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Jetson Leder-Luis

Personal Details

First Name:Jetson
Middle Name:
Last Name:Leder-Luis
Suffix:
RePEc Short-ID:ple1069
[This author has chosen not to make the email address public]
http://jetson.org
Terminal Degree:2020 Economics Department; Massachusetts Institute of Technology (MIT) (from RePEc Genealogy)

Affiliation

(1%) National Bureau of Economic Research (NBER)

Cambridge, Massachusetts (United States)
http://www.nber.org/
RePEc:edi:nberrus (more details at EDIRC)

(49%) Department of Economics
Boston University

Boston, Massachusetts (United States)
http://www.bu.edu/econ/
RePEc:edi:decbuus (more details at EDIRC)

(50%) Questrom School of Business
Boston University

Boston, Massachusetts (United States)
http://www.bu.edu/questrom/
RePEc:edi:sombuus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Martina Cuneo & Jetson Leder-Luis & Silvia Vannutelli, 2023. "Government Audits," NBER Working Papers 30975, National Bureau of Economic Research, Inc.
  2. Shubhranshu Shekhar & Jetson Leder-Luis & Leman Akoglu, 2023. "Unsupervised Machine Learning for Explainable Health Care Fraud Detection," NBER Working Papers 30946, National Bureau of Economic Research, Inc.
  3. Jonathan Gruber & David H. Howard & Jetson Leder-Luis & Theodore L. Caputi, 2023. "Dying or Lying? For-Profit Hospices and End of Life Care," NBER Working Papers 31035, National Bureau of Economic Research, Inc.
  4. Jean Ensminger & Jetson Leder-Luis, 2022. "Detecting Fraud in Development Aid," NBER Working Papers 30768, National Bureau of Economic Research, Inc.
  5. Paul J. Eliason & Riley J. League & Jetson Leder-Luis & Ryan C. McDevitt & James W. Roberts, 2021. "Ambulance Taxis: The Impact of Regulation and Litigation on Health Care Fraud," NBER Working Papers 29491, National Bureau of Economic Research, Inc.
  6. Jetson Leder-Luis, 2019. "Whistleblowers, The False Claims Act, and the Behavior of Healthcare Providers," 2019 Papers ple1069, Job Market Papers.
  7. Joshua D. Angrist & Victor Lavy & Jetson Leder-Luis & Adi Shany, 2017. "Maimonides Rule Redux," NBER Working Papers 23486, National Bureau of Economic Research, Inc.

Articles

  1. Joshua D. Angrist & Victor Lavy & Jetson Leder-Luis & Adi Shany, 2019. "Maimonides' Rule Redux," American Economic Review: Insights, American Economic Association, vol. 1(3), pages 309-324, December.
  2. Margaret E. Roberts & Brandon M. Stewart & Dustin Tingley & Christopher Lucas & Jetson Leder‐Luis & Shana Kushner Gadarian & Bethany Albertson & David G. Rand, 2014. "Structural Topic Models for Open‐Ended Survey Responses," American Journal of Political Science, John Wiley & Sons, vol. 58(4), pages 1064-1082, October.

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. Jean Ensminger & Jetson Leder-Luis, 2022. "Detecting Fraud in Development Aid," NBER Working Papers 30768, National Bureau of Economic Research, Inc.

    Cited by:

    1. Elif Kubilayⓡ & Eva Raiberⓡ & Lisa Spantigⓡ & Jana Cahlíkováⓡ & Lucy Kaariaⓡ & Lisa Spantig, 2023. "Can You Spot a Scam? Measuring and Improving Scam Identification Ability," CESifo Working Paper Series 10239, CESifo.

  2. Paul J. Eliason & Riley J. League & Jetson Leder-Luis & Ryan C. McDevitt & James W. Roberts, 2021. "Ambulance Taxis: The Impact of Regulation and Litigation on Health Care Fraud," NBER Working Papers 29491, National Bureau of Economic Research, Inc.

    Cited by:

    1. Shubhranshu Shekhar & Jetson Leder-Luis & Leman Akoglu, 2023. "Unsupervised Machine Learning for Explainable Health Care Fraud Detection," NBER Working Papers 30946, National Bureau of Economic Research, Inc.
    2. O'Malley, A. James & Bubolz, Thomas A. & Skinner, Jonathan S., 2023. "The diffusion of health care fraud: A bipartite network analysis," Social Science & Medicine, Elsevier, vol. 327(C).

