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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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Macro/International Seminar - Jonas Gathen (CEMFI)

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Location: S2.79

Title: Historical Persistence and the Dynamics of Development

Abstract: How can we quantify the effects of policy in economies in which firms face adjustment frictions and the economic environment changes constantly? In such settings, changes in the economy may come from new policy changes or from adjustments to past changes. We show how to empirically disentangle both using a structural model of firm dynamics and standard firm-level panel data. We apply our approach to the Indonesian manufacturing Growth Miracle from 1975 to 2015, estimating the model on 40-years of micro data along the observed growth path without assuming that the economy is ever at a steady state. We find that growth from catching-up to previous changes in the economy is key and does not get less important over time, because adjustments are slow and economy-wide changes frequent. Wrongly assuming the economy is in steady state before major new policy changes -- as is common practice in the literature -- can lead to large errors.

A link to an old version of the paper is here:  

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