Rosa Matzkin

Rosa Matzkin

Charles E. Davidson Professor of Economics

Rosa Matzkin


Ph.D. University of Minnesota

Research Areas:



(310) 825-7371


Bunche Hall 8349


Personal Website:


Rosa Liliana Matzkin is the Charles E. Davidson Professor of Economics.  Her research has been aimed at creating a tight connection between econometrics and economic theory, avoiding specifications and transformations not implied by economic models.  She has developed (i) methods to test the consistency of data with economic models, (ii) methods to identify and estimate nonparametric functions using shape restrictions implied by economic theory, (iii) nonparametric methods that allow unobservable variables to enter in nonadditive ways within models, and (iv) methods to identify and estimate nonparametric and nonseparable systems of equations. Among others, she has worked on models of consumer demand, discrete choice, and equilibrium.

Professor Matzkin is a member of the American Academy of Arts and Sciences and a Fellow of the Econometric Society, the International Association of Applied Econometrics, the Journal of Econometrics, and the Society of Economic Measurement.

She is currently Second Vice-President of the Econometric Society.  In the past, she served as a member of the Executive Committees of the Econometric Society and of the American Economic Association.

Professor Matzkin is co-editing the Handbooks in Economics series (Elsevier) and Vol. 7 of Handbook of Econometrics (Elsevier), and is a member of the Editorial Committee of Annual Review of Economics.  She previously served as the chief Editor of Quantitative Economics, as Co-editor of the Research Monograph Series of the Econometric Society, and as Associate Editor of Econometrica and Journal of Econometrics.

Before joining UCLA, Professor Matzkin held faculty positions at Yale University and Northwestern University and several visiting positions including at the University of Chicago, MIT, and Caltech.

Selected Books and Publications

Research Interests

  • Econometrics, Corporate Finance, Mathematical Finance