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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)

(98%) Markets, Public Policy and Law Department
Questrom School of Business
Boston University

Boston, Massachusetts (United States)
https://www.bu.edu/questrom/faculty-research/academic-departments/markets-public-policy-law/
RePEc:edi:mppbuus (more details at EDIRC)

(1%) Department of Economics
Boston University

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

Research output

as
Jump to: Working papers Articles

Working papers

  1. Umang Khetan & Jetson Leder-Luis & Jialan Wang & Yunrong Zhou, 2024. "Unemployment Insurance Fraud in the Debit Card Market," NBER Working Papers 32527, National Bureau of Economic Research, Inc.
  2. Martina Cuneo & Jetson Leder-Luis & Silvia Vannutelli, 2023. "Government Audits," NBER Working Papers 30975, National Bureau of Economic Research, Inc.
  3. 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.
  4. 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.
  5. Jean Ensminger & Jetson Leder-Luis, 2022. "Detecting Fraud in Development Aid," NBER Working Papers 30768, National Bureau of Economic Research, Inc.
  6. 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.
  7. Jetson Leder-Luis, 2019. "Whistleblowers, The False Claims Act, and the Behavior of Healthcare Providers," 2019 Papers ple1069, Job Market Papers.
  8. 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. David H. Howard & Ian McCarthy, 2020. "Deterrence Effects of Antifraud and Abuse Enforcement in Health Care," NBER Working Papers 27900, National Bureau of Economic Research, Inc.

  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. Maximilian Bach & Stephan Sievert, 2019. "Birth Cohort Size Variation and the Estimation of Class Size Effects," Discussion Papers of DIW Berlin 1817, DIW Berlin, German Institute for Economic Research.
    3. 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.
    4. Jules Gazeaud & Claire Ricard, 2021. "Conditional Cash Transfers and the Learning Crisis : Evidence from Tayssir Scale-up in Morocco," Working Papers hal-03137463, HAL.
    5. 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.
    6. 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).
    7. 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.
    8. 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.
    9. Saleh, Mohamed & Assaad, Ragui & ,, 2019. "Impact of Syrian Refugees on Education Outcomes in Jordan," CEPR Discussion Papers 14056, C.E.P.R. Discussion Papers.
    10. Rosa Sanchis-Guarner & José Montalbán & Felix Weinhardt, 2021. "Home Broadband and Human Capital Formation," CESifo Working Paper Series 8846, CESifo.
    11. David Frayman & Christian Krekel & Richard Layard & Sara MacLennan & Isaac Parkes, 2024. "Value for money: How to improve wellbeing and reduce misery," CEP Reports 44, Centre for Economic Performance, LSE.
    12. Bach, Maximilian, 2019. "Strategic grade retention," ZEW Discussion Papers 19-059, ZEW - Leibniz Centre for European Economic Research.
    13. Gian Paolo Barbetta & Giuseppe Sorrenti & Gilberto Turati, 2021. "Multigrading and Child Achievement," Journal of Human Resources, University of Wisconsin Press, vol. 56(3), pages 940-968.
    14. Alberto Abadie, 2018. "Statistical Non-Significance in Empirical Economics," NBER Working Papers 24403, National Bureau of Economic Research, Inc.
    15. 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.
    16. Franco, Catalina & Povea, Erika, 2024. "Innocuous Exam Features? The Impact of Answer Placement on High-Stakes Test Performance and College Admissions," Discussion Paper Series in Economics 4/2024, Norwegian School of Economics, Department of Economics.
    17. Gazeaud, Jules & Ricard, Claire, 2024. "Learning effects of conditional cash transfers: The role of class size and composition," Journal of Development Economics, Elsevier, vol. 166(C).
    18. Ludger Wößmann & Philipp Lergetporer & Elisabeth Grewenig & Sarah Kersten & Katharina Werner, 2018. "Denken Jugendliche anders über Bildungspolitik als Erwachsene?," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 71(17), pages 31-45, September.
    19. 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.
    20. 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.
    21. 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.
    22. 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.
    23. 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.
    24. Adrien Bouguen & Julien Grenet & Marc Gurgand, 2017. "Does class size influence student achievement?," Post-Print halshs-02522747, HAL.
    25. Blaise Melly & Rafael Lalive, 2020. "Estimation, Inference, and Interpretation in the Regression Discontinuity Design," Diskussionsschriften dp2016, Universitaet Bern, Departement Volkswirtschaft.
    26. Dan M. Kluger & Art B. Owen, 2021. "Kernel regression analysis of tie-breaker designs," Papers 2101.09605, arXiv.org, revised Jan 2023.
    27. 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.
    28. 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.
    29. Brownback, Andy, 2018. "A classroom experiment on effort allocation under relative grading," Economics of Education Review, Elsevier, vol. 62(C), pages 113-128.

