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Applying linear time-varying constraints to econometric models: With an application to demand systems

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  • Doran, Howard E.
  • Rambaldi, Alicia N.

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  • Doran, Howard E. & Rambaldi, Alicia N., 1997. "Applying linear time-varying constraints to econometric models: With an application to demand systems," Journal of Econometrics, Elsevier, vol. 79(1), pages 83-95, July.
    • Handle: RePEc:eee:econom:v:79:y:1997:i:1:p:83-95
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    References listed on IDEAS

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    1. Murray, Jane, 1984. "Retail Demand for Meat in Australia: A Utility Theory Approach," The Economic Record, The Economic Society of Australia, vol. 60(168), pages 45-56, March.
    2. Harvey,Andrew C., 1991. "Forecasting, Structural Time Series Models and the Kalman Filter," Cambridge Books, Cambridge University Press, number 9780521405737, December.
    3. Diewert, W. E., 1973. "Functional forms for profit and transformation functions," Journal of Economic Theory, Elsevier, vol. 6(3), pages 284-316, June.
    4. Jane Murray, 1984. "Retail Demand for Meat in Australia: A Utility Theory Approach," The Economic Record, The Economic Society of Australia, vol. 60(1), pages 45-56, March.
    5. Doran, Howard E, 1992. "Constraining Kalman Filter and Smoothing Estimates to Satisfy Time-Varying Restrictions," The Review of Economics and Statistics, MIT Press, vol. 74(3), pages 568-572, August.
    6. Lau, Lawrence J., 1978. "Applications of Profit Functions," Histoy of Economic Thought Chapters, in: Fuss, Melvyn & McFadden, Daniel (ed.),Production Economics: A Dual Approach to Theory and Applications, volume 1, chapter 3, McMaster University Archive for the History of Economic Thought.
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    Cited by:

    1. Mazzocchi, Mario, 2006. "Time patterns in UK demand for alcohol and tobacco: an application of the EM algorithm," Computational Statistics & Data Analysis, Elsevier, vol. 50(9), pages 2191-2205, May.
    2. Christopher J. O'Donnell & Alicia N. Rambaldi & Howard E. Doran, 2001. "Estimating economic relationships subject to firm- and time-varying equality and inequality constraints," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(6), pages 709-726.
    3. Helmi Hamdi, 2013. "Testing export-led growth in Tunisia and Morocco: New evidence using the Toda and Yamamoto procedure," Economics Bulletin, AccessEcon, vol. 33(1), pages 677-686.
    4. O'Donnell, Christopher J., 2000. "Estimating The Characteristics Of Homogeneous Functionsusing Flexible Functional Forms," 2000 Conference (44th), January 23-25, 2000, Sydney, Australia 123713, Australian Agricultural and Resource Economics Society.
    5. Helmi Hamdi & Rashid Sbia & Bedri Kamil Onur Tas, 2014. "Financial Deepening and Economic Growth in Gulf Cooperation Council Countries," International Economic Journal, Taylor & Francis Journals, vol. 28(3), pages 459-473, September.
    6. Moro, Daniele & Sckokai, Paolo & Mazzocchi, Mario, 2000. "A New Strategy For Testing Convergence In Tastes," 2000 Annual meeting, July 30-August 2, Tampa, FL 21759, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    7. Li, Gang & Song, Haiyan & Witt, Stephen F., 2006. "Time varying parameter and fixed parameter linear AIDS: An application to tourism demand forecasting," International Journal of Forecasting, Elsevier, vol. 22(1), pages 57-71.
    8. Orbe, Susan & Ferreira, Eva & Rodriguez-Poo, Juan, 2003. "An algorithm to estimate time-varying parameter SURE models under different types of restriction," Computational Statistics & Data Analysis, Elsevier, vol. 42(3), pages 363-383, March.
    9. William A. Barnett & Isaac Kalonda Kanyama, 2013. "Time-varying parameters in the almost ideal demand system and the Rotterdam model: will the best specification please stand up?," Applied Economics, Taylor & Francis Journals, vol. 45(29), pages 4169-4183, October.
    10. Dr Alicia Rambaldi & Dr Chris O'Donnell & Howard E.Doran, 2003. "Imposing Observation-Varying Equality Constraints Using Generalised Restricted Least Squares," Discussion Papers Series 323, School of Economics, University of Queensland, Australia.
    11. Pizzinga, Adrian & Fernandes, Cristiano & Contreras, Sergio, 2008. "Restricted Kalman filtering revisited," Journal of Econometrics, Elsevier, vol. 144(2), pages 428-429, June.
    12. Helmi Hamdi & Rashid Sbia, 2013. "The relationship between natural resources rents, trade openness and economic growth in Algeria," Economics Bulletin, AccessEcon, vol. 33(2), pages 1649-1659.
    13. Christopher Parmeter & Kai Sun & Daniel Henderson & Subal Kumbhakar, 2014. "Estimation and inference under economic restrictions," Journal of Productivity Analysis, Springer, vol. 41(1), pages 111-129, February.
    14. Adrian Pizzinga, 2010. "Constrained Kalman Filtering: Additional Results," International Statistical Review, International Statistical Institute, vol. 78(2), pages 189-208, August.
    15. Pizzinga, Adrian, 2009. "Further investigation into restricted Kalman filtering," Statistics & Probability Letters, Elsevier, vol. 79(2), pages 264-269, January.
    16. Toru Komaki & Jeremy Penzer, 2005. "Estimation of time‐varying price elasticity in 1970–1997 Japanese raw milk supply by structural time‐series model," Agricultural Economics, International Association of Agricultural Economists, vol. 32(1), pages 1-14, January.
    17. Kai Sun, 2015. "Constrained nonparametric estimation of input distance function," Journal of Productivity Analysis, Springer, vol. 43(1), pages 85-97, February.
    18. A. Peyrache & A. N. Rambaldi, 2012. "A State-Space Stochastic Frontier Panel Data Model," CEPA Working Papers Series WP012012, School of Economics, University of Queensland, Australia.
    19. Gao, Lei & Mei, Bin, 2013. "Investor attention and abnormal performance of timberland investments in the United States," Forest Policy and Economics, Elsevier, vol. 28(C), pages 60-65.
    20. Shammugam, Shivenes & Rathgeber, Andreas & Schlegl, Thomas, 2019. "Causality between metal prices: Is joint consumption a more important determinant than joint production of main and by-product metals?," Resources Policy, Elsevier, vol. 61(C), pages 49-66.

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