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Anja Sautmann

Personal Details

First Name:Anja
Middle Name:
Last Name:Sautmann
Suffix:
RePEc Short-ID:psa860
[This author has chosen not to make the email address public]
https://sites.google.com/site/anjasautmann/
Terminal Degree:2010 Economics Department; Stern School of Business; New York University (NYU) (from RePEc Genealogy)

Affiliation

Economics Research
World Bank Group

Washington, District of Columbia (United States)
https://www.worldbank.org/en/about/unit/unit-dec
RePEc:edi:dvewbus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Carolina Lopez & Anja Sautmann & Simone G. Schaner, 2024. "Do Patients Value High-Quality Medical Care? Experimental Evidence from Malaria Diagnosis and Treatment," NBER Working Papers 32075, National Bureau of Economic Research, Inc.
  2. Cavanagh,Jack & Fliegner,Jasmin Claire & Kopper,Sarah & Sautmann,Anja, 2023. "A Metadata Schema for Data from Experiments in the Social Sciences," Policy Research Working Paper Series 10296, The World Bank.
  3. Kelsey Jack & Kathryn McDermott & Anja Sautmann, 2022. "Multiple Price Lists for Willingness to Pay Elicitation," NBER Working Papers 30433, National Bureau of Economic Research, Inc.
  4. Esposito Acosta,Bruno Nicola & Sautmann,Anja, 2022. "Adaptive Experiments for Policy Choice : Phone Calls for Home Reading in Kenya," Policy Research Working Paper Series 10098, The World Bank.
  5. Blandhol,Christine & Sautmann,Anja, 2021. "Gender Differences in Children's Antibiotic Use and Adherence," Policy Research Working Paper Series 9542, The World Bank.
  6. Abhijit Banerjee & Esther Duflo & Amy Finkelstein & Lawrence F. Katz & Benjamin A. Olken & Anja Sautmann, 2020. "In Praise of Moderation: Suggestions for the Scope and Use of Pre-Analysis Plans for RCTs in Economics," NBER Working Papers 26993, National Bureau of Economic Research, Inc.
  7. Pereira Lopez,Carolina & Sautmann,Anja & Schaner,Simone Gabrielle, 2020. "Does Patient Demand Contribute to the Overuse of Prescription Drugs ?," Policy Research Working Paper Series 9482, The World Bank.
  8. Maximilian Kasy & Anja Sautmann, 2019. "Adaptive Treatment Assignment in Experiments for Policy Choice," CESifo Working Paper Series 7778, CESifo.
  9. Anja Sautmann & Samuel Brown & Mark Dean, 2016. "Subsidies, Information, and the Timing of Children's Health Care in Mali," CESifo Working Paper Series 6057, CESifo.
  10. Anja Sautmann, 2011. "Partner Search and Demographics: The Marriage Squeeze in India," Working Papers 2011-12, Brown University, Department of Economics.

Articles

  1. Mark Dean & Anja Sautmann, 2023. "The Effects of Community Health Worker Visits and Primary Care Subsidies on Health Behavior and Health Outcomes for Children in Urban Mali," The World Bank Economic Review, World Bank, vol. 37(3), pages 389-408.
  2. Carolina Lopez & Anja Sautmann & Simone Schaner, 2022. "Does Patient Demand Contribute to the Overuse of Prescription Drugs?," American Economic Journal: Applied Economics, American Economic Association, vol. 14(1), pages 225-260, January.
  3. Jack, B. Kelsey & McDermott, Kathryn & Sautmann, Anja, 2022. "Multiple price lists for willingness to pay elicitation," Journal of Development Economics, Elsevier, vol. 159(C).
  4. Maximilian Kasy & Anja Sautmann, 2021. "Adaptive Treatment Assignment in Experiments for Policy Choice," Econometrica, Econometric Society, vol. 89(1), pages 113-132, January.
  5. Mark Dean & Anja Sautmann, 2021. "Credit Constraints and the Measurement of Time Preferences," The Review of Economics and Statistics, MIT Press, vol. 103(1), pages 119-135, March.
  6. Anja Sautmann, 2017. "Age-Dependent Payoffs and Assortative Matching by Age in a Market with Search," American Economic Journal: Microeconomics, American Economic Association, vol. 9(2), pages 263-294, May.
  7. Anja Sautmann, 2013. "Contracts for Agents with Biased Beliefs: Some Theory and an Experiment," American Economic Journal: Microeconomics, American Economic Association, vol. 5(3), pages 124-156, August.