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. Beatrice Ferrario & Stefanie Stantcheva, 2022. "Eliciting People's First-Order Concerns: Text Analysis of Open-Ended Survey Questions," NBER Working Papers 29686, National Bureau of Economic Research, Inc.
    2. 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).
    3. 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.
    4. J. Ignacio Conde-Ruiz & Juan José Ganuza & Manu Garcia & Luis A. Puch, 2021. "Gender distribution across topics in Top 5 economics journals: A machine learning approach," Economics Working Papers 1771, Department of Economics and Business, Universitat Pompeu Fabra.
    5. 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.
    6. Ferrara, Federico M. & Masciandaro, Donato & Moschella, Manuela & Romelli, Davide, 2022. "Political voice on monetary policy: Evidence from the parliamentary hearings of the European Central Bank," European Journal of Political Economy, Elsevier, vol. 74(C).
    7. 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.
    8. Valérie Mignon & Marc Joëts & Bertrand Candelon, 2023. "What Makes Econometric Ideas Popular: The Role of Connectivity," EconomiX Working Papers 2023-35, University of Paris Nanterre, EconomiX.
    9. 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.
    10. 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.
    11. 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.
    12. Dehler-Holland, Joris & Okoh, Marvin & Keles, Dogan, 2022. "Assessing technology legitimacy with topic models and sentiment analysis – The case of wind power in Germany," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    13. 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.
    14. Everett, Jeff & Shiraz Rahaman, Abu & Neu, Dean & Saxton, Gregory, 2024. "Letters to the editor, institutional experimentation, and the public accounting professional," CRITICAL PERSPECTIVES ON ACCOUNTING, Elsevier, vol. 99(C).
    15. Minchul Lee & Min Song, 2020. "Incorporating citation impact into analysis of research trends," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1191-1224, August.
    16. 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).
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. 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.
    23. Yan, Jason & Hall, Seventy F. & Sage, Melanie & Du, Yuhao & Joseph, Kenneth, 2024. "A computational social science approach to understanding predictors of Chafee service receipt," Children and Youth Services Review, Elsevier, vol. 158(C).
    24. 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.
    25. 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.
    26. 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).
    27. David Ardia & Keven Bluteau & Mohammad‐Abbas Meghani, 2024. "Thirty years of academic finance," Journal of Economic Surveys, Wiley Blackwell, vol. 38(3), pages 1008-1042, July.
    28. 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.
    29. Maximilian Weber, 2021. "How Do 50-Year-Olds Imagine Their Future: Social Class and Gender Disparities," SAGE Open, , vol. 11(4), pages 21582440211, November.
    30. 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).
    31. 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.
    32. 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).
    33. 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.
    34. 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).
    35. Peter Grajzl & Peter Murrell, 2021. "Characterizing a legal–intellectual culture: Bacon, Coke, and seventeenth-century England," Cliometrica, Springer;Cliometric Society (Association Francaise de Cliométrie), vol. 15(1), pages 43-88, January.
    36. 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.
    37. 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.
    38. 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.
    39. 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.
    40. 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.
    41. Laura Battaglia & Timothy Christensen & Stephen Hansen & Szymon Sacher, 2024. "Inference for Regression with Variables Generated from Unstructured Data," CESifo Working Paper Series 11119, CESifo.
    42. 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.
    43. 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.
    44. 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.
    45. 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.
    46. 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.
    47. 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.
