Advances in Econometrics, Income Distribution and Scientific by Edmond Malinvaud (auth.), Prof. Daniel J. Slottje (eds.)

By Edmond Malinvaud (auth.), Prof. Daniel J. Slottje (eds.)

Articles on econometric method with certain connection with the quantification of poverty and monetary inequality are provided during this ebook. Poverty and inequality dimension current designated difficulties to the econometrician, and every one of these papers examine tips to assault these problems.
The issues and contributions within the ebook are an excellent illustration of Camilo Dagum's unbelievable variety of pursuits and total eclecticism. a number of of the authors are best pioneers in econometric technique. numerous others are pioneers in monetary concept and others are the major utilized economists in source of revenue distribution research on the planet. the themes adequately replicate Camilo Dagum's breadth of realizing throughout varios financial sub-fields, all advanced in nature.

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Kohn, R. (1985) "Estimation, Filtering, and Smoothing in State Space Models with Incompletely Specified Initial Conditions", The Annals ofStatistics, Vol. 4, pp. 1286-1316. F. and Kohn, R. (1989), "Filtering and Smoothing in State Space Models with Partially Diffuse Initial Conditions" , Journal of Time Series Analysis, Vol. 11 pp. 275-293. R. (1991), "Initializing the Kalman Filter for Nonstationary Time Series Models", Journal of Time Series Analysis, Vol. 12, pp. 283-300. , Feibes, W. C. (1967), "Further Methods of Derivation of Quarterly Figures from Annual Data", Applied Statistics, Vol.

1971), "Best Linear Unbiased Interpolation, Distribution and Extrapolation of Time Series by Related Series", Review of Economics and Statistics, Vol. 4, pp. 372-375. , Miiller, W. W. (1971) "Autoregressive Approaches to the Disaggregation of Time Series Data", Applied Statistics, Vol. 20, pp 119-129. 38 Estela Bee Dagum, Pierre A. Cholette [10] Dagum, E. A. -G. (1998), "A Unified View of Signal Extraction, Benchmarking and Interpolation of Time Series", forthcoming in International Statistical Review.

Thus, some academic scholars and some in-house researchers in non-specialist firms tended to construct relatively small models (50 to 200 equations in total), because at the time the memory capacity of the personal computers could not easily handle larger models. I9 Thus the trend towards seeking more careful explanations of the behaviour of economic agents, requiring more detailed and larger models, was for a time interrupted. On the other hand, if one still wished to use a large scale model without incurring the expenses of drastic reprogramming (500 to 2000 equations), the mainframe computer was still available.

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