Table of Contents
Advances in Decision Sciences
Volume 2012, Article ID 728980, 25 pages
http://dx.doi.org/10.1155/2012/728980
Research Article

Solving the Omitted Variables Problem of Regression Analysis Using the Relative Vertical Position of Observations

1Hull College of Business Administration, Augusta State University, 2500 Walton Way, Augusta, GA 30904, USA
2Faculty of Economics, Seikei University, 3-3-1 Kichijoji-kitamachi, Musashino-shi, Tokyo 180-8633, Japan

Received 9 April 2012; Accepted 11 October 2012

Academic Editor: David Bulger

Copyright © 2012 Jonathan E. Leightner and Tomoo Inoue. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. K. A. Clarke, “The phantom menace: omitted variable bias in econometric research,” Conflict Management and Peace Science, vol. 22, no. 4, pp. 341–352, 2005. View at Publisher · View at Google Scholar · View at Scopus
  2. K. A. Clarke, “Return of the phantom menace: omitted variable bias in political research,” Conflict Management and Peace Science, vol. 26, no. 1, pp. 46–66, 2009. View at Publisher · View at Google Scholar · View at Scopus
  3. J. Branson and C. A. K. Lovell, “Taxation and economic growth in New Zealand,” in Taxation and the Limits of Government, G. W. Scully and P. J. Caragata, Eds., pp. 37–88, Kluwer Academic, Boston, Mass, USA, 2000. View at Google Scholar
  4. J. E. Leightner, The Changing Effectiveness of Key Policy Tools in Thailand, Institute of Southeast Asian Studies for East Asian Development Network, 2002, EADN Working Paper 19(2002) x0219-6417.
  5. J. E. Leightner and T. Inoue, “Tackling the omitted variables problem without the strong assumptions of proxies,” European Journal of Operational Research, vol. 178, no. 3, pp. 819–840, 2007. View at Publisher · View at Google Scholar · View at Zentralblatt MATH
  6. J. E. Leightner, “Omitted variables and how the Chinese yuan affects other Asian currencies,” International Journal of Contemporary Mathematical Sciences, vol. 3, no. 13-16, pp. 645–666, 2008. View at Google Scholar · View at Zentralblatt MATH
  7. J. E. Leightner, “China's fiscal stimulus package for the current international crisis: what does 1996–2006 tell us?” Frontiers of Economics in China, vol. 5, no. 1, pp. 1–24, 2010. View at Publisher · View at Google Scholar · View at Scopus
  8. J. E. Leightner, “Fiscal stimulus for the USA in the current financial crisis: what does 1930–2008 tell us?” Applied Economics Letters, vol. 18, no. 6, pp. 539–549, 2011. View at Publisher · View at Google Scholar · View at Scopus
  9. J. E. Leightner, “How China's holdings of foreign reserves affect the value of the US dollar in Europe and Asia,” China & World Economy, vol. 18, no. 3, pp. 24–39, 2010. View at Publisher · View at Google Scholar · View at Scopus
  10. J. E. Leightner, “Omitted variables, confidence intervals, and the productivity of exchange rates,” Pacific Economic Review, vol. 12, no. 1, pp. 15–45, 2007. View at Publisher · View at Google Scholar · View at Scopus
  11. J. E. Leightner, “Fight deflation with deflation, not with Monetary policy,” The Japanese Economy, vol. 33, no. 2, pp. 67–93, 2005. View at Google Scholar
  12. J. E. Leightner, “The productivity of government spending in Asia: 1983–2000,” Journal of Productivity Analysis, vol. 23, no. 1, pp. 33–46, 2005. View at Publisher · View at Google Scholar · View at Scopus
  13. J. E. Leightner and T. Inoue, “Negative fiscal multipliers exceed positive multipliers during Japanese deflation,” Applied Economics Letters, vol. 16, no. 15, pp. 1523–1527, 2009. View at Publisher · View at Google Scholar · View at Scopus
  14. J. E. Leightner and T. Inoue, “Capturing climate's effect on pollution abatement with an improved solution to the omitted variables problem,” European Journal of Operational Research, vol. 191, no. 2, pp. 539–556, 2008. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at Scopus
