Carlos Velasco

Carlos Velasco is a Professor of Fundamentals of Economic Analysis at Universidad Carlos III de Madrid (UC3M) since 2007, with prior academic appointments at the University of Oxford and Universitat Autònoma de Barcelona.

He earned his PhD from the London School of Economics, establishing the foundation for his expertise in econometric theory. His academic career includes positions as Junior Lecturer in Statistics at Oxford, Full Professor in Statistics and Econometrics at UC3M, and ICREA Research Professor in Economics at UAB.

Professor Velasco's research program centers on dynamic econometric models and economic time series analysis, with significant applications in macroeconomics and finance. His methodological contributions span time series analysis, dynamic modeling, persistence phenomena, predictability frameworks, and causality testing, addressing both theoretical challenges and practical economic questions.

Analysis of his publication record reveals consistent innovation in econometric methodology, particularly in handling complex time series properties including noninvertibility, noncausality, and heteroskedasticity. His work demonstrates increasing sophistication in model estimation techniques while maintaining strong connections to substantive economic phenomena like exchange rate dynamics and panel data structures.

Professional recognition:

• Fellow of the Journal of Econometrics (2010)

Professor Velasco has supervised 8 doctoral theses and directed multiple research projects, including the MAD-ECO network. His editorial service for leading journals such as Econometric Theory and Journal of Econometrics reflects his standing in the field. He serves as Associate Editor for Econometric Theory, Journal of Time Series Analysis, Journal of Time Series Econometrics, TEST, and the Spanish Economic Review.

While specific laboratory facilities aren't detailed, his leadership of the MAD-ECO network indicates active participation in collaborative research frameworks focused on economic modeling, suggesting ongoing contributions to methodological advancements with practical economic applications.