Mobarak Hossain

Gujarati DN. Essentials of econometrics. Sage Publications; 2021. Baig MA, Zaman Q, Baig SA, Qasim M, Khalil U, Khan SA, et al. Regression analysis of hydro-meteorological variables for climate change prediction: A case study of Chitral Basin, Hindukush region. Sci Total Environ. 2021;793:148595. Google Scholar Gyawali R, Griffis VW, Watkins DW, Fennessey NM. Regional regression models for hydro‐climate change impact assessment. Hydrol Process. 2015;29(8):1972–85.

1 Introduction and Background A large literature in the social sciences estimates inequality of opportunity in life outcomes such as education, occupation, income, and wealth (Black and Devereux 2011; Breen and Jonsson 2005; Torche 2015). This research measures inequality of opportunity as the effects of the three types of ascribed characteristics (i) social origin, (ii) gender, and (iii) race/ethnicity/migration background on life outcomes.

Introduction Intergenerational educational mobility refers to the extent to which children's educational attainment is (un)related to that of their parents. This topic has gained increasing policy attention globally in efforts to reduce the perpetuation of (dis)advantages across generations (Breen 2022; Buchmann 1999; Jackson and Buckner 2016).