Title: Caution and Reference Effects (with Simone Cerreia-Vioglio and David Dillenberger)

Title: Overkill, extinction and the Neolithic Revolution

Via Zoom Link: https://monash.zoom.us/j/82838864348?pwd=OFN0RzVrK3RJRjFrdDhSbXd1ZDIzQT09

Title:

Title: New Developments in Causal Inference with Panel Data.

This is part of 2^nd year MRes module and could be of interest to the research group as Yiqing's presentation is partly based on his new research.

The meeting is via zoom  https://turing-uk.zoom.us/j/94621198343?pwd=L3djU01uSW8xVnFsZml1VitXS0tmUT09Link opens in a new window

If you would like to meet with Yiqing, please let Mingli know.

Title: Beggar-thy-neighbor environmental policy? Evidence from California’s Truck and Bus Regulation 

Joint with Fiona Burlig, Michael Greenstone, Olga Rostapshova

Abstract: Incomplete environmental regulation can threaten or even reverse regulatory benefits through two channels. First, regulated actors, facing new costs, may attempt to evade the regulation entirely. Second, regulations can cause emissions “leakage:” an increase in emissions in a foreign jurisdiction in response to a new domestic regulation. We study these channels in the context of the California Truck and Bus Regulation (TBR). Transportation is a major contributor to particulate matter pollution, the greatest threat to human health globally. The goal of the TBR is to reduce emissions by requiring that trucks driving in California have relatively new, and thus clean, engines. The stringency of the regulation has increased over time. We leverage TBR’s phased-in rollout and extensive registration data in a difference-in-differences analysis to study the effects of TBR on leakage. Preliminary results suggest that TBR had a substantial impact on vehicle de-registration, especially for older trucks. To assess the extent of evasion, we use twenty-seven million records of random inspections from the Federal Motor Carrier Safety Administration to identify trucks who still drive in the state despite de-registering.

Search Costs, Intermediation, and Trade: Experimental Evidence from Ugandan Agricultural Markets

with Lauren Bergquist and Meredith Startz.

Abstract:

Search costs may be a barrier to market integration in developing countries, harming both producers and consumers. We present evidence from the large-scale experimental rollout of a mobile phone-based marketplace intended to reduce search costs for agricultural commodities in Uganda. We find that market integration improves substantially: trade increases and excess price dispersion falls by 20% between treated markets. This reflects price convergence across relative surplus and deficit markets, with no change on average. Interpreting the experimental variation through the lens of a model with fixed costs of search, we estimate that the marketplace caused a 5% reduction in total trade costs between treated markets. Contrary to the stated goals of the marketplace, but consistent with the existence of economies of scale in search or other trade costs, almost all activity on the platform is among larger traders, with very little use by smallholder farmers. Nevertheless, the benefits of improved arbitrage by traders appears to pass through to farmers in the form of higher revenues in surplus markets, as trader entry increases and measured trader profits decrease in response to falling search costs.

Title to be advised.

Title Efficient Risk Sharing and Separation join with Arpad Abraham

Speaker: Darshak Patel (University of Kentucky)

Chair: Parama Chaudhury (UCL)

This is a hybrid event:
Venue: UCL, Room 780, Bedford Way, UCL Institute of Education (London)
To attend online on Zoom register here
The event will be live-streamed on YouTube.

Organiser: Stefania Paredes Fuentes

Title: Women and Asylums

Organisers: Bishnupriya Gupta and Claudia Rei

Title: Indirect Effects of Access to Finance, joint with Jing Cai

This seminar is joint with Bristol University and will be hosting today's event.

Title: Investments, Connections, and Innovation: Evidence from Chinese Artificial Intelligence Startups

Author: Jian Xie and Kang Zhou

Abstract: Large technology firms have advantages in new technologies such as Artificial Intelligence, due in part to data and network effects. For Artificial Intelligence (AI) startups, investments by these large technology firms could be more effective at increasing innovation than investments by firms without the same data and network advantages. We use a staggered difference-in-difference approach to show that Chinese AI startups innovate more after they receive direct investments from large technology firms. These startups increase their AI technology output, as measured by both AI-related patent applications and registered software. Using a triple-difference approach, we show that the impacts of investments from large technology firms are more pronounced than those from venture capital firms and other investors. We confirm these findings using an instrumental variables approach based on previous investments by large technology firms in peer startups. Our evidence suggests that investments by data-rich technology firms shape AI innovation by startups and contribute to the rise of AI industry.

