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This paper examines the link between parental income during adolescent years and higher education choices of the offspring at age 18. This study is the first to use a recent longitudinal data set from New Zealand (Christchurch Health and Development Surveys, CHDS), in the higher education context. The paper examines the impact of family income and other resources throughout adolescent years on later decisions to participate in higher education and the choice of type of tertiary education at age 18. A binary choice model of participation in education, and a multinomial choice model of the broader set of choices faced at age 18, of employment, university, or polytechnic participation are estimated. Among the features of the study are that it incorporates a number of variables, from birth to age 18, which allow us to control further than most earlier studies for ability heterogeneity, academic performance in secondary school, in addition to parental resources (e.g. childhood IQ, nationally comparable high school academic performance, peer effects, family size and family financial information over time). The results highlight useful features of intergenerational participation in higher education, and the effect of parental income on university education, in particular.

The study unravels the effects of climate-induced variations in staple crop yields on various migratory inflows in India while adjusting for seasonal weather and sociodemographic factors.

The instrumental variable approach is used to assess the potential effects of climate and nonclimate parameters on various migration types, exploiting panel data at the district level from the 2001 and 2011 Census years, with agriculture acting as the mediator.

As weather-driven variations in rice and wheat yield increase by 10%, the share of migration within and between districts to population decreases by 0.017 and 0.002, respectively. However, rice and wheat yields increase by 494.60 and 524.40%, respectively, with a marginal increase in the share of migration within states to population. Also, the elasticities of disadvantaged groups, literate locals and agricultural workers vary for different relocations.

The current study affirms climate migration through the agricultural channel at a finer spatial scale, asserting the sensitivity aspect of disparate movements to periodic weather and heterogeneous clusters. This is critical for effectively implementing targeted public policies in the face of increasing climate risks.

The peer review history for this article is available at https://publons.com/publon/10.1108/IJSE-10-2022-0710