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The Pagan-Shannon Approximation: Unconditional Systematic Sensitivity in Minutes


  • Wigle, Randall M


This paper applies a simple approximation procedure to the calculation of systematic sensitivity results for a well-known computable general equilibrium model. The approximation (based on Pagan and Shannon (1985)) is found to be very accurate and requires little computing time.

Suggested Citation

  • Wigle, Randall M, 1991. "The Pagan-Shannon Approximation: Unconditional Systematic Sensitivity in Minutes," Empirical Economics, Springer, vol. 16(1), pages 35-49.
  • Handle: RePEc:spr:empeco:v:16:y:1991:i:1:p:35-49

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    References listed on IDEAS

    1. Dearden, Lorraine & Machin, Stephen & Reed, Howard, 1997. "Intergenerational Mobility in Britain," Economic Journal, Royal Economic Society, vol. 107(440), pages 47-66, January.
    2. Solon, Gary, 1999. "Intergenerational mobility in the labor market," Handbook of Labor Economics,in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 29, pages 1761-1800 Elsevier.
    3. James McIntosh & Martin Munk, 2007. "Scholastic ability vs family background in educational success: evidence from Danish sample survey data," Journal of Population Economics, Springer;European Society for Population Economics, vol. 20(1), pages 101-120, February.
    4. Corak, Miles & Lipps, Garth & Zhao, John, 2003. "Family Income and Participation in Post-secondary Education," Analytical Studies Branch Research Paper Series 2003210e, Statistics Canada, Analytical Studies Branch.
    5. Robert Haveman & Barbara Wolfe, 1995. "The Determinants of Children's Attainments: A Review of Methods and Findings," Journal of Economic Literature, American Economic Association, vol. 33(4), pages 1829-1878, December.
    6. Miles Corak & Andrew Heisz, 1998. "The Intergenerational Earnings and Income Mobility of Canadian," Labor and Demography 9808001, EconWPA.
    7. Wedel, M, et al, 1993. "A Latent Class Poisson Regression Model for Heterogeneous Count Data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(4), pages 397-411, Oct.-Dec..
    8. Charles M. Beach & Ross E. Finnie, 1988. "Family Background in an Extended Earnings-Generation Model: Further Evidence," Eastern Economic Journal, Eastern Economic Association, vol. 14(1), pages 39-49, Jan-Mar.
    9. Finnie, Ross & Lascelles, Eric & Sweetman, Arthur, 2005. "Who Goes? The Direct and Indirect Effects of Family Background on Access to Post-secondary Education," Analytical Studies Branch Research Paper Series 2005237e, Statistics Canada, Analytical Studies Branch.
    10. Christian Dustmann & Bernd Fitzenberger & Steve Machin, 2007. "The economics of education and training," Empirical Economics, Springer, vol. 32(2), pages 255-260, May.
    11. Daniel S. Hamermesh, 2007. "Viewpoint: Replication in economics," Canadian Journal of Economics, Canadian Economics Association, vol. 40(3), pages 715-733, August.
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    Cited by:

    1. Hertel, Thomas, 2013. "Global Applied General Equilibrium Analysis Using the Global Trade Analysis Project Framework," Handbook of Computable General Equilibrium Modeling, Elsevier.
    2. Hertel, Thomas & Hummels, David & Ivanic, Maros & Keeney, Roman, 2007. "How confident can we be of CGE-based assessments of Free Trade Agreements?," Economic Modelling, Elsevier, vol. 24(4), pages 611-635, July.
    3. Hertel, Thomas W. & Mark Horridge, J. & Pearson, K. R., 1992. "Mending the family tree a reconciliation of the linearization and levels schools of AGE modelling," Economic Modelling, Elsevier, vol. 9(4), pages 385-407, October.
    4. DeVuyst, Eric A. & Preckel, Paul V., 1997. "Sensitivity analysis revisited: A quadrature-based approach," Journal of Policy Modeling, Elsevier, vol. 19(2), pages 175-185, April.
    5. Joshua Elliott & Meredith Franklin & Ian Foster & Todd Munson & Margaret Loudermilk, 2012. "Propagation of Data Error and Parametric Sensitivity in Computable General Equilibrium Models," Computational Economics, Springer;Society for Computational Economics, vol. 39(3), pages 219-241, March.
    6. Liu, Xiaoyun & Wang, Xiuqing & Whalley, John & Xin, Xian, 2011. "Technological change and China's regional disparities — A calibrated equilibrium analysis," Economic Modelling, Elsevier, vol. 28(1), pages 582-588.
    7. Touhami Abdelkhalek & Jean-Marie Dufour, 1998. "Statistical Inference For Computable General Equilibrium Models, With Application To A Model Of The Moroccan Economy," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 520-534, November.
    8. Hyde, Jeffrey & Martin, Marshall A. & Preckel, Paul V. & Buschman, Lawrent L. & Edwards, C. Richard & Sloderbeck, Phillip E. & Higgins, Randall A., 2003. "The Value of Bt Corn in Southwest Kansas: A Monte Carlo Simulation Approach," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 28(01), April.
    9. Xiaoyun Liu & Xiuqing Wang & Xian Xin, 2012. "Did agricultural technological changes affect China's regional disparity?," China Agricultural Economic Review, Emerald Group Publishing, vol. 4(4), pages 440-449, November.
    10. Haddad, Eduardo A. & Hewings, Geoffrey J.D., 2005. "Market imperfections in a spatial economy: some experimental results," The Quarterly Review of Economics and Finance, Elsevier, vol. 45(2-3), pages 476-496, May.
    11. Zafar Iqbal & Rizwana Siddiqui, 2001. "Critical Review of Literature on Computable General Equilibrium Models," MIMAP Technical Paper Series 2001:09, Pakistan Institute of Development Economics.
    12. Hillberry, Russell & Hummels, David, 2013. "Trade Elasticity Parameters for a Computable General Equilibrium Model," Handbook of Computable General Equilibrium Modeling, Elsevier.
    13. Domingues, Edson P. & Haddad, Eduardo A. & Hewings, Geoffrey, 2008. "Sensitivity analysis in applied general equilibrium models: An empirical assessment for MERCOSUR free trade areas agreements," The Quarterly Review of Economics and Finance, Elsevier, vol. 48(2), pages 287-306, May.

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