruhr Economic Papers 855, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    7. Liu, Ruixuan & Yu, Zhengfei, 2022. "Sample selection models with monotone control functions," Journal of Econometrics, Elsevier, vol. 226(2), pages 321-342.
    8. Michela Bia & Martin Huber & Luk'av{s} Laff'ers, 2020. "Double machine learning for sample selection models," Papers 2012.00745, arXiv.org, revised Jul 2021.
    9. Christl, Michael & Köppl-Turyna, Monika, 2017. "Gender wage gap and the role of skills: evidence from PIAAC dataset," Working Papers 05, Agenda Austria.
    10. Wang, Hongfei & Liu, Binghui & Feng, Long & Ma, Yanyuan, 2024. "Rank-based max-sum tests for mutual independence of high-dimensional random vectors," Journal of Econometrics, Elsevier, vol. 238(1).
    11. Bernd Fitzenberger & Roger Koenker & José Machado & Blaise Melly, 2022. "Economic applications of quantile regression 2.0," Empirical Economics, Springer, vol. 62(1), pages 1-6, January.
    12. Yong Bao & Gucheng Li & Xiaotian Liu, 2024. "A Spatial Sample Selection Model," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 86(4), pages 928-950, August.
    13. Mikhail Zhelonkin & Marc G. Genton & Elvezio Ronchetti, 2016. "Robust inference in sample selection models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 78(4), pages 805-827, September.
    14. David Powell & Dana Goldman, 2016. "Disentangling Moral Hazard and Adverse Selection in Private Health Insurance," NBER Working Papers 21858, National Bureau of Economic Research, Inc.
    15. Biewen, Martin & Fitzenberger, Bernd & Seckler, Matthias, 2020. "Counterfactual quantile decompositions with selection correction taking into account Huber/Melly (2015): An application to the German gender wage gap," Labour Economics, Elsevier, vol. 67(C).
    16. Jay Dev Dubey, 2021. "Measuring Income Elasticity of Healthcare-Seeking Behavior in India: A Conditional Quantile Regression Approach," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(4), pages 767-793, December.
    17. Liang, Qingquan & Zeng, Weihong & Yi, Lan, 2025. "Examining the wage gap between public and non-public sector in China: Insights from a robust quantile selection model," China Economic Review, Elsevier, vol. 92(C).
    18. Ai, Chunrong & Sun, Li-Hsien & Zhang, Zheng & Zhu, Liping, 2024. "Testing unconditional and conditional independence via mutual information," Journal of Econometrics, Elsevier, vol. 240(2).
    19. Sergio Garbay & Raquel Barrera, 2021. "¿Mujeres en suelos pegajosos? Un análisis de la evolución de las distribuciones de ingresos laborales en Bolivia en el periodo 2011-2019," Revista Latinoamericana de Desarrollo Economico, Carrera de Economía de la Universidad Católica Boliviana (UCB), issue 36, pages 123-168.
    20. Tromp, Nikolas, 2019. "The narrowing gender wage gap in South Korea," Journal of the Japanese and International Economies, Elsevier, vol. 53(C), pages 1-1.
    21. Bernd Fitzenberger & Jakob Lazzer, 2022. "Changing selection into full-time work and its effect on wage inequality in Germany," Empirical Economics, Springer, vol. 62(1), pages 247-277, January.
    22. Chen, Songnian & Liu, Nianqing & Zhang, Hanghui & Zhou, Yahong, 2025. "Estimation of wage inequality in the UK by quantile regression with censored selection," Journal of Econometrics, Elsevier, vol. 252(PB).
    23. Manuel Arellano & Stéphane Bonhomme, 2017. "Sample Selection in Quantile Regression: A Survey," Working Papers wp2017_1702, CEMFI.
    24. Elass, Kenza, 2024. "Male and female selection effects on gender wage gaps in three countries," Labour Economics, Elsevier, vol. 87(C).
    25. Ulf Nielsson & Herdis Steingrimsdottir, 2018. "The signalling value of education across genders," Empirical Economics, Springer, vol. 54(4), pages 1827-1854, June.
    26. Akanksha Negi, 2020. "Doubly weighted M-estimation for nonrandom assignment and missing outcomes," Papers 2011.11485, arXiv.org.
    27. Bargain, Olivier B. & Etienne, Audrey & Melly, Blaise, 2018. "Public Sector Wage Gaps over the Long-Run: Evidence from Panel Administrative Data," IZA Discussion Papers 11924, IZA Network @ LISER.
    28. Jeremiah Richey & Nikolas Tromp, 2021. "The Black–White wage gap among young men in 1990 versus 2011: With sample selection adjustments," Bulletin of Economic Research, Wiley Blackwell, vol. 73(4), pages 780-805, October.
    29. Mehtabul Azam & Nishith Prakash, 2015. "A Distributional Analysis of Public–Private Wage Differential in India," LABOUR, CEIS, vol. 29(4), pages 394-414, December.
    30. Tromp, Nikolas & Kwak, Juwon, 2022. "Graduating to a gender wage gap in South Korea," Journal of Asian Economics, Elsevier, vol. 78(C).

  54. Martin Huber & Giovanni Mellace, 2015. "Testing Instrument Validity for LATE Identification Based on Inequality Moment Constraints," The Review of Economics and Statistics, MIT Press, vol. 97(2), pages 398-411, May.
    See citations under working paper version above.
  55. Martin Huber, 2014. "Treatment Evaluation in the Presence of Sample Selection," Econometric Reviews, Taylor & Francis Journals, vol. 33(8), pages 869-905, November.
    See citations under working paper version above.
  56. Martin Huber, 2014. "Identifying Causal Mechanisms (Primarily) Based On Inverse Probability Weighting," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(6), pages 920-943, September.

    Cited by:

