Milimo, Mashini (2020) On The Modeling Of Per Capita Household Expenditure In Tanzania Using Bayesian Two Level Hierarchical Log-Logistic Approach: A Case Study Of Dodoma Region. Masters thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
In Tanzania, the fight against poverty is a long-standing agenda, various efforts and initiatives were designed to eradicate poverty and increase economic growth among the citizen. However, there is evidence that real growth over the past decade has not been reflected in a rapid reduction in poverty rates. In this regard, the government needs an analysis of household welfare or poverty. The objective of this study is to get the best model and determine the factors that explain household expenditure. Household expenditure data has a hierarchical structure therefore modeling will be conducted using the two-level hierarchical linear model with the characteristic of households in the first level and district characteristics at the second level. The modeling is set on the basis of Log-logistic with three-parameter (LL3) and the estimation process is then accomplished by using a Bayesian approach with Markov chain Monte Carlo (MCMC) and Gibbs sampling algorithms. We found that three predictors in micro model among all are statistically insignificant. These factors are age of household head, level of education and gender of the head. Furthermore, in macro model all estimated parameter of the district predictors was significant at 95% credible interval. It means that the four districts' predictor effected on per capita household expenditure.
| Item Type: | Thesis (Masters) |
|---|---|
| Additional Information: | RTSt 519.542 Mas o-1 |
| Uncontrolled Keywords: | Bayesian Hierarchical Linear Model, Log-logistic Approach, MCMC, and Per Capital HE |
| Subjects: | H Social Sciences > HA Statistics > HA31.3 Regression. Correlation. Logistic regression analysis. |
| Divisions: | Faculty of Science and Data Analytics (SCIENTICS) > Statistics > 49101-(S2) Master Thesis |
| Depositing User: | Milimo Mashini |
| Date Deposited: | 14 Mar 2025 00:52 |
| Last Modified: | 14 Mar 2025 00:52 |
| URI: | http://repository.its.ac.id/id/eprint/74576 |
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