  15. J. E. Leightner and T. Inoue, “The effect of the Chinese Yuan on other Asian Currencies during the 1997-1998 Asian Crisis,” International Journal of Economic Issues, vol. 1, no. 1, pp. 11–24, 2008. View at Google Scholar
  16. J. K. Abbott and H. A. Klaiber, “An embarrassment of riches: confronting omitted variable bias and multiscale capitalization in hedonic price models,” The Review of Economics and Statistics, vol. 93, no. 4, pp. 1331–1342, 2011. View at Publisher · View at Google Scholar
  17. J. D. Angrist and A. B. Krueger, “Instrumental variables and the search for identification: from supply and demand to natural experiments,” Journal of Economic Perspectives, vol. 15, no. 4, pp. 69–85, 2001. View at Google Scholar · View at Scopus
  18. S. E. Black and L. M. Lynch, “How to compete: the impact of workplace practices and information technology on productivity,” The Review of Economics and Statistics, vol. 83, no. 3, pp. 434–445, 2001. View at Publisher · View at Google Scholar · View at Scopus
  19. C. A. Botosan and M. A. Plumlee, “A re-examination of disclosure level and the expected cost of equity capital,” Journal of Accounting Research, vol. 40, no. 1, pp. 21–40, 2002. View at Publisher · View at Google Scholar · View at Scopus
  20. S. R. Cellini, “Causal inference and omitted variable bias in financial aid research: assessing solutions,” Review of Higher Education, vol. 31, no. 3, pp. 329–354, 2008. View at Publisher · View at Google Scholar · View at Scopus
  21. P. Y. Crémieux and P. Ouellette, “Omitted variable bias and hospital costs,” Journal of Health Economics, vol. 20, no. 2, pp. 271–282, 2001. View at Publisher · View at Google Scholar · View at Scopus
  22. T. A. DiPrete and M. Gangl, Assessing Bias in the Estimation of Causal Effects: Rosenbaum Bounds on Matching Estimators and Instrumental Estimation With Imperfect Instruments, Wissenschaftszentrum Berlin fur Sozialforschung, Berlin, Germany, 2004.
  23. A. L. Harris and K. Robinson, “Schooling behaviors or prior skills? A cautionary tale of omitted variable bias within oppositional culture theory,” Sociology of Education, vol. 80, no. 2, pp. 139–157, 2007. View at Publisher · View at Google Scholar · View at Scopus
  24. D. B. Mustard, “Reexamining criminal behavior: the importance of omitted variable bias,” The Review of Economics and Statistics, vol. 85, no. 1, pp. 205–211, 2003. View at Publisher · View at Google Scholar · View at Scopus
  25. R. K. Pace and J. P. LeSage, “Omitted variable biases of OLS and spatial lag models,” in Progress in Spatial Analysis, Advances in Spatial Science, part 1, pp. 17–28, 2010. View at Publisher · View at Google Scholar
  26. R. W. Paterson and K. J. Boyle, “Out of sight, out of mind? Using GIS to incorporate visibility in hedonic property value models,” Land Economics, vol. 78, no. 3, pp. 417–425, 2002. View at Publisher · View at Google Scholar · View at Scopus
  27. R. M. Scheffler, T. T. Brown, and J. K. Rice, “The role of social capital in reducing non-specific psychological distress: the importance of controlling for omitted variable bias,” Social Science and Medicine, vol. 65, no. 4, pp. 842–854, 2007. View at Publisher · View at Google Scholar · View at Scopus
  28. D. N. Sessions and L. K. Stevans, “Investigating omitted variable bias in regression parameter estimation: a genetic algorithm approach,” Computational Statistics & Data Analysis, vol. 50, no. 10, pp. 2835–2854, 2006. View at Publisher · View at Google Scholar
  29. S. C. Stearns and E. C. Norton, “Time to include time to death? The future of health care expenditure predictions,” Health Economics, vol. 13, no. 4, pp. 315–327, 2004. View at Publisher · View at Google Scholar · View at Scopus
  30. P. A. V. B. Swamy, I. L. Chang, J. S. Mehta, and G. S. Tavlas, “Correcting for omitted-variable and measurement-error bias in autoregressive model estimation with panel data,” Computational Economics, vol. 22, no. 2-3, pp. 225–253, 2003. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at Scopus