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Eva Vivalt

Personal Details

First Name:Eva
Middle Name:
Last Name:Vivalt
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RePEc Short-ID:pvi431
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http://www.evavivalt.com/

Affiliation

Department of Economics
University of Toronto

Toronto, Canada
http://www.economics.utoronto.ca/
RePEc:edi:deutoca (more details at EDIRC)

Research output

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Jump to: Working papers Articles

Working papers

  1. Stefano DellaVigna & Nicholas Otis & Eva Vivalt, 2020. "Forecasting the Results of Experiments: Piloting an Elicitation Strategy," NBER Working Papers 26716, National Bureau of Economic Research, Inc.

Articles

  1. Eva Vivalt, 2020. "How Much Can We Generalize From Impact Evaluations?," Journal of the European Economic Association, European Economic Association, vol. 18(6), pages 3045-3089.
  2. Stefano DellaVigna & Nicholas Otis & Eva Vivalt, 2020. "Forecasting the Results of Experiments: Piloting an Elicitation Strategy," AEA Papers and Proceedings, American Economic Association, vol. 110, pages 75-79, May.
  3. Eva Vivalt, 2019. "Specification Searching and Significance Inflation Across Time, Methods and Disciplines," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 81(4), pages 797-816, August.
  4. Eva Vivalt, 2015. "Heterogeneous Treatment Effects in Impact Evaluation," American Economic Review, American Economic Association, vol. 105(5), pages 467-470, May.

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.

Working papers

  1. Stefano DellaVigna & Nicholas Otis & Eva Vivalt, 2020. "Forecasting the Results of Experiments: Piloting an Elicitation Strategy," NBER Working Papers 26716, National Bureau of Economic Research, Inc.

    Cited by:

    1. Frederico Finan & Demian Pouzo, 2021. "Reinforcing RCTs with Multiple Priors while Learning about External Validity," Papers 2112.09170, arXiv.org, revised May 2022.
    2. Olckers, Matthew, 2021. "On track for retirement?," Journal of Economic Behavior & Organization, Elsevier, vol. 190(C), pages 76-88.
    3. Stefano DellaVigna & Nicholas Otis & Eva Vivalt, 2020. "Forecasting the Results of Experiments: Piloting an Elicitation Strategy," AEA Papers and Proceedings, American Economic Association, vol. 110, pages 75-79, May.
    4. Dirk Bergemann & Marco Ottaviani, 2021. "Information Markets and Nonmarkets," Cowles Foundation Discussion Papers 2296, Cowles Foundation for Research in Economics, Yale University.

Articles

  1. Eva Vivalt, 2020. "How Much Can We Generalize From Impact Evaluations?," Journal of the European Economic Association, European Economic Association, vol. 18(6), pages 3045-3089.

    Cited by:

