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The misuse of the Vuong test for non-nested models to test for zero-inflation

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Cited by:

  1. João M. C. Santos Silva, 2017. "Local maxima in the estimation of the ZINB and sample selection models," United Kingdom Stata Users' Group Meetings 2017 07, Stata Users Group.
  2. Christian Balcells, 2022. "Determinants of firm boundaries and organizational performance: an empirical investigation of the Chilean truck market," Journal of Evolutionary Economics, Springer, vol. 32(2), pages 423-461, April.
  3. Anders Van Sandt & Craig Wesley Carpenter & Rebekka Dudensing & Scott Loveridge, 2021. "Estimating determinants of healthcare establishment locations with restricted federal administrative data," Health Economics, John Wiley & Sons, Ltd., vol. 30(6), pages 1328-1346, June.
  4. Danny Pfeffermann & Arie Preminger, 2021. "Estimation Under Mode Effects and Proxy Surveys, Accounting for Non-ignorable Nonresponse," Sankhya A: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 83(2), pages 779-813, August.
  5. Jordán, Cristian & Speelman, Stijn, 2020. "On-farm adoption of irrigation technologies in two irrigated valleys in Central Chile: The effect of relative abundance of water resources," Agricultural Water Management, Elsevier, vol. 236(C).
  6. Monika Stachowiak-Kudła & Janusz Kudła, 2023. "Measuring the prestige of administrative courts," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(4), pages 3637-3662, August.
  7. Rafat Mahmood & Michael Jetter, 2020. "Communications Technology and Terrorism," Journal of Conflict Resolution, Peace Science Society (International), vol. 64(1), pages 127-166, January.
  8. A.-M. Esnard & B. S. Lai & C. Wyczalkowski & N. Malmin & H. J. Shah, 2018. "School vulnerability to disaster: examination of school closure, demographic, and exposure factors in Hurricane Ike’s wind swath," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 90(2), pages 513-535, January.
  9. Liangxiong Huang & Peilun Li & Xianbin Wang & Caiting Yang, 2023. "The Geographical Rotation of Local Officials and Enterprise Cross‐city Mergers and Acquisitions in China," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 31(4), pages 66-89, July.
  10. Alexander Jung, 2018. "Have money and credit data releases helped markets to predict the interest rate decisions of the European Central Bank?," Scottish Journal of Political Economy, Scottish Economic Society, vol. 65(1), pages 39-67, February.
  11. Marzieh Shahmandi & Paul Wilson & Mike Thelwall, 2020. "A new algorithm for zero-modified models applied to citation counts," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 993-1010, November.
  12. Anna B. Zaremba & Gareth W. Peters, 2022. "Statistical Causality for Multivariate Nonlinear Time Series via Gaussian Process Models," Methodology and Computing in Applied Probability, Springer, vol. 24(4), pages 2587-2632, December.
  13. David Dale & Andrei Sirchenko, 2021. "Estimation of nested and zero-inflated ordered probit models," Stata Journal, StataCorp LP, vol. 21(1), pages 3-38, March.
  14. Adam C. Howe & Mark C. J. Stoddart & David B. Tindall, 2020. "Media Coverage and Perceived Policy Influence of Environmental Actors: Good Strategy or Pyrrhic Victory?," Politics and Governance, Cogitatio Press, vol. 8(2), pages 298-310.
  15. Ehsan Bahrami Samani & Elham Tabrizi, 2023. "Joint Linear Modeling of Mixed Data and Its Application to Email Analysis," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 85(1), pages 175-209, May.
  16. Trey Malone & Jayson L. Lusk, 2016. "Brewing up entrepreneurship: government intervention in beer," Journal of Entrepreneurship and Public Policy, Emerald Group Publishing Limited, vol. 5(3), pages 325-342, November.
  17. Diexin Chen & Yuxiang Xiao & Kaicheng Huang & Xiumin Li, 2022. "Research on the Correlation and Influencing Factors of Digital Technology Innovation in the Guangdong–Hong Kong–Macao Greater Bay Area," Sustainability, MDPI, vol. 14(22), pages 1-18, November.
  18. Greene, William & Harris, Mark N. & Knott, Rachel & Rice, Nigel, 2023. "Reporting heterogeneity in modeling self-assessed survey outcomes," Economic Modelling, Elsevier, vol. 124(C).
  19. Xie, En & Li, Fanshu & Wu, Zhan & Kumar, Vikas, 2024. "State ownership and Chinese private firms’ OFDI in developed economies," Journal of World Business, Elsevier, vol. 59(3).
  20. Craig W. Carpenter & Anders Van Sandt & Rebekka Dudensing & Scott Loveridge, 2022. "Profit Pools and Determinants of Potential County-Level Manufacturing Growth," International Regional Science Review, , vol. 45(2), pages 188-224, March.
  21. Thelwall, Mike, 2016. "Are there too many uncited articles? Zero inflated variants of the discretised lognormal and hooked power law distributions," Journal of Informetrics, Elsevier, vol. 10(2), pages 622-633.
  22. Thelwall, Mike, 2016. "Are the discretised lognormal and hooked power law distributions plausible for citation data?," Journal of Informetrics, Elsevier, vol. 10(2), pages 454-470.
  23. Sarah Brown & Mark N. Harris & Christopher Spencer, 2020. "Modelling Category Inflation with Multiple Inflation Processes: Estimation, Specification and Testing," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(6), pages 1342-1361, December.
  24. Yanyang Yan & Juan Wang & Sijia Qiao, 2022. "Effects of Industrial Policy on Firms’ Innovation Outputs: Evidence From China," SAGE Open, , vol. 12(3), pages 21582440221, September.
  25. Verkade, Emiel & Bakens, Jessie, 2020. "Commuter flow predictions in POA: Evaluation study," ROA Technical Report 005, Maastricht University, Research Centre for Education and the Labour Market (ROA).
  26. Linda M. Haines, 2020. "Multinomial N‐mixture models for removal sampling," Biometrics, The International Biometric Society, vol. 76(2), pages 540-548, June.
  27. Elbakidze, Levan & Beeson, Quinn, 2020. "State Regulatory Heterogeneity and Clean Water Act Compliance," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304638, Agricultural and Applied Economics Association.
  28. Počuča, Nikola & Jevtić, Petar & McNicholas, Paul D. & Miljkovic, Tatjana, 2020. "Modeling frequency and severity of claims with the zero-inflated generalized cluster-weighted models," Insurance: Mathematics and Economics, Elsevier, vol. 94(C), pages 79-93.
  29. Fariñas, José C. & Martín-Marcos, Ana & Velázquez, Francisco J., 2019. "Estimating the Scope Elasticity of Multinational Firms: An Empirical Assessment," MPRA Paper 94990, University Library of Munich, Germany.
  30. Zhihong Huang & Qianjin Zong & Xuerui Ji, 2022. "The associations between scientific collaborations of LIS research and its policy impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6453-6470, November.
  31. Wakil, Gulraze & Petruska, Karin A., 2022. "Does mandatory IFRS adoption affect large and small public firms' accounting quality differently? Evidence from Canada," Advances in accounting, Elsevier, vol. 57(C).
  32. Derek S. Young & Andrew M. Raim & Nancy R. Johnson, 2017. "Zero-inflated modelling for characterizing coverage errors of extracts from the US Census Bureau's Master Address File," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 180(1), pages 73-97, January.
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