Liana Jacobi

I am Professor of Econometrics at the Department of Economics at The University of Melbourne.  My CV can be found here.

My main research area is computational inference with a focus on Bayesian methods and their applications in Economics, in particular for problems Empirical IO, Health and Labour Economics, and more recently also VAR analysis in macroeconomics. I am particularly interested in problems of policy relevance, including marijuana legalization and maternity leave effects, that often require causal inference in the context of endogeneity, panel or choice settings. Another theme that runs through my research is prior sensitivity of Bayesian inference in empirical work.

From 2018-2022 I held a Future Fellowship of the Australian Research Council.  I am the cofounder and co-chair of the Bayesian Analysis and Modeling Research Group (BAM) at the University of Melbourne. BAM, founded in 2014, that organizes yearly Econometrics workshops.

My recent and current research includes project on

• Bayesian choice modelling and treatment effects analysis under endogegneity

• illicit and licit multi-substance drug use and policy effects in drug markets (legalization, taxation)

• Bayesian Meta Analysis

• labour market consequences of employment breaks after childbirth for mothers

• food taxes

• prior sensitivity analysis for Bayesian MCMC output

• Bayesian factor analysis