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SAGE 3204
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riverj11@rpi.edu
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0000-0002-8383-3731
About
Dr. Rivero is broadly interested in applied econometrics, statistics and data science. His current projects are towards flexibly controlling for unobserved heterogeneity (latent variables) using panel data, developing models of continuous and discrete latent variables that drive heterogeneous effects on outcomes of interest with minimal restrictions on their relationship with observable variables. He is also an affiliate faculty in the Center for Research toward Advancing Financial Technologies (CRAFT).
His work frequently utilizes semi parametric and non parametric statistical techniques as well unsupervised learning tools including cluster analysis and principal components. He has coauthored work that has been published in the Review of Economics and Statistics on novel methodology applying optimal transport theory to jointly measure economic inequality along several indicators.
Please feel free to reach out if you have interest in these topics.
P.h.D., Economics, University of Washington, Seattle
M.S., Mathematical Sciences, Florida International University
B.A., Economics, Florida International University
Research
Teaching
ECON 4570 Econometrics
Available in both Fall and Spring for undergraduates. Econometrics is the set of statistical and mathematical tools to analyze data and validate economic theories. This course equips students with a tool kit that uses data to both predict (forecast) outcomes and establish important relationships that drive strategic decision making by organizations. In this regard, students across all disciplines may benefit from this course. Questions such "How does this change in design impact the user experience?" or "What is the productivity impact of training employees on effective artificial intelligence use?" are within scope.
If you would like to know more about this course, including information about prerequisites, feel free to email me.
ECON 2010 Intermediate Microeconomics
Available in both Fall and Spring for undergraduates. Intermediate Microeconomics is a course that is designed to broaden skills in economic reasoning and analysis. This course provides the tools to analyze consumer behavior, firm strategy and their interaction in markets. Students who complete this course will have mastered topics that complement their existing expertise, positioning them for success in our increasingly fast-paced and data driven world where an understanding in economics is indispensable.
This course also prepares students for popular coursework in ECON such as ECON 4220 Applied Game Theory, ECON 4270 Behavioral Economics, ECON 4170 Health Economics & Policy, ECON 4960 Energy Economics & Policy, ECON 4290 Economics of Biotechnology and ECON 4230 Environmental Economics.
ECON 6730 Econometrics 1
Currently taught every Fall, this course trains PhD/masters students in advanced statistical inference. This course begins with the theory of random variables as data-generating processes essential for modern machine learning and causal inference. The remainder focuses on data: modeling, understanding the role of sampling, applying a law of large numbers or central limit theorem, and choosing and implementing an estimator, e.g., maximum likelihood, least squares, etc. The high-level goal is to equip students with the knowledge necessary to effectively conduct and evaluate empirical research.
Ideal Student: Must have knowledge in Differential and Integral Calculus; experience in any programming language or statistical software is recommended. An ideal student is interested in an area that utilizes probability and statistics extensively (e.g., econ, engineering, management, finance, and data science).
If you'd like to learn more, feel free to reach out via email.
If enrolled in one of my courses, see the LMS for office hours.
ECON 4570 Econometrics (Fall and Spring), ECON 2010 Intermediate Microeconomic Theory (Fall and Spring), ECON 6730 Econometrics 1 (Fall)
Publications
The following is a selection of recent publications in Scopus. Jorge Rivero has 2 indexed publications in the subjects of Mathematics, Mathematics, Mathematics.