Empirical Methods for Demand and Auction Estimation

PhD Training Module | University of Essex and Online | 28-29 February and 06 March 2024

Instructors: Dr. Farasat Bokhari (UEA) and Prof. Dakshina De Silva (Lancaster)

16 hour PhD and advanced student training module offered in hybrid mode at the University of Essex.

This course is designed to help advanced (second year or above) Economics Ph.D. students gain hands-on skills when conducting research using empirical methods in Industrial Organization. The course consists of two modules on demand estimation and auctions. In the former, we will consider both, product space and characteristics space approaches to demand estimation, and models covered will be AIDS models, logit estimation, overview of the BLP method, and estimation of nested and random coefficients logit models. In the latter, we will discuss the main results in auctions and selected applications to policy. Then, we will discuss some early structural work and lead into Guerre, Perrigne, and Vuong's (2000) paper and estimation. Given that the GPV is the basis for many ongoing works on auctions, the section will introduce a few examples/extensions to GPV with entry. Every effort will be made to ensure that the material is ready to apply. As such, instruction will consist of lectures, examples of codes, combined with opportunities for individual feedback and support on projects that apply the techniques. A master’s level knowledge of econometrics will be assumed, but no specific training in either auction or demand estimation methodology.

You will receive a certification of completion upon attending the full module.

Dates:

• February 28 - 9:30AM – 4:30PM (6 hours instruction)
• February 29 - 9:30AM – 4:30PM (6 hours instruction)
• March 6 - 11AM – 4PM (4 hours instruction)

Inclusive of morning and afternoon coffee breaks and lunch for those who attend in person.

Free of charge to SeNSS students. All others - £85, which may be waived upon request. Limit of 30 students, with priority given to SeNSS students and those attending from SeNSS institutions.

For more information contact: Katharine Rockett at kerock@essex.ac.uk