| Issue |
E3S Web Conf.
Volume 125, 2019
The 4th International Conference on Energy, Environment, Epidemiology and Information System (ICENIS 2019)
|
|
|---|---|---|
| Article Number | 09016 | |
| Number of page(s) | 4 | |
| Section | Culture and Environment Development in Coastal Community | |
| DOI | https://doi.org/10.1051/e3sconf/201912509016 | |
| Published online | 28 October 2019 | |
Analysis of Household Expenditures on Education in Semarang City, Indonesia Using Tobit Regression Model
Department of Statistics, Faculty of Science and Mathematics, Diponegoro University, Tembalang, Semarang
* Corresponding author: alan.prahutama@gmail.com
Data on household expenditure for education is censored data. One method used to analyze this censored data is Tobit regression. Tobit regression changes the response variable which was originally a nominal scale into a mixed scale measurement. Tobit regression can overcome the non-biased categorical regression model. This study aims to analyze the factors that influence household expenditure on education in Semarang city. The dependent variable used in this study is household expenditure for education. The independent variables used include the Education of the Head of the Household, Occupation of the Head of the household, number of household members, Number of Working Household Members, the proportion of household members who attend school ≤ in Junior High School, Senior High School and College, food expenditure in households and regions. Based on the Tobit regression model obtained, the factors that influence household expenditure for education include the number of household members (ART), Number of Working Household Members, the proportion of household members who attend school ≤ in Junior High School, Senior High School and College, food expenditure in households. Generate market research especially in customer satisfaction.
Key words: Tobit Regression Model / Household expenditures on education
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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