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
Research Students
Events
Wednesday, March 02, 2022
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CAGE-AMES Workshop - Riccardo Di Leo (PGR)via Microsoft TeamsTitle: Berlinguer, I Love You (Still): The Downstream Effects of Expressive Voting, joint with Elias Dinas (EUI) Abstract: What is the effect of a vote cast on expressive grounds on subsequent political behaviour? Theories of voting distinguish between instrumental and expressive motives behind voting, but their long-term partisan implications remain largely ignored. We delve into this question by focusing on a rare instance of expressive voting: support for the Italian Communist Party (PCI) in the 1984 EP election, marked by the death of PCI’s charismatic leader, Enrico Berlinguer, only six days prior to the poll day. PCI became the most voted party, for the first time in its history. Are votes cast on expressive grounds more likely to remain within the party and its ideological domain? If so, did such effect persist after PCI dismissed its brand? Using the difference in the vote share for PCI between 1979 and 1984, we obtain a municipal measure of empathy-based support for the party. We find that the change in PCI votes predicts future vote for the left, even after PCI is dismantled in 1991. We also instrument vote for Berlinguer in 1984 through the district (Lazio, Marche, Tuscany and Umbria) in which he ran both in 79 and 84 (i.e., after his death). People in this area had an additional motivation to vote for PCI, i.e., to actually cast a ballot for the deceased leader. Using such distinction as an instrument for the “Berlinguer vote”, we find that expressive vote generates a long-term loyalty to the left. A closer look into the exact party trajectories reveals a larger effect for radical left-wing alternatives. Location: Teams (Please find the link below) |
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Teaching & Learning Seminar - Jon Guest, Matthew Olczak and Robert Riegler (Aston Business School)S2.79 via MS TeamsTitle: The Use of Robotic Players in Online Games Abstract: Short in-class games have become an increasingly common way to teach a range of key concepts and theories in economics. These allow students to gain first-hand experience of incentives and the impact on decision making. This makes it easier for tutors to convey underlying economic theory and the implications of the resulting predictions. However, moving to an online environment presents a number of challenges for using this method of interactive teaching. In particular, the widespread adoption of asynchronous activities provides students with greater flexibility over the timing of their studies but also means that students cannot play interactive games against one another. An alternative is to run games in which students play against robotic players that make decisions according to some pre-programmed rules. This greatly increase the possibility of using online games asynchronously. However, as it stands very little is known about how this affects student learning. The aim of this research was to investigate how student perceptions and behaviour change when robotic players are used. In a series of different treatments, we varied whether students knowingly or unknowingly played an online Prisoner’s Dilemma game against other students or robotic players. We then tested how this affected the students’ decisions in each round of the game and used pre and post questionnaires to measure their perceptions of the game. First, we find that perceptions of the game were similar across all treatments. Students typically found the game to be fun to play, helped them to understand economic theories and represented real-world situations. In addition, we asked the students about their perceptions of greed both before and immediately after playing the game. We find that a significant change occurred as a result of playing the game only for students that played against a robot and knew that they were doing so. These students became less averse to greed after the game. This suggests that the in-game experience and perceptions of this may influence student learning outcomes from playing in-class games. Then, to investigate further, we examined the in-game decision making for each of the treatments across each round of the game. We find that cooperation in a given round of the game was more likely for female students, those that had not studied economics before and students doing a pure economics degree. Furthermore, the likelihood of cooperation was unaffected if students played against a robot but didn’t know that this was the case. However, cooperation was significantly less likely when students knew that they were playing against a robot. We then show that this is in-part driven by students in this treatment being more willing to deviate in the next round having established cooperation with their robot opponent in the previous round. Overall, our findings indicate that knowingly playing in-class games against robotic players can influence in-game decision making and this in turn can influence learning outcomes from playing the game. This suggests care needs to be taken in using robotic players in online games. This is a hybrid seminar via MS Teams - Click here to join the meetingLink opens in a new window |
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Seminar in Economic Theory (SET) - Pietro Ortoleva (Princeton)Title: Caution and Reference Effects (with Simone Cerreia-Vioglio and David Dillenberger) |
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Applied Young Economist Webinar - Motohiro Kumagai (Brown)via ZoomTitle: Overkill, extinction and the Neolithic Revolution Via Zoom Link: https://monash.zoom.us/j/82838864348?pwd=OFN0RzVrK3RJRjFrdDhSbXd1ZDIzQT09 |