    1. Huber, Martin & Steinmayr, Andreas, 2017. "A Framework for Separating Individual Treatment Effects from Spillover, Interaction, and General Equilibrium Effects," IZA Discussion Papers 10648, IZA Network @ LISER.
    2. Huber, Martin, 2019. "An introduction to flexible methods for policy evaluation," FSES Working Papers 504, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    3. Lechner, Michael & Huber, Martin & Strittmatter, Anthony, 2015. "Direct and indirect effects of training vouchers for the unemployed," CEPR Discussion Papers 10650, C.E.P.R. Discussion Papers.
    4. Wunsch, Conny & Strobl, Renate, 2018. "Identification of Causal Mechanisms Based on Between-Subject Double Randomization Designs," IZA Discussion Papers 11626, IZA Network @ LISER.
    5. Bijwaard, Govert & Jones, Andrew M., 2016. "Cognitive Ability and the Mortality Gradient by Education: Selection or Mediation?," IZA Discussion Papers 9798, IZA Network @ LISER.
    6. Lampach, Nicolas & To-The, Nguyen & Nguyen-Anh, Tuan, 2021. "Technical efficiency and the adoption of multiple agricultural technologies in the mountainous areas of Northern Vietnam," Land Use Policy, Elsevier, vol. 103(C).
    7. Martin Huber & Yu‐Chin Hsu & Ying‐Ying Lee & Layal Lettry, 2020. "Direct and indirect effects of continuous treatments based on generalized propensity score weighting," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(7), pages 814-840, November.
    8. Shilei Liu & Jinlei Qi & Jintao Xu & Yuanyuan Yi & Peng Yin & Maigeng Zhou, 2024. "Forest Mitigates Short-Term Health Risk of Air Pollution: Evidence from China," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 87(8), pages 2163-2204, August.
    9. Govert E. Bijwaard & Andrew M. Jones, 2019. "An IPW estimator for mediation effects in hazard models: with an application to schooling, cognitive ability and mortality," Empirical Economics, Springer, vol. 57(1), pages 129-175, July.
    10. Luna Bellani & Michela Bia, 2016. "Intergenerational poverty transmission in Europe: The role of education," Working Paper Series of the Department of Economics, University of Konstanz 2016-02, Department of Economics, University of Konstanz.
    11. Bernhard Schmidpeter, 2024. "Does Stress Shorten Your Life? Evidence from Parental Bereavement," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 86(3), pages 485-518, June.
    12. José F Baños-Pino & David Boto-García & Eduardo Del Valle & Inés Sustacha, 2023. "The impact of COVID-19 on tourists’ length of stay and daily expenditures," Tourism Economics, , vol. 29(2), pages 437-459, March.
    13. Viviana Celli & Augusto Cerqua & Guido Pellegrini, 2024. "Does R&D Expenditure Boost Economic Growth in Lagging Regions?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 173(1), pages 249-268, May.
    14. Dongyang Yang & Wei Xu, 2023. "Estimation of Mediation Effect on Zero-Inflated Microbiome Mediators," Mathematics, MDPI, vol. 11(13), pages 1-16, June.
    15. Bijwaard, G.E. & Jones, A.M., 2015. "Intelligence and the Mortality Difference by Education: Selection or mediation?," Health, Econometrics and Data Group (HEDG) Working Papers 15/07, HEDG, c/o Department of Economics, University of York.
    16. Xu Qin & Jonah Deutsch & Guanglei Hong, 2021. "Unpacking Complex Mediation Mechanisms And Their Heterogeneity Between Sites In A Job Corps Evaluation," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 40(1), pages 158-190, January.
    17. Helmut Farbmacher & Martin Huber & Lukáš Lafférs & Henrika Langen & Martin Spindler, 2022. "Causal mediation analysis with double machine learning [Mediation analysis via potential outcomes models]," The Econometrics Journal, Royal Economic Society, vol. 25(2), pages 277-300.
    18. Doerr Annabelle & Strittmatter Anthony, 2021. "Identifying Causal Channels of Policy Reforms with Multiple Treatments and Different Types of Selection," Journal of Econometric Methods, De Gruyter, vol. 10(1), pages 67-88, January.
    19. Ai, Hongshan & Tan, Xiaoqing, 2025. "The impact of exposure to pipeline gas connection during pregnancy on child development: Evidence from China," Journal of Environmental Economics and Management, Elsevier, vol. 133(C).
    20. Martin Huber & Mark Schelker & Anthony Strittmatter, 2019. "Direct and Indirect Effects based on Changes-in-Changes," Papers 1909.04981, arXiv.org, revised Oct 2019.
    21. Steinmayr, Andreas, 2014. "When a random sample is not random: Bounds on the effect of migration on household members left behind," Kiel Working Papers 1975, Kiel Institute for the World Economy.
    22. Bellani, Luna & Bia, Michela Gianna, 2017. "The Long-Run Impact of Childhood Poverty and the Mediating Role of Education," IZA Discussion Papers 10677, IZA Network @ LISER.
    23. Yingheng Zhang & Haojie Li & Gang Ren, 2025. "Ex-post evaluation of transport interventions with causal mediation analysis," Transportation, Springer, vol. 52(1), pages 93-126, February.
    24. Markus Frölich & Martin Huber, 2017. "Direct and indirect treatment effects–causal chains and mediation analysis with instrumental variables," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 79(5), pages 1645-1666, November.
    25. Prifti, Ervin & Daidone, Silvio & Davis, Benjamin, 2019. "Causal pathways of the productive impacts of cash transfers: Experimental evidence from Lesotho," World Development, Elsevier, vol. 115(C), pages 258-268.
    26. Takeshima, Hiroyuki & Houssou, Nazaire & Diao, Xinshen, 2018. "Effects of tractor ownership on returns-to-scale in agriculture: Evidence from maize in Ghana," Food Policy, Elsevier, vol. 77(C), pages 33-49.
    27. Martin Huber, 2016. "Disentangling policy effects into causal channels," World of Labour, LISER, pages 259-259, May.
    28. Fuad, Mohammad & Mohaghegh, Mohsen & Malhotra, Shavin, 2024. "Advantages of foreignness and accelerator selection: A study of foreign-born entrepreneurs," Journal of World Business, Elsevier, vol. 59(6).
    29. Guanglei Hong & Fan Yang & Xu Qin, 2023. "Posttreatment confounding in causal mediation studies: A cutting‐edge problem and a novel solution via sensitivity analysis," Biometrics, The International Biometric Society, vol. 79(2), pages 1042-1056, June.
    30. Hsu Yu-Chin & Huber Martin & Lai Tsung-Chih, 2019. "Nonparametric estimation of natural direct and indirect effects based on inverse probability weighting," Journal of Econometric Methods, De Gruyter, vol. 8(1), pages 1-20, January.
    31. Kee H. Chung & Choonsik Lee & Carl Hsin‐han Shen, 2020. "Passive blockholders, informational efficiency of prices, and firm value," Review of Financial Economics, John Wiley & Sons, vol. 38(3), pages 494-512, July.
    32. Martin Huber & Anna Solovyeva, 2020. "On the Sensitivity of Wage Gap Decompositions," Journal of Labor Research, Springer, vol. 41(1), pages 1-33, June.
    33. Mostafavi-Dehzooei, Mohammad H. & Heshmatpour, Masoumeh, 2024. "Cash Transfers, Time Discounting, and Agricultural Inputs Utilization in Lesotho," World Development, Elsevier, vol. 184(C).
    34. Anita Lindmark, 2022. "Sensitivity analysis for unobserved confounding in causal mediation analysis allowing for effect modification, censoring and truncation," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 31(4), pages 785-814, October.
    35. Seonho Shin, 2022. "Evaluating the Effect of the Matching Grant Program for Refugees: An Observational Study Using Matching, Weighting, and the Mantel-Haenszel Test," Journal of Labor Research, Springer, vol. 43(1), pages 103-133, March.
    36. Egger, Peter & ,, 2017. "Comparing Apples to Apples: Estimating Consistent Partial Effects of Preferential Economic Integration Agreements," CEPR Discussion Papers 11894, C.E.P.R. Discussion Papers.
    37. Tim Friehe & Markus Pannenberg, 2020. "Time preferences and political regimes: evidence from reunified Germany," Journal of Population Economics, Springer;European Society for Population Economics, vol. 33(1), pages 349-387, January.
    38. Emanuel Nussli & Simon Hediger & Meta-Lina Spohn & Marloes H. Maathuis, 2024. "The effect of a strict facial-mask policy on the spread of COVID-19 in Switzerland during the early phase of the pandemic," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 160(1), pages 1-20, December.
    39. Martin Huber & Kevin Kloiber & Lukas Laffers, 2024. "Testing identification in mediation and dynamic treatment models," Papers 2406.13826, arXiv.org.
    40. Hiroyuki Takeshima & Kamiljon Akramov & Allen Park & Jarilkasin Ilyasov & Tanzila Ergasheva, 2022. "Agriculture-Nutrition Linkages, Cooking-Time, Intrahousehold Equality Among Women and Children: Evidence from Tajikistan," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 34(2), pages 940-977, April.
    41. Vincenzo Atella & Edoardo Di Porto & Joanna Kopinska & Maarten Lindeboom, 2022. "Traumatic Experiences Adversely Affect Life Cycle Labor Market Outcomes of the Next Generation - Evidence from WWII Nazi Raids," CEIS Research Paper 549, Tor Vergata University, CEIS, revised 19 Dec 2022.
    42. Govert E. Bijwaard & Kieron J. Barclay, 2025. "Pathways from education to mortality, mediated through income," Health Economics, John Wiley & Sons, Ltd., vol. 34(1), pages 18-44, January.
    43. Gürtzgen, Nicole & Pohlan, Laura, 2024. "Do employers learn more from referrals than from other recruitment channels?," Labour Economics, Elsevier, vol. 89(C).
    44. Yikun Zhang & Yen-Chi Chen, 2025. "Doubly Robust Inference on Causal Derivative Effects for Continuous Treatments," Papers 2501.06969, arXiv.org, revised Apr 2025.
    45. Eva Deuchert & Martin Huber, 2017. "A Cautionary Tale About Control Variables in IV Estimation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(3), pages 411-425, June.

  57. Huber, Martin, 2014. "Sensitivity checks for the local average treatment effect," Economics Letters, Elsevier, vol. 123(2), pages 220-223.

    Cited by:

    1. Wüthrich, Kaspar, 2020. "A Comparison of Two Quantile Models With Endogeneity," University of California at San Diego, Economics Working Paper Series qt0q43931f, Department of Economics, UC San Diego.
    2. Huber Martin & Wüthrich Kaspar, 2019. "Local Average and Quantile Treatment Effects Under Endogeneity: A Review," Journal of Econometric Methods, De Gruyter, vol. 8(1), pages 1-27, January.
    3. Nicolas Apfel & Helmut Farbmacher & Rebecca Groh & Martin Huber & Henrika Langen, 2022. "Detecting Grouped Local Average Treatment Effects and Selecting True Instruments," Papers 2207.04481, arXiv.org, revised Oct 2023.
    4. Martin Huber, 2015. "Testing the Validity of the Sibling Sex Ratio Instrument," LABOUR, CEIS, vol. 29(1), pages 1-14, March.
    5. Huber, Martin & Wüthrich, Kaspar, 2017. "Evaluating local average and quantile treatment effects under endogeneity based on instruments: a review," FSES Working Papers 479, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    6. Ricardo E. Miranda, 2026. "On the falsification of instrumental variable models for heterogeneous treatment effects," Papers 2601.14464, arXiv.org.
    7. Sun, Zhenting & Wüthrich, Kaspar, 2025. "Pairwise valid instruments," Journal of Econometrics, Elsevier, vol. 250(C).
    8. Matthew A. Masten & Alexandre Poirier, 2018. "Salvaging Falsified Instrumental Variable Models," Papers 1812.11598, arXiv.org, revised Jan 2020.
    9. Claudia Noack, 2021. "Sensitivity of LATE Estimates to Violations of the Monotonicity Assumption," Papers 2106.06421, arXiv.org.

  58. Markus Frölich & Martin Huber, 2014. "Treatment Evaluation With Multiple Outcome Periods Under Endogeneity and Attrition," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 109(508), pages 1697-1711, December.
    See citations under working paper version above.
  59. Martin Huber & Giovanni Mellace, 2014. "Testing exclusion restrictions and additive separability in sample selection models," Empirical Economics, Springer, vol. 47(1), pages 75-92, August.

