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Applied Microeconomics

Applied Microeconomics

The Applied Microeconomics research group unites researchers working on a broad array of topics within such areas as labour economics, economics of education, health economics, family economics, urban economics, environmental economics, and the economics of science and innovation. The group operates in close collaboration with the CAGE Research Centre.

The group participates in the CAGE seminar on Applied Economics, which runs weekly on Tuesdays at 2:15pm. Students and faculty members of the group present their ongoing work in two brown bag seminars, held weekly on Tuesdays and Wednesdays at 1pm. Students, in collaboration with faculty members, also organise a bi-weekly reading group in applied econometrics on Thursdays at 1pm. The group organises numerous events throughout the year, including the Research Away Day and several thematic workshops.

Our activities

Work in Progress seminars

Tuesdays and Wednesdays 1-2pm

Students and faculty members of the group present their work in progress in two brown bag seminars. See below for a detailed scheduled of speakers.

Applied Econometrics reading group

Thursdays (bi-weekly) 1-2pm

Organised by students in collaboration with faculty members. See the Events calendar below for further details

People

Academics

Academics associated with the Applied Microeconomics Group are:


Natalia Zinovyeva

Co-ordinator

Manuel Bagues

Deputy Co-ordinator


Events

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Applied & Development Economics Seminar - Daniel Christomo (Oxford)

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Location: S2.79

Title: A Culture of Human Capital Formation in Africa

Abstract: Africa remains an outlier in global fertility, yet beneath this continental trend lies striking and persistent variation across ethnic groups. I argue that these differences reflect deep-rooted cultural predispositions toward the quantity–quality trade-off in childrearing. I construct a novel measure of precolonial ethnic human capital investment—capturing the historical presence and intensity of traditional schooling—by combining ethnographic records with machine-learning. Linking this measure to individual-level data from the Demographic and Health Surveys across 23 African countries, and exploiting variation among individuals of different ethnicities who reside outside their ancestral homelands but share the same local environment—thus exposed to the same disease ecology, institutions, and economic conditions—I show that ethnicities with higher precolonial schooling have significantly lower fertility today. Consistent with the proposed mechanism, these groups exhibit greater investment in children鈥檚 human capital and lower desired family size. The findings highlight the long-run persistence of norms associated with human capital investment and introduce a new method for expanding ethnographic records.

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