  3. Jetson Leder-Luis, 2019. "Whistleblowers, The False Claims Act, and the Behavior of Healthcare Providers," 2019 Papers ple1069, Job Market Papers.

    Cited by:

    1. Howard, David H. & McCarthy, Ian, 2021. "Deterrence effects of antifraud and abuse enforcement in health care," Journal of Health Economics, Elsevier, vol. 75(C).

  4. Joshua D. Angrist & Victor Lavy & Jetson Leder-Luis & Adi Shany, 2017. "Maimonides Rule Redux," NBER Working Papers 23486, National Bureau of Economic Research, Inc.

    Cited by:

    1. Machin, Stephen & Sandi, Matteo, 2018. "Autonomous Schools and Strategic Pupil Exclusion," IZA Discussion Papers 11478, Institute of Labor Economics (IZA).
    2. Yoichi Arai & Yu-Chin Hsu & Toru Kitagawa & Ismael Mourifié & Yuanyuan Wan, 2021. "Testing identifying assumptions in fuzzy regression discontinuity designs," CeMMAP working papers CWP16/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    3. Shunsuke Imai & Yuta Okamoto, 2023. "Kernel Choice Matters for Boundary Inference Using Local Polynomial Density: With Application to Manipulation Testing," Papers 2306.07619, arXiv.org, revised Jan 2024.
    4. Bonesrønning, Hans & Finseraas, Henning & Hardoy, Ines & Iversen, Jon Marius Vaag & Nyhus, Ole Henning & Opheim, Vibeke & Salvanes, Kari Vea & Sandsør, Astrid Marie Jorde & Schøne, Pål, 2022. "Small-group instruction to improve student performance in mathematics in early grades: Results from a randomized field experiment," Journal of Public Economics, Elsevier, vol. 216(C).
    5. Andrés Barrios Fernández & Giulia Bovini, 2017. "It's time to learn: understanding the differences in returns to instruction time," CEP Discussion Papers dp1521, Centre for Economic Performance, LSE.
    6. Bach, Maximilian & Sievert, Stephan, 2020. "Birth cohort size variation and the estimation of class size effects," ZEW Discussion Papers 20-053, ZEW - Leibniz Centre for European Economic Research.
    7. Leopoldo Fergusson & Arturo Harker & Carlos Molina & Juan Camilo Yamín, 2023. "Political incentives and corruption evidence from ghost students," Documentos CEDE 20732, Universidad de los Andes, Facultad de Economía, CEDE.
    8. Saleh, Mohamed & Assaad, Ragui & ,, 2019. "Impact of Syrian Refugees on Education Outcomes in Jordan," CEPR Discussion Papers 14056, C.E.P.R. Discussion Papers.
    9. Rosa Sanchis-Guarner & José Montalbán & Felix Weinhardt, 2021. "Home Broadband and Human Capital Formation," CESifo Working Paper Series 8846, CESifo.
    10. Alberto Abadie, 2020. "Statistical Nonsignificance in Empirical Economics," American Economic Review: Insights, American Economic Association, vol. 2(2), pages 193-208, June.
    11. Gian Paolo Barbetta & Giuseppe Sorrenti & Gilberto Turati, 2018. "Multigrading and child achievement," ECON - Working Papers 275, Department of Economics - University of Zurich, revised Aug 2019.
    12. Ludger Wößmann & Philipp Lergetporer & Elisabeth Grewenig & Sarah Kersten & Katharina Werner, 2018. "Do Youths See Education Policy Differently to Adults?," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 71(17), pages 31-45, September.
    13. Justman, Moshe, 2018. "Randomized controlled trials informing public policy: Lessons from project STAR and class size reduction," European Journal of Political Economy, Elsevier, vol. 54(C), pages 167-174.
    14. 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.
    15. Adrien Bouguen & Julien Grenet & Marc Gurgand, 2017. "Does class size influence student achievement?," Post-Print halshs-02522747, HAL.
    16. Aleksei Chernulich & Romain Gauriot & Daehong Min, 2023. "Endogenous Tracking: Sorting and Peer Effects," Working Papers 20230084, New York University Abu Dhabi, Department of Social Science, revised Jan 2023.
    17. Daniel Santín & Gabriela Sicilia, 2018. "Using DEA for measuring teachers’ performance and the impact on students’ outcomes: evidence for Spain," Journal of Productivity Analysis, Springer, vol. 49(1), pages 1-15, February.
    18. Brownback, Andy, 2018. "A classroom experiment on effort allocation under relative grading," Economics of Education Review, Elsevier, vol. 62(C), pages 113-128.
    19. Bach, Maximilian, 2019. "Strategic grade retention," ZEW Discussion Papers 19-059, ZEW - Leibniz Centre for European Economic Research.
    20. Cohen, Alison K., 2018. "An instrumental variables approach to assess the effect of class size reduction on student screen time," Social Science & Medicine, Elsevier, vol. 201(C), pages 63-70.
    21. Laura M. Argys & Susan L. Averett & Muzhe Yang, 2021. "Light pollution, sleep deprivation, and infant health at birth," Southern Economic Journal, John Wiley & Sons, vol. 87(3), pages 849-888, January.
    22. Annika B. Bergbauer, 2019. "Conditions and Consequences of Education – Microeconometric Analyses," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 86.
    23. Gurantz, Oded & Hurwitz, Michael & Smith, Jonathan, 2020. "Sibling effects on high school exam taking and performance," Journal of Economic Behavior & Organization, Elsevier, vol. 178(C), pages 534-549.
    24. Blaise Melly & Rafael Lalive, 2020. "Estimation, Inference, and Interpretation in the Regression Discontinuity Design," Diskussionsschriften dp2016, Universitaet Bern, Departement Volkswirtschaft.
    25. Dan M. Kluger & Art B. Owen, 2021. "Kernel regression analysis of tie-breaker designs," Papers 2101.09605, arXiv.org, revised Jan 2023.

