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dc.contributor.authorKarim, Abdul
dc.contributor.authorWasono, Rochdi
dc.contributor.authorDarsyah, Moh Yamin
dc.date.accessioned2016-02-26T07:24:51Z
dc.date.available2016-02-26T07:24:51Z
dc.date.issued2016-02
dc.identifier.citation[1] Balta gi B.H , Econometr ics Analys is of Panel Data , 3rd e dition, C hichester , England : Jo hn W ile y & Sons Lt d, 2005. [2] Greene W.H , Ec ono metr ics ana lys is , Thir d Edit ion, USA :Prentice Ha ll Internat iona l, Inc , 2003 [3] Elhorst J.P , Spat ia l Panel Data Mode ls. In Fischer MM, Get is A (Eds) Handb ook of A pplied Spatia l Ana lys is , Ch. C.2, Berlin He ide lber g New York : Spr inger, 2010. [4] Karim. A dan Wasono. R , Pemode la n Produks i Kede la i di Provins i Jawa Tenga h me nggunakan D ua Proses Spat ia l, Ma ka lah dipresentasika n di Semina r Nasional Matematik a dan Pendidik an Matematika , Univers itas Ahmad Dahla n, Yogya karta , 2014 [5] Kari. , A dan Setiawan, Pemode la n PDRB Sektor Indus tri di SWP Ger bangkertas usila Da n Ma la ng- Pasurua n de ngan Pe ndekata n Spatia l Dur bin Error Model, Prosiding Seminar Nasional FMIPA. Univers itas Ne ger i Sura baya , 2012. [6] Karim, A dan Alfiyah, Kajian Efek Spatial Bantuan Operasional Sekolah (BOS) Menggunakan Analisis Spatial, Jurnal Statistika Universitas Muhammadiyah Semarang, 2, 1-2, 2014. [7] Karim, A dan Wasono, R, Modelling Malnutrition Toddlers in East Java Province using Spatial Regression. Research paper presented at International Conference on Biomedical, Universitas Gajah Mada, 2014. [8] LeSage. J.P, The Theory and Practice of Spatial Econometrics, Departement of Economics, University of Toledo, 1999. [9] Setiawan, Ahmad. I.S dan Karim. A, Study of Spatial Weight Matrices of SDM and SDEM for Modelling GDP Main Sector in Jawa Timur Indonesia, Research paper presented at International Conference on Statistics and Mathematics Institut Teknologi Sepuluh Nopember, 2015. [10] Yu, J., de Jong, R., Lee, L.F., (2008). Quasi-maximum likelihood estimators for spatial dynamic panel data with fixed effects when both n and T are large. J. Econ. 146, 118– 134. [11] Kukenova, M., Monteiro, J.A. (2009). Spatial dynamic panel model and system GMM : a Monte Carlo investigation.http://ideas.repec.org [12] Yan dan Gang Su. (2009). Linear Regression Analysis : Theory and Computing. World Scientific. Singapore. [13] Casela, Fenberg dan Olkin. (2009). A Modern Approach to Regression with R. Springer. New York, USA.in_ID
dc.identifier.issn2407-9189
dc.identifier.urihttp://hdl.handle.net/11617/6815
dc.description.abstractThe industrial sector is one of the leading sectors in the econo mic development in Central Java. Econometric mod els for GDP from the industrial sector is affected by the amount of labor in the industrial sector and wag es. Effects territory from other regions as well as the eff ects of time aff ects the variation of the GDP indu strial sector. The data used in this research is secondary data ob tained from the Central Statistics Agency (BPS) for the period 2011 -20 13. The purpose of this pa per is to k now the area and the time factor affecting industrial sector GDP, so it is used econometric method s o f spatial autoregressive (SAR) pa nels data. In this study using spatial queen contiguity weights, the panel built SAR models in the study of SAR models by ap plying a fixed effect an d rando m eff ect. Hausman test models ba sed on random eff ect obtained. This mod el results produce an effect region (spatial) do es not affect the value of GDP in the industrial sector in Central Java using weights matrix queen, then wages have a signif icant effect on alpha 5 percent of GDP and the City District in Central Java.in_ID
dc.language.isoidin_ID
dc.publisherLPPM STIKES Muhammadiyah Kudusin_ID
dc.subjectGDPin_ID
dc.subjectindustrial sectorin_ID
dc.subjectSARin_ID
dc.subjectpanel datain_ID
dc.titlePemodelan Produk Domestik Regional Bruto (PDRB) Sektor Industri dengan Pendekatan Spatial Autoregressive Panel Datain_ID
dc.typeArticlein_ID


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