Irsandy, Diego (2020) Pemodelan Spatial Durbin Model Dengan Metode Pendugaan Bayesian (Studi Kasus Pada Nilai Upah Minimum Kabupaten/Kota Di Jawa Timur Tahun 2018). Sarjana thesis, Universitas Brawijaya.
Abstract
Ekonometrika spasial merupakan subbidang dari ekonometrika yang berurusan dengan efek interaksi spasial dalam amatan geografis. Analisis Statistika untuk model ekonomi dengan mempertimbangkan unsur lokasi dianggap masuk dalam lingkup ekonometrika spasial. Model ekonometrika spasial dapat mengatasi adanya pengaruh Autokorelasi spasial yang terjadi karena adanya kesamaan karakteristik yang terjadi di lokasi yang berdekatan. Spatial Durbin Model (SDM) adalah model regresi spasial yang memuat lag spasial dari variabel respons dan variabel prediktor. Kasus yang digunakan pada penelitian ini adalah Upah Minimum Kabupaten/Kota (
English Abstract
Spatial Econometrics is one of econometrics' subfields that deals with spatial interaction effects in geographic observations. Analyses of statistics for economics that considering elements of location are considered in spatial econometrics' scope. Spatial econometrics can resolve spatial autocorrelation's effect that happened because of similarity of characteristic in adjencent area. Spatial Durbin Model is a regression model that accomodates spatial lag of dependent variable and spatial lag of independent variables. The case used in this research is Minimum Wages that affected by Gross Domestic Bruto (X1), Manpower (X2), and Unemployment Rate (X3) in Jawa Yimur by 2018. The model used is Spatial Durbin Model with Queen-Type Contiguity Matrix as Spatial Weights. The method used to estimate parameters of Spatial Durbin Model is Bayesian Method with Markov Chain Monte Carlo (MCMC) algorithm. The determination of whether the variable(s) significantly affects is by checking whether value of 0 whithin Credible Intervals 2.5% and 97.5%. Based on analysis' results, there are three parameters that significantly affect to Minimum Wages, i.e. intercept with intervals [0.6644, 2.1640], lag of independent variable with intervals [0.0011, 0.0055], and valriable of GDP with intervals [0.0786, 0.8849]
Other obstract
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Item Type: | Thesis (Sarjana) |
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Identification Number: | 0520090048 |
Uncontrolled Keywords: | Ekonometrika Spasial, Spatial Durbin Model, Metode Bayesian, Upah Minimum. |
Subjects: | 500 Natural sciences and mathematics > 519 Probabilities and applied mathematics > 519.5 Statistical mathematics > 519.53 Descriptive statistics, multivariate analysis, analysis of variance and covariance > 519.536 Regression analysis |
Divisions: | Fakultas Matematika dan Ilmu Pengetahuan Alam > Statistika |
Depositing User: | ismanto |
Date Deposited: | 31 Jan 2021 12:09 |
Last Modified: | 02 Oct 2024 04:05 |
URI: | http://repository.ub.ac.id/id/eprint/182204 |
Text
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