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Maximum likelihood estimation of sum-constrained linear models with insufficient observations

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  • de Boer, P. M. C.
  • Harkema, R.

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  • de Boer, P. M. C. & Harkema, R., 1986. "Maximum likelihood estimation of sum-constrained linear models with insufficient observations," Economics Letters, Elsevier, vol. 20(4), pages 325-329.
    • Handle: RePEc:eee:ecolet:v:20:y:1986:i:4:p:325-329
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    Cited by:

    1. Silvia Teizzi, 1999. "External Effects of Agricultural Production in Italy and Environmental Accounting," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 13(4), pages 459-472, June.
    2. Moschini, GianCarlo & Moro, D., 1993. "Food Demand System for Canada, A," Staff General Research Papers Archive 12753, Iowa State University, Department of Economics.
    3. van Heeswijk, B J & de Boer, P M C & Harkema, R, 1993. "A Dynamic Specification of an AIDS Import Allocation Model," Empirical Economics, Springer, vol. 18(1), pages 57-73.
    4. Carlo Ciccarelli & Gianni De Fraja & Silvia Tiezzi, 2021. "How hard is it to maximize profit? Evidence from a 19th-century Italian state monopoly," Oxford Economic Papers, Oxford University Press, vol. 73(2), pages 879-902.
    5. de Boer, P. M. C. & Harkema, R., 1986. "An Algorithm For Maximum Likelihood Estimation Of A New Covariance Matrix Specification For Sum-Constrained Models," Econometric Institute Archives 272357, Erasmus University Rotterdam.
    6. Moschini, Giancarlo, 1998. "The semiflexible almost ideal demand system," European Economic Review, Elsevier, vol. 42(2), pages 349-364, February.
    7. Grose, S. & McLaren, K., 2000. "An EM Algorithm for Modelling Variably-Aggregated Demand," Monash Econometrics and Business Statistics Working Papers 2/00, Monash University, Department of Econometrics and Business Statistics.
    8. Kenneth Clements & Wana Yang & Dongling Chen, 2001. "The matrix approach to evaluating demand equations," Applied Economics, Taylor & Francis Journals, vol. 33(8), pages 957-967.
    9. Grose, S. & McLaren, K., 2000. "Estimating Demand with Varied Levels of Aggregation," Monash Econometrics and Business Statistics Working Papers 1/00, Monash University, Department of Econometrics and Business Statistics.

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