The purpose of this research is to analyze the influence of financial literacy and materialism on the savings decision of Indonesia's generation Z. This study was motivated by the country's agenda to achieve financial inclusion and develop human resources throughout the nation. We distributed questionnaires to 430 university students to measure their financial literacy score and materialism level, as well as the savings rate of every respondent. Through a series of regression analyses, we find that (i) age, gender, and major of study significantly influence financial literacy score; (ii) financial literacy positively influences savings decision; and (iii) materialism negatively influences savings decision. Our findings generally foretell favourable financial conditions for future generations of Indonesians. Finally, we also strongly recommend policymakers to start integrating financial education as a compulsory part of every school's curriculum, regardless of level.
The COVID-19 pandemic has taken the world by storm, but the magnitude of its impact differs from country to country. As of August 2020, Indonesia’s COVID-19 case-fatality rate is higher than the world average. The aim of our research is to find out why Indonesia has a high COVID-19 case-fatality rate. Using OLS regression models, we found the number of COVID-19 related deaths, the number of COVID-19 tests performed, population age, population, voice and accountability index, and control of corruption index are significant predictors of a country’s COVID-19 case-fatality rate. Based on our results, we conclude that Indonesia’s COVID-19 case-fatality rate is higher than it is supposed to be, mainly because of a lack of COVID-19 testing and accurate public information.
Gender equality is one of the most important issue in the labor market. In this paper, we want to observe the level of gender equality in Indonesia’s labor market. One of the ways to do this is to estimate the relationship between gender and salary. We obtained a sample size of 1404 white-collar Indonesian employees, which consists of several variables such as salary, gender, age, education level, university, experience, job role, managerial role and company size. We estimated the relationship using Ordinary Least Squares and Blinder-Oaxaca Decomposition, and conclude that in general, gender has no significant impact on salary after holding all other variables constant. However, when we subset the data set to only young workers, we found evidence of salary-based discrimination towards young women in Indonesia’s labor market.
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