Research Interests
Microeconometrics
Recent Publications
Published Papers
Iyer, S. and Weeks, M. Social Interactions, Ethnicity, Religion and Fertility in Kenya, Journal of Demographic Economics (2020)Rocha, M., Baddeley, M., Pollitt, M. and Weeks, M. Addressing self-disconnection among prepayment energy consumers: A behavioural approach, Energy Economics vol 81 (2019) pp. 273-286
Doppelhofer, G. and Weeks, M. Jointness of growth determinants, Journal of Applied Econometrics. reply to comments by Rodney Strachan, Eduardo Ley and Mark F.J. Steel vol 24(2) (2009) pp. 252-256
Doppelhofer, G. and Weeks, M. Jointness of growth determinants, Journal of Applied Econometrics vol 24(2) (2009) pp. 209-244
Cambridge Working Papers in Economics
Christiansen, T. and Weeks, M. Distributional Aspects of Microcredit Expansions, (2020) CWPE20100Wu, R. and Weeks, M. A Semi-Parametric Bayesian Generalized Least Square Estimator, (2020) CWPE2011
O'Neill, E., Weeks, M. Causal Tree Estimation of Heterogeneous Household Response to Time-Of-Use Electricity Pricing Schemes, (2018) CWPE1865
Corrado, L., Stengos, T., Weeks, M., Ege Yazgan, M. Robust Tests for Convergence Clubs, (2018) CWPE1873
Doppelhofer, G., Moe Hansen, O-P. and and Weeks, M. Determinants of long-term economic growth redux: A Measurement Error Model Averaging (MEMA) approach, (2017) CWPE1702
Recent Activities
The Economics of Distributed Ledger Technology - Publication Date: 2019-12-19
Faculty of Economics, Cambridge-INET and Fetch.ai are hosting a one day virtual conference on The Economics of Distributed Ledger Technology, on the 28th March 2020. The conference will provide a forum for academics and industry to share perspectives on distributed ledger technology.
Teaching
PI Paper 3 - Introduction to Statistical Inference
PIIB Paper 10 - Lent - Microeconometrics
MPhil R301b Advanced Econometrics II: Cross-Section & Panel Data
PhD Students
Supervisor

Christian Tien
PhD Title:
Research: Causal inference, Microeconometrics, Machine Learning, Factor Models
PhD Title:
Research: Causal inference, Microeconometrics, Machine Learning, Factor Models

Advisor
