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A new measure of overall potential influence in linear regression

Citations

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Cited by:

  1. Julia Cage, 2015. "Measuring Policy Performance: Can We Do Better than the World Bank?," SciencePo Working papers hal-03392964, HAL.
  2. Kondylis, Athanassios & Hadi, Ali S., 2006. "Derived components regression using the BACON algorithm," Computational Statistics & Data Analysis, Elsevier, vol. 51(2), pages 556-569, November.
  3. Cagé Julia, 2014. "Improving upon the World Bank’s Country Policy and Institutional Assessment: A New Performance Indicator Based on Aid Effectiveness," Journal of Globalization and Development, De Gruyter, vol. 5(2), pages 213-233, December.
  4. M. Suárez-Rancel & Miguel González-Sierra, 2000. "Local and deletion diagnostic," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 9(2), pages 345-352, December.
  5. Julia Cage, 2015. "Measuring Policy Performance: Can We Do Better than the World Bank?," Post-Print hal-03392964, HAL.
  6. Peter Schmidt, 2016. "Internal migration and EU regional policy transfer payments: A panel data analysis for the EU-28 member countries," ERSA conference papers ersa16p172, European Regional Science Association.
  7. M. Habshah & M. R. Norazan & A.H.M. Rahmatullah Imon, 2009. "The performance of diagnostic-robust generalized potentials for the identification of multiple high leverage points in linear regression," Journal of Applied Statistics, Taylor & Francis Journals, vol. 36(5), pages 507-520.
  8. M. D. Jimenez Gamero & J. M. Munoz Pichardo & J. Munoz Garcia & A. Pascual Acosta, 2002. "Rao distance as a measure of influence in the multivariate linear model," Journal of Applied Statistics, Taylor & Francis Journals, vol. 29(6), pages 841-854.
  9. Billor, Nedret & Hadi, Ali S. & Velleman, Paul F., 2000. "BACON: blocked adaptive computationally efficient outlier nominators," Computational Statistics & Data Analysis, Elsevier, vol. 34(3), pages 279-298, September.
  10. Julia Cage, 2009. "Asymmetric information, rent extraction and aid efficiency," Working Papers halshs-00575055, HAL.
  11. Xavier Cirera, 2014. "Who captures the price rent? The impact of European Union trade preferences on export prices," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 150(3), pages 507-527, August.
  12. Hoeting, Jennifer & Raftery, Adrian E. & Madigan, David, 1996. "A method for simultaneous variable selection and outlier identification in linear regression," Computational Statistics & Data Analysis, Elsevier, vol. 22(3), pages 251-270, July.
  13. Vilijandas Bagdonavičius & Linas Petkevičius, 2020. "A new multiple outliers identification method in linear regression," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 83(3), pages 275-296, April.
  14. Emiliana Vegas & Ilana Umansky, 2005. "Improving Teaching and Learning through Effective Incentives : What Can We Learn from Education Reforms in Latin America?," World Bank Publications - Reports 8694, The World Bank Group.
  15. Barranco-Chamorro, I. & Jiménez-Gamero, M.D. & Moreno-Rebollo, J.L. & Muñoz-Pichardo, J.M., 2012. "Case-deletion type diagnostics for calibration estimators in survey sampling," Computational Statistics & Data Analysis, Elsevier, vol. 56(7), pages 2219-2236.
  16. A.A.M. Nurunnabi & M. Nasser & A.H.M.R. Imon, 2016. "Identification and classification of multiple outliers, high leverage points and influential observations in linear regression," Journal of Applied Statistics, Taylor & Francis Journals, vol. 43(3), pages 509-525, March.
  17. Xavier Cirera & Francesca Foliano & Michael Gasiorek, 2016. "The impact of preferences on developing countries’ exports to the European Union: bilateral gravity modelling at the product level," Empirical Economics, Springer, vol. 50(1), pages 59-102, February.
  18. Irmak Acarlar & Harun Kınacı & Vadoud Najjari, 2014. "A New Measure for Detecting Influential DMUs in DEA," Journal of Optimization, Hindawi, vol. 2014, pages 1-7, October.
  19. A.A.M. Nurunnabi & Ali S. Hadi & A.H.M.R. Imon, 2014. "Procedures for the identification of multiple influential observations in linear regression," Journal of Applied Statistics, Taylor & Francis Journals, vol. 41(6), pages 1315-1331, June.
  20. Ulaşan, Bülent, 2012. "Openness to international trade and economic growth: A cross-country empirical investigation," Economics Discussion Papers 2012-25, Kiel Institute for the World Economy (IfW Kiel).
  21. Egger, Peter & Winner, Hannes, 2006. "How Corruption Influences Foreign Direct Investment: A Panel Data Study," Economic Development and Cultural Change, University of Chicago Press, vol. 54(2), pages 459-486, January.
  22. Munoz-Pichardo, J. M. & Enguix-Gonzalez, A. & Munoz-Garcia, J. & Pascual-Acosta, A., 2004. "The Frechet's metric as a measure of influence in multivariate linear models with random errors elliptically distributed," Computational Statistics & Data Analysis, Elsevier, vol. 46(3), pages 469-491, June.
  23. Mar Reguant & Meredith Fowlie, 2017. "Measuring and Mitigating Leakage Risk," 2017 Meeting Papers 383, Society for Economic Dynamics.
  24. Peter Egger & Wolfgang Eggert & Mario Larch, 2014. "Structural Operations and Net Migration Across European Union Member Countries," Review of International Economics, Wiley Blackwell, vol. 22(2), pages 352-378, May.
  25. repec:hal:spmain:info:hdl:2441/5su81hd0ma8soqp1nvf7852ffv is not listed on IDEAS
  26. Hock Ann Lim & Habshah Midi, 2016. "Diagnostic Robust Generalized Potential Based on Index Set Equality (DRGP (ISE)) for the identification of high leverage points in linear model," Computational Statistics, Springer, vol. 31(3), pages 859-877, September.
  27. A. H. M. Rahmatullah Imon, 2005. "Identifying multiple influential observations in linear regression," Journal of Applied Statistics, Taylor & Francis Journals, vol. 32(9), pages 929-946.
  28. Slavik, Jan & Pavel, Jan, 2013. "Do the variable charges really increase the effectiveness and economy of waste management? A case study of the Czech Republic," Resources, Conservation & Recycling, Elsevier, vol. 70(C), pages 68-77.
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