 
  KAREN ALEJANDRA MIRANDA GUALDRON
PROFESORA AYUDANTE DOCTORA
ECONOMÍA APLICADA Y ESTADÍSTICA
FAC.CIENCIAS ECONÓMICAS Y EMPRESARIALES
(+34) 91398-
Academic Information
B.Sc. in Mathematics
Sergio Arboleda University, Colombia. 2011.
Equivalence to a level in Science Degree. Ministry of science, innovation and universities. 2025.
Master in Statistics
BarcelonaTech (Polytechnic University of Catalonia), Spain. 2013.
Ph.D. in Economics
Rovira i Virgili University, Spain. 2014-2018. “Essays on Spatial Panel Econometrics”. Qualification: “Cum laude”. International Mention. 
Research activity
My research lies primarily in Econometric Theory, particularly in topics related to Econometric Modelling, Spatial Econometrics and Dynamic Factor Models (time series analysis). I have also an interest in applications to regional economic growth and productivity.
From March to May 2016, I carried out a research visit at the University of Groningen. Department of Global Economics and Management.
I am the author/co-author of the following peer-reviewed publications:
Miranda, K., Poncela, P. & Ruiz, E. Dynamic factor models: Does the specification matter?. SERIEs 13, 397-428 (2022). https://doi.org/10.1007/s13209-021-00248-2 [JCR Impact factor (2020): 1,088; Economics (Q4: 291/376)].
Poncela, P., Ruiz, E., & Miranda, K. Factor extraction using Kalman Filter and smoothing: This is not just another survey. International Journal of Forecasting, 37(4) (2021), pp. 1399-1425. https://doi.org/10.1016/j.ijforecast.2021.01.027 [JCR Impact factor (2019): 2.825; Economics (Q1: 66/373)].
Miranda, K., Martínez-Ibañez, O., & Manjón-Antolín, M. Estimating individual effects and their spatial spillovers in linear panel data models: Public capital spillovers after all?. Spatial Statistics, 22(1)(2017), pp. 1-17. https://doi.org/10.1016/j.spasta.2017.07.012 [JCR Impact factor (2017): 1.026; Statistics (Q2: 61/123)].
I have participated as a research team member and/or investigator in the following research projects:
Title: Statistical Techniques for High-Dimensional Data. Principal Investigators: Amparo Baíllo Moreno, Javier Cárcamo Urtiaga. Reference: PID2023-148081NB-I00. Period: 2024 – 2027. Funding Agency: Spanish State Research Agency (AEI). Granted Amount: €73,750.00. Call Type: Competitive.
Title: Forecasting Nonstationary High-Dimensional Time Series. Principal Investigator: Esther Ruiz Ortega. Reference: PID2019-108079GB-C21Period: 01/06/2020 – 31/05/2023. Duration: 36 monthsFunding Agency: Spanish State Research Agency (AEI). Granted Amount: €30,008.00Call Type: Competitive.
Title: Economic Indicators: Forecasting with Uncertainty and Instability. Principal Investigator: Esther Ruiz Ortega. Reference: ECO2015-70331-C2-2-RPeriod: 01/01/2016 – 31/07/2020Duration: 55 monthsFunding Agency: Ministry of Economic Affairs and Digital Transformation. Granted Amount: €28,435.00Call Type: Competitive.
Teaching
Asignaturas de Grado:
 
    