    1. Florent Bédécarrats & Isabelle Guérin & François Roubaud, 2019. "All that Glitters is not Gold. The Political Economy of Randomized Evaluations in Development," Development and Change, International Institute of Social Studies, vol. 50(3), pages 735-762, May.
    2. Kerwin, Jason Theodore & Thornton, Rebecca, 2020. "Making the Grade: The Sensitivity of Education Program Effectiveness to Input Choices and Outcome Measures," SocArXiv ct9sj, Center for Open Science.
    3. Dunning, Thad & Bicalho, Clara & Chowdhury, Anirvan & Grossman, Guy & Humphreys, Macartan & Hyde, Susan D. & McIntosh, Craig & Nellis, Gareth, 2019. "Meta-Analysis," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, pages 315-374.
    4. Florent BEDECARRATS & Isabelle GUERIN & François ROUBAUD, 2017. "L'étalon-or des évaluations randomisées : économie politique des expérimentations aléatoires dans le domaine du développement," Working Paper 753120cd-506f-4c5f-80ed-7, Agence française de développement.
    5. Gonzales Mariella & Gianmarco León-Ciliotta & Luis R. Martinez, 2018. "How effective are monetary incentives to vote? Evidence from a nationwide policy," Economics Working Papers 1667, Department of Economics and Business, Universitat Pompeu Fabra, revised Jul 2019.
    6. Abel Brodeur & Mathias Lé & Marc Sangnier & Yanos Zylberberg, 2016. "Star Wars: The Empirics Strike Back," Post-Print hal-01447851, HAL.
    7. Fiala, Nathan & Neubauer, Florian & Peters, Jörg, 2022. "Do economists replicate?," Ruhr Economic Papers 939, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    8. Frederico Finan & Demian Pouzo, 2021. "Reinforcing RCTs with Multiple Priors while Learning about External Validity," Papers 2112.09170, arXiv.org, revised May 2022.
    9. Omar Al-Ubaydli & John List & Claire Mackevicius & Min Sok Lee & Dana Suskind, 2019. "How Can Experiments Play a Greater Role in Public Policy? 12 Proposals from an Economic Model of Scaling," Artefactual Field Experiments 00679, The Field Experiments Website.
    10. Stefano DellaVigna & Elizabeth Linos, 2022. "RCTs to Scale: Comprehensive Evidence From Two Nudge Units," Econometrica, Econometric Society, vol. 90(1), pages 81-116, January.
    11. Ligon, Ethan & Schechter, Laura, 2017. "Structural experimentation to distinguish between models of risk sharing with frictions in rural Paraguay," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt9891t8g3, Department of Agricultural & Resource Economics, UC Berkeley.
    12. Eszter Czibor & David Jimenez-Gomez & John A. List, 2019. "The Dozen Things Experimental Economists Should Do (More of)," NBER Working Papers 25451, National Bureau of Economic Research, Inc.
    13. Andor, Mark A. & Gerster, Andreas & Peters, Jörg, 2022. "Information campaigns for residential energy conservation," European Economic Review, Elsevier, vol. 144(C).
    14. Travis J. Lybbert & Bruce Wydick, 2016. "Hope as Aspirations, Agency, and Pathways: Poverty Dynamics and Microfinance in Oaxaca, Mexico," NBER Working Papers 22661, National Bureau of Economic Research, Inc.
    15. Takuya Ishihara & Toru Kitagawa, 2021. "Evidence Aggregation for Treatment Choice," Papers 2108.06473, arXiv.org.
    16. Hoces de la Guardia, Fernando & Grant, Sean & Miguel, Edward, 2018. "A Framework for Open Policy Analysis," MetaArXiv jnyqh, Center for Open Science.
    17. Eble,Alex & Boone,Peter & Elbourne,Diana, 2016. "On minimizing the risk of bias in randomized controlled trials in economics," Policy Research Working Paper Series 7746, The World Bank.
    18. Ashis Das & Jed Friedman & Eeshani Kandpal, 2018. "Does involvement of local NGOs enhance public service delivery? Cautionary evidence from a malaria‐prevention program in India," Health Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 172-188, January.
    19. Jules Gazeaud & Claire Ricard, 2021. "Conditional Cash Transfers and the Learning Crisis : Evidence from Tayssir Scale-up in Morocco," CERDI Working papers hal-03137463, HAL.
    20. McGuire, Joel & Kaiser, Caspar & Bach-Mortensen, Anders, 2020. "The impact of cash transfers on subjective well-being and mental health in low- and middle- income countries: A systematic review and meta-analysis," SocArXiv ydr54, Center for Open Science.
    21. Usmani, Faraz & Jeuland, Marc & Pattanayak, Subhrendu, 2021. "NGOs and the effectiveness of interventions," Ruhr Economic Papers 902, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    22. Meager, Rachael & Sturdy, Jennifer, 2017. "Aggregating Distributional Treatment Effects: A Bayesian Hierarchical Analysis of the Microcredit Literature," MetaArXiv 7tkvm, Center for Open Science.
    23. Fox,Louise & Kaul,Upaasna, 2018. "The evidence is in : how should youth employment programs in low-income countries be designed ?," Policy Research Working Paper Series 8500, The World Bank.
    24. Xinkun Nie & Guido Imbens & Stefan Wager, 2021. "Covariate Balancing Sensitivity Analysis for Extrapolating Randomized Trials across Locations," Papers 2112.04723, arXiv.org.
    25. Annie Duflo & Jessica Kiessel & Adrienne Lucas, 2020. "Experimental Evidence on Alternative Policies to Increase Learning at Scale," NBER Working Papers 27298, National Bureau of Economic Research, Inc.
    26. Cristina Corduneanu-Huci & Michael T. Dorsch & Paul Maarek, 2017. "Learning to constrain: Political competition and randomized controlled trials in development," THEMA Working Papers 2017-24, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    27. Rachael Meager, 2015. "Understanding the Impact of Microcredit Expansions: A Bayesian Hierarchical Analysis of 7 Randomised Experiments," Papers 1506.06669, arXiv.org, revised Jul 2016.
    28. Pritchett, Lant, 2018. "Alleviating Global Poverty: Labor Mobility, Direct Assistance, and Economic Growth," Working Paper Series rwp18-013, Harvard University, John F. Kennedy School of Government.
    29. Craig McIntosh & Andrew Zeitlin, 2021. "Cash versus Kind: Benchmarking a Child Nutrition Program against Unconditional Cash Transfers in Rwanda," Papers 2106.00213, arXiv.org.
    30. Daido Kido, 2022. "Distributionally Robust Policy Learning with Wasserstein Distance," Papers 2205.04637, arXiv.org, revised Aug 2022.
    31. Susanna B. Berkouwer & Pierre E. Biscaye & Eric Hsu & Oliver W. Kim & Kenneth Lee & Edward Miguel & Catherine Wolfram, 2021. "Money or Power? Financial Infrastructure and Optimal Policy," NBER Working Papers 29086, National Bureau of Economic Research, Inc.
    32. Esterling, Kevin & Brady, David & Schwitzgebel, Eric, 2021. "The Necessity of Construct and External Validity for Generalized Causal Claims," OSF Preprints 2s8w5, Center for Open Science.
    33. Corduneanu-Huci, Cristina & Dorsch, Michael T. & Maarek, Paul, 2021. "The politics of experimentation: Political competition and randomized controlled trials," Journal of Comparative Economics, Elsevier, vol. 49(1), pages 1-21.
    34. Siwach, Garima & Paul, Sohini & de Hoop, Thomas, 2022. "Economies of scale of large-scale international development interventions: Evidence from self-help groups in India," World Development, Elsevier, vol. 153(C).

