Data/hora: 10/06/2024 03:56:50

Biblioteca(s): 	Embrapa Hortaliças; Embrapa Unidades Centrais.	
Data corrente: 	03/03/1997	
Data da última atualização: 	12/12/2007	
Autoria: 	SILVA, J. G. C. da.	
Afiliação: 	EMBRAPA/DMQ.	
Título: 	The analysis of cross-sectional time series data.	
Ano de publicação: 	1975	
Fonte/Imprenta: 	1975 .	
Idioma: 	Inglês	
Notas: 	Tese (Doutorado)- Graduate Faculty of Norts Carolina State University at Raleigh, Raleigh. 	
Conteúdo: 	This study is concerned with the estimation of linear relationships from cross-sectional time series data. The subject has been extensively discussed in the econometric literature. The diversity of the approaches proposed in the literature sistems both from the different sets of assumptions and the different estimation procedures adopted. Most of the alternative approahes are based on simpler assumptions than the more realistic assumptions used here. The variance component approaches ignore the possibility of serial correlation in the time direction. The seemingly unrelated regressions approaches assume a specific first order autoregressive error structure and treat cross-sectional unit effects as fixed rather than random. Two models are proposed to fit alternative situations. Model A assumes that the linear relationship is affected by a random disturbance with three...	
Palavras-Chave: 	Analysis; Analysis statistic; Corte transversal; Cross section; Data; Econometric; Econometry; Estatistica experimental; Experimental statistic; Linear model; Mathematical model; Modelo linear; Serie de tempo; Série temporal; Time series; Tyme series analysis.	
Thesagro: 	Análise Estatística; Dado; Econometria; Modelo Matemático.	
Categoria do assunto: 	--	
Registro original: 	Embrapa Unidades Centrais (AI-SEDE)	
Exemplares: 	AI-SEDE - (14894-1) - UPC - TS - -- - 75/057 - SIL - 1975.00057 - DIS
CNPH - (7978-1) - ADD - TS - -- - T SIL 07/75 -  - 1984.07 - DIS