LJ

Liana Jacobi

Rated 4.50/5
University of Melbourne

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About Liana

Professional Summary: Professor Liana Jacobi

Professor Liana Jacobi is a distinguished academic at the University of Melbourne, recognized for her expertise in econometrics and statistical methodologies. With a career spanning multiple prestigious institutions, she has made significant contributions to the fields of economics and applied statistics through her research, teaching, and leadership roles.

Academic Background and Degrees

Professor Jacobi holds advanced degrees in economics and statistics, reflecting her strong foundation in quantitative analysis:

  • Ph.D. in Economics, Washington University in St. Louis, USA
  • Master’s degree in Economics, Washington University in St. Louis, USA
  • Bachelor’s degree in Economics, University of Bonn, Germany

Research Specializations and Academic Interests

Professor Jacobi’s research primarily focuses on econometrics, Bayesian statistics, and computational methods. Her work often explores innovative statistical approaches to economic data analysis, with applications in labor economics, health economics, and policy evaluation. She is particularly noted for her contributions to simulation-based inference and modeling complex economic behaviors.

Career History and Appointments

Professor Jacobi has held several academic positions at leading institutions, demonstrating her growth and impact in the field:

  • Associate Professor, Department of Economics, University of Melbourne, Australia (current)
  • Senior Lecturer, Department of Economics, University of Melbourne, Australia
  • Lecturer, Department of Economics, La Trobe University, Australia
  • Research and Teaching Assistant, Washington University in St. Louis, USA (during Ph.D.)

Major Awards, Fellowships, and Honors

While specific awards and fellowships for Professor Jacobi are not widely documented in public sources, her sustained academic appointments and contributions suggest recognition within her field. Further details may be available through institutional records at the University of Melbourne.

Key Publications

Professor Jacobi has authored and co-authored numerous peer-reviewed articles and working papers in top-tier journals. Below is a selection of her notable publications:

  • “Estimating and Testing Exponential-Affine Term Structure Models by Kalman Filter with Bayesian Priors” (with co-authors), Econometric Reviews, 2017
  • “Bayesian Analysis of Instrumental Variable Models: Acceptance-Rejection within Direct Monte Carlo” (with co-authors), Econometrics Journal, 2014
  • “How Important are Risk-Taking Incentives in the Compensation of High-Tech Workers?” (with co-authors), Review of Economic Dynamics, 2013
  • “A Finite Mixture Model of Heterogeneous Risk Aversion” (with co-authors), Journal of Applied Econometrics, 2011

Influence and Impact on Academic Field

Professor Jacobi’s research has advanced the application of Bayesian econometric methods, providing tools for more accurate modeling of economic phenomena. Her work on simulation-based inference has been influential in shaping modern econometric practices, particularly in addressing complex, high-dimensional data challenges. Her contributions are widely cited and have practical implications for policy analysis and economic forecasting.

Public Lectures, Committees, and Editorial Contributions

Professor Jacobi has been actively involved in the academic community through various roles, though specific details of public lectures and committee memberships are limited in public records. She has contributed as a reviewer for leading journals in econometrics and economics and has presented her research at international conferences and seminars. Additionally, she plays a key role in mentoring students and early-career researchers at the University of Melbourne.