000			02134naa a22004217a 4500
999			_c18432 _d18432
003			CR-SiIICA
005			20230606062759.0
006			a|||||r|||| 00| 0
007			ta
008			930101t1989 cr |||||r|||| 00| | eng d
022			_a0534-0591
040			_cCR-SiIICA _aCR-SiIICA _bEs
041			_aeng _beng
090			_aIICA _bPM-A4/BR 89-055
100			_969847 _aGallant, R.A. _eautor/a
245	1	0	_aDistribution of elasticity estimates computed from factor demand systems
260			_aBrasilia, DF (Brasil): _bIICA, _c1988
300			_a41 páginas: _b1 tabla
440			_9170809 _aPubliçacöes Miscelâneas (IICA) _x0534-0591 _v; no. 89-055
504			_aIncluye 17 referencias bibliográficas en las páginas R.1-R.2
520			_aSequences defining a relationship between the number of parameters in a Fourier factor demand systems 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 any polynomial. 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 eingenvalue decreases faster than any polynomial, these sequences that relate parameters to sample size grow slower than any fractional power of the sample size. (MIBA)
690			_9145103 _aECONOMETRIA
690			_9143669 _aDEMANDA
710	2		_99663 _aIICA, Brasilia, DF (Brasil)
710			_aEmpresa Brasileira de Investigación Agropecuaria (EMBRAPA) _cBrasilia, Brasil _97343
856			_qpdf _uhttps://repositorio.iica.int/handle/11324/10948 _yeng
901			_aE10 _b18004
903			_aV
904			_aIICA
905			_aC
906			_a19930101
907			_aCIDIA, San José (Costa Rica)
908			_aB
909			_aMS
912			_aeng
942			_cIMP _aPUB