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Stability in a Random Coefficient Model

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  • Conlisk, John

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  • Conlisk, John, 1974. "Stability in a Random Coefficient Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 15(2), pages 529-533, June.
    • Handle: RePEc:ier:iecrev:v:15:y:1974:i:2:p:529-33
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    Cited by:

    1. H. Wong & W. Li, 2002. "Detecting and Diagnostic Checking Multivariate Conditional Heteroscedastic Time Series Models," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 54(1), pages 45-59, March.
    2. Damjanovic, Tatiana & Girdėnas, Šarūnas & Liu, Keqing, 2015. "Stationarity of econometric learning with bounded memory and a predicted state variable," Economics Letters, Elsevier, vol. 130(C), pages 93-96.
    3. Martin Nybom & Jan Stuhler, 2019. "Steady-state assumptions in intergenerational mobility research," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 17(1), pages 77-97, March.
    4. Ha, Jeongcheol & Lee, Sangyeol, 2002. "Coefficient constancy test in AR-ARCH models," Statistics & Probability Letters, Elsevier, vol. 57(1), pages 65-77, March.
    5. Galyna Grynkiv & Lars Stentoft, 2018. "Stationary Threshold Vector Autoregressive Models," JRFM, MDPI, vol. 11(3), pages 1-23, August.
    6. Dufresne, Daniel & Vázquez-Abad, Felisa, 2012. "Cobweb theorems with production lags and price forecasting," Economics Discussion Papers 2012-17, Kiel Institute for the World Economy (IfW Kiel).
    7. Dufrfesne, Daniel & Vázquez-Abad, Felisa, 2013. "Cobweb theorems with production lags and price forecasting," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 7, pages 1-49.

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