    48. 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.
    49. 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.
    50. Damani K. White-Lewis & KerryAnn O’Meara & Kiernan Mathews & Nicholas Havey, 2023. "Leaving the Institution or Leaving the Academy? Analyzing the Factors that Faculty Weigh in Actual Departure Decisions," Research in Higher Education, Springer;Association for Institutional Research, vol. 64(3), pages 473-494, May.
    51. Mortenson, Michael J. & Vidgen, Richard, 2016. "A computational literature review of the technology acceptance model," International Journal of Information Management, Elsevier, vol. 36(6), pages 1248-1259.
    52. 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).
    53. Eyal Eckhaus & Nitza Davidovitch, 2023. "What Do Academic Faculty Members Think of Performance Measures of Academic Teaching? A Case Study From a 10-Year Perspective," SAGE Open, , vol. 13(2), pages 21582440231, June.
    54. Kumar, Vivek & Srivastava, Arpita, 2022. "Trends in the thematic landscape of corporate social responsibility research: A structural topic modeling approach," Journal of Business Research, Elsevier, vol. 150(C), pages 26-37.
    55. Federico Barravecchia & Luca Mastrogiacomo & Fiorenzo Franceschini, 2020. "Categorizing Quality Determinants in Mining User-Generated Contents," Sustainability, MDPI, vol. 12(23), pages 1-11, November.
    56. Howoldt, David, 2024. "Characterising innovation policy mixes in innovation systems," Research Policy, Elsevier, vol. 53(2).
    57. 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.
    58. 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.
    59. 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.
    60. Mourtgos, Scott M. & Adams, Ian T., 2019. "The rhetoric of de-policing: Evaluating open-ended survey responses from police officers with machine learning-based structural topic modeling," Journal of Criminal Justice, Elsevier, vol. 64(C), pages 1-1.
    61. Leonardo Cei & Edi Defrancesco & Gianluca Stefani, 2022. "What topic modelling can show about the development of agricultural economics: evidence from the Journal Citation Report category top journals," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 49(2), pages 289-330.
    62. 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).
    63. 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.
    64. J. Ignacio Conde-Ruiz & Juan-José Ganuza & Manu García & Luis A. Puch, 2022. "Gender distribution across topics in the top five economics journals: a machine learning approach," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 13(1), pages 269-308, May.
    65. Michal Ovádek & Nicolas Lampach & Arthur Dyevre, 2020. "What’s the talk in Brussels? Leveraging daily news coverage to measure issue attention in the European Union," European Union Politics, , vol. 21(2), pages 204-232, June.
    66. 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).
    67. Lundberg, Ian & Brand, Jennie E. & Jeon, Nanum, 2022. "Researcher reasoning meets computational capacity: Machine learning for social science," SocArXiv s5zc8, Center for Open Science.
    68. 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.
    69. Eunhye Park & Junehee Kwon & Sung-Bum Kim, 2021. "Green Marketing Strategies on Online Platforms: A Mixed Approach of Experiment Design and Topic Modeling," Sustainability, MDPI, vol. 13(8), pages 1-17, April.
    70. 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.).
    71. Peter Grajzl & Peter Murrell, 2023. "Of families and inheritance: law and development in England before the Industrial Revolution," Cliometrica, Springer;Cliometric Society (Association Francaise de Cliométrie), vol. 17(3), pages 387-432, September.
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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-LAW: Law and Economics (5) 2019-11-25 2021-12-20 2023-03-27 2023-04-17 2024-07-08. Author is listed
  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-BIG: Big Data (2) 2023-03-27 2024-07-08
  5. NEP-CMP: Computational Economics (2) 2023-03-27 2024-07-08
  6. NEP-AGE: Economics of Ageing (1) 2023-04-17
  7. NEP-DES: Economic Design (1) 2023-04-17
  8. NEP-IAS: Insurance Economics (1) 2019-11-25
  9. NEP-LAB: Labour Economics (1) 2024-07-08
  10. NEP-LMA: Labor Markets - Supply, Demand, and Wages (1) 2017-06-18
  11. NEP-MAC: Macroeconomics (1) 2023-04-17
  12. NEP-PUB: Public Finance (1) 2023-03-27
  13. NEP-URE: Urban and Real Estate Economics (1) 2017-06-18

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