    Cited by:

    1. Kenza Elass, 2022. "The multiple dimensions of selection into employment," AMSE Working Papers 2219, Aix-Marseille School of Economics, France.
    2. Hermes, Henning & Krauß, Marina & Lergetporer, Philipp & Peter, Frauke & Wiederhold, Simon, 2022. "Early Child Care and Labor Supply of Lower-SES Mothers: A Randomized Controlled Trial," IZA Discussion Papers 15814, IZA Network @ LISER.
    3. Castagnetti, Carolina & Rosti, Luisa & Töpfer, Marina, 2018. "Discriminate me - if you can! The disappearance of the gender pay gap among public-contest selected employees," Discussion Papers 103, Friedrich-Alexander University Erlangen-Nuremberg, Chair of Labour and Regional Economics.
    4. Dante Contreras & Roberto Gillmore & Esteban Puentes, 2017. "Self‐Employment and Queues for Wage Work: Evidence from Chile," Journal of International Development, John Wiley & Sons, Ltd., vol. 29(4), pages 473-499, May.
    5. Masayuki Hirukawa & Di Liu & Irina Murtazashvili & Artem Prokhorov, 2023. "DS-HECK: double-lasso estimation of Heckman selection model," Empirical Economics, Springer, vol. 64(6), pages 3167-3195, June.
    6. Frölich, Markus & Huber, Martin, 2014. "Direct and Indirect Treatment Effects: Causal Chains and Mediation Analysis with Instrumental Variables," IZA Discussion Papers 8280, IZA Network @ LISER.
    7. Antonio Di Paolo & Aysit Tansel, 2019. "“English skills, labour market status and earnings of Turkish women”," AQR Working Papers 201901, University of Barcelona, Regional Quantitative Analysis Group, revised Jan 2019.
    8. World Bank, 2024. "Dominican Republic Gender Assessment [Diagnóstico Sobre Igualdad de Género en República Dominicana]," World Bank Publications - Reports 40915, The World Bank Group.
    9. Abby Alpert & David Powell, 2020. "Estimating Intensive And Extensive Tax Responsiveness," Economic Inquiry, Western Economic Association International, vol. 58(4), pages 1855-1873, October.
    10. Biewen, Martin & Fitzenberger, Bernd & Seckler, Matthias, 2020. "Counterfactual quantile decompositions with selection correction taking into account Huber/Melly (2015): An application to the German gender wage gap," Labour Economics, Elsevier, vol. 67(C).
    11. Liang, Qingquan & Zeng, Weihong & Yi, Lan, 2025. "Examining the wage gap between public and non-public sector in China: Insights from a robust quantile selection model," China Economic Review, Elsevier, vol. 92(C).
    12. Patrinos, Harry Anthony & Psacharopoulos, George & Tansel, Aysit, 2019. "Returns to Investment in Education: The Case of Turkey," IZA Discussion Papers 12238, IZA Network @ LISER.
    13. Maasoumi, Esfandiar & Wang, Le, 2017. "What can we learn about the racial gap in the presence of sample selection?," Journal of Econometrics, Elsevier, vol. 199(2), pages 117-130.
    14. Ahn, Soojung & Steinbach, Sandro, 2021. "COVID-19 Trade Actions in the Agricultural and Food Sector," Journal of Food Distribution Research, Food Distribution Research Society, vol. 52(2), July.
    15. Sergio Garbay & Raquel Barrera, 2021. "¿Mujeres en suelos pegajosos? Un análisis de la evolución de las distribuciones de ingresos laborales en Bolivia en el periodo 2011-2019," Revista Latinoamericana de Desarrollo Economico, Carrera de Economía de la Universidad Católica Boliviana (UCB), issue 36, pages 123-168.
    16. Grenet, Julien & Grönqvist, Hans & Niknami, Susan, 2025. "The effects of electronic monitoring on offenders and their families," Working Paper Series 2025:12, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    17. Dhamija, Gaurav & Roychowdhury, Punarjit, 2018. "The impact of women's age at marriage on own and spousal labor market outcomes in India: causation or selection?," MPRA Paper 86686, University Library of Munich, Germany.
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    19. Thomas Bolli & Katherine Caves & Maria Esther Oswald-Egg, 2021. "Valuable Experience: How University Internships Affect Graduates’ Income," Research in Higher Education, Springer;Association for Institutional Research, vol. 62(8), pages 1198-1247, December.
    20. Christian K. Darko & Kennedy K. Abrokwa, 2020. "Do you really need it? Educational mismatch and earnings in Ghana," Review of Development Economics, Wiley Blackwell, vol. 24(4), pages 1365-1392, November.
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    29. Andrew Beauchamp & Geoffrey Sanzenbacher & Shannon Seitz & Meghan Skira, 2014. "Deadbeat Dads," Boston College Working Papers in Economics 859, Boston College Department of Economics.
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    Cited by:

