Adam Smith Business School

Dr Santiago Montoya-Blandon

  • Lecturer in Econometrics (Economics)

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

Room 620, Adam Smith Business School Building, 2 Discovery Place, Glasgow, United Kingdom, G11 6EY

Import to contacts

ORCID iDhttps://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: 2026 | 2023 | 2020 | 2019
Number of items: 5.

2026

Heydari, M. Sadra, Kanik, Zafer ORCID logoORCID: https://orcid.org/0000-0002-1713-2400 and Montoya-Blandon, Santiago ORCID logoORCID: https://orcid.org/0000-0003-2229-2254 (2026) The R&D productivity puzzle: innovation networks with heterogeneous firms. arXiv, 1 Feb. (doi: 10.48550/arXiv.2512.23337)

2023

Korobilis, Dimitris ORCID logoORCID: https://orcid.org/0000-0001-9146-3008 and Montoya-Blandón, Santiago ORCID logoORCID: https://orcid.org/0000-0003-2229-2254 (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, Andrés and Montoya-Blandón, Santiago ORCID logoORCID: https://orcid.org/0000-0003-2229-2254 (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, Santiago ORCID logoORCID: https://orcid.org/0000-0003-2229-2254 and Jacho-Chávez, David 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, Andrés and Montoya Blandón, Santiago ORCID logoORCID: https://orcid.org/0000-0003-2229-2254 (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 Tue Sep 1 11:32:21 2026 BST.
Jump to: Articles
Number of items: 5.

Articles

Heydari, M. Sadra, Kanik, Zafer ORCID logoORCID: https://orcid.org/0000-0002-1713-2400 and Montoya-Blandon, Santiago ORCID logoORCID: https://orcid.org/0000-0003-2229-2254 (2026) The R&D productivity puzzle: innovation networks with heterogeneous firms. arXiv, 1 Feb. (doi: 10.48550/arXiv.2512.23337)

Korobilis, Dimitris ORCID logoORCID: https://orcid.org/0000-0001-9146-3008 and Montoya-Blandón, Santiago ORCID logoORCID: https://orcid.org/0000-0003-2229-2254 (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, Andrés and Montoya-Blandón, Santiago ORCID logoORCID: https://orcid.org/0000-0003-2229-2254 (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, Santiago ORCID logoORCID: https://orcid.org/0000-0003-2229-2254 and Jacho-Chávez, David 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, Andrés and Montoya Blandón, Santiago ORCID logoORCID: https://orcid.org/0000-0003-2229-2254 (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 Tue Sep 1 11:32:21 2026 BST.

Supervision

Teaching

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

Additional information

Personal website: Santiago Montoya-Blandón


Dr Santiago Montoya-Blandon on Twitter