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.

RePEc Biblio mentions

As found on the RePEc Biblio, the curated bibliography of Economics:
  1. Anja Sautmann, 2011. "Partner Search and Demographics: The Marriage Squeeze in India," Working Papers 2011-12, Brown University, Department of Economics.

    Mentioned in:

    1. > Political Economy > Political Economy of Asia > Political Economy of India

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Anja Sautmann, 2013. "Contracts for Agents with Biased Beliefs: Some Theory and an Experiment," American Economic Journal: Microeconomics, American Economic Association, vol. 5(3), pages 124-156, August.

    Mentioned in:

    1. Contracts for Agents with Biased Beliefs: Some Theory and an Experiment (AEJ:MI 2013) in ReplicationWiki ()

Working papers

  1. Kelsey Jack & Kathryn McDermott & Anja Sautmann, 2022. "Multiple Price Lists for Willingness to Pay Elicitation," NBER Working Papers 30433, National Bureau of Economic Research, Inc.

    Cited by:

    1. Jack,B. Kelsey & McDermott,Kathryn & Sautmann,Anja, 2022. "Multiple Price Lists for Willingness to Pay Elicitation," Policy Research Working Paper Series 10173, The World Bank.
    2. Changkuk Im, 2023. "Accurate Quality Elicitation in a Multi-Attribute Choice Setting," Papers 2309.00114, arXiv.org, revised Dec 2023.

  2. Abhijit Banerjee & Esther Duflo & Amy Finkelstein & Lawrence F. Katz & Benjamin A. Olken & Anja Sautmann, 2020. "In Praise of Moderation: Suggestions for the Scope and Use of Pre-Analysis Plans for RCTs in Economics," NBER Working Papers 26993, National Bureau of Economic Research, Inc.

    Cited by:

