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Analisis data panel ke atas fungsi pengeluaran sektor pembuatan makanan di Malaysia

The main purpose of this article is to introduce the technique of panel data analysis in econometrics modeling. The elasticity of labour, capital and economic of scale for twenty two food manufacturing firms covering from 1989 to 1993 is estimated using the Cobb-Douglas model. The three main techniq...

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Main Authors: Mohd Nor, Abu Hassan Shaari, Maarof, Fauziah
格式: Article
語言:English
出版: Penerbit Universiti Kebangsaan Malaysia 2004
在線閱讀:http://psasir.upm.edu.my/id/eprint/28376/1/Analisis%20data%20panel%20ke%20atas%20fungsi%20pengeluaran%20sektor%20pembuatan%20makanan%20di%20Malaysia.pdf
http://psasir.upm.edu.my/id/eprint/28376/
http://www.ukm.my/jsm/english_journals/vol33num1_2004/vol33num1_04page43-52.html
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spelling my.upm.eprints.283762016-02-02T05:33:53Z http://psasir.upm.edu.my/id/eprint/28376/ Analisis data panel ke atas fungsi pengeluaran sektor pembuatan makanan di Malaysia Mohd Nor, Abu Hassan Shaari Maarof, Fauziah The main purpose of this article is to introduce the technique of panel data analysis in econometrics modeling. The elasticity of labour, capital and economic of scale for twenty two food manufacturing firms covering from 1989 to 1993 is estimated using the Cobb-Douglas model. The three main techniques of panel data analysis discussed are least square dummy variables (LSDV), analysis of covariance (ANCOVA) and generalized least square (GLS). Ordinary Least Square (OLS) method is included as the basis of comparison. Penerbit Universiti Kebangsaan Malaysia 2004 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/28376/1/Analisis%20data%20panel%20ke%20atas%20fungsi%20pengeluaran%20sektor%20pembuatan%20makanan%20di%20Malaysia.pdf Mohd Nor, Abu Hassan Shaari and Maarof, Fauziah (2004) Analisis data panel ke atas fungsi pengeluaran sektor pembuatan makanan di Malaysia. Sains Malaysiana, 33 (1). pp. 43-52. ISSN 0126-6039 http://www.ukm.my/jsm/english_journals/vol33num1_2004/vol33num1_04page43-52.html
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description The main purpose of this article is to introduce the technique of panel data analysis in econometrics modeling. The elasticity of labour, capital and economic of scale for twenty two food manufacturing firms covering from 1989 to 1993 is estimated using the Cobb-Douglas model. The three main techniques of panel data analysis discussed are least square dummy variables (LSDV), analysis of covariance (ANCOVA) and generalized least square (GLS). Ordinary Least Square (OLS) method is included as the basis of comparison.
format Article
author Mohd Nor, Abu Hassan Shaari
Maarof, Fauziah
spellingShingle Mohd Nor, Abu Hassan Shaari
Maarof, Fauziah
Analisis data panel ke atas fungsi pengeluaran sektor pembuatan makanan di Malaysia
author_facet Mohd Nor, Abu Hassan Shaari
Maarof, Fauziah
author_sort Mohd Nor, Abu Hassan Shaari
title Analisis data panel ke atas fungsi pengeluaran sektor pembuatan makanan di Malaysia
title_short Analisis data panel ke atas fungsi pengeluaran sektor pembuatan makanan di Malaysia
title_full Analisis data panel ke atas fungsi pengeluaran sektor pembuatan makanan di Malaysia
title_fullStr Analisis data panel ke atas fungsi pengeluaran sektor pembuatan makanan di Malaysia
title_full_unstemmed Analisis data panel ke atas fungsi pengeluaran sektor pembuatan makanan di Malaysia
title_sort analisis data panel ke atas fungsi pengeluaran sektor pembuatan makanan di malaysia
publisher Penerbit Universiti Kebangsaan Malaysia
publishDate 2004
url http://psasir.upm.edu.my/id/eprint/28376/1/Analisis%20data%20panel%20ke%20atas%20fungsi%20pengeluaran%20sektor%20pembuatan%20makanan%20di%20Malaysia.pdf
http://psasir.upm.edu.my/id/eprint/28376/
http://www.ukm.my/jsm/english_journals/vol33num1_2004/vol33num1_04page43-52.html
_version_ 1643829446072860672
score 13.250246

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