Articles

  1. Joshua D. Angrist & Victor Lavy & Jetson Leder-Luis & Adi Shany, 2019. "Maimonides' Rule Redux," American Economic Review: Insights, American Economic Association, vol. 1(3), pages 309-324, December.
    See citations under working paper version above.
  2. Margaret E. Roberts & Brandon M. Stewart & Dustin Tingley & Christopher Lucas & Jetson Leder‐Luis & Shana Kushner Gadarian & Bethany Albertson & David G. Rand, 2014. "Structural Topic Models for Open‐Ended Survey Responses," American Journal of Political Science, John Wiley & Sons, vol. 58(4), pages 1064-1082, October.

    Cited by:

    1. Peter Grajzl & Peter Murrell, 2022. "Did Caselaw Foster England’s Economic Development during the Industrial Revolution? Data and Evidence," CESifo Working Paper Series 10088, CESifo.
    2. Sandra Wankmüller, 2023. "A comparison of approaches for imbalanced classification problems in the context of retrieving relevant documents for an analysis," Journal of Computational Social Science, Springer, vol. 6(1), pages 91-163, April.
    3. Peter Grajzl & Peter Murrell, 2020. "A Machine-Learning History of English Caselaw and Legal Ideas Prior to the Industrial Revolution I: Generating and Interpreting the Estimates," CESifo Working Paper Series 8774, CESifo.
    4. Minchul Lee & Min Song, 2020. "Incorporating citation impact into analysis of research trends," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1191-1224, August.
    5. J. Ignacio Conde-Ruiz & Juan-José Ganuza & Manu García & Luis A. Puch, 2021. "Gender Distribution across Topics in Top 5 Economics Journals: A Machine Learning Approach," Working Papers 1241, Barcelona School of Economics.
    6. Sergio Davalos & Ehsan H. Feroz, 2022. "A textual analysis of the US Securities and Exchange Commission's accounting and auditing enforcement releases relating to the Sarbanes–Oxley Act," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 29(1), pages 19-40, January.
    7. Marcel Fratzscher & Tobias Heidland & Lukas Menkhoff & Lucio Sarno & Maik Schmeling, 2020. "Foreign Exchange Intervention: A New Database," Discussion Papers of DIW Berlin 1915, DIW Berlin, German Institute for Economic Research.
    8. Keith Carlson & Michael A. Livermore & Daniel N. Rockmore, 2020. "The Problem of Data Bias in the Pool of Published U.S. Appellate Court Opinions," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 17(2), pages 224-261, June.
    9. Seraphine F. Maerz & Carsten Q. Schneider, 2020. "Comparing public communication in democracies and autocracies: automated text analyses of speeches by heads of government," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(2), pages 517-545, April.
    10. Kraus, Sascha & Kumar, Satish & Lim, Weng Marc & Kaur, Jaspreet & Sharma, Anuj & Schiavone, Francesco, 2023. "From moon landing to metaverse: Tracing the evolution of Technological Forecasting and Social Change," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    11. Mónica D. Oliveira & Inês Mataloto & Panos Kanavos, 2019. "Multi-criteria decision analysis for health technology assessment: addressing methodological challenges to improve the state of the art," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(6), pages 891-918, August.
    12. Dehler-Holland, Joris & Okoh, Marvin & Keles, Dogan, 2021. "The legitimacy of wind power in Germany," Working Paper Series in Production and Energy 54, Karlsruhe Institute of Technology (KIT), Institute for Industrial Production (IIP).
    13. Yongjun Zhang & Hao Lin & Yi Wang & Xinguang Fan, 2023. "Sinophobia was popular in Chinese language communities on Twitter during the early COVID-19 pandemic," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-12, December.
    14. Sumeet Sahay & Hemant Kumar Kaushik & Shikha Singh, 2023. "Discovering themes and trends in electricity supply chain area research," OPSEARCH, Springer;Operational Research Society of India, vol. 60(3), pages 1525-1560, September.