    1. Fiala, Nathan & Garcia-Hernandez, Ana & Narula, Kritika & Prakash, Nishith, 2022. "Wheels of change: Transforming girls' lives with bicycles," Ruhr Economic Papers 943, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    2. Patrick Button & Brigham Walker, 2019. "Employment Discrimination against Indigenous Peoples in the United States: Evidence from a Field Experiment," NBER Working Papers 25849, National Bureau of Economic Research, Inc.
    3. Maximilian Kasy & Jann Spiess, 2022. "Rationalizing Pre-Analysis Plans:Statistical Decisions Subject to Implementability," Economics Series Working Papers 975, University of Oxford, Department of Economics.
    4. Heckelei, Thomas & Huettel, Silke & Odening, Martin & Rommel, Jens, 2021. "The replicability crisis and the p-value debate – what are the consequences for the agricultural and food economics community?," Discussion Papers 316369, University of Bonn, Institute for Food and Resource Economics.
    5. Dalton, Patricio & Rüschenpöhler, Julius & Uras, Burak & Zia, Bilal, 2020. "Curating Local Knowledge : Experimental Evidence from Small Retailers in Indonesia (Revision of DP 2019-015)," Other publications TiSEM 5c5fc2c6-7cfe-4fa9-b1d1-4, Tilburg University, School of Economics and Management.
    6. Guido W. Imbens, 2021. "Statistical Significance, p-Values, and the Reporting of Uncertainty," Journal of Economic Perspectives, American Economic Association, vol. 35(3), pages 157-174, Summer.
    7. Jeffrey D. Michler & Anna Josephson & Talip Kilic & Siobhan Murray, 2022. "Privacy Protection, Measurement Error, and the Integration of Remote Sensing and Socioeconomic Survey Data," Papers 2202.05220, arXiv.org.
    8. Kathryn N. Vasilaky & J. Michelle Brock, 2020. "Power(ful) guidelines for experimental economists," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 6(2), pages 189-212, December.
    9. Blimpo, Moussa & Pugatch, Todd, 2023. "Unintended Consequences of Youth Entrepreneurship Programs: Experimental Evidence from Rwanda," IZA Discussion Papers 16489, Institute of Labor Economics (IZA).
    10. Sarah A. Janzen & Jeffrey D. Michler, 2021. "Ulysses' pact or Ulysses' raft: Using pre‐analysis plans in experimental and nonexperimental research," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 43(4), pages 1286-1304, December.
    11. Blouin, Arthur & Mukand, Sharun W., 2022. "Mistaking noise for bias," Journal of Development Economics, Elsevier, vol. 158(C).
    12. Blesse, Sebastian, 2021. "Are your tax problems an opportunity not to pay taxes? Evidence from a randomized survey experiment," ZEW Discussion Papers 21-040, ZEW - Leibniz Centre for European Economic Research.
    13. Eliot Abrams & Jonathan Libgober & John List, 2020. "Research Registries: Facts, Myths, and Possible Improvements," Artefactual Field Experiments 00703, The Field Experiments Website.
    14. Wheeler, Laurel & Garlick, Robert & Johnson, Eric & Shaw, Patrick & Gargano, Marissa, 2019. "LinkedIn(to) Job Opportunities: Experimental Evidence from Job Readiness Training," Working Papers 2019-14, University of Alberta, Department of Economics.
    15. Allen, James & Mahumane, Arlete & Riddell, James & Rosenblat, Tanya & Yang, Dean & Yu, Hang, 2022. "Teaching and incentives: Substitutes or complements?," Economics of Education Review, Elsevier, vol. 91(C).
    16. Lars Behlen & Oliver Himmler & Robert Jäckle, 2023. "Defaults and effortful tasks," Experimental Economics, Springer;Economic Science Association, vol. 26(5), pages 1022-1059, November.
    17. Brodeur, Abel & Cook, Nikolai M. & Hartley, Jonathan S. & Heyes, Anthony, 2024. "Do Pre-Registration and Pre-Analysis Plans Reduce p-Hacking and Publication Bias? Evidence from 15,992 Test Statistics and Suggestions for Improvement," I4R Discussion Paper Series 101, The Institute for Replication (I4R).
    18. Andrew C. Chang & Linda R. Cohen & Amihai Glazer & Urbashee Paul, 2021. "Politicians Avoid Tax Increases Around Elections," Finance and Economics Discussion Series 2021-004, Board of Governors of the Federal Reserve System (U.S.).
    19. Nathan Fiala & Ana Garcia-Hernandez & Kritika Narula & Nishith Prakash, 2022. "Wheels of Change: Transforming Girls’ Lives with Bicycles," Working papers 2022-04, University of Connecticut, Department of Economics.

  3. Pereira Lopez,Carolina & Sautmann,Anja & Schaner,Simone Gabrielle, 2020. "Does Patient Demand Contribute to the Overuse of Prescription Drugs ?," Policy Research Working Paper Series 9482, The World Bank.

    Cited by:

    1. Kline,Dean Mark & Sautmann,Anja, 2022. "The Effects of Community Health Worker Visits and Primary Care Subsidies on Health Behaviorand Health Outcomes for Children in Urban Mali," Policy Research Working Paper Series 9986, The World Bank.
    2. Sautmann,Anja & Brown,Samuel & Kline,Dean Mark, 2020. "Subsidies, Information, and the Timing of Children’s Health Care in Mali," Policy Research Working Paper Series 9486, The World Bank.
    3. He, Daixin & Lu, Fangwen & Yang, Jianan, 2023. "Impact of self- or social-regarding health messages: Experimental evidence based on antibiotics purchases," Journal of Development Economics, Elsevier, vol. 163(C).

