Wealth and Happiness: Empirical Evidence from Indonesia
Landiyanto, Erlangga Agustino and Ling, Jeffrey and Puspitasari, Mega and Irianti, Septi Eka
2011
Online at https://mpra.ub.uni-muenchen.de/50012/
MPRA Paper No. 50012, posted 21 Sep 2013 16:48 UTC
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1 This paper is personal view of authors and did not represent the views of UNICEF or other United Nations Body. Previous version of this paper was presented at 10th Indonesian Regional Science Association International Conference, July 28-29, 2010, in Surabaya, Thanks in advance for Karen
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3 Research fellow, School of Business and Economics, University Malaysia Sabah, Malaysia
4 Student of Faculty of Economics, Airlangga University
5 Student of Faculty of Economics, Airlangga University
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Dependent Variables
Description Level of Measurement
and Data Management Happiness This variable measure respondents’ subjective well being
through indentify their self perception on happiness. Whether they are feeling happy or not.
Nominal 1 = Happy 0 = Not Happy Age Age is related to maturity, experience and the way to see
live. Age also related to physical condition of respondent.
Ratio Education This variable refers highest formal school attended by
respondents. In Indonesia, basic education is nine years education (graduate from junior high school or equivalent).
Nominal
1 = have minimum basic education
0 = not achieve basic education Health This variable is self perception of respondents’ health status.
It measure what is respondents’ feeling about their health.
Nominal 1 = Healthy 0 = Not Healthy Asset This variable provide total value of non-business assets (e.g.,
land, livestock, jewelry), as well as asset ownership and ownership shares. To control variation between households, logistic natural are being used for regression analysis.
Ratio
Marriage Formal Marital status related to secure relation between couples. This relation are protected by law and should provide more stable relation.
Nominal
1 = Formal Marriage 0 = Unmarried, Non formal marriage and ever married Household
Expenditure
This variable combine expenditures for a variety of food and nonfood goods and services, including foods purchased and the value of foods consumed from self-production or transfers in the last week, personal care and household items bought during the last month, and durable goods bought in the last year. Quantities and purchase prices for the last purchase of several staples were also collected for various foods. To control variation between households, logistic natural are being used for regression analysis.
Ratio
Gender Gender related to difference physical condition between male and female. In some culture, gender related to difference gender role.
Nominal 1 = Male 0 = Female
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