    15. Vydra Simon & Kantorowicz Jaroslaw, 2021. "Tracing Policy-relevant Information in Social Media: The Case of Twitter before and during the COVID-19 Crisis," Statistics, Politics and Policy, De Gruyter, vol. 12(1), pages 87-127, June.
    16. Grace Skogstad & Matt Wilder, 2019. "Strangers at the gate: the role of multidimensional ideas, policy anomalies and institutional gatekeepers in biofuel policy developments in the USA and European Union," Policy Sciences, Springer;Society of Policy Sciences, vol. 52(3), pages 343-366, September.
    17. Dehler-Holland, Joris & Schumacher, Kira & Fichtner, Wolf, 2021. "Topic Modeling Uncovers Shifts in Media Framing of the German Renewable Energy Act," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 2(1).
    18. Beatrice Ferrario & Stefanie Stantcheva, 2022. "Eliciting People's First-Order Concerns: Text Analysis of Open-Ended Survey Questions," AEA Papers and Proceedings, American Economic Association, vol. 112, pages 163-169, May.
    19. Federico Barravecchia & Luca Mastrogiacomo & Fiorenzo Franceschini, 2020. "Categorizing Quality Determinants in Mining User-Generated Contents," Sustainability, MDPI, vol. 12(23), pages 1-11, November.
    20. Alex Luscombe & Kevin Dick & Kevin Walby, 2022. "Algorithmic thinking in the public interest: navigating technical, legal, and ethical hurdles to web scraping in the social sciences," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(3), pages 1023-1044, June.
    21. Peter Grajzl & Peter Murrell, 2021. "Characterizing a legal–intellectual culture: Bacon, Coke, and seventeenth-century England," Cliometrica, Journal of Historical Economics and Econometric History, Association Française de Cliométrie (AFC), vol. 15(1), pages 43-88, January.
    22. Matthew J Salganik & Karen E C Levy, 2015. "Wiki Surveys: Open and Quantifiable Social Data Collection," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-17, May.
    23. Bongsug (Kevin) Chae & Eunhye (Olivia) Park, 2018. "Corporate Social Responsibility (CSR): A Survey of Topics and Trends Using Twitter Data and Topic Modeling," Sustainability, MDPI, vol. 10(7), pages 1-20, June.
    24. Stamolampros, Panagiotis & Korfiatis, Nikolaos & Chalvatzis, Konstantinos & Buhalis, Dimitrios, 2020. "Harnessing the “wisdom of employees” from online reviews," Annals of Tourism Research, Elsevier, vol. 80(C).
    25. Bokyong Shin & Chaitawat Boonjubun, 2021. "Media and the Meanings of Land: A South Korean Case Study," American Journal of Economics and Sociology, Wiley Blackwell, vol. 80(2), pages 381-425, March.
    26. Rose, Rodrigo L. & Puranik, Tejas G. & Mavris, Dimitri N. & Rao, Arjun H., 2022. "Application of structural topic modeling to aviation safety data," Reliability Engineering and System Safety, Elsevier, vol. 224(C).
    27. Jennifer Pan & Margaret E. Roberts, 2020. "Censorship’s Effect on Incidental Exposure to Information: Evidence From Wikipedia," SAGE Open, , vol. 10(1), pages 21582440198, February.
    28. Celso Brunetti & Marc Joëts & Valérie Mignon, 2024. "Reasons Behind Words: OPEC Narratives and the Oil Market," Finance and Economics Discussion Series 2024-003, Board of Governors of the Federal Reserve System (U.S.).
    29. Isabelle Vegt & Maximilian Mozes & Paul Gill & Bennett Kleinberg, 2021. "Online influence, offline violence: language use on YouTube surrounding the ‘Unite the Right’ rally," Journal of Computational Social Science, Springer, vol. 4(1), pages 333-354, May.
    30. Sanders, James & Lisi, Giulio & Schonhardt-Bailey, Cheryl, 2018. "Themes and topics in parliamentary oversight hearings: a new direction in textual data analysis," LSE Research Online Documents on Economics 87624, London School of Economics and Political Science, LSE Library.