    1. Cabane, Charlotte & Hille, Adrian & Lechner, Michael, 2015. "Mozart or Pelé? The Effects of Teenagers' Participation in Music and Sports," IZA Discussion Papers 8987, IZA Network @ LISER.
    2. Lechner, Michael, 2019. "Modified Causal Forests for Estimating Heterogeneous Causal Effects," CEPR Discussion Papers 13430, C.E.P.R. Discussion Papers.
    3. Joanna Tyrowicz & Lucas van der Velde, 2019. "When the opportunity knocks: large structural shocks and gender wage gaps," Working Papers 379, Leibniz Institut für Ost- und Südosteuropaforschung (Leibniz Institute for East and Southeast European Studies).
    4. Cerqua, Augusto & Urwin, Peter & Thomson, Dave & Bibby, David, 2020. "Evaluation of education and training impacts for the unemployed: Challenges of new data," Labour Economics, Elsevier, vol. 67(C).
    5. Ardito, Chiara & Berton, Fabio & Pacelli, Lia & Zanatta, Marina, 2025. "The Effect of the End of Hiring Incentives on Job and Employment Security," IZA Discussion Papers 18024, IZA Network @ LISER.
    6. Huber, Martin, 2019. "An introduction to flexible methods for policy evaluation," FSES Working Papers 504, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    7. Hamidou Jawara, 2020. "Access to savings and household welfare evidence from a household survey in The Gambia," African Development Review, African Development Bank, vol. 32(2), pages 138-149, June.
    8. Cockx, Bart & Lechner, Michael & Bollens, Joost, 2023. "Priority to unemployed immigrants? A causal machine learning evaluation of training in Belgium," Labour Economics, Elsevier, vol. 80(C).
    9. Anthony Strittmatter & Conny Wunsch, 2025. "Labor market sorting and the gender pay gap revisited," Journal of Population Economics, Springer;European Society for Population Economics, vol. 38(3), pages 1-41, September.
    10. Cheung, Diana & Padieu, Ysaline, 2015. "Heterogeneity of the Effects of Health Insurance on Household Savings: Evidence from Rural China," World Development, Elsevier, vol. 66(C), pages 84-103.
    11. Julian Emmler & Bernd Fitzenberger, 2022. "Temporary overpessimism: Job loss expectations following a large negative employment shock," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 30(3), pages 621-661, July.
    12. Goller, Daniel & Lechner, Michael & Moczall, Andreas & Wolff, Joachim, 2019. "Does the estimation of the propensity score by machine learning improve matching estimation? The case of Germany’s programmes for long term unemployed," Economics Working Paper Series 1910, University of St. Gallen, School of Economics and Political Science.
    13. Lechner, Michael & Sari, Nazmi, 2014. "Labor market effects of sports and exercise: Evidence from Canadian panel data," Economics Working Paper Series 1402, University of St. Gallen, School of Economics and Political Science.
    14. Marco Caliendo & Stefan Tübbicke, 2020. "New evidence on long-term effects of start-up subsidies: matching estimates and their robustness," Empirical Economics, Springer, vol. 59(4), pages 1605-1631, October.
    15. Pawlowski, Tim & Steckenleiter, Carina & Wallrafen, Tim & Lechner, Michael, 2019. "Individual labor market effects of local public expenditures on sports," Economics Working Paper Series 1906, University of St. Gallen, School of Economics and Political Science.
    16. Adeola Oyenubi & Martin Wittenberg, 2021. "Does the choice of balance-measure matter under genetic matching?," Empirical Economics, Springer, vol. 61(1), pages 489-502, July.
    17. Michael Lechner & Jana Mareckova, 2024. "Comprehensive Causal Machine Learning," Papers 2405.10198, arXiv.org, revised Feb 2025.
    18. Pawlowski, Tim & Schüttoff, Ute & Downward, Paul & Lechner, Michael, 2014. "Sport participation and Child Development in Less Developed Countries," Economics Working Paper Series 1433, University of St. Gallen, School of Economics and Political Science.
    19. Lechner, Michael & Huber, Martin & Strittmatter, Anthony, 2015. "Direct and indirect effects of training vouchers for the unemployed," CEPR Discussion Papers 10650, C.E.P.R. Discussion Papers.
    20. Alan Fernihough, 2017. "Human capital and the quantity–quality trade-off during the demographic transition," Journal of Economic Growth, Springer, vol. 22(1), pages 35-65, March.
    21. Iqbal, Hamzah & Krumer, Alex, 2017. "Discouragement Effect and Intermediate Prizes in Multi-Stage Contests: Evidence from Tennis’s Davis Cup," Economics Working Paper Series 1719, University of St. Gallen, School of Economics and Political Science.
    22. Ballinari, Daniele, 2024. "Calibrating doubly-robust estimators with unbalanced treatment assignment," Economics Letters, Elsevier, vol. 241(C).
    23. Schmidl, Ricarda, 2015. "The Effectiveness of Early Vacancy Information in the Presence of Monitoring and ALMP," IZA Discussion Papers 9575, IZA Network @ LISER.
    24. Emmler, Julian & Fitzenberger, Bernd, 2020. "The role of unemployment and job change when estimating the returns to migration," IAB-Discussion Paper 202037, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    25. Lechner, Michael & Wunsch, Conny & Huber, Martin, 2013. "The effect of firms' partial retirement policies on the labour market outcomes of their employees," CEPR Discussion Papers 9574, C.E.P.R. Discussion Papers.
    26. Albanese, Andrea & Cockx, Bart & Thuy, Yannick, 2015. "Working Time Reductions at the End of the Career: Do They Prolong the Time Spent in Employment?," IZA Discussion Papers 9619, IZA Network @ LISER.
    27. Marloes Lammers & Lucy Kok, 2021. "Are active labor market policies (cost-)effective in the long run? Evidence from the Netherlands," Empirical Economics, Springer, vol. 60(4), pages 1719-1746, April.
    28. Emmler, Julian & Fitzenberger, Bernd, 2021. "Temporary overpessimism: Job loss expectations following a large negative employment shock," IAB-Discussion Paper 202105, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    29. Lechner, Michael & Scioch, Patrycja & Wunsch, Conny, 2013. "Do Firms Benefit from Active Labour Market Policies?," Working papers 2013/11, Faculty of Business and Economics - University of Basel.
    30. Lombardi, Stefano, 2019. "Threat effects of monitoring and unemployment insurance sanctions: evidence from two reforms," Working Paper Series 2019:22, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    31. Wunsch, Conny & Strobl, Renate, 2018. "Identification of Causal Mechanisms Based on Between-Subject Double Randomization Designs," IZA Discussion Papers 11626, IZA Network @ LISER.
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    33. Nora Bearth & Michael Lechner, 2024. "Causal Machine Learning for Moderation Effects," Papers 2401.08290, arXiv.org, revised Jan 2025.
    34. Pedro H. C. Sant'Anna & Xiaojun Song, 2016. "Specification Tests for the Propensity Score," Papers 1611.06217, arXiv.org, revised Feb 2019.
    35. Delius, Antonia & Sterck, Olivier, 2024. "Cash transfers and micro-enterprise performance: Theory and quasi-experimental evidence from Kenya," Journal of Development Economics, Elsevier, vol. 167(C).
    36. Jawid, Asadullah & Khadjavi, Menusch, 2019. "Adaptation to climate change in Afghanistan: Evidence on the impact of external interventions," Economic Analysis and Policy, Elsevier, vol. 64(C), pages 64-82.
    37. Farieta, Alejandro & Delprato, Marcos, 2024. "The effect of philosophy on critical reading: Evidence from initial teacher education in Colombia," International Journal of Educational Development, Elsevier, vol. 104(C).
    38. Münch, Florian Anselm & Scheifele, Fabian, 2023. "Nurturing national champions? Local content in solar auctions and firm innovation," Energy Policy, Elsevier, vol. 179(C).
    39. Feng, Tong & Lin, Zhongguo & Du, Huibin & Qiu, Yueming & Zuo, Jian, 2021. "Does low-carbon pilot city program reduce carbon intensity? Evidence from Chinese cities," Research in International Business and Finance, Elsevier, vol. 58(C).
    40. Martin Huber & Yu‐Chin Hsu & Ying‐Ying Lee & Layal Lettry, 2020. "Direct and indirect effects of continuous treatments based on generalized propensity score weighting," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(7), pages 814-840, November.
    41. Caliendo, Marco & Künn, Steffen & Weißenberger, Martin, 2016. "Personality Traits and the Evaluation of Start-Up Subsidies," IZA Discussion Papers 9628, IZA Network @ LISER.
    42. Li, Ming & Yang, Xu & Shangguan, Jade, 2025. "Executive environmental experience and corporate ESG performance: Evidence from Chinese listed companies," Finance Research Letters, Elsevier, vol. 83(C).
    43. Brändle, Tobias & Fervers, Lukas, 2018. "Give it Another Try: What are the Effects of a Job Creation Scheme Especially Designed for Hard-to-Place Workers?," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181536, Verein für Socialpolitik / German Economic Association.
    44. Adrian Hille & Jürgen Schupp, 2013. "How Learning a Musical Instrument Affects the Development of Skills," SOEPpapers on Multidisciplinary Panel Data Research 591, DIW Berlin, The German Socio-Economic Panel (SOEP).
    45. Ruud Gerards & Riccardo Welters, 2020. "Liquidity Constraints, Unemployed Job Search and Labour Market Outcomes," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(3), pages 625-646, June.
    46. Christina Felfe & Michael Lechner & Petra Thiemann, 2013. "After-School Care and Parents' Labor Supply," CESifo Working Paper Series 4487, CESifo.
    47. Huber, Martin & Mellace, Giovanni & Lechner, Michael, 2014. "Why do tougher caseworkers increase employment? The role of programme assignment as a causal mechanism," Economics Working Paper Series 1414, University of St. Gallen, School of Economics and Political Science.
    48. Sven Neelsen & Owen O'Donnell, 2017. "Progressive universalism? The impact of targeted coverage on health care access and expenditures in Peru," Health Economics, John Wiley & Sons, Ltd., vol. 26(12), pages 179-203, December.
    49. Cole, Matthew A. & Elliott, Robert J.R. & Okubo, Toshihiro & Zhang, Liyun, 2021. "Importing, outsourcing and pollution offshoring," Energy Economics, Elsevier, vol. 103(C).
    50. Robert J. R. Elliott & Liza Jabbour & Liyun Zhang, 2016. "Firm productivity and importing: Evidence from Chinese manufacturing firms," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 49(3), pages 1086-1124, August.
    51. L. Behrenz & L. Delander & J. Månsson, 2016. "Is Starting a Business a Sustainable way out of Unemployment? Treatment Effects of the Swedish Start-up Subsidy," Journal of Labor Research, Springer, vol. 37(4), pages 389-411, December.
    52. Kim, Jun Hyung & Koh, Yu Kyung & Park, Jinseong, 2021. "Mental Health Consequences of Working from Home during the Pandemic," GLO Discussion Paper Series 960, Global Labor Organization (GLO).
    53. Hoang-Tung, Nguyen & Linh, Hoang Thuy & Tan, Nguyen Viet & Kato, Hironori, 2025. "Traffic congestion and ride-hailing booking: Evidence from Hanoi, Vietnam," Journal of Transport Geography, Elsevier, vol. 129(C).
    54. Muñoz-Morales, Juan & Singh, Ruchi, 2023. "Do school shootings erode property values?," Regional Science and Urban Economics, Elsevier, vol. 98(C).
    55. Joseph Cummins & Brock Smith & Douglas L. Miller & David Eliot Simon, 2023. "Matching on Noise: Finite Sample Bias in the Synthetic Control Estimator," Working papers 2023-07, University of Connecticut, Department of Economics.
    56. Mergele, Lukas & Weber, Michael, 2020. "Public employment services under decentralization: Evidence from a natural experiment," Journal of Public Economics, Elsevier, vol. 182(C).
    57. Ganesh Karapakula, 2023. "Stable Probability Weighting: Large-Sample and Finite-Sample Estimation and Inference Methods for Heterogeneous Causal Effects of Multivalued Treatments Under Limited Overlap," Papers 2301.05703, arXiv.org, revised Jan 2023.
    58. Kenza Benhima & Omar Chafik & Min Fang & Wenxia Tang, 2022. "Short-term Finance, Long-term Effects: Theory and Evidence from Morocco," Working Papers 002003, University of Florida, Department of Economics.
    59. Abdellatif Chatri & Khadija Hadef & Naima Samoudi, 2021. "Micro-econometric evaluation of subsidized employment in morocco: the case of the "Idmaj" program," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 55(1), pages 1-13, December.
    60. Kandel, Pratikshya & Pandit, Ram & White, Benedict, 2024. "Impacts of buffer zone policy on household income: Evidence from Chitwan National Park, Nepal," Land Use Policy, Elsevier, vol. 146(C).
    61. Tamara Bischof & Boris Kaiser, 2019. "Who Cares When You Close Down? The Effects of Primary Care Practice Closures on Patients," Diskussionsschriften dp1907, Universitaet Bern, Departement Volkswirtschaft.
    62. Welters, Riccardo & Gerards, Ruud & Mellor, Kyran, 2024. "Homeownership, the unemployed and financial hardship," Journal of Housing Economics, Elsevier, vol. 64(C).
    63. Do Xuan Luan & Nguyen Thanh Vu & Kieu Thi Thu Huong & Duong Hang & Siegfried Bauer, 2016. "Is Access to Agribank Credit an Effective Tool in Improving Household Income? Evidence from the Northern Mountainous Region of Vietnam," Asian Social Science, Canadian Center of Science and Education, vol. 12(8), pages 110-110, August.
    64. Zhexiao Lin & Fang Han, 2022. "On regression-adjusted imputation estimators of the average treatment effect," Papers 2212.05424, arXiv.org, revised Jan 2023.
    65. Frölich, Markus & Huber, Martin, 2014. "Direct and Indirect Treatment Effects: Causal Chains and Mediation Analysis with Instrumental Variables," IZA Discussion Papers 8280, IZA Network @ LISER.
