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Santiago Montoya-Blandón
(Santiago Montoya-Blandon)

Personal Details

First Name:Santiago
Middle Name:
Last Name:Montoya-Blandon
Suffix:
RePEc Short-ID:pmo1156
[This author has chosen not to make the email address public]
https://www.smontoyablandon.com/
Terminal Degree:2021 Department of Economics; Emory University (from RePEc Genealogy)

Affiliation

Adam Smith Business School
University of Glasgow

Glasgow, United Kingdom
http://www.gla.ac.uk/schools/business/
RePEc:edi:bsglauk (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Andr´es Ramírez Hassan & Santiago Montoya Blandón, 2015. "Welfare gains of the poor: An endogenous Bayesian approach with spatial random effects," Documentos de Trabajo de Valor Público 13678, Universidad EAFIT.

Articles

  1. Montoya-Blandón, Santiago & Jacho-Chávez, David T., 2020. "Semiparametric quasi maximum likelihood estimation of the fractional response model," Economics Letters, Elsevier, vol. 186(C).
  2. Ramírez-Hassan, Andrés & Montoya-Blandón, Santiago, 2020. "Forecasting from others’ experience: Bayesian estimation of the generalized Bass model," International Journal of Forecasting, Elsevier, vol. 36(2), pages 442-465.
  3. Andrés Ramírez Hassan & Santiago Montoya Blandón, 2019. "Welfare gains of the poor: An endogenous Bayesian approach with spatial random effects," Econometric Reviews, Taylor & Francis Journals, vol. 38(3), pages 301-318, March.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Andr´es Ramírez Hassan & Santiago Montoya Blandón, 2015. "Welfare gains of the poor: An endogenous Bayesian approach with spatial random effects," Documentos de Trabajo de Valor Público 13678, Universidad EAFIT.

    Cited by:

    1. Andrés Ramírez–Hassan & Rosember Guerra–Urzola, 2021. "Bayesian treatment effects due to a subsidized health program: the case of preventive health care utilization in Medellín (Colombia)," Empirical Economics, Springer, vol. 60(3), pages 1477-1506, March.
    2. Ramírez–Hassan, Andrés & López-Vera, Alejandro, 2024. "Welfare implications of a tax on electricity: A semi-parametric specification of the incomplete EASI demand system," Energy Economics, Elsevier, vol. 131(C).
    3. Andr'es Ram'irez-Hassan & Alejandro L'opez-Vera, 2021. "Semi-parametric estimation of the EASI model: Welfare implications of taxes identifying clusters due to unobserved preference heterogeneity," Papers 2109.07646, arXiv.org.

Articles

  1. Ramírez-Hassan, Andrés & Montoya-Blandón, Santiago, 2020. "Forecasting from others’ experience: Bayesian estimation of the generalized Bass model," International Journal of Forecasting, Elsevier, vol. 36(2), pages 442-465.

    Cited by:

    1. Zhang, Tianyu & Dong, Peiwu & Zeng, Yongchao & Ju, Yanbing, 2022. "Analyzing the diffusion of competitive smart wearable devices: An agent-based multi-dimensional relative agreement model," Journal of Business Research, Elsevier, vol. 139(C), pages 90-105.
    2. Daekook Kang, 2021. "Box-office forecasting in Korea using search trend data: a modified generalized Bass diffusion model," Electronic Commerce Research, Springer, vol. 21(1), pages 41-72, March.
    3. Krishnan, Trichy V. & Feng, Shanfei & Jain, Dipak C., 2023. "Peak sales time prediction in new product sales: Can a product manager rely on it?," Journal of Business Research, Elsevier, vol. 165(C).
    4. Han, Zhongya & Tang, Zhongjun & He, Bo, 2022. "Improved Bass model for predicting the popularity of product information posted on microblogs," Technological Forecasting and Social Change, Elsevier, vol. 176(C).

  2. Andrés Ramírez Hassan & Santiago Montoya Blandón, 2019. "Welfare gains of the poor: An endogenous Bayesian approach with spatial random effects," Econometric Reviews, Taylor & Francis Journals, vol. 38(3), pages 301-318, March.
    See citations under working paper version above.

More information

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Co-authorship network on CollEc

Corrections

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