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Distribution Of Elasticity Estimates Computed From Factor Demand Systems Consultant Final Report Iica Emrapa Procensul Ii
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Book Synopsis Distribution of elasticity estimates computed from factor demand systems by : A. R. Gallant
Download or read book Distribution of elasticity estimates computed from factor demand systems written by A. R. Gallant and published by Bib. Orton IICA / CATIE. This book was released on 1989 with total page 60 pages. Available in PDF, EPUB and Kindle. Book excerpt: On the asymptotic normality of fourier flexible form estimates.
Book Synopsis distribution of elasticity estimates computed from factor demand systems consultant final report iica/emrapa-procensul ii by :
Download or read book distribution of elasticity estimates computed from factor demand systems consultant final report iica/emrapa-procensul ii written by and published by IICA. This book was released on with total page 68 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Distribution of Elasticity Estimates Computed from Factor Demand Systems by : A.R. Gallant
Download or read book Distribution of Elasticity Estimates Computed from Factor Demand Systems written by A.R. Gallant and published by . This book was released on 1989 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Sequences defining a relationship between the number of parameteres in a Fourier factor demand system and the sample size such that elasticity estimates are asymptotically normal are characterized. The main technical problem in achieving this characterization is caused by the fact that the minimum eigenvalue of the expected sum of squares and cross products matrix of the generalized least squares estimator, considered as a function of the number of parameters, decreases faster than my plynomial. This problem is addressed by establishing a uniform strong law with rate for the eigenvalues of the sample sum of squares and cross products matrix. Because the minimum eigenvalue decreases faster than any polynomial, these sequences that relate parameteres to sample size grow slower than any fractional power of the sample size.