  4. Maximilian Kasy & Anja Sautmann, 2019. "Adaptive Treatment Assignment in Experiments for Policy Choice," CESifo Working Paper Series 7778, CESifo.

    Cited by:

    1. Julia Höhler & Jesús Barreiro‐Hurlé & Mikołaj Czajkowski & François J. Dessart & Paul J. Ferraro & Tongzhe Li & Kent D. Messer & Leah Palm‐Forster & Mette Termansen & Fabian Thomas & Katarzyna Zagórsk, 2024. "Perspectives on stakeholder participation in the design of economic experiments for agricultural policymaking: Pros, cons, and twelve recommendations for researchers," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 46(1), pages 338-359, March.
    2. Karun Adusumilli, 2021. "Risk and optimal policies in bandit experiments," Papers 2112.06363, arXiv.org, revised Jan 2024.
    3. Maximilian Kasy & Anja Sautmann, 2019. "Adaptive Treatment Assignment in Experiments for Policy Choice," CESifo Working Paper Series 7778, CESifo.
    4. Battistin, Erich & De Nadai, Michele & Krishnan, Nandini, 2020. "The Insights and Illusions of Consumption Measurements," IZA Discussion Papers 13222, Institute of Labor Economics (IZA).
    5. Nicolo Cesa-Bianchi & Roberto Colomboni & Maximilian Kasy, 2023. "Adaptive maximization of social welfare," Papers 2310.09597, arXiv.org.
    6. Elena Serfilippi & Daniele Giovannucci & David Ameyaw & Ankur Bansal & Thomas Asafua Nketsia Wobill & Roberta Blankson & Rashi Mishra, 2022. "Benefits and Challenges of Making Data More Agile: A Review of Recent Key Approaches in Agriculture," Sustainability, MDPI, vol. 14(24), pages 1-18, December.
    7. Frederico Finan & Demian Pouzo, 2021. "Reinforcing RCTs with Multiple Priors while Learning about External Validity," Papers 2112.09170, arXiv.org, revised Mar 2023.
    8. Battistin, Erich & De Nadai, Michele & Krishnan, Nandini, 2023. "The insights and illusions of consumption measurements," Journal of Development Economics, Elsevier, vol. 161(C).
    9. Keisuke Hirano & Jack R. Porter, 2023. "Asymptotic Representations for Sequential Decisions, Adaptive Experiments, and Batched Bandits," Papers 2302.03117, arXiv.org.
    10. Chao Qin & Daniel Russo, 2024. "Optimizing Adaptive Experiments: A Unified Approach to Regret Minimization and Best-Arm Identification," Papers 2402.10592, arXiv.org.
    11. Arthur Charpentier & Romuald Elie & Carl Remlinger, 2020. "Reinforcement Learning in Economics and Finance," Papers 2003.10014, arXiv.org.
    12. Michael Walton, 2023. "Adaptive Evaluation: A Complexity-Based Approach to Systematic Learning for Innovation and Scaling in Development," CID Working Papers 428, Center for International Development at Harvard University.
    13. Masahiro Kato & Masaaki Imaizumi & Takuya Ishihara & Toru Kitagawa, 2023. "Asymptotically Optimal Fixed-Budget Best Arm Identification with Variance-Dependent Bounds," Papers 2302.02988, arXiv.org, revised Jul 2023.
    14. Samantha Horn & Sabina J. Sloman, 2022. "A Comparison of Methods for Adaptive Experimentation," Papers 2207.00683, arXiv.org.
    15. Caio Waisman & Harikesh S. Nair & Carlos Carrion, 2019. "Online Causal Inference for Advertising in Real-Time Bidding Auctions," Papers 1908.08600, arXiv.org, revised Feb 2024.
    16. Masahiro Kato, 2021. "Adaptive Doubly Robust Estimator from Non-stationary Logging Policy under a Convergence of Average Probability," Papers 2102.08975, arXiv.org, revised Mar 2021.
    17. Maximilian Kasy & Alexander Teytelboym, 2020. "Adaptive Combinatorial Allocation," Papers 2011.02330, arXiv.org.
    18. Maximilian Kasy & Alex Teytelboym, 2020. "Adaptive Targeted Infectious Disease Testing," Economics Series Working Papers 907, University of Oxford, Department of Economics.
    19. Masahiro Kato & Masaaki Imaizumi & Takuya Ishihara & Toru Kitagawa, 2022. "Best Arm Identification with Contextual Information under a Small Gap," Papers 2209.07330, arXiv.org, revised Jan 2023.
    20. Karun Adusumilli, 2022. "Neyman allocation is minimax optimal for best arm identification with two arms," Papers 2204.05527, arXiv.org, revised Aug 2022.
    21. 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.
