No abstract

MSNBurr and MSTBurr distribution have been developed as Neo-Normal distributions that represent a relaxation of normality. The difference between them is that the MSTBurr’s peak is below MSNBurr’s. In this paper, we propose a MSEPBurr distribution with its peak could be not only lower but also high-er than MSNBurr. Furthermore, we study several properties of MSEPBurr, such as mean, variance, skewness, kurtosis, and quantile. The MSEPBurr parameters are estimated by using the Bayesian approach with the BUGS language implementation for its computation. We employ simulation study and use existing data to illustrate the application of the regression model. In real data, we notice that MSEPBurr has similar performance with MSNBurr and MSTBurr that they outperform Normal and Student-t distribution in Australian athlete data because their skewness can accommodate long left tail excellently. However, their performance is less than the Student-t model in chemical reaction rate data because their skewness can not accommodate long right tail perfectly. Although in general their perfor-mance is the same,  we observe that the MSEPBurr performs better than the MSNBurr and the MSTBurr in some simulated data.

The impact of coronavirus disease 2019 (Covid-19) pandemic is not only on health problems, but also has a negative impact on economic. The sector that economically worst affected by the pandemic is the tourism and its derivatives. As a result of depending heavily on the tourism sector, Bali is the province with the most labor force that has stopped working during the pandemic. In this study, data from the national labor force survey were analyzed using the Weibull-Gamma Shared Frailty Survival Model to explore the determinants of labor force resilience against the event of stop working due to the Covid-19 pandemic. The results show that gender, education level, experience in training, marital status, and age of labor force are variables that significantly affect on how quickly a labor force experiences an event of stop working. Moreover, variations among regions where they work (regencies/cities) also have a significant effect on stop working acceleration.

This paper aims to analyze the relationships between village (desa) and regional economic activities. The government of Indonesia introduces the concept of building Indonesia from the periphery. The government put more effort into strengthening regions and villages within the framework of a unitary state. We estimate the relationships between village resources, village development, and economic growth controlled by capital and the size of the municipalities. All 434 municipalities receiving village funds from 2019 to 2021 are included in this study, grouped by the main islands of Indonesia. We use panel methods with various approaches such as Common Effects Model (CEM), Fixed Effects Model (FEM), Random Effects Model (REM), and Generalized Estimating Equation (GEE) to estimate the relationships. Village development contributes to local economic activities in two ways. The resource available for the village will improve economic activities, while the level of development might have different behavior. In the beginning, increasing the level of village development improves economic growth. However, in Jawa and Bali islands, at the higher level of village development, the growth might be slower. The result implies that government may put more effort into developing villages to improve economic development. To improve regional economic growth, putting more resources into the village might be beneficial. The objective of the development may differ for villages with different levels of the index. Higher growth should be targeted for villages with a lower level of developing index. On the other hand, villages with a higher level of index might be more advantageous to have social and ecological objectives. Sustainable regional economic development might be achieved by developing villages. The results provide positive views on the concept of building Indonesia from the periphery.

No abstract