  2. Stefano DellaVigna & Nicholas Otis & Eva Vivalt, 2020. "Forecasting the Results of Experiments: Piloting an Elicitation Strategy," AEA Papers and Proceedings, American Economic Association, vol. 110, pages 75-79, May.
    See citations under working paper version above.
  3. Eva Vivalt, 2019. "Specification Searching and Significance Inflation Across Time, Methods and Disciplines," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 81(4), pages 797-816, August.

    Cited by:

    1. Graham Elliott & Nikolay Kudrin & Kaspar Wuthrich, 2019. "Detecting p-hacking," Papers 1906.06711, arXiv.org, revised May 2021.
    2. Andrew C. Chang & Trace J. Levinson, 2020. "Raiders of the Lost High-Frequency Forecasts: New Data and Evidence on the Efficiency of the Fed's Forecasting," Finance and Economics Discussion Series 2020-090, Board of Governors of the Federal Reserve System (U.S.).
    3. Bruns, Stephan B. & Asanov, Igor & Bode, Rasmus & Dunger, Melanie & Funk, Christoph & Hassan, Sherif M. & Hauschildt, Julia & Heinisch, Dominik & Kempa, Karol & König, Johannes & Lips, Johannes & Verb, 2019. "Reporting errors and biases in published empirical findings: Evidence from innovation research," Research Policy, Elsevier, vol. 48(9), pages 1-1.
    4. Eliot Abrams & Jonathan Libgober & John List, 2020. "Research Registries: Facts, Myths, and Possible Improvements," Artefactual Field Experiments 00703, The Field Experiments Website.
    5. Peter Pütz & Stephan B. Bruns, 2021. "The (Non‐)Significance Of Reporting Errors In Economics: Evidence From Three Top Journals," Journal of Economic Surveys, Wiley Blackwell, vol. 35(1), pages 348-373, February.
    6. Bruns, Stephan B. & Ioannidis, John P.A., 2020. "Determinants of economic growth: Different time different answer?," Journal of Macroeconomics, Elsevier, vol. 63(C).
    7. Abel Brodeur & Nikolai Cook & Anthony Heyes, 2020. "Methods Matter: p-Hacking and Publication Bias in Causal Analysis in Economics," American Economic Review, American Economic Association, vol. 110(11), pages 3634-3660, November.
    8. 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.
    9. Graham Elliott & Nikolay Kudrin & Kaspar Wuthrich, 2022. "(When) Can We Detect $p$-Hacking?," Papers 2205.07950, arXiv.org.
    10. Doucouliagos, Hristos & Hinz, Thomas & Zigova, Katarina, 2022. "Bias and careers: Evidence from the aid effectiveness literature," European Journal of Political Economy, Elsevier, vol. 71(C).

