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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

Jennifer Smith

Deputy Co-ordinator


Events

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Applied Economics, Econometrics & Public Policy (CAGE) Seminar - Anne Brockmeyer (Institute for Fiscal Studies)

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Location: S2.79

Title: Tax Audits Under Weak Fiscal Capacity: Experimental Evidence from Senegal, joint work with Pierre Bachas, Alipio Ferreira, and Bassirou Sarr.

Abstract: Developing economies are characterized by limited compliance with government regulations, such as taxation. Resources for enforcement are scarce and audit cases are often selected in a discretionary manner. We study whether the increasing availability of digitized data helps improve audit targeting. In a field experiment at scale in Senegal, we compare tax audits selected by inspectors to audits selected by a risk-scoring algorithm. We find that inspector-selected audits are more likely to be conducted and uncover similar amounts of evasion as algorithm-selected audits. However, algorithm-selected audits require less manpower, are faster and may generate less corruption. In ongoing work, we attempt to unpack the algorithm’s (dis)functioning and its interaction with human capital.

Seminar organisers: Manuel Bagues & Ludovica Gazze

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