This workshop is via MS Teams, click here to join the meeting.

Title: Pedagogy and challenges for online teaching

Abstract:

The pandemic has caused an accelerated change in higher education in the UK and across the world, with online learning becoming an attractive proposition for many. But while there are a number of institutions with decades of experience in distance learning, for the majority of ‘traditional’ face-to-face universities the intake of distance learning has been rushed, to transform their offering into a blended format. However, it is not the same to teach a student who opted voluntarily to study through distance learning courses, that to teach someone who, as a member of a face-to-face institution, expects different kinds of interaction with peers and staff, access to resources, and immerse themselves in full university life. This presentation will provide some insights on my experience as both student and teacher on distance learning settings, and as digital capabilities expert, highlighting the different approaches required to keep student engagement and successful outcomes, including examples of innovative approaches to teaching and assessment.

This seminar is in-person and via MS Teams Click here to join the meetingLink opens in a new window

Title to be advised.

Title: The impact of climate transition risks on financial stability: A systemic risk approach

Zoom Link: https://monash.zoom.us/j/86161096916?pwd=eUtLZEl3dUJIakR0WGNyUVNkVVlSUT09

Title of paper: Policies for Early Childhood Skills Formation: Accounting for Parental Choices and Noncognitive Skills

Title to be advised.

Title to be advised.

Title - "Female Labor Force Participation and Intergenerational Mobility"

This paper is joint work with Jorgen Modalsli, Claudia Olivetti, and Daniele Paserman.

This seminar is online.

Andrew will be presenting Difference-in-Differences with a Continuous Treatment (with Brantly Callaway and Pedro Sant'Anna) .

If you would like to meet with him, please sign up here https://docs.google.com/spreadsheets/d/19yAXbaJWko_UNrgwuktv3INE3rSueMLWviHEcgHYicM/edit?usp=drivesdk

This seminar is joint with Bristol University and Warwick will be hosting today's event.

Title: Targeting Precision Medicine: Evidence from Prenatal Screening , joint with Peter Conner, Liran Einav, Amy Finkelstein, and Heidi Williams.

Seminar organisers: Manuel Bagues & Ludovica Gazze

Francesco Capozza (Erasmus) - "Mental health literacy, beliefs and demand for mental health support among university students" (joint with Michelle Acampora, Vahid Moghani)

Zoom Link: https://monash.zoom.us/j/82044505346?pwd=SER4emJlYVk5Tmx1Mkd4elpjdDlLUT09

Panel:

Eileen Tipoe (QMUL, The CORE Project)
Pedro Rey Biel (ESADE)
James Tierney (Tierney Education)

Chair: Cloda Jenkins (Imperial College London)

This is an online event. Register here to attend live on Zoom.
The event will be live-streamed on YouTube.

Organiser: Stefania Paredes Fuentes

Simulation-based estimation with many auxiliary statistics applied to long-run dynamic analysis
by Bertille Antoine and Wenqian Sun (Simon Fraser Univ.)

Abstract:

The existing asymptotic theory for estimators obtained by simulated minimum distance does not cover situations in which the number of components of the auxiliary statistics (or number of matched moments) is large - typically larger than the sample size. We establish the consistency of the simulated minimum distance estimator in this situation and derive its asymptotic distribution. Our estimator is easy to implement and allows us to exploit all the informational content of a large number of auxiliary statistics without having to, (i) know these functions explicitly, or (ii) choose a priori which functions are the most informative. This allows us to exploit, among other things, long-run information. We illustrate the implementation of the proposed method through Monte-Carlo simulation experiments based on small- and medium-scale New Keynesian models. These examples illustrate how to exploit information from matching a large number of impulse responses including at long-run horizons.

(Time to be confirmed)