  4. Eva Vivalt, 2015. "Heterogeneous Treatment Effects in Impact Evaluation," American Economic Review, American Economic Association, vol. 105(5), pages 467-470, May.

    Cited by:

    1. Meyer, Maximilian & Klingelhoeffer, Ekkehard & Naidoo, Robin & Wingate, Vladimir & Börner, Jan, 2021. "Tourism opportunities drive woodland and wildlife conservation outcomes of community-based conservation in Namibia's Zambezi region," Ecological Economics, Elsevier, vol. 180(C).
    2. Andor, Mark A. & Fels, Katja M. & Renz, Jan & Rzepka, Sylvi, 2018. "Do planning prompts increase educational success? Evidence from randomized controlled trials in MOOCs," Ruhr Economic Papers 790, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    3. Jochmans, K. & Weidner, M., 2019. "Inference on a distribution from noisy draws," Cambridge Working Papers in Economics 1946, Faculty of Economics, University of Cambridge.
    4. Kaiser, Tim & Menkhoff, Lukas, 2017. "Does Financial Education Impact Financial Literacy and Financial Behavior, and if so, When?," Rationality and Competition Discussion Paper Series 37, CRC TRR 190 Rationality and Competition.
    5. Tinghua Yu, 2021. "Accountability and learning with motivated agents," BCAM Working Papers 2107, Birkbeck Centre for Applied Macroeconomics.
    6. Tinghua Yu, 2022. "Accountability and learning with motivated agents," Journal of Theoretical Politics, , vol. 34(2), pages 313-329, April.
    7. Kevin Croke & Joan Hamory Hicks & Eric Hsu & Michael Kremer & Ricardo Maertens & Edward Miguel & Witold Więcek, 2016. "Meta-Analysis and Public Policy: Reconciling the Evidence on Deworming," NBER Working Papers 22382, National Bureau of Economic Research, Inc.
    8. Croke, Kevin & Hicks, Joan Hamory & Hsu, Eric & Kremer, Michael & Miguel, Edward, 2016. "Does Mass Deworming Affect Child Nutrition? Meta-analysis, Cost-Effectiveness, and Statistical Power," CEPR Discussion Papers 11458, C.E.P.R. Discussion Papers.
    9. Katuwal, Hari & Hand, Michael S. & Thompson, Matthew & Stonesifer, Crystal & Calkin, David, 2018. "Predict and Attack (or Don’t): An Econometric Approach to Large Wildfire Early Detection and Suppression Effectiveness," 2018 Annual Meeting, August 5-7, Washington, D.C. 274304, Agricultural and Applied Economics Association.
    10. Andor, Mark Andreas & Gerster, Andreas & Peters, Jörg & Schmidt, Christoph M., 2017. "Social norms and energy conservation beyond the US," Ruhr Economic Papers 714, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    11. Fetter, T. Robert & Usmani, Faraz, 2020. "Fracking, farmers, and rural electrification in India," Ruhr Economic Papers 864, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    12. Gerhardts, Ilka & Sunde, Uwe & Zierow, Larissa, 2016. "Denominational Schools and Returns to Education - Gender Socialization in Multigrade Classrooms?," VfS Annual Conference 2016 (Augsburg): Demographic Change 145762, Verein für Socialpolitik / German Economic Association.
    13. Karthik Muralidharan & Paul Niehaus, 2017. "Experimentation at Scale," Journal of Economic Perspectives, American Economic Association, vol. 31(4), pages 103-124, Fall.
    14. Hao Zhang & Eddy van Doorslaer & Ling Xu & Yaoguang Zhang & Joris van de Klundert, 2019. "Can a results‐based bottom‐up reform improve health system performance? Evidence from the rural health project in China," Health Economics, John Wiley & Sons, Ltd., vol. 28(10), pages 1204-1219, October.

More information

Research fields, statistics, top rankings, if available.

Statistics

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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 1 paper 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 (1) 2020-02-24. Author is listed
  2. NEP-FOR: Forecasting (1) 2020-02-24. Author is listed

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