Dr Santiago Montoya-Blandon

Lecturer in Econometrics (Economics)

email: Santiago.Montoya-Blandon@glasgow.ac.uk

University Avenue, Glasgow, Glasgow City, Scotland, United Kingdom, G12 8QQ

Import to contacts

https://orcid.org/0000-0003-2229-2254

Biography

Santiago is a Lecturer in Econometrics for the Adam Smith Business School at the University of Glasgow. He completed his undergraduate and master's studies at Universidad EAFIT in Colombia before moving to Atlanta to complete his PhD at Emory University. His research work covers theoretical and applied econometrics, with a focus on Bayesian analysis, and attempts to present rigorous solutions to problems that arise in applied microeconomic settings. Currently, he is also interested in the econometric challenges inherent to network data. Along his research interests, Santiago has taught several courses in Econometrics and Bayesian methods at an undergraduate and graduate level.

Research interests

Santiago is a member of the Applied Economics research cluster.

Areas of expertise:

Theoretical econometrics
Bayesian econometrics
Applied microeconomics
Econometrics of networks

Publications

List by: Type | Date

Jump to: 2023 | 2020 | 2019

Number of items: 4.

2023

Korobilis, D. and Montoya-Blandón, S. (2023) Discussion of “multivariate dynamic modeling for Bayesian forecasting of business revenue”. Applied Stochastic Models in Business and Industry, 39(3), pp. 315-317. (doi: 10.1002/asmb.2753)

2020

Ramírez-Hassan, A. and Montoya-Blandón, S. (2020) Forecasting from others’ experience: Bayesian estimation of the generalized Bass model. International Journal of Forecasting, 36(2), pp. 442-465. (doi: 10.1016/j.ijforecast.2019.05.016)

Montoya-Blandón, S. and Jacho-Chávez, D. T. (2020) Semiparametric quasi maximum likelihood estimation of the fractional response model. Economics Letters, 186, 108769. (doi: 10.1016/j.econlet.2019.108769)

2019

Ramírez Hassan, A. and Montoya Blandón, S. (2019) Welfare gains of the poor: an endogenous Bayesian approach with spatial random effects. Econometric Reviews, 38(3), pp. 301-318. (doi: 10.1080/07474938.2016.1261062)

This list was generated on Thu Apr 25 02:58:17 2024 BST.

Jump to: Articles

Number of items: 4.

Articles

Korobilis, D. and Montoya-Blandón, S. (2023) Discussion of “multivariate dynamic modeling for Bayesian forecasting of business revenue”. Applied Stochastic Models in Business and Industry, 39(3), pp. 315-317. (doi: 10.1002/asmb.2753)

Ramírez-Hassan, A. and Montoya-Blandón, S. (2020) Forecasting from others’ experience: Bayesian estimation of the generalized Bass model. International Journal of Forecasting, 36(2), pp. 442-465. (doi: 10.1016/j.ijforecast.2019.05.016)

Montoya-Blandón, S. and Jacho-Chávez, D. T. (2020) Semiparametric quasi maximum likelihood estimation of the fractional response model. Economics Letters, 186, 108769. (doi: 10.1016/j.econlet.2019.108769)

Ramírez Hassan, A. and Montoya Blandón, S. (2019) Welfare gains of the poor: an endogenous Bayesian approach with spatial random effects. Econometric Reviews, 38(3), pp. 301-318. (doi: 10.1080/07474938.2016.1261062)

This list was generated on Thu Apr 25 02:58:17 2024 BST.

Teaching

ECON5120 – Bayesian Data Analysis
ECON5004P/ECON5102P – Economics PGT Research Methods and Dissertation Training

Additional information

Personal website: Santiago Montoya-Blandón