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Causality: Some Statistical Aspects

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Cited by:

  1. Guido W. Imbens, 2020. "Potential Outcome and Directed Acyclic Graph Approaches to Causality: Relevance for Empirical Practice in Economics," Journal of Economic Literature, American Economic Association, vol. 58(4), pages 1129-1179, December.
  2. Wunsch, Guillaume & Mouchart, Michel & Russo, Federica, 2017. "Causal attribution in block-recursive social sytems. A structural modeling perspective," LIDAM Discussion Papers ISBA 2017029, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
  3. Alok Bhargava & Dean T. Jamison & Lawrence J. Lau & Christopher J. L. Murray, 2006. "Modeling the effects of health on economic growth," World Scientific Book Chapters, in: Econometrics, Statistics And Computational Approaches In Food And Health Sciences, chapter 20, pages 269-286, World Scientific Publishing Co. Pte. Ltd..
  4. Donato Romano & Silvio Traverso, 2020. "Disentangling the Impact of International Migration on Food and Nutrition Security of Left-Behind Households: Evidence from Bangladesh," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 32(4), pages 783-811, September.
  5. Constantine E. Frangakis & Donald B. Rubin & Ming-Wen An & Ellen MacKenzie, 2007. "Principal Stratification Designs to Estimate Input Data Missing Due to Death," Biometrics, The International Biometric Society, vol. 63(3), pages 641-649, September.
  6. Abbas, Faisal & Choudhury, Nirmalya, 2013. "Electricity consumption-economic growth Nexus: An aggregated and disaggregated causality analysis in India and Pakistan," Journal of Policy Modeling, Elsevier, vol. 35(4), pages 538-553.
  7. Christina L. Boyd & Lee Epstein & Andrew D. Martin, 2010. "Untangling the Causal Effects of Sex on Judging," American Journal of Political Science, John Wiley & Sons, vol. 54(2), pages 389-411, April.
  8. Rasmus Hoffmann & Hannes Kröger & Siegfried Geyer, 2019. "Social Causation Versus Health Selection in the Life Course: Does Their Relative Importance Differ by Dimension of SES?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(3), pages 1341-1367, February.
  9. Alok Bhargava, 2006. "Modelling the Health of Filipino Children," World Scientific Book Chapters, in: Econometrics, Statistics And Computational Approaches In Food And Health Sciences, chapter 11, pages 153-168, World Scientific Publishing Co. Pte. Ltd..
  10. M. Mouchart & R. Orsi & G. Wunsch, 2020. "Causality in Econometric Modeling. From Theory to Structural Causal Modeling," Working Papers wp1143, Dipartimento Scienze Economiche, Universita' di Bologna.
  11. Susan Athey & Guido Imbens, 2016. "The Econometrics of Randomized Experiments," Papers 1607.00698, arXiv.org.
  12. Guillaume Wunsch & Federica Russo & Michel Mouchart & Renzo Orsi, 2020. "Time and Causality in the Social Sciences," Working Papers wp1155, Dipartimento Scienze Economiche, Universita' di Bologna.
  13. Duo Qin, 2019. "Let’s take the bias out of econometrics," Journal of Economic Methodology, Taylor & Francis Journals, vol. 26(2), pages 81-98, April.
  14. Christian Durán, 2004. "Evaluación microeconométrica de las políticas públicas de empleo: aspectos metodológicos," Hacienda Pública Española / Review of Public Economics, IEF, vol. 170(3), pages 107-133, september.
  15. Gianluca Manzo, 2006. "“Generative Mechanisms and Multivariate Statistical Analysis: Modeling Educational Opportunity Inequality with a Multi-Matrix Log-Linear Topological Model: Contributions and Limitations”," Quality & Quantity: International Journal of Methodology, Springer, vol. 40(5), pages 721-758, October.
  16. Mouchart, M. & Wunsch, G. & Russo, F., 2015. "The issue of control in multivariate systems A contribution of structural modelling," LIDAM Discussion Papers CORE 2015029, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  17. Imbens, Guido W., 2014. "Instrumental Variables: An Econometrician's Perspective," IZA Discussion Papers 8048, Institute of Labor Economics (IZA).
  18. Michael Lechner, 2002. "Mikroökonometrische Evaluation arbeitsmarktpolitischer Massnahmen," University of St. Gallen Department of Economics working paper series 2002 2002-20, Department of Economics, University of St. Gallen.
  19. Brain, M.J & Nahuelhual, L. & Gelcich, S. & Bozzeda, F., 2020. "Marine conservation may not deliver ecosystem services and benefits to all: Insights from Chilean Patagonia," Ecosystem Services, Elsevier, vol. 45(C).
  20. Guido W. Imbens, 2022. "Causality in Econometrics: Choice vs Chance," Econometrica, Econometric Society, vol. 90(6), pages 2541-2566, November.
  21. Eleonora Marzilli & Luca Cerniglia & Silvia Cimino & Renata Tambelli, 2022. "Internet Addiction among Young Adult University Students during the COVID-19 Pandemic: The Role of Peritraumatic Distress, Attachment, and Alexithymia," IJERPH, MDPI, vol. 19(23), pages 1-22, November.
