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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:


Dita Eckardt

Co-ordinator

Amrita Kulka

Deputy Co-ordinator


Events

Tuesday, October 08, 2024

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CWIP (CAGE Work in Progress) Workshop - Thiemo Fetzer
S2.79

Title: Causal Claims (joint work with Prashant Garg (Imperial)).

Abstract: Economic research has experienced a profound shift towards establishing causal relationships using an ever expanding suite of empirical methods. Despite this "credibility revolution," there is limited comprehensive analysis of how these methods and causal claims have evolved across economics subfields. This paper addresses this gap by analyzing over 44,000 NBER and CEPR working papers using a custom large language model to extract structured information on authorship, empirical methods, underlying data and associated causal claims. We use this data to document the empiricisation of economics research with a significant growth in the use of methods like Difference-in-Differences, Instrumental Variables, and Randomized Controlled Trials, alongside an increase in the number of causal claims that are made and evidenced. Yet, nearly 30% of causal claims remain unsupported by rigorous identification strategies. We also observe rising narrative complexity and increased use of private data, raising concerns about transparency, replicability and property rights attached to knowledge goods that are produced using private data. Our findings highlight the evolving landscape of empirical economics, emphasizing the need for continued focus on methodological rigor and data accessibility. This study contributes to a better understanding of research practices in economics and informs efforts to enhance the credibility and transparency of the discipline.

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Applied Economics, Econometrics & Public Policy (CAGE) Seminar - Max Posch (Exeter)
S2.79

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