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Random Coefficients Models: The Analysis of a Cross Section of Time Series by Stochastically Convergent Parameter Regression

In: Annals of Economic and Social Measurement, Volume 2, number 4

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  • Barr Rosenberg

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Suggested Citation

  • Barr Rosenberg, 1973. "Random Coefficients Models: The Analysis of a Cross Section of Time Series by Stochastically Convergent Parameter Regression," NBER Chapters,in: Annals of Economic and Social Measurement, Volume 2, number 4, pages 399-428 National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberch:9934
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    Cited by:

    1. Marczak, Martyna & Proietti, Tommaso & Grassi, Stefano, 2018. "A data-cleaning augmented Kalman filter for robust estimation of state space models," Econometrics and Statistics, Elsevier, vol. 5(C), pages 107-123.
    2. Marc K. Francke & Siem Jan Koopman & Aart F. de Vos, 2010. "Likelihood functions for state space models with diffuse initial conditions," Journal of Time Series Analysis, Wiley Blackwell, vol. 31(6), pages 407-414, November.
    3. Tommaso Proietti & Alessandra Luati, 2013. "Maximum likelihood estimation of time series models: the Kalman filter and beyond," Chapters,in: Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 15, pages 334-362 Edward Elgar Publishing.
    4. Koning, Camiel de & Straetmans, Stefan, 1998. "Time varying forex market inefficiency," Serie Research Memoranda 0063, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    5. Karakatsani Nektaria V & Bunn Derek W., 2010. "Fundamental and Behavioural Drivers of Electricity Price Volatility," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 14(4), pages 1-42, September.
    6. Jiawen Xu & Pierre Perron, 2015. "Forecasting in the presence of in and out of sample breaks," Boston University - Department of Economics - Working Papers Series wp2015-012, Boston University - Department of Economics.
    7. Borus Jungbacker & Siem Jan Koopman, 2015. "Likelihood‐based dynamic factor analysis for measurement and forecasting," Econometrics Journal, Royal Economic Society, vol. 18(2), pages 1-21, June.
    8. Borus Jungbacker & Siem Jan Koopman, 2008. "Likelihood-based Analysis for Dynamic Factor Models," Tinbergen Institute Discussion Papers 08-007/4, Tinbergen Institute, revised 20 Mar 2014.

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