    31. Li Tang & Jennifer Kuzma & Xi Zhang & Xinyu Song & Yin Li & Hongxu Liu & Guangyuan Hu, 2023. "Synthetic biology and governance research in China: a 40-year evolution," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(9), pages 5293-5310, September.
    32. Nils Augustin & Andreas Eckhardt & Alexander Willem Jong, 2023. "Understanding decentralized autonomous organizations from the inside," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-14, December.
    33. Szymon Sacher & Laura Battaglia & Stephen Hansen, 2021. "Hamiltonian Monte Carlo for Regression with High-Dimensional Categorical Data," Papers 2107.08112, arXiv.org, revised Feb 2024.
    34. Benjamin E. Bagozzi & Daniel Berliner & Zack W. Almquist, 2021. "When does open government shut? Predicting government responses to citizen information requests," Regulation & Governance, John Wiley & Sons, vol. 15(2), pages 280-297, April.
    35. Han, Chunjia & Yang, Mu & Piterou, Athena, 2021. "Do news media and citizens have the same agenda on COVID-19? an empirical comparison of twitter posts," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    36. Joanna Sterling & John T. Jost & Curtis D. Hardin, 2019. "Liberal and Conservative Representations of the Good Society: A (Social) Structural Topic Modeling Approach," SAGE Open, , vol. 9(2), pages 21582440198, May.
    37. Tobias Wekhof & Sébastien Houde, 2023. "Using narratives to infer preferences in understanding the energy efficiency gap," Nature Energy, Nature, vol. 8(9), pages 965-977, September.
    38. Imran Ali & Devika Kannan, 2022. "Mapping research on healthcare operations and supply chain management: a topic modelling-based literature review," Annals of Operations Research, Springer, vol. 315(1), pages 29-55, August.
    39. Nuccio Ludovico & Federica Dessi & Marino Bonaiuto, 2020. "Stakeholders Mapping for Sustainable Biofuels: An Innovative Procedure Based on Computational Text Analysis and Social Network Analysis," Sustainability, MDPI, vol. 12(24), pages 1-22, December.
    40. Candelon, Bertrand & Joëts, Marc & Mignon, Valérie, 2023. "What Makes Econometric Ideas Popular: The Role of Connectivity," LIDAM Discussion Papers LFIN 2023005, Université catholique de Louvain, Louvain Finance (LFIN).
    41. Pietsch, Andra-Selina & Lessmann, Stefan, 2018. "Topic Modeling for Analyzing Open-Ended Survey Responses," IRTG 1792 Discussion Papers 2018-054, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    42. Xieling Chen & Di Zou & Haoran Xie & Gary Cheng, 2021. "A Topic-Based Bibliometric Review of Computers in Human Behavior: Contributors, Collaborations, and Research Topics," Sustainability, MDPI, vol. 13(9), pages 1-21, April.
    43. ONO Yoshikuni & MIWA Hirofumi, 2020. "Gender Differences in Campaigning under Alternative Voting Systems: Evidence from a Quantitative Text Analysis of Election Manifestos in Japan," Discussion papers 20034, Research Institute of Economy, Trade and Industry (RIETI).
    44. Peter Grajzl & Peter Murrell, 2017. "Toward Understanding 17th Century English Culture: A Structural Topic Model of Francis Bacon's Ideas," CESifo Working Paper Series 6443, CESifo.
    45. Federico M. Ferrara & Donato Masciandaro & Manuela Moschella & Davide Romelli, 2021. "Political Voice on Monetary Policy: Evidence from the Parliamentary Hearings of the European Central Bank," BAFFI CAREFIN Working Papers 21159, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    46. Jo, Wonkwang & You, Myoungsoon, 2019. "News media’s framing of health policy and its implications for government communication: A text mining analysis of news coverage on a policy to expand health insurance coverage in South Korea," Health Policy, Elsevier, vol. 123(11), pages 1116-1124.