    66. Gerard J. van den Berg & Johan Vikström, 2022. "Long‐Run Effects of Dynamically Assigned Treatments: A New Methodology and an Evaluation of Training Effects on Earnings," Econometrica, Econometric Society, vol. 90(3), pages 1337-1354, May.
    67. Doerr, Annabelle, 2022. "Vocational training for female job returners - Effects on employment, earnings and job quality," Labour Economics, Elsevier, vol. 75(C).
    68. Huber, Martin & Lechner, Michael & Wunsch, Conny, 2014. "Workplace Health Promotion and Labour Market Performance of Employees," IZA Discussion Papers 8297, IZA Network @ LISER.
    69. Knaus, Michael C. & Lechner, Michael & Strittmatter, Anthony, 2018. "Machine Learning Estimation of Heterogeneous Causal Effects: Empirical Monte Carlo Evidence," IZA Discussion Papers 12039, IZA Network @ LISER.
    70. Adeola Oyenubi, "undated". "On sensitivity of Genetic Matching to the choice of balance measure," ERSA Working Paper Series v::y:2020:i::id:86, Economic Research Southern Africa.
    71. Michael Zimmert & Michael Lechner, 2019. "Nonparametric estimation of causal heterogeneity under high-dimensional confounding," Papers 1908.08779, arXiv.org.
    72. Yihui He & Fang Han, 2023. "On propensity score matching with a diverging number of matches," Papers 2310.14142, arXiv.org, revised Nov 2023.
    73. Lars Thiel, 2015. "Leave the Drama on the Stage: The Effect of Cultural Participation on Health," SOEPpapers on Multidisciplinary Panel Data Research 767, DIW Berlin, The German Socio-Economic Panel (SOEP).
    74. Emran,M. Shahe & Sun,Yan - GSP05, 2015. "Are the children of uneducated farmers doubly disadvantaged ? farm, nonfarm and intergenerational educational mobility in rural China," Policy Research Working Paper Series 7459, The World Bank.
    75. Pawlowski, Tim & Schüttoff, Ute & Downward, Paul & Lechner, Michael, 2014. "Children’s skill formation in less developed countries – The impact of sports participation," Economics Working Paper Series 1412, University of St. Gallen, School of Economics and Political Science.
    76. Hugo Bodory & Martin Huber & Michael Lechner, 2022. "The finite sample performance of instrumental variable-based estimators of the Local Average Treatment Effect when controlling for covariates," Papers 2212.07379, arXiv.org.
    77. Cohen-Zada, Danny & Krumer, Alex & Shapir, Offer Moshe, 2018. "Testing the effect of serve order in tennis tiebreak," Journal of Economic Behavior & Organization, Elsevier, vol. 146(C), pages 106-115.
    78. Lechner, Michael & Schünemann, Benjamin & Wunsch, Conny, 2013. "Do Long-term Unemployed Workers Benefit from Targeted Wage Subsidies?," Working papers 2013/14, Faculty of Business and Economics - University of Basel.
    79. van den Berg, Gerard J. & Vikström, Johan, 2019. "Long-Run Effects of Dynamically Assigned Treatments: A New Methodology and an Evaluation of Training Effects on Earnings," IZA Discussion Papers 12470, IZA Network @ LISER.
    80. Knaus, Michael C. & Lechner, Michael & Reimers, Anne K., 2020. "For better or worse? – The effects of physical education on child development," Labour Economics, Elsevier, vol. 67(C).
    81. Do Xuan Luan, 2015. "Microcredit and Poverty Reduction: A Case Study of Microfinance Fund for Community Development in Northern Vietnam," Journal of Agricultural Science, Canadian Center of Science and Education, vol. 7(8), pages 1-44, July.
    82. Hagemeier, Jan & Svejnar, Jan & Tyrowicz, Joanna, 2018. "Are Rushed Privatizations Substandard? Analyzing Firm-Level Privatization under Fiscal Pressure," IZA Discussion Papers 11517, IZA Network @ LISER.
    83. Frölich, Markus & Huber, Martin, 2014. "Treatment Evaluation with Multiple Outcome Periods under Endogeneity and Attrition," IZA Discussion Papers 7972, IZA Network @ LISER.
    84. Lombardi, Stefano & van den Berg, Gerard J. & Vikström, Johan, 2020. "Empirical Monte Carlo evidence on estimation of Timing-of-Events models," Working Paper Series 2020:26, IFAU - Institute for Evaluation of Labour Market and Education Policy, revised 05 Jan 2021.
    85. Advani, Arun & Kitagawa, Toru & Sloczynski, Tymon, 2019. "Mostly Harmless Simulations? Using Monte Carlo Studies for Estimator Selection," CAGE Online Working Paper Series 411, Competitive Advantage in the Global Economy (CAGE).
    86. Andrea Albanese & Bart Cockx, 2015. "Permanent Wage Cost Subsidies for Older Workers. An Effective Tool for Increasing Working Time and Postponing Early Retirement?," CESifo Working Paper Series 5301, CESifo.
    87. Adeola Oyenubi & Martin Wittenberg, "undated". "Does the choice of balance-measure matter under Genetic Matching?," ERSA Working Paper Series v::y:2020:i::id:114, Economic Research Southern Africa.
    88. Dusan Paredes & Timothy Komarek & Scott Loveridge, 2014. "Assessing the Income and Employment Effects of Shale Gas Extraction Windfalls: Evidence from the Marcellus Region," Documentos de Trabajo en Economia y Ciencia Regional 49, Universidad Catolica del Norte, Chile, Department of Economics, revised Mar 2014.
    89. Daly, Moira, 2015. "The long term returns of attempting self-employment with regular employment as a fall back option," Labour Economics, Elsevier, vol. 35(C), pages 26-52.
    90. Michael Lechner & Paul Downward, 2013. "Heterogeneous Sports Participation and Labour Market Outcomes in England," CESifo Working Paper Series 4434, CESifo.
    91. Marco Caliendo & Stefan Tübbicke, 2019. "Do Start-Up Subsidies for the Unemployed Affect Participants’ Well-Being? A Rigorous Look at (Un-)Intended Consequences of Labor Market Policies," CEPA Discussion Papers 14, Center for Economic Policy Analysis.
    92. Bellmann, Lutz & Caliendo, Marco & Tübbicke, Stefan, 2017. "The Post-Reform Effectiveness of the New German Start-Up Subsidy for the Unemployed," IZA Discussion Papers 11055, IZA Network @ LISER.
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    95. Caliendo, Marco & Mahlstedt, Robert & Mitnik, Oscar A., 2014. "Unobservable, but Unimportant? The Influence of Personality Traits (and Other Usually Unobserved Variables) for the Evaluation of Labor Market Policies," IZA Discussion Papers 8337, IZA Network @ LISER.
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    100. Emmler, Julian & Fitzenberger, Bernd, 2020. "The Role of Unemployment and Job Change When Estimating the Returns to Migration," IZA Discussion Papers 13740, IZA Network @ LISER.
    101. Sandra M. Sánchez‐Cañizares & L. Javier Cabeza‐Ramírez & M. Dolores Guerrero‐Baena, 2020. "Evaluation of self‐employment support policies using survival analysis. The discounted flat rate in Andalusia (Spain)," Papers in Regional Science, Wiley Blackwell, vol. 99(5), pages 1389-1411, October.
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    104. Advani, Arun & Sloczynski, Tymon, 2013. "Mostly Harmless Simulations? On the Internal Validity of Empirical Monte Carlo Studies," IZA Discussion Papers 7874, IZA Network @ LISER.
    105. Strittmatter, Anthony & Lechner, Michael, 2020. "Sorting in the used-car market after the Volkswagen emission scandal," Journal of Environmental Economics and Management, Elsevier, vol. 101(C).
    106. Erlend E. Bø & Elin Halvorsen & Thor O. Thoresen, 2016. "Heterogeneity of the Carnegie Effect," Discussion Papers 853, Statistics Norway, Research Department.
    107. Mörk, Eva & Ottosson, Lillit & Vikman, Ulrika, 2021. "To work or not to work? Effects of temporary public employment on future employment and benefits," Working Paper Series 2021:12, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    108. Frölich, Markus & Huber, Martin & Wiesenfarth, Manuel, 2015. "The Finite Sample Performance of Semi- and Nonparametric Estimators for Treatment Effects and Policy Evaluation," IZA Discussion Papers 8756, IZA Network @ LISER.
    109. Krumer, Alex & Lechner, Michael, 2017. "First in first win: Evidence on schedule effects in round-robin tournaments in mega-events," European Economic Review, Elsevier, vol. 100(C), pages 412-427.
    110. Brajaraja Mishra, 2019. "Households’ attitude about ecosystem conservation after implementation of the Forest Rights Act, 2006, in Lakhari Valley Wildlife Sanctuary, India," Journal of Social and Economic Development, Springer;Institute for Social and Economic Change, vol. 21(1), pages 1-23, June.
    111. Doerr, Annabelle, 2017. "Back to work: The Long-term Effects of Vocational Training for Female Job Returners," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168213, Verein für Socialpolitik / German Economic Association.
    112. Siying Guo & Jianxuan Liu & Qiu Wang, 2022. "Effective Learning During COVID-19: Multilevel Covariates Matching and Propensity Score Matching," Annals of Data Science, Springer, vol. 9(5), pages 967-982, October.
    113. Bertoni, Fabio & Colombo, Massimo G. & Quas, Anita, 2023. "The long-term effects of loan guarantees on SME performance," Journal of Corporate Finance, Elsevier, vol. 80(C).
    114. Grenet, Julien & Grönqvist, Hans & Niknami, Susan, 2025. "The effects of electronic monitoring on offenders and their families," Working Paper Series 2025:12, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    115. Jeffrey Smith & Arthur Sweetman, 2016. "Viewpoint: Estimating the causal effects of policies and programs," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 49(3), pages 871-905, August.
    116. Feng, Tong & Wang, Xiaomin & Wang, Nan & Ma, Jie & Chen, Zhenni & Tu, Qiang & Li, Qun, 2025. "Do low-carbon city pilots promote carbon equality? From the perspective of regional fairness," Structural Change and Economic Dynamics, Elsevier, vol. 74(C), pages 1-13.
    117. Wunsch, Conny & Strobl, Renate, 2018. "Does Voluntary Risk Taking Affect Solidarity? Experimental Evidence from Kenya," CEPR Discussion Papers 12996, C.E.P.R. Discussion Papers.
    118. Cabane, Charlotte & Hille, Adrian & Lechner, Michael, 2016. "Mozart or Pelé? The effects of adolescents' participation in music and sports," Labour Economics, Elsevier, vol. 41(C), pages 90-103.
    119. Pohlan, Laura, 2019. "Unemployment and social exclusion," Journal of Economic Behavior & Organization, Elsevier, vol. 164(C), pages 273-299.
    120. Felfe, Christina & Lechner, Michael & Steinmayr, Andreas, 2016. "Sports and Child Development," Munich Reprints in Economics 37862, University of Munich, Department of Economics.
    121. Emmler, Julian & Fitzenberger, Bernd, 2021. "Temporary Overpessimism: Job Loss Expectations Following a Large Negative Employment Shock," IZA Discussion Papers 14149, IZA Network @ LISER.
    122. 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.
    123. Jaana Rahko, 2016. "Internationalization of corporate R&D activities and innovation performance," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 25(6), pages 1019-1038.
    124. Salm, Martin & Siflinger, Bettina & Xie, Mingjia, 2021. "The Effect of Retirement on Mental Health: Indirect Treatment Effects and Causal Mediation," Other publications TiSEM e28efa7f-8219-437c-a26d-2, Tilburg University, School of Economics and Management.
    125. Paredes, Dusan & Komarek, Timothy & Loveridge, Scott, 2015. "Income and employment effects of shale gas extraction windfalls: Evidence from the Marcellus region," Energy Economics, Elsevier, vol. 47(C), pages 112-120.
    126. Tobias Brändle & Lukas Fervers, 2017. "Give it Another Try: What are the Effects of a Public Employment Scheme Especially Designed for Hard-to-Place Workers?," IAW Discussion Papers 129, Institut für Angewandte Wirtschaftsforschung (IAW).
    127. Krumer, Alex & Lechner, Michael, 2016. "Midweek Effect on Performance: Evidence from the German Soccer Bundesliga," Economics Working Paper Series 1609, University of St. Gallen, School of Economics and Political Science.
    128. Lechner, Michael & Strittmatter, Anthony, 2017. "Practical Procedures to Deal with Common Support Problems in Matching Estimation," IZA Discussion Papers 10532, IZA Network @ LISER.
    129. Huber, Martin & Lechner, Michael & Steinmayr, Andreas, 2012. "Radius matching on the propensity score with bias adjustment: finite sample behaviour, tuning parameters and software implementation," Economics Working Paper Series 1226, University of St. Gallen, School of Economics and Political Science.
    130. Hajime Seya & Takahiro Yoshida, 2017. "Propensity score matching for multiple treatment levels: A CODA-based contribution," Papers 1710.08558, arXiv.org.
    131. Sisira Sarma & Nirav Mehta & Rose Anne Devlin & Koffi Ahoto Kpelitse & Lihua Li, 2018. "Family physician remuneration schemes and specialist referrals: Quasi‐experimental evidence from Ontario, Canada," Health Economics, John Wiley & Sons, Ltd., vol. 27(10), pages 1533-1549, October.
    132. Doerr, Annabelle, 2022. "Vocational Training for Female Job Returners - Effects on Employment, Earnings and Job Quality," Working papers 2022/02, Faculty of Business and Economics - University of Basel.
    133. Lechner, Michael & Hille, Adrian & Cabane, Charlotte, 2015. "Mozart or Pelé? The effects of teenagers? participation in music and sports," CEPR Discussion Papers 10556, C.E.P.R. Discussion Papers.
    134. Tim Pawlowski & Ute Schüttoff & Paul Downward & Michael Lechner, 2018. "Can Sport Really Help to Meet the Millennium Development Goals? Evidence From Children in Peru," Journal of Sports Economics, , vol. 19(4), pages 498-521, May.
    135. Marco Caliendo & Steffen Künn, 2015. "Getting back into the labor market: the effects of start-up subsidies for unemployed females," Journal of Population Economics, Springer;European Society for Population Economics, vol. 28(4), pages 1005-1043, October.
    136. Shen, Binchao, 2025. "Intermediated trade and innovation," Journal of Economic Behavior & Organization, Elsevier, vol. 229(C).