    22. Girija Bahety & Sebastian Bauhoff & Dev Patel & James Potter, 2021. "Texts Don’t Nudge: An Adaptive Trial to Prevent the Spread of COVID-19 in India," Working Papers 585, Center for Global Development.
    23. A. Stefano Caria & Grant Gordon & Maximilian Kasy & Simon Quinn & Soha Shami & Alexander Teytelboym, 2020. "An Adaptive Targeted Field Experiment: Job Search Assistance for Refugees in Jordan," CSAE Working Paper Series 2020-20, Centre for the Study of African Economies, University of Oxford.
    24. Davide Viviano & Jess Rudder, 2020. "Policy design in experiments with unknown interference," Papers 2011.08174, arXiv.org, revised Dec 2023.
    25. Harrison H. Li & Art B. Owen, 2023. "Double machine learning and design in batch adaptive experiments," Papers 2309.15297, arXiv.org.
    26. Karun Adusumilli, 2023. "Optimal tests following sequential experiments," Papers 2305.00403, arXiv.org, revised Jun 2023.
    27. Gao, Xiaoxue Sherry & Harrison, Glenn & Tchernis, Rusty, 2020. "Behavioral Welfare Economics and Risk Preferences: A Bayesian Approach," IZA Discussion Papers 13580, Institute of Labor Economics (IZA).
    28. Kitagawa, Toru & Wang, Guanyi, 2023. "Who should get vaccinated? Individualized allocation of vaccines over SIR network," Journal of Econometrics, Elsevier, vol. 232(1), pages 109-131.
    29. Nibbering, Didier & Oosterveen, Matthijs & Silva, Pedro Luís, 2022. "Clustered Local Average Treatment Effects: Fields of Study and Academic Student Progress," IZA Discussion Papers 15159, Institute of Labor Economics (IZA).
    30. Wuming Fu & Qian Qi, 2023. "Artificial Intelligence and Dual Contract," Papers 2303.12350, arXiv.org.
    31. Masahiro Kato & Kyohei Okumura & Takuya Ishihara & Toru Kitagawa, 2024. "Adaptive Experimental Design for Policy Learning," Papers 2401.03756, arXiv.org, revised Feb 2024.
    32. Arthur Charpentier & Romuald Élie & Carl Remlinger, 2023. "Reinforcement Learning in Economics and Finance," Computational Economics, Springer;Society for Computational Economics, vol. 62(1), pages 425-462, June.
    33. Max Cytrynbaum, 2021. "Optimal Stratification of Survey Experiments," Papers 2111.08157, arXiv.org, revised Aug 2023.
    34. Toru Kitagawa & Guanyi Wang, 2021. "Who should get vaccinated? Individualized allocation of vaccines over SIR network," CeMMAP working papers CWP28/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    35. Maximilian Kasy & Alexander Teytelboym, 2023. "Matching with semi-bandits," The Econometrics Journal, Royal Economic Society, vol. 26(1), pages 45-66.
    36. Xiaoxue Sherry Gao & Glenn W. Harrison & Rusty Tchernis, 2023. "Behavioral welfare economics and risk preferences: a Bayesian approach," Experimental Economics, Springer;Economic Science Association, vol. 26(2), pages 273-303, April.
    37. Sebastian Jobjörnsson & Henning Schaak & Oliver Musshoff & Tim Friede, 2023. "Improving the statistical power of economic experiments using adaptive designs," Experimental Economics, Springer;Economic Science Association, vol. 26(2), pages 357-382, April.
    38. Kock, Anders Bredahl & Preinerstorfer, David & Veliyev, Bezirgen, 2023. "Treatment recommendation with distributional targets," Journal of Econometrics, Elsevier, vol. 234(2), pages 624-646.
    39. Martino Banchio & Giacomo Mantegazza, 2022. "Artificial Intelligence and Spontaneous Collusion," Papers 2202.05946, arXiv.org, revised Sep 2023.
    40. Danielle Li & Lindsey R. Raymond & Peter Bergman, 2020. "Hiring as Exploration," NBER Working Papers 27736, National Bureau of Economic Research, Inc.
    41. Susan Athey & Undral Byambadalai & Vitor Hadad & Sanath Kumar Krishnamurthy & Weiwen Leung & Joseph Jay Williams, 2022. "Contextual Bandits in a Survey Experiment on Charitable Giving: Within-Experiment Outcomes versus Policy Learning," Papers 2211.12004, arXiv.org.
    42. Masahiro Kato, 2023. "Locally Optimal Fixed-Budget Best Arm Identification in Two-Armed Gaussian Bandits with Unknown Variances," Papers 2312.12741, arXiv.org, revised Mar 2024.