  22. Qin, Duo, 2015. "Resurgence of the endogeneity-backed instrumental variable methods," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 9, pages 1-35.
  23. Tukufu Zuberi, 2000. "Deracializing Social Statistics: Problems in the Quantification of Race," The ANNALS of the American Academy of Political and Social Science, , vol. 568(1), pages 172-185, March.
  24. Hoffmann, Rasmus & Kröger, Hannes & Pakpahan, Eduwin, 2018. "Pathways between socioeconomic status and health: Does health selection or social causation dominate in Europe?," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 36, pages 23-36.
  25. Hoffmann, Rasmus & Kröger, Hannes & Geyer, Siegfried, 2019. "Social Causation Versus Health Selection in the Life Course: Does Their Relative Importance Differ by Dimension of SES?," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 141(3), pages 1341-1367.
  26. Bhargava, Alok, 2008. "Randomized controlled experiments in health and social sciences: Some conceptual issues," Economics & Human Biology, Elsevier, vol. 6(2), pages 293-298, July.
  27. Gary L. Gadbury & Hari K. Iyer, 2000. "Unit–Treatment Interaction and Its Practical Consequences," Biometrics, The International Biometric Society, vol. 56(3), pages 882-885, September.
  28. Mouchart, M. & Wunsch, G. & Russo, F., 2015. "The issue of control in multivariate systems, A contribution of structural modelling," LIDAM Discussion Papers ISBA 2015019, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
  29. Duo Qin, 2022. "Redirect the Probability Approach in Econometrics Towards PAC Learning," Working Papers 249, Department of Economics, SOAS University of London, UK.
  30. Cansino Muñoz-Repiso, José Manuel & Sánchez Braza, Antonio, 2011. "Effectiveness of Public Training Programs Reducing the Time Needed to Find a Job/Eficacia de los programas públicos de formación en la reducción del tiempo necesario para encontrar un empleo," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 29, pages 391(26á.)-3, Abril.
  31. Silvia Cimino & Luca Cerniglia & Giulia Ballarotto & Eleonora Marzilli & Esterina Pascale & Claudio D’Addario & Walter Adriani & Angelo Giovanni Icro Maremmani & Renata Tambelli, 2019. "Children’s DAT1 Polymorphism Moderates the Relationship Between Parents’ Psychological Profiles, Children’s DAT Methylation, and Their Emotional/Behavioral Functioning in a Normative Sample," IJERPH, MDPI, vol. 16(14), pages 1-20, July.
  32. Steven M. Shugan, 2007. "—Causality, Unintended Consequences and Deducing Shared Causes," Marketing Science, INFORMS, vol. 26(6), pages 731-741, 11-12.
  33. Rajeev H. Dehejia & Sadek Wahba, 2002. "Propensity Score-Matching Methods For Nonexperimental Causal Studies," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 151-161, February.
  34. Lenihan, Helena & McGuirk, Helen & Murphy, Kevin R., 2019. "Driving innovation: Public policy and human capital," Research Policy, Elsevier, vol. 48(9), pages 1-1.
  35. O. J. W. F. Kardaun & D. Salomè & W. Schaafsma & A. G. M. Steerneman & J. C. Willems & D.R. Cox, 2003. "Reflections on Fourteen Cryptic Issues Concerning the Nature of Statistical Inference," International Statistical Review, International Statistical Institute, vol. 71(2), pages 277-303, August.
  36. Qin, Duo, 2014. "Resurgence of instrument variable estimation and fallacy of endogeneity," Economics Discussion Papers 2014-42, Kiel Institute for the World Economy (IfW Kiel).
  37. Yadolah Dodge & Iraj Yadegari, 2010. "On direction of dependence," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 72(1), pages 139-150, July.
  38. Catherine Gaumé & Guillaume Wunsch, 2010. "Self-Rated Health in the Baltic Countries, 1994–1999," European Journal of Population, Springer;European Association for Population Studies, vol. 26(4), pages 435-457, November.
  39. José I. Castillo-Manzano & Antonio Sánchez-Braza, 2011. "An Evaluation of the Establishment of a Taxi Flat Rate from City to Airport: The Case of Seville," Urban Studies, Urban Studies Journal Limited, vol. 48(9), pages 1909-1924, July.
  40. Martin Hodula & Lukas Pfeifer & Ngoc Anh Ngo, 2023. "Easing of Borrower-Based Measures: Evidence from Czech Loan-Level Data," Working Papers 2023/18, Czech National Bank.
  41. Hodula, Martin & Melecký, Martin & Pfeifer, Lukáš & Szabo, Milan, 2023. "Cooling the mortgage loan market: The effect of borrower-based limits on new mortgage lending," Journal of International Money and Finance, Elsevier, vol. 132(C).
  42. Martin Hodula & Milan Szabo & Lukas Pfeifer & Martin Melecky, 2022. "Cooling the Mortgage Loan Market: The Effect of Recommended Borrower-Based Limits on New Mortgage Lending," Working Papers 2022/3, Czech National Bank.
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