Mercedes Esteban-Bravo

Universidad Carlos III de Madrid

E-28903 Getafe (Madrid)

Spain

  • Universidad Carlos III de Madrid

SCHOLARLY PAPERS

3

DOWNLOADS

296

SSRN CITATIONS

1

CROSSREF CITATIONS

0

Scholarly Papers (3)

Actions:
Email selected abstracts
1.

Platforms: A Multiplicity of Research Opportunities

Ross School of Business Paper No. 1271, Columbia Business School Research Paper No. 15-33, Simon Business School Working Paper No. FR 15-15
Number of pages: 21 Posted: 24 Mar 2015 Last Revised: 02 Aug 2015
S. Sriram, Puneet Manchanda, Mercedes Esteban-Bravo, Junhong Chu, Liye Ma, Minjae Song, Scott Shriver and Upender Subramanian
The Stephen M. Ross School of Business at the University of Michigan, University of Michigan, Stephen M. Ross School of Business, Universidad Carlos III de Madrid, NUS Business School, Carnegie Mellon University - David A. Tepper School of Business, The Brattle Group, University of Colorado at Boulder - Department of Marketing and University of Texas at Dallas - Naveen Jindal School of Management
Downloads 169 (242,204)
Citation 1

Abstract:

Loading...

Platforms, Two-sided Markets, Internet Commerce, Simultaneity

2.

A Decomposition Method to Deflate the Curse of Dimensionality for Dynamic Stochastic Models

Computers and Operations Research, 2007
Number of pages: 15 Posted: 27 Mar 2007
Mercedes Esteban-Bravo and Francisco J. Nogales
Universidad Carlos III de Madrid and Universidad Carlos III de Madrid - Department of Statistics
Downloads 100 (358,968)

Abstract:

Loading...

Economic dynamic stochastic model, computation of equilibrium, decomposition methods

3.

Predicting the Virality of Fake News in the Initial Stage of Dissemination

Number of pages: 42 Posted: 24 Mar 2022
Mercedes Esteban-Bravo, Lisbeth de las Mercedes Jimenez-Rubido and Jose M. Vidal-Sanz
Universidad Carlos III de Madrid, affiliation not provided to SSRN and Dept. of Business Administration, Universidad Carlos III de Madrid
Downloads 27 (642,832)

Abstract:

Loading...

Fake News, Diffusion of disinformation, Machine learning