Nayaka Artha Wicesa
Department Of Economics Universitas Brawijaya

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The Dynamics of Exchange Rate, Inflation, and Trade Balance in Indonesia Nayaka Artha Wicesa; Yon Widiyono; David Kaluge
Jurnal Ekonomi Kuantitatif Terapan 2021: Vol. 14, No. 2, Agustus 2021 (pp.243-431)
Publisher : Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JEKT.2021.v14.i02.p03

Abstract

Balance of trade has become an essential indicator for economic activities, particularly in countries adopting the open economy. During the last two decades, Indonesia has had trade surplus. The open economy has created dynamics in macroeconomic variables. The purpose of this research is to identify any dynamics between exchange rate, inflation, and balance of trade in Indonesia. Using the Autoregressive Distributed Lag, this study finds the dynamics between the said variables. In the short run, there are causalities between exchange rate and balance of trade, exchange rate and inflation, and balance of trade and inflation. In addition, J-Curve also occurred in Indonesia, where depreciation in exchange rate gradually improves the country’s balance of trade in the second and fourth quarters. Keywords: Exchange Rate, Inflation, Balance of Trade, Autoregressive Distributed Lag JEL Classification: F1, F4, C1
Apakah Orang yang Lebih Kaya Lebih Sehat? Axellina Muara Setyanti; Nayaka Artha Wicesa
Jurnal Ekonomi Kuantitatif Terapan 2021: Vol. 14, No. 1, Februari 2021 (pp.1-241)
Publisher : Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JEKT.2021.v14.i01.p06

Abstract

The elderly population in Indonesia has doubled in the last five decades, along with an increase in life expectancy and mortality. Those who were born in the 1940s to 1960s or the baby boomer generation are those who are in old age now. There are many studies that analyze the relationship of wealth to one's health level, but not many have looked specifically at the elderly population. The objective of this study is to determine the effect of wealth on elderly’s health condition. Using binomial logistic regression, this study found that the highest average health probability of the elderly was 78.96 percent, i.e. those with working status, above average income and no expenditure on unhealthy commodities such as cigarettes, while the average health probability the lowest was 52.44 percent, i.e. those with non-work status, below-average income, and having expenditures for unhealthy commodities. This study found that wealth affects the health level of the elderly. These conclusions, accompanied by aging conditions in a country have policy implications that must consistently implement efforts to improve social welfare for the elderly, thereby creating healthy and active aging.
Towards Equity Projecting and Converging the Human Development Index in Indonesia Nayaka Artha Wicesa; Axellina Muara Setyanti; Silvi Asna Prestianawati
Jurnal Ekonomi Kuantitatif Terapan Vol 17 No 1 (2024): Vol. 17, No. 1, Februari 2024 (pp.1-154)
Publisher : Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JEKT.2024.v17.i01.p07

Abstract

Human development has become an imperative for Indonesia amid the ongoing demographic bonus. However, various challenges persist in the realm of human development in the country, as evidenced by disparitie?s in Human Development Index (HDI) achievements. This research aims to project Indonesia's HDI for the years 2023, 2024, 2035, and the "Golden Indonesia" period in 2045 to discern the developmental trajectory of HDI and its disparities. Additionally, it seeks to measure the convergence of Indonesia's HDI to attain equitable development. The results of the trend projection estimations indicate that Indonesia's HDI is projected to be 73.74 in 2023 and 74.28 in 2024, which is anticipated to fall below the target set by the government, aiming for an HDI of 75.54 in 2024. Indonesia's HDI is projected to reach 80.22 in 2035 and 85.62 in 2045, categorizing it as 'Very High,' aligning with the vision for the Golden Indonesia in 2045. Furthermore, conditional convergence analysis results indicate that it would take 75 years for provinces with lower HDI to catch up with those with higher HDI, achieving zero inequality. Based on the estimation results, it is found that Per Capita Spending on Educational Functions is a significant variable influencing HDI convergence. Keywords: Human Development Index, Disparity, Convergence, Projection JEL Classification: C01, O11, O15