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On the Estimation of Structural Change: A Generalization of the Random Coefficients Regression Model

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  • Singh, Balvir, et al

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  • Singh, Balvir, et al, 1976. "On the Estimation of Structural Change: A Generalization of the Random Coefficients Regression Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 17(2), pages 340-361, June.
  • Handle: RePEc:ier:iecrev:v:17:y:1976:i:2:p:340-61
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    Cited by:

    1. Cornell, Laurence D. & Sorenson, Vernon L., 1986. "Implications of Structural Change in U.S. Demand for Meat on U.S. Livestock and Grain Markets," Agricultural Economic Report Series 201355, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    2. Abdul Rahman & Lawrence Kryzanowski & Ah Boon Sim, 1987. "Systematic Risk In A Purely Random Market Model: Some Empirical Evidence For Individual Public Utilities," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 10(2), pages 143-152, June.
    3. Bidani, Benu & Ravallion, Martin, 1997. "Decomposing social indicators using distributional data," Journal of Econometrics, Elsevier, vol. 77(1), pages 125-139, March.
    4. Chavas, Jean-Paul, 1982. "A Study Of Structural Change: The Demand For Meat," 1982 Annual Meeting, August 1-4, Logan, Utah 279153, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    5. Chuang, Chia-Hung & Chiang, Chung-Yean, 2016. "Dynamic and stochastic behavior of coefficient of demand uncertainty incorporated with EOQ variables: An application in finished-goods inventory from General Motors׳ dealerships," International Journal of Production Economics, Elsevier, vol. 172(C), pages 95-109.
    6. Lin, Winston T. & Chen, Yueh H. & Hung, TingShu, 2019. "A partial adjustment valuation approach with stochastic and dynamic speeds of partial adjustment to measuring and evaluating the business value of information technology," European Journal of Operational Research, Elsevier, vol. 272(2), pages 766-779.
    7. Hsiao, C. & Pesaran, M.H., 2004. "‘Random Coefficient Panel Data Models’," Cambridge Working Papers in Economics 0434, Faculty of Economics, University of Cambridge.
    8. Winston T. Lin & Hong-Jen Lin & Yueh H. Chen, 2002. "The Dynamics and Stochastics of Currency Betas Based on the Unbiasedness Hypothesis in Foreign Exchange Markets," Multinational Finance Journal, Multinational Finance Journal, vol. 6(3-4), pages 167-195, September.
    9. Obwana, M.B. & Kalirajan, K.P. & Shand, R.T., 1997. "On Measuring Farmer-Specific and Input-Specific Allocative Efficiency," 1997 Occasional Paper Series No. 7 198063, International Association of Agricultural Economists.
    10. Rahman, Tauhidur & Mittelhammer, Ronald C., 2004. "Decomposing Well-Being Indicators Using Distributional Data," 2004 Annual meeting, August 1-4, Denver, CO 20232, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    11. Francis X. Diebold & Peter Pauly, 1987. "Structural change and the combination of forecasts," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 6(1), pages 21-40.
    12. Rausser, Gordon & Mundlak, Yair & Johnson, S.R., 1981. "Structural Change, Updating, and Forecasting," CUDARE Working Papers 198213, University of California, Berkeley, Department of Agricultural and Resource Economics.
    13. Winston T. Lin, 1999. "Dynamic and Stochastic Instability and the Unbiased Forward Rate Hypothesis: A Variable Mean Response Approach," Multinational Finance Journal, Multinational Finance Journal, vol. 3(3), pages 173-221, September.
    14. James B. Kau & Thomas M. Springer, 1993. "An Analysis of Financial and Nonfinancial Prepayment of GNMA Securities with a Varying Coefficient Model," Journal of Real Estate Research, American Real Estate Society, vol. 8(1), pages 69-86.
    15. Ke-Hai Yuan & Ying Cheng & Scott Maxwell, 2014. "Moderation Analysis Using a Two-Level Regression Model," Psychometrika, Springer;The Psychometric Society, vol. 79(4), pages 701-732, October.

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