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Montserrat Guillen

Universitat de Barcelona


Montserrat Guillen

Chair professor of Quantitative Methods at the University of Barcelona (UB) and honorary visting professot at the Bayes Business School, City, University of London. Director of the RISKcenter at the UB. She holds a PhD in Economics, MSc in Mathematical Statistics and MA in Data Analysis. Montserrat Guillen is a top-cited author in Actuarial Science and Insurance. Chief-editor of the North American Actuarial Journal. Optimistic, she likes understanding data and mitigating risks. She loves having friends visiting Barcelona from around the world.

FURTHER INFORMATION

Countries Catalonia (Spain); Spain;
Topics Data science; Economics of LTC; Epidemiology and ageing trajectories; Financing LTC; LTC insurance; Survey measures;
Methods Actuarial methods; Causal inference in Long-Term Care; Cost analysis; Data science and LTC research; Discrete choice analysis; Longitudinal data analysis; Panel data analysis; Quantitative data analysis; Questionnaire; Research ethics; Simulation models; Surveys; Time series analysis;
Role Research;
Interest Groups Data Science; Economics of Long-Term Care; Long-Term Care in Spain;
Websitehttp://www.ub.edu/riskcenter/guillen
ORC.ID0000-0002-2644-6268
GOOGLE SCHOLARhttps://scholar.google.es/citations?user=BKTvaV0AAAAJ&hl=es&oi=ao
LinkedInhttp://www.linkedin.com/in/montserrat-guillen-09631020/
Research interests

Her research focuses on actuarial statistics and quantitative risk management. She has published many scientific articles, contributions to book chapters and books on insurance and actuarial science. She has recently worked on longevity of people with LTC needs in Spain. Her range of topics is: risk, insurance, actuarial statistics, data science, risk analytics, long-term care insurance, statistical methods for insurance and finance, quantitative methods for risk management, longevity, pension-saving investment, telematics.

Key publications

Solé-Auró, A., Guillen, M., Crimmins, E.M. (2012) “Health care usage among immigrants and native-born elderly populations in eleven European countries: results from SHARE” European Journal of Health Economics, 13(6):741-754. DOI: 10.1007/s10198-011-0327-x
Piulachs, X., Andrinopoulou, E. R., Guillén, M. and Rizopoulos, D. (2021) “A Bayesian joint model for zero‐inflated integers and left‐truncated event times with a time‐varying association: Applications to senior health care” Statistics in Medicine, 40(1), 147-166. https://doi.org/10.1002/sim.8767
Arvelo, E., de Armas, J. and Guillen, M. (2020) “Assessing the Distribution of Elderly Requiring Care: A Case Study on the Residents in Barcelona and the Impact of COVID-19”, International Journal of Environmental Research and Public Health, 17(20), 7486. https://doi.org/10.3390/ijerph17207486
Guillen, M., Nielsen, J.P., Ayuso, M., Pérez-Marin, A.M. (2019) “The use of telematics devices to improve automobile insurance rates” Risk Analysis, 39(3), 662-672. DOI: 10.1111/risa.13172
Alemany, R., Ayuso, M. and Guillen, M. (2013) “Impact of road traffic injuries on disability rates and long-term care costs in Spain” Accident Analysis and Prevention, 60, November 2013, 95-102.