  5. Anja Sautmann & Samuel Brown & Mark Dean, 2016. "Subsidies, Information, and the Timing of Children's Health Care in Mali," CESifo Working Paper Series 6057, CESifo.

    Cited by:

    1. Carolina Lopez & Anja Sautmann & Simone Schaner, 2018. "The Contribution of Patients and Providers to the Overuse of Prescription Drugs," NBER Working Papers 25284, National Bureau of Economic Research, Inc.
    2. Böckerman, Petri & Kortelainen, Mika & Laine, Liisa T. & Nurminen, Mikko & Saxell, Tanja, 2019. "Digital Waste? Unintended Consequences of Health Information Technology," IZA Discussion Papers 12275, Institute of Labor Economics (IZA).

  6. Anja Sautmann, 2011. "Partner Search and Demographics: The Marriage Squeeze in India," Working Papers 2011-12, Brown University, Department of Economics.

    Cited by:

    1. Lucia Corno & Nicole Hildebrandt & Alessandra Voena, 2016. "Weather Shocks, Age of Marriage and the Direction of Marriage Payments," DISCE - Working Papers del Dipartimento di Economia e Finanza def040, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    2. Bhaskar, Venkataraman, 2015. "The Demographic Transition and the Position of Women: A Marriage Market Perspective," CEPR Discussion Papers 10619, C.E.P.R. Discussion Papers.
    3. Chiplunkar, Gaurav & Weaver, Jeffrey, 2023. "Marriage markets and the rise of dowry in India," Journal of Development Economics, Elsevier, vol. 164(C).
    4. Lucia Corno & Nicole Hildebrandt & Alessandra Voena, 2017. "Age of Marriage, Weather Shocks, and the Direction of Marriage Payments," NBER Working Papers 23604, National Bureau of Economic Research, Inc.
    5. Scott Fulford, 2013. "The changing geography of gender in India," Boston College Working Papers in Economics 833, Boston College Department of Economics.
    6. Scott Fulford, 2012. "The Puzzle of Marriage Migration in India," Boston College Working Papers in Economics 820, Boston College Department of Economics, revised 22 Oct 2013.

