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The bivariate probit model, maximum likelihood estimation, pseudo true parameters and partial identification

Citations

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Cited by:

  1. Liqiong Lin & Weizhuo Wang & Christopher Gan & David A. Cohen & Quang T.T Nguyen, 2019. "Rural Credit Constraint and Informal Rural Credit Accessibility in China," Sustainability, MDPI, vol. 11(7), pages 1-20, April.
  2. Hauk, Esther & Oviedo, Mónica & Ramos, Xavier, 2022. "Perception of corruption and public support for redistribution in Latin America," European Journal of Political Economy, Elsevier, vol. 74(C).
  3. Santiago Acerenza & Otávio Bartalotti & Désiré Kédagni, 2023. "Testing identifying assumptions in bivariate probit models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(3), pages 407-422, April.
  4. Abayomi Samuel Oyekale, 2021. "Willingness to Take COVID-19 Vaccines in Ethiopia: An Instrumental Variable Probit Approach," IJERPH, MDPI, vol. 18(17), pages 1-11, August.
  5. Qinan Lu & Xiaodong Du & Huanguang Qiu, 2022. "Adoption patterns and productivity impacts of agricultural mechanization services," Agricultural Economics, International Association of Agricultural Economists, vol. 53(5), pages 826-845, September.
  6. Ponguane, Sérgio & Mucavele, Nézia, 2018. "Determinants of Agricultural Technology Adoption in Chókwè District, Mozambique," MPRA Paper 86284, University Library of Munich, Germany, revised 13 Apr 2018.
  7. Hasanov, Rashad & Bhattacharya, Prasad Sankar, 2019. "Do political factors influence banking crisis?," Economic Modelling, Elsevier, vol. 76(C), pages 305-318.
  8. David T. Frazier & Eric Renault & Lina Zhang & Xueyan Zhao, 2020. "Weak Identification in Discrete Choice Models," Papers 2011.06753, arXiv.org, revised Jan 2021.
  9. Lina Zhang & David T. Frazier & Don S. Poskitt & Xueyan Zhao, 2020. "Decomposing Identification Gains and Evaluating Instrument Identification Power for Partially Identified Average Treatment Effects," Monash Econometrics and Business Statistics Working Papers 34/20, Monash University, Department of Econometrics and Business Statistics.
  10. Di Novi, Cinzia & Martini, Gianmaria & Sturaro, Caterina, 2023. "The impact of informal and formal care disruption on older adults’ psychological distress during the COVID-19 pandemic in UK," Economics & Human Biology, Elsevier, vol. 49(C).
  11. Donald S. Poskitt & Xueyan Zhao, 2023. "Bootstrap Hausdorff Confidence Regions for Average Treatment Effect Identified Sets," Monash Econometrics and Business Statistics Working Papers 9/23, Monash University, Department of Econometrics and Business Statistics.
  12. Li, Chen & Swaminathan, Srinivasan & Kim, Junhee, 2021. "The role of marketing channels in consumers’ promotional point redemption decisions," Journal of Business Research, Elsevier, vol. 125(C), pages 314-323.
  13. Jing Peng, 2023. "Identification of Causal Mechanisms from Randomized Experiments: A Framework for Endogenous Mediation Analysis," Information Systems Research, INFORMS, vol. 34(1), pages 67-84, March.
  14. Díaz, Juan & Grau, Nicolás & Reyes, Tatiana & Rivera, Jorge, 2021. "The impact of grade retention on juvenile crime," Economics of Education Review, Elsevier, vol. 84(C).
  15. Arora, Varun & Chakravarty, Sujoy & Kapoor, Hansika & Mukherjee, Shagata & Roy, Shubhabrata & Tagat, Anirudh, 2023. "No going back: COVID-19 disease threat perception and male migrants' willingness to return to work in India," Journal of Economic Behavior & Organization, Elsevier, vol. 209(C), pages 533-546.
  16. Edobor, Edeoba W. & Wiatt, Renee D. & Marshall, Maria I., 2021. "Keeping the farm business in the family: the case of farm and non-farm family businesses in the midwestern United States," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 24(6), February.
  17. William Greene & Mark N. Harris & Preety Srivastava & Xueyan Zhao, 2018. "Misreporting and econometric modelling of zeros in survey data on social bads: An application to cannabis consumption," Health Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 372-389, February.
  18. Lungu, Harad Chuma, 2019. "Determinants of climate smart agricultural technology adoption in the Northern Province of Zambia," Research Theses 334754, Collaborative Masters Program in Agricultural and Applied Economics.
  19. Li, Chuhui & Cheng, Wenli & Shi, Hui, 2021. "Early marriage and maternal health care utilisation: Evidence from sub-Saharan Africa," Economics & Human Biology, Elsevier, vol. 43(C).
  20. Marther W. Ngigi & Elijah N. Muange, 2022. "Access to climate information services and climate-smart agriculture in Kenya: a gender-based analysis," Climatic Change, Springer, vol. 174(3), pages 1-23, October.
  21. Craig E. Landry & Dylan Turner & Daniel Petrolia, 2021. "Flood Insurance Market Penetration and Expectations of Disaster Assistance," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 79(2), pages 357-386, June.
  22. Cinzia Di Novi & Matija Kovacic & Cristina Elisa Orso, 2023. "Online Health Information Seeking Behavior, Healthcare Access, and Health Status During Exceptional Times," Working Papers 2023: 26, Department of Economics, University of Venice "Ca' Foscari".
  23. Wang, Menghan & Liu, Zhong & Xu, Aiyan & Yang, Dan, 2022. "Fuel choice for rural Tibetan households: Impacts of access to credit," Energy Economics, Elsevier, vol. 115(C).
  24. Amadu, Festus O. & McNamara, Paul E. & Miller, Daniel C., 2020. "Understanding the adoption of climate-smart agriculture: A farm-level typology with empirical evidence from southern Malawi," World Development, Elsevier, vol. 126(C).
  25. Rong Xu & Yating Zhan & Jialan Zhang & Qiang He & Kuan Zhang & Dingde Xu & Yanbin Qi & Xin Deng, 2022. "Does Construction of High-Standard Farmland Improve Recycle Behavior of Agricultural Film? Evidence from Sichuan, China," Agriculture, MDPI, vol. 12(10), pages 1-14, October.
  26. Yili Hong & Jing Peng & Gordon Burtch & Ni Huang, 2021. "Just DM Me (Politely): Direct Messaging, Politeness, and Hiring Outcomes in Online Labor Markets," Information Systems Research, INFORMS, vol. 32(3), pages 786-800, September.
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