    137. Lietzmann, Torsten & Schmelzer, Paul & Wiemers, Jürgen, 2017. "Marginal employment for welfare recipients: stepping stone or obstacle?," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 31(4), pages 394-414.
    138. Sari, Nazmi & Lechner, Michael, 2015. "Long-run health effects of sports and exercise in Canada," Economics Working Paper Series 1520, University of St. Gallen, School of Economics and Political Science.
    139. Andrew M. Jones & James Lomas & Peter T. Moore & Nigel Rice, 2016. "A quasi-Monte-Carlo comparison of parametric and semiparametric regression methods for heavy-tailed and non-normal data: an application to healthcare costs," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 179(4), pages 951-974, October.
    140. Marilena Furno & Francesco Caracciolo, 2020. "Multi-valued Double Robust quantile treatment effect," Empirical Economics, Springer, vol. 58(5), pages 2545-2571, May.
    141. Kathrine Graevenitz & Daniel Römer & Alexander Rohlf, 2018. "The Effect of Emission Information on Housing Prices: Quasi-Experimental Evidence from the European Pollutant Release and Transfer Register," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 69(1), pages 23-74, January.
    142. Houda Mazhoud & Fraj Chemak & Hatem Belhouchette & Roza Chenoune, 2022. "A Bio-Economic Model for Improving Irrigated Durum Wheat Performance and Regional Profits under Mediterranean Conditions," Agriculture, MDPI, vol. 12(5), pages 1-25, April.
    143. Ongena, Steven & Conlon, Thomas & Huan, Xing, 2020. "Operational Risk Capital," CEPR Discussion Papers 15096, C.E.P.R. Discussion Papers.
    144. Torsten Lietzmann & Paul Schmelzer & Jürgen Wiemers, 2017. "Marginal employment for welfare recipients: stepping stone or obstacle?," LABOUR, CEIS, vol. 31(4), pages 394-414, December.
    145. Yan, Ji, 2022. "Is WIC effective in improving pregnancy-related outcomes? An empirical reassessment," Economics & Human Biology, Elsevier, vol. 47(C).
    146. Bodory, Hugo & Camponovo, Lorenzo & Huber, Martin & Lechner, Michael, 2016. "The Finite Sample Performance of Inference Methods for Propensity Score Matching and Weighting Estimators," IZA Discussion Papers 9706, IZA Network @ LISER.
    147. Vanessa Ress & Eva‐Maria Wild, 2024. "The impact of integrated care on health care utilization and costs in a socially deprived urban area in Germany: A difference‐in‐differences approach within an event‐study framework," Health Economics, John Wiley & Sons, Ltd., vol. 33(2), pages 229-247, February.
    148. Daniele Ballinari & Nora Bearth, 2024. "Improving the Finite Sample Estimation of Average Treatment Effects using Double/Debiased Machine Learning with Propensity Score Calibration," Papers 2409.04874, arXiv.org, revised Jan 2025.
    149. Anže Burger & Jochen Kluve & Milan Vodopivec & Matija Vodopivec, 2022. "A comprehensive impact evaluation of active labour market programmes in Slovenia," Empirical Economics, Springer, vol. 62(6), pages 3015-3039, June.
    150. Krumer, Alex & Lechner, Michael, 2016. "First In First Win: Evidence on Unfairness of Round-Robin Tournaments in Mega-Events," Economics Working Paper Series 1611, University of St. Gallen, School of Economics and Political Science.
    151. Ellen B. Goldring & Melissa A. Clark & Mollie Rubin & Laura K. Rogers & Jason A. Grissom & Brian Gill & Tim Kautz & Moira McCullough & Michael Neel & Alyson Burnett, "undated". "Changing the Principal Supervisor Role to Better Support Principals: Evidence from the Principal Supervisor Initiative," Mathematica Policy Research Reports 29303291d5a945e1a772aa529, Mathematica Policy Research.
    152. Pedro H. C. Sant'Anna, 2016. "Program Evaluation with Right-Censored Data," Papers 1604.02642, arXiv.org.
    153. Caliendo, Marco & Mahlstedt, Robert & Mitnik, Oscar, 2014. "Unobservable, but Unimportant? The Influence of Personality Traits (and Other Usually Unobserved Variables) for the Estimation of Treatment Effects," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100502, Verein für Socialpolitik / German Economic Association.
    154. Farid Gasmi & Dorgyles C. M. Kouakou & Maruf Sanni, 2025. "Firms' sustainable and responsible innovation in Nigeria: Does informality play a role?," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 33(1), pages 139-164, January.
    155. Tübbicke Stefan, 2022. "Entropy Balancing for Continuous Treatments," Journal of Econometric Methods, De Gruyter, vol. 11(1), pages 71-89, January.
    156. Riccardo Di Francesco, 2022. "Aggregation Trees," CEIS Research Paper 546, Tor Vergata University, CEIS, revised 20 Nov 2023.
    157. Heiler, Phillip & Kazak, Ekaterina, 2021. "Valid inference for treatment effect parameters under irregular identification and many extreme propensity scores," Journal of Econometrics, Elsevier, vol. 222(2), pages 1083-1108.
    158. Black, Dan A. & Joo, Joonhwi & LaLonde, Robert & Smith, Jeffrey A. & Taylor, Evan J., 2022. "Simple Tests for Selection: Learning More from Instrumental Variables," Labour Economics, Elsevier, vol. 79(C).
    159. Lin, Zhexiao & Han, Fang, 2025. "On regression-adjusted imputation estimators of average treatment effects," Journal of Econometrics, Elsevier, vol. 251(C).
    160. Pedersen, Morten Saaby & Arendt, Jacob Nielsen, 2014. "Bargaining for health: A case study of a collective agreement-based health program for manual workers," Journal of Health Economics, Elsevier, vol. 37(C), pages 123-136.
    161. Susan Athey & Guido W. Imbens & Jonas Metzger & Evan M. Munro, 2019. "Using Wasserstein Generative Adversarial Networks for the Design of Monte Carlo Simulations," NBER Working Papers 26566, National Bureau of Economic Research, Inc.
    162. Alauddin, Mohammad & Rashid Sarker, Md. Abdur & Islam, Zeenatul & Tisdell, Clement, 2020. "Adoption of alternate wetting and drying (AWD) irrigation as a water-saving technology in Bangladesh: Economic and environmental considerations," Land Use Policy, Elsevier, vol. 91(C).
    163. Rotar Laura Južnik, 2018. "The Effects of Expenditures for Labour Market Policy on Unemployment Rate," Business Systems Research, Sciendo, vol. 9(1), pages 55-64, March.
    164. Seonho Shin, 2022. "Evaluating the Effect of the Matching Grant Program for Refugees: An Observational Study Using Matching, Weighting, and the Mantel-Haenszel Test," Journal of Labor Research, Springer, vol. 43(1), pages 103-133, March.
    165. Gasmi, Farid & Kouakou, Dorgyles & Sanni, Maruf, 2022. "The effect of firm informality on sustainable and responsible innovation in developing countries: Evidence from Nigeria," TSE Working Papers 22-1368, Toulouse School of Economics (TSE).
    166. Goller, Daniel & Krumer, Alex, 2019. "Let’s meet as usual: Do games on non-frequent days differ? Evidence from top European soccer leagues," Economics Working Paper Series 1907, University of St. Gallen, School of Economics and Political Science.
    167. Denisova-Schmidt, Elena & Huber, Martin, 2014. "Regional Differences in Perceived Corruption among Ukrainian Firms," Economics Working Paper Series 1407, University of St. Gallen, School of Economics and Political Science.
    168. Conlon, Thomas & Huan, Xing, 2019. "Scaling the twin peaks: Systemic risk and dual regulation," Economics Letters, Elsevier, vol. 178(C), pages 98-101.
    169. Michael Lechner & Jana Mareckova, 2022. "Modified Causal Forest," Papers 2209.03744, arXiv.org.
    170. Morikawa, So & Aoyama, Miwa & Kato, Hironori, 2023. "Development of railway station plazas: Impact on land prices of surrounding areas," Transport Policy, Elsevier, vol. 142(C), pages 1-14.
    171. Ottosson, Lillit & Vikman, Ulrika, 2025. "Bilingual caseworkers and on-the-job training: A pathway to integration?," Working Paper Series 2025:9, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    172. Michael C. Knaus, 2024. "Treatment Effect Estimators as Weighted Outcomes," Papers 2411.11559, arXiv.org, revised Dec 2024.
    173. Simon Calmar Andersen & Louise Beuchert & Phillip Heiler & Helena Skyt Nielsen, 2023. "A Guide to Impact Evaluation under Sample Selection and Missing Data: Teacher's Aides and Adolescent Mental Health," Papers 2308.04963, arXiv.org.
    174. Lin, Chin-Ho & Chen, Yiting & Chang, Kuo-I. & Chi, Pei-Yu, 2025. "The evaluation of economic impact of the Basel Convention on the trade of waste electrical and electronic equipment," Journal of Asian Economics, Elsevier, vol. 100(C).
    175. Lechner, Michael, 2013. "Treatment effects and panel data," Economics Working Paper Series 1314, University of St. Gallen, School of Economics and Political Science.
    176. Joanna Tyrowicz & Lucas Augusto van der Velde, 2021. "When Opportunity Knocks: Confronting Theory and Empirics About Dynamics of Gender Wage Inequality," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 155(3), pages 837-864, June.
    177. Michael C. Knaus, 2021. "A double machine learning approach to estimate the effects of musical practice on student’s skills," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(1), pages 282-300, January.
    178. Riccardo Di Francesco, 2024. "Aggregation Trees," Papers 2410.11408, arXiv.org, revised Oct 2025.
    179. Baillon, Aurélien & Capuno, Joseph & O'Donnell, Owen & Tan, Carlos Antonio & van Wilgenburg, Kim, 2022. "Persistent effects of temporary incentives: Evidence from a nationwide health insurance experiment," Journal of Health Economics, Elsevier, vol. 81(C).
    180. Iqbal, Hamzah & Krumer, Alex, 2019. "Discouragement effect and intermediate prizes in multi-stage contests: Evidence from Davis Cup," European Economic Review, Elsevier, vol. 118(C), pages 364-381.
    181. Diana Cheung & Ysaline Padieu, 2013. "Heterogeneity of the effects of health insurance on household savings: Evidence from rural China," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00848061, HAL.
    182. Gasmi, Farid & Berté, Isacco & Demoury, Louise & Kouakou, Dorgyles & Patzig, Niklas & Recuero Virto, Laura, 2024. "The privatization-corruption relationship is nonlinear: Evidence from 1985-2022 data on telecommunications in 103 countries," TSE Working Papers 24-1523, Toulouse School of Economics (TSE).
    183. Black, Dan A. & Joo, Joonhwi & LaLonde, Robert J. & Smith, Jeffrey A. & Taylor, Evan J., 2015. "Simple Tests for Selection Bias: Learning More from Instrumental Variables," IZA Discussion Papers 9346, IZA Network @ LISER.
    184. Huber, Martin & Mellace, Giovanni & Lechner, Michael, 2014. "The finite sample performance of estimators for mediation analysis under sequential conditional independence," Economics Working Paper Series 1415, University of St. Gallen, School of Economics and Political Science, revised Nov 2014.
    185. Nadja van ’t Hoff & Arthur Lewbel & Giovanni Mellace, 2023. "Limited Monotonicity and the Combined Compliers LATE," Boston College Working Papers in Economics 1059, Boston College Department of Economics, revised 20 Jan 2025.
    186. Cohen-Zada, Danny & Krumer, Alex & Shapir, Offer Moshe, 2017. "Take a Chance on ABBA," IZA Discussion Papers 10878, IZA Network @ LISER.
    187. Bruno Ferman, 2019. "Matching Estimators with Few Treated and Many Control Observations," Papers 1909.05093, arXiv.org, revised Mar 2021.
    188. Bazzi, Samuel & Sumarto, Sudarno & Suryahadi, Asep, 2015. "It's all in the timing: Cash transfers and consumption smoothing in a developing country," Journal of Economic Behavior & Organization, Elsevier, vol. 119(C), pages 267-288.
    189. Gabriel Okasa, 2022. "Meta-Learners for Estimation of Causal Effects: Finite Sample Cross-Fit Performance," Papers 2201.12692, arXiv.org.
    190. Pinar Mine GUNES & Magda TSANEVA, 2020. "The Effects of Teenage Childbearing on Education, Physical Health, and Mental Distress: Evidence from Mexico," JODE - Journal of Demographic Economics, Cambridge University Press, vol. 86(2), pages 183-206, June.
    191. Michel F. C. Haddad & Martin Huber & Jos'e Eduardo Medina-Reyes & Lucas Z. Zhang, 2024. "Difference-in-Differences with Time-varying Continuous Treatments using Double/Debiased Machine Learning," Papers 2410.21105, arXiv.org, revised Jan 2026.
    192. Diana Cheung & Ysaline Padieu, 2013. "Heterogeneity of the effects of health insurance on household savings: Evidence from rural China," Documents de travail du Centre d'Economie de la Sorbonne 13056, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    193. Krzysztof Gajowniczek & Tomasz Ząbkowski, 2018. "Simulation Study on Clustering Approaches for Short-Term Electricity Forecasting," Complexity, Hindawi, vol. 2018, pages 1-21, April.
    194. Solmaria Halleck Vega & J. Paul Elhorst, 2015. "The Slx Model," Journal of Regional Science, Wiley Blackwell, vol. 55(3), pages 339-363, June.
    195. Alex Krumer & Michael Lechner, 2018. "Midweek Effect On Soccer Performance: Evidence From The German Bundesliga," Economic Inquiry, Western Economic Association International, vol. 56(1), pages 193-207, January.
    196. Słoczyński, Tymon, 2013. "The Oaxaca–Blinder Unexplained Component as a Treatment Effects Estimator," MPRA Paper 50660, University Library of Munich, Germany.
    197. Shu Yang & Guido W. Imbens & Zhanglin Cui & Douglas E. Faries & Zbigniew Kadziola, 2016. "Propensity score matching and subclassification in observational studies with multi‐level treatments," Biometrics, The International Biometric Society, vol. 72(4), pages 1055-1065, December.
    198. Céline Odding & Lucy Kok & Lennart Kroon & Marloes Lammers, 2024. "From Unemployed to Self-Employed: Analysis of Treatment Effects of a Dutch Self-Employment Programme," De Economist, Springer, vol. 172(1), pages 49-99, March.