    47. Goodell, John W. & Kumar, Satish & Li, Xiao & Pattnaik, Debidutta & Sharma, Anuj, 2022. "Foundations and research clusters in investor attention: Evidence from bibliometric and topic modelling analysis," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 511-529.
    48. Sophie Balech & C. Benavent & M. Calciu & Julien Monnot, 2021. "The covid-19 crisis: an NLP exploration of the french Twitter feed (February-May 2020)," Working Papers hal-03134647, HAL.
    49. Sánchez-Franco, Manuel J. & Arenas-Márquez, Francisco J. & Alonso-Dos-Santos, Manuel, 2021. "Using structural topic modelling to predict users’ sentiment towards intelligent personal agents. An application for Amazon’s echo and Google Home," Journal of Retailing and Consumer Services, Elsevier, vol. 63(C).
    50. Grajzl, Peter & Murrell, Peter, 2023. "A macrohistory of legal evolution and coevolution: Property, procedure, and contract in early-modern English caselaw," International Review of Law and Economics, Elsevier, vol. 73(C).
    51. Savin, Ivan & Ott, Ingrid & Konop, Chris, 2022. "Tracing the evolution of service robotics: Insights from a topic modeling approach," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    52. Zhang, Han, 2021. "How Using Machine Learning Classification as a Variable in Regression Leads to Attenuation Bias and What to Do About It," SocArXiv 453jk, Center for Open Science.
    53. Andreas Rehs, 2020. "A structural topic model approach to scientific reorientation of economics and chemistry after German reunification," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1229-1251, November.
    54. Federica Genovese & Endre Tvinnereim, 2019. "Who opposes climate regulation? Business preferences for the European emission trading scheme," The Review of International Organizations, Springer, vol. 14(3), pages 511-542, September.
    55. Woohyuk Kim & Sung-Bum Kim & Eunhye Park, 2021. "Mapping Tourists’ Destination (Dis)Satisfaction Attributes with User-Generated Content," Sustainability, MDPI, vol. 13(22), pages 1-16, November.
    56. Susaeta, Andres & Rossato, Fabricia Gladys, 2021. "Efficiency of pulp and paper industry in the production of pulp and bioelectricity in Brazil," Forest Policy and Economics, Elsevier, vol. 128(C).
    57. Dukalskis, Alexander & Gerschewski, Johannes, 2020. "Adapting or Freezing? Ideological Reactions of Communist Regimes to a Post-Communist World," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 55(3), pages 511-532.
    58. Ibrocevic, Edin & Thiemann, Matthias, 2018. "All economic ideas are equal, but some are more equal than others: A differentiated perspective on macroprudential ideas and their implementation," SAFE Working Paper Series 214, Leibniz Institute for Financial Research SAFE.
    59. Edward Kerby & Alexander Moradi & Hanjo Odendaal, 2022. "African time travellers: what can we learn from 500 years of written accounts?," Oxford Economic and Social History Working Papers _201, University of Oxford, Department of Economics.
    60. Eunhye Park & Junehee Kwon & Bongsug (Kevin) Chae & Sung-Bum Kim, 2021. "What Are the Salient and Memorable Green-Restaurant Attributes? Capturing Customer Perceptions From User-Generated Content," SAGE Open, , vol. 11(3), pages 21582440211, July.
    61. Savin, Ivan & Drews, Stefan & van den Bergh, Jeroen, 2021. "Free associations of citizens and scientists with economic and green growth: A computational-linguistics analysis," Ecological Economics, Elsevier, vol. 180(C).
    62. Valentina Anzoise & Debora Slanzi & Irene Poli, 2020. "Local stakeholders’ narratives about large-scale urban development: The Zhejiang Hangzhou Future Sci-Tech City," Urban Studies, Urban Studies Journal Limited, vol. 57(3), pages 655-671, February.
    63. Maximilian Weber, 2021. "How Do 50-Year-Olds Imagine Their Future: Social Class and Gender Disparities," SAGE Open, , vol. 11(4), pages 21582440211, November.