Articles

  1. Carolina Lopez & Anja Sautmann & Simone Schaner, 2022. "Does Patient Demand Contribute to the Overuse of Prescription Drugs?," American Economic Journal: Applied Economics, American Economic Association, vol. 14(1), pages 225-260, January.
    See citations under working paper version above.
  2. Jack, B. Kelsey & McDermott, Kathryn & Sautmann, Anja, 2022. "Multiple price lists for willingness to pay elicitation," Journal of Development Economics, Elsevier, vol. 159(C).
    See citations under working paper version above.
  3. Maximilian Kasy & Anja Sautmann, 2021. "Adaptive Treatment Assignment in Experiments for Policy Choice," Econometrica, Econometric Society, vol. 89(1), pages 113-132, January.
    See citations under working paper version above.
  4. Mark Dean & Anja Sautmann, 2021. "Credit Constraints and the Measurement of Time Preferences," The Review of Economics and Statistics, MIT Press, vol. 103(1), pages 119-135, March.

    Cited by:

    1. Jindrich Matousek, 2018. "Individual Discount Rates: A Meta-Analysis of the Experimental Evidence," Working Papers IES 2018/40, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Dec 2018.
    2. Oberrauch, Luis & Kaiser, Tim, 2021. "Cognitive ability, financial literacy, and narrow bracketing in time-preference elicitation," EconStor Preprints 245802, ZBW - Leibniz Information Centre for Economics.
    3. Massimo Filippini & Nilkanth Kumar & Suchita Srinivasan, 2021. "Behavioral Anomalies and Fuel Efficiency: Evidence from Motorcycles in Nepal," CER-ETH Economics working paper series 21/353, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    4. Franco, Catalina & Mahadevan, Meera, 2021. "Behavioral dynamics in transitions from college to the workforce," Journal of Economic Behavior & Organization, Elsevier, vol. 188(C), pages 567-590.
    5. Thomas, Ranjeeta & Galizzi, Matteo M. & Moorhouse, Louisa & Nyamukapa, Constance & Hallett, Timothy B., 2024. "Do risk, time and prosocial preferences predict risky sexual behaviour of youths in a low-income, high-risk setting?," LSE Research Online Documents on Economics 121013, London School of Economics and Political Science, LSE Library.
    6. Wei Yang & Peng Yang & Huaiwang Shi & Weizeng Sun, 2022. "Mobile Payment Application and Rural Household Consumption—Evidence from China Household Finance Survey," Sustainability, MDPI, vol. 15(1), pages 1-18, December.
    7. Aurélien Baillon & Owen O'Donnell & Stella Quimbo & Kim van Wilgenburg, 2022. "Do time preferences explain low health insurance take‐up?," Post-Print halshs-03908423, HAL.

  5. Anja Sautmann, 2017. "Age-Dependent Payoffs and Assortative Matching by Age in a Market with Search," American Economic Journal: Microeconomics, American Economic Association, vol. 9(2), pages 263-294, May.

    Cited by:

    1. Adams-Prassl, Abigail & Andrew, Alison, 2019. "Preferences and Beliefs in the Marriage Market for Young Brides," CEPR Discussion Papers 13567, C.E.P.R. Discussion Papers.
    2. Wahhaj, Zaki, 2018. "An economic model of early marriage," Journal of Economic Behavior & Organization, Elsevier, vol. 152(C), pages 147-176.
    3. Abi Adams & Alison Andrew, 2019. "Preferences and beliefs in the marriage market for young brides," IFS Working Papers W19/05, Institute for Fiscal Studies.
    4. Alison Andrew & Abi Adams-Prassl, 2022. "Revealed beliefs and the marriage market return to education," IFS Working Papers W22/48, Institute for Fiscal Studies.

  6. Anja Sautmann, 2013. "Contracts for Agents with Biased Beliefs: Some Theory and an Experiment," American Economic Journal: Microeconomics, American Economic Association, vol. 5(3), pages 124-156, August.