  62. Martin Huber, 2012. "Identification of Average Treatment Effects in Social Experiments Under Alternative Forms of Attrition," Journal of Educational and Behavioral Statistics, , vol. 37(3), pages 443-474, June.

    Cited by:

    1. Bodory, Hugo & Huber, Martin, 2018. "The causalweight package for causal inference in R," FSES Working Papers 493, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    2. Hans Fricke & Markus Frölich & Martin Huber & Michael Lechner, 2020. "Endogeneity and non‐response bias in treatment evaluation – nonparametric identification of causal effects by instruments," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(5), pages 481-504, August.
    3. Martin Huber & Anna Solovyeva, 2020. "Direct and Indirect Effects under Sample Selection and Outcome Attrition," Econometrics, MDPI, vol. 8(4), pages 1-25, December.
    4. Huber, Martin, 2012. "Identifying causal mechanisms in experiments (primarily) based on inverse probability weighting," Economics Working Paper Series 1213, University of St. Gallen, School of Economics and Political Science, revised May 2013.
    5. Michela Bia & Martin Huber & Luk'av{s} Laff'ers, 2020. "Double machine learning for sample selection models," Papers 2012.00745, arXiv.org, revised Jul 2021.
    6. Sianesi, Barbara, 2017. "Evidence of randomisation bias in a large-scale social experiment: The case of ERA," Journal of Econometrics, Elsevier, vol. 198(1), pages 41-64.
    7. Frölich, Markus & Huber, Martin, 2014. "Treatment Evaluation with Multiple Outcome Periods under Endogeneity and Attrition," IZA Discussion Papers 7972, IZA Network @ LISER.
    8. Dalia Ghanem & Sarojini Hirshleifer & D'esir'e K'edagni & Karen Ortiz-Becerra, 2022. "Correcting Attrition Bias using Changes-in-Changes," Papers 2203.12740, arXiv.org, revised Mar 2024.
    9. Rahul Singh, 2021. "Generalized Kernel Ridge Regression for Causal Inference with Missing-at-Random Sample Selection," Papers 2111.05277, arXiv.org.
    10. Fabrizia Mealli & Barbara Pacini & Elena Stanghellini, 2016. "Identification of Principal Causal Effects Using Additional Outcomes in Concentration Graphs," Journal of Educational and Behavioral Statistics, , vol. 41(5), pages 463-480, October.
    11. Huber, Martin & Lechner, Michael & Steinmayr, Andreas, 2012. "Radius matching on the propensity score with bias adjustment: finite sample behaviour, tuning parameters and software implementation," Economics Working Paper Series 1226, University of St. Gallen, School of Economics and Political Science.
    12. Xiaolin Sun & Xueyan Zhao & D. S. Poskitt, 2024. "Partially Identified Heterogeneous Treatment Effect with Selection: An Application to Gender Gaps," Papers 2410.01159, arXiv.org, revised Oct 2024.
    13. Heng Chen & Geoffrey R. Dunbar & Rallye Shen, 2017. "The Mode is the Message: Using Predata as Exclusion Restrictions to Evaluate Survey Design," Staff Working Papers 17-43, Bank of Canada.
    14. Barbara Sianesi, 2013. "Dealing with randomisation bias in a social experiment exploiting the randomisation itself: the case of ERA," IFS Working Papers W13/15, Institute for Fiscal Studies.
    15. Simon Calmar Andersen & Louise Beuchert & Phillip Heiler & Helena Skyt Nielsen, 2023. "A Guide to Impact Evaluation under Sample Selection and Missing Data: Teacher's Aides and Adolescent Mental Health," Papers 2308.04963, arXiv.org.
    16. Barbara Sianesi, 2014. "Dealing with randomisation bias in a social experiment: the case of ERA," IFS Working Papers W14/10, Institute for Fiscal Studies.