    64. Benjamin W Chrisinger & Eliza W Kinsey & Ellie Pavlick & Chris Callison-Burch, 2020. "SNAP judgments into the digital age: Reporting on food stamps varies significantly with time, publication type, and political leaning," PLOS ONE, Public Library of Science, vol. 15(2), pages 1-19, February.
    65. Schonhardt-Bailey, Cheryl & Dann, Christopher & Chapman, Jacob, 2022. "The accountability gap: Deliberation on monetary policy in Britain and America during the financial crisis," European Journal of Political Economy, Elsevier, vol. 74(C).
    66. Phillips, Julie A. & Davidson, Thomas R. & Baffoe-Bonnie, Marilyn S., 2023. "Identifying latent themes in suicide among black and white adolescents and young adults using the National Violent Death Reporting System, 2013–2019," Social Science & Medicine, Elsevier, vol. 334(C).
    67. Schonhardt-Bailey, Cheryl & Dann, Christopher & Chapman, Jacob, 2022. "The accountability gap: deliberation on monetary policy in Britain and America during the financial crisis," LSE Research Online Documents on Economics 114364, London School of Economics and Political Science, LSE Library.
    68. Peter Grajzl & Cindy Irby, 2019. "Reflections on study abroad: a computational linguistics approach," Journal of Computational Social Science, Springer, vol. 2(2), pages 151-181, July.
    69. Oliver Wieczorek & Saïd Unger & Jan Riebling & Lukas Erhard & Christian Koß & Raphael Heiberger, 2021. "Mapping the field of psychology: Trends in research topics 1995–2015," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(12), pages 9699-9731, December.
    70. Xieling Chen & Juan Chen & Gary Cheng & Tao Gong, 2020. "Topics and trends in artificial intelligence assisted human brain research," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-27, April.
    71. Ulrich Fritsche & Johannes Puckelwald, 2018. "Deciphering Professional Forecasters’ Stories - Analyzing a Corpus of Textual Predictions for the German Economy," Macroeconomics and Finance Series 201804, University of Hamburg, Department of Socioeconomics.
    72. Eunhye (Olivia) Park & Bongsug (Kevin) Chae & Junehee Kwon & Woo-Hyuk Kim, 2020. "The Effects of Green Restaurant Attributes on Customer Satisfaction Using the Structural Topic Model on Online Customer Reviews," Sustainability, MDPI, vol. 12(7), pages 1-20, April.
    73. Nuccio Ludovico & Marc Esteve Del Valle & Franco Ruzzenenti, 2020. "Mapping the Dutch Energy Transition Hyperlink Network," Sustainability, MDPI, vol. 12(18), pages 1-24, September.
    74. Fabrizio Gilardi & Charles R. Shipan & Bruno Wüest, 2021. "Policy Diffusion: The Issue‐Definition Stage," American Journal of Political Science, John Wiley & Sons, vol. 65(1), pages 21-35, January.
    75. Caroline E Nowacki & Ashby Monk & Bertrand Decoster, 2021. "Who do sovereign wealth funds say they are? Using structural topic modeling to delineate variegated capitalism in their official reports," Environment and Planning A, , vol. 53(4), pages 828-857, June.
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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 7 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-LAW: Law and Economics (4) 2019-11-25 2021-12-20 2023-03-27 2023-04-17
  2. NEP-HEA: Health Economics (3) 2019-11-25 2021-12-20 2023-04-17
  3. NEP-ACC: Accounting and Auditing (2) 2023-01-23 2023-03-27
  4. NEP-AGE: Economics of Ageing (1) 2023-04-17
  5. NEP-BIG: Big Data (1) 2023-03-27
  6. NEP-CMP: Computational Economics (1) 2023-03-27
  7. NEP-DES: Economic Design (1) 2023-04-17
  8. NEP-IAS: Insurance Economics (1) 2019-11-25
  9. NEP-LMA: Labor Markets - Supply, Demand, and Wages (1) 2017-06-18
  10. NEP-MAC: Macroeconomics (1) 2023-04-17
  11. NEP-PUB: Public Finance (1) 2023-03-27
  12. NEP-URE: Urban and Real Estate Economics (1) 2017-06-18

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