    Cited by:

    1. Valeria Maggian & Antonio Nicoló, 2017. "The wrong man for the job: biased beliefs and job mismatching," Working Papers 1705, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    2. Marchegiani, Lucia & Reggiani, Tommaso & Rizzolli, Matteo, 2016. "Loss averse agents and lenient supervisors in performance appraisal," Journal of Economic Behavior & Organization, Elsevier, vol. 131(PA), pages 183-197.
    3. Guber, Raphael & Kocher, Martin & Winter, Joachim, 2018. "Does Having Insurance Change Individuals Self-Confidence?," Rationality and Competition Discussion Paper Series 80, CRC TRR 190 Rationality and Competition.
    4. Wenner, Lukas M., 2018. "Do sellers exploit biased beliefs of buyers? An experiment," Games and Economic Behavior, Elsevier, vol. 110(C), pages 194-215.
    5. Englmaier, Florian & Schüßler, Katharina, 2015. "Complementarities of HRM Practices," Discussion Paper Series of SFB/TR 15 Governance and the Efficiency of Economic Systems 503, Free University of Berlin, Humboldt University of Berlin, University of Bonn, University of Mannheim, University of Munich.
    6. Florian Englmaier & Katharina Schüßler, 2015. "Complementarities of HRM Practices - A Case for Employing Multiple Methods and Integrating Multiple Fields," CESifo Working Paper Series 5249, CESifo.
    7. Chen, Si & Schildberg-Hörisch, Hannah, 2018. "Looking at the Bright Side: The Motivation Value of Overconfidence," IZA Discussion Papers 11564, Institute of Labor Economics (IZA).
    8. Michael K. Lim & Ho-Yin Mak & Ying Rong, 2015. "Toward Mass Adoption of Electric Vehicles: Impact of the Range and Resale Anxieties," Manufacturing & Service Operations Management, INFORMS, vol. 17(1), pages 101-119, February.
    9. Brown, Jason L. & Farrington, Sukari & Sprinkle, Geoffrey B., 2016. "Biased self-assessments, feedback, and employees' compensation plan choices," Accounting, Organizations and Society, Elsevier, vol. 54(C), pages 45-59.
    10. Matthias Fahn & Nicolas Klein, 2023. "Non-Common Priors, Incentives, and Promotions: The Role of Learning," CESifo Working Paper Series 10481, CESifo.
    11. Justin Downs, 2021. "Information gathering by overconfident agents," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 30(3), pages 554-568, August.
    12. Jen-Wen Chang & Simpson Zhang, 2018. "Competitive Pay and Excessive Manager Risk-taking," Working Papers 18-02, Office of Financial Research, US Department of the Treasury.
    13. Thoma, Carmen, 2013. "Is Underconfidence Favored over Overconfidence? An Experiment on the Perception of a Biased Self-Assessment," Discussion Papers in Economics 17460, University of Munich, Department of Economics.
    14. Carmen Thoma, 2016. "Under- versus overconfidence: an experiment on how others perceive a biased self-assessment," Experimental Economics, Springer;Economic Science Association, vol. 19(1), pages 218-239, March.
    15. Chen, Si & Schildberg-Hörisch, Hannah, 2019. "Looking at the bright side: The motivational value of confidence," European Economic Review, Elsevier, vol. 120(C).

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 8 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-EXP: Experimental Economics (7) 2019-08-26 2020-05-04 2022-10-10 2022-10-31 2022-10-31 2022-11-14 2024-03-04. Author is listed
  2. NEP-DCM: Discrete Choice Models (3) 2022-10-10 2022-10-31 2022-10-31
  3. NEP-UPT: Utility Models and Prospect Theory (2) 2022-10-10 2022-10-31
  4. NEP-DEM: Demographic Economics (1) 2011-09-05
  5. NEP-DGE: Dynamic General Equilibrium (1) 2011-09-05
  6. NEP-ECM: Econometrics (1) 2022-10-10
  7. NEP-HEA: Health Economics (1) 2024-03-04
  8. NEP-LAB: Labour Economics (1) 2011-09-05

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