  63. Martin Huber & Michael Lechner & Conny Wunsch, 2011. "Does leaving welfare improve health? Evidence for Germany," Health Economics, John Wiley & Sons, Ltd., vol. 20(4), pages 484-504, April.
    See citations under working paper version above.
  64. Martin Huber & Michael Lechner & Conny Wunsch & Thomas Walter, 2011. "Do German Welfare‐to‐Work Programmes Reduce Welfare Dependency and Increase Employment?," German Economic Review, Verein für Socialpolitik, vol. 12(2), pages 182-204, May.

    Cited by:

    1. Matsumoto, Kodai, 2022. "The effects of employment support programs on public assistance recipients: The case of a Japanese municipality program," Journal of the Japanese and International Economies, Elsevier, vol. 63(C).
    2. Ivanov, Boris & Pfeiffer, Friedhelm & Pohlan, Laura, 2020. "Do job creation schemes improve the social integration and well-being of the long-term unemployed?," Labour Economics, Elsevier, vol. 64(C).
    3. Maria Luisa Maitino & Marco Mariani & Valentina Patacchini & Letizia Ravagli & Nicola Sciclone, 2024. "The Employment Effects of the Italian Minimum Guaranteed Income Scheme Reddito di Cittadinanza," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 10(2), pages 649-681, July.
    4. Katrin Hohmeyer, 2011. "Effectiveness of One-Euro-Jobs: Do programme characteristics matter?," Post-Print hal-00719485, HAL.
    5. Regina T. Riphahn & Christoph Wunder, 2015. "State Dependence in Welfare Receipt: Transitions before and after a Reform," SOEPpapers on Multidisciplinary Panel Data Research 758, DIW Berlin, The German Socio-Economic Panel (SOEP).
    6. Dengler, Katharina, 2013. "Effectiveness of sequences of One-Euro-Jobs : is it better to do more One-Euro-Jobs or to wait?," IAB-Discussion Paper 201316, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    7. Butschek, Sebastian & Walter, Thomas, 2013. "What active labour market programmes work for immigrants in Europe? A meta-analysis of the evaluation literature," ZEW Discussion Papers 13-056, ZEW - Leibniz Centre for European Economic Research.
    8. Wapler, Rüdiger & Wolf, Katja & Wolff, Joachim, 2018. "Do active labour market policies for welfare recipients in Germany raise their regional outflow into work? : A matching function approach," IAB-Discussion Paper 201808, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    9. Dengler, Katharina, 2015. "Effectiveness of Sequences of Classroom Training for Welfare Recipients: What works best in West Germany?," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113119, Verein für Socialpolitik / German Economic Association.
    10. Hohmeyer, Katrin & Wolff, Joachim, 2015. "Selektivität von Ein-Euro-Job-Ankündigungen," IAB-Forschungsbericht 201502, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    11. Stefan Tübbicke, 2023. "How sensitive are matching estimates of active labor market policy effects to typically unobserved confounders?," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 57(1), pages 1-16, December.
    12. Walter, Thomas & Butschek, Sebastian, 2013. "What Active Labour Market Programmes Work for Immigrants in Europe?," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79745, Verein für Socialpolitik / German Economic Association.
    13. Lukas Fervers, 2016. "Fast track to the labour market or highway to hell? The effect of activation policies on quantity and quality of labour market integration," IAW Discussion Papers 125, Institut für Angewandte Wirtschaftsforschung (IAW).
    14. Di Pietro Giorgio, 2025. "Labour market effects of training programmes in the EU. Findings and policy lessons from a meta-analysis," JRC Research Reports JRC142871, Joint Research Centre.
    15. Andreas Knabe & Ronnie Schöb & Joachim Weimann, 2015. "The Subjective Well-Being of Workfare Participants: Insights from a Day Reconstruction Survey," CESifo Working Paper Series 5396, CESifo.
    16. Joachim Wolff & Gesine Stephan, 2013. "Subsidized work before and after the German Hartz reforms: design of major schemes, evaluation results and lessons learnt," IZA Journal of Labor Policy, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 2(1), pages 1-24, December.
    17. Stephan L. Thomsen & Thomas Walter, 2010. "Temporary Extra Jobs for Immigrants: Merging Lane to Employment or Dead‐End Road in Welfare?," LABOUR, CEIS, vol. 24(s1), pages 114-140, December.
    18. Tobias Brändle & Lukas Fervers, 2021. "Give it Another Try: What are the Effects of a Job Creation Scheme Especially Designed for Hard-to-Place Workers?," Journal of Labor Research, Springer, vol. 42(3), pages 382-417, December.

  65. Martin Huber, 2011. "Testing for covariate balance using quantile regression and resampling methods," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(12), pages 2881-2899, February.
    See citations under working paper version above.

Software components

  1. Martin Huber & Michael Lechner & Andreas Steinmayr, 2012. "RADIUSMATCH: Stata module to perform distance-weighted radius matching with bias adjustment," Statistical Software Components S457575, Boston College Department of Economics, revised 19 Aug 2014.

    Cited by:

    Sorry, no citations of software components recorded.

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