JOURNAL OF APPLIED MICROECONOMETRICS 2022-06-24T00:00:00+03:00 Aysu Şahintepe Open Journal Systems <p><strong>The Journal of Applied Microeconometrics (ISSN: 2791-7401)</strong> is a peer-reviewed open access journal covering any issues in theoretical and applied microeconometrics. The journal also covers quantitative research in microeconomics. Journal of Applied Microeconometrics aims to serve as a platform for high quality research in applied microeconometrics. The scope of the Journal includes any papers dealing with identification, modelling, estimation, testing and prediction issues encountered in the analysis of individual-level data on the economic behavior of individuals or firms using regression methods for microeconometric data i.e. cross sectional data, repeated cross- sectional data, pool data, cohort and panel data etc. The journal also accepts case study articles written for both developing and developed countries. The language publication of the journal is <strong>English. </strong>It is published<strong> 2 times</strong> a year as SUMMER (June) and WINTER (December) periods.</p> Dynamics affecting renewable energy: A panel quantile regression approach 2022-02-24T16:42:38+03:00 Tuğba Dayıoğlu <p>The effective use of energy resources, energy production and consumption are accepted as one of the most basic indicators of development in recent years. It has become important to use these energy resources in an environmentally friendly manner and have a positive and efficient effect on the economy. The relationship between renewable energy consumption (LREC) and economic factors such as growth rate of GDP per capita (LGDP)), fixed capital investment (LFCI), total labor (LTL), total amount of waste per capita (LWCA) is examined in this study. Data on those variables are collected for the period of 2012-2020 for OECD countries. A panel quantile regression approach method is employed to examine the association between renewable energy consumption (REC) and economic factors. The effects of independent variables on renewable consumption have been interpreted depending on the estimation results obtained in the analysis. Firstly, the panel unit root tests are determined for stationarity. As a result, a panel quantile approach is adopted. The results of the analysis show that all economic variables used in the model have a statistically significant effect on renewable energy consumption in the last two quantiles.</p> 2022-06-24T00:00:00+03:00 Copyright (c) 2022 Holistence Publications Estimating returns to education: The control function approach 2022-05-07T11:14:14+03:00 Merve Çelik Keçili Ethem Esen <p>This study aims to evaluate the effect of schooling years on wage level in Turkey by using the Mincer wage equation. This function is used as the baseline for the investigation of earnings determinants. For this purpose, the relationship between wage and education level of people is estimated by using a semiparametric regression model considering the control function approach. Various variables such as education level, experience, gender and marital status are estimated separately in the wage model by utilizing the Household Budget Statistics micro data set of 2017 in Turkey obtained by the Turkish Statistical Institute. The parametric model does not clarify the model clearly when functional form of relation is not known. To overcome this drawback, semiparametric regression model, which contains parametric and nonparametric variables, can be successfully applied. This model is extended by adding the 1997 education reform as a control variable. The achieved semiparametric test results from this study showed that there is a positive relationship between schooling years and wage level. On the other hand, control function approach results indicate the existence of fluctuant progress for the effect of schooling years on the wage level along the period.</p> 2022-06-24T00:00:00+03:00 Copyright (c) 2022 Holistence Publications A cross-sectional analysis of factors affecting human development index 2022-05-06T09:21:40+03:00 Tuğçe Acar Derya Topdağ <p><em>Although human development has made significant progress in recent years, especially in developing countries, there are differences in human development between countries. To determine the development level of a country, it is necessary to evaluate the social, cultural, demographic and political factors along with the economic factors. The Human Development Index, which covers three basic components in terms of socio-economic order, such as income, education and health, gains a different dimension in the name of welfare in all of these areas. Therefore, this study aims to determine factors affecting human development which is essential in terms of development goals. A cross-sectional analysis on a global scale is presented to investigate the impact of democracy, economic development, IMF loan use, infant mortality, and urbanization on human development. Quantile regression was estimated for 128 countries using 2019 data. The estimation results show that per capita income, democracy, urbanization, and IMF loan use have positive effects on human development. In contrast, infant mortality reduces human development. Afterward, we discussed the findings obtained from the analysis.</em></p> 2022-06-24T00:00:00+03:00 Copyright (c) 2022 Holistence Publications