There are many studies in the literature on child labor. However, most of these studies are based on statistics on children,or the factors that cause child labor are explained as economic concepts. The purpose of this study is to investigate thereasons why school-age children adopt the role of "child laborer" and determine the effects of these factors. In thiscontext, in order to examine the factors affecting child labor in developing countries, this study has tried to determinethe factors causing child labor with dynamic panel data analysis using MINT Countries data for the period of 1990-2018.The countries’ development levels and poverty are closely related to child labor. For this reason, the human developmentindex is added to the model as a dependent variable. Considering the studies in the literature, population growth, primaryschool enrollment rate, primary school duration, and labor force participation rate variables were added to the modelas independent variables. At the end of the analysis, all variables were found to be statistically significant. The effect ofpopulation growth and the number of primary school students on the human development index was negative, while theeffect of other variables was positive.