معرفی
Jorge Rivero is an Assistant Professor in the Department of Economics at Rensselaer Polytechnic Institute (RPI), affiliated with the School of Architecture, Geosciences, and Engineering (SAGE). His research lies at the intersection of econometrics, statistics, and machine learning, focusing on causal inference under unobserved heterogeneity and multidimensional inequality measurement.
His research interests include:
- Applied Econometrics and Causal Inference
- Panel and Longitudinal Data Analysis
- Optimal Transport Theory for Economic Distributions
- Unsupervised and Reinforcement Learning in Economics
- Multidimensional Inequality Measurement
His recent publications demonstrate a strong mathematical foundation, applying greedy approximation techniques to econometric and signal processing problems. These works explore waveform dictionaries for function approximation, with potential applications in economic modeling and data analysis.
He teaches both undergraduate and graduate courses, including ECON 2010 Intermediate Microeconomic Theory and ECON 6730 Econometrics 1 for PhD students. His educational background includes a Ph.D. in Economics from the University of Washington, Seattle, an M.S. in Mathematical Sciences, and a B.A. in Economics from Florida International University.
There are no scientific awards listed in the provided text.
Dr. Rivero advises no students mentioned in the text and there is no information about grants, research labs, or collaborative teams. He can be contacted via email at riverj11@rpi.edu and maintains a professional website at https://www.jarivero.com/.
