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Juan Carlos Parra‐Alvarez

Biographic Data

ID9595500
NAMEJuan Carlos Parra‐Alvarez
GIVEN NAMESJuan Carlos
FAMILY NAMEParra‐Alvarez
SIGNATUREALVAREZ J C P
AFFILIATIONSDepartment of Economics and Business Economics Aarhus University Fuglesangs Allé 4 8210 Aarhus V Denmark
ORCID0000-0001-9076-9021
VERIFIEDYes
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2023
H-INDEX0
  • Estimation of Heterogeneous Agent Models

    Open Access•Juan Carlos Parra‐Alvarez, Olaf Posch et al.•ARTICLE•Oxford Bulletin of Economics and…•2023

    Using a Bewley‐Hugget‐Aiyagari model we show how to use the Fokker‐Planck equation for likelihood inference in heterogeneous agent (HA) models. We study the finite sample properties of the maximum likelihood estimator (MLE) in Monte Carlo experiments using cross‐sectional data on wealth and income. We use the Kullback–Leibler divergence to investigate identification problems that may affect inference. Unrestricted MLE leads to considerable biases…

No prominent works on this page.

  • Estimation of Heterogeneous Agent Models

    Open Access•Juan Carlos Parra‐Alvarez, Olaf Posch et al.•ARTICLE•Oxford Bulletin of Economics and…•2023

    Using a Bewley‐Hugget‐Aiyagari model we show how to use the Fokker‐Planck equation for likelihood inference in heterogeneous agent (HA) models. We study the finite sample properties of the maximum likelihood estimator (MLE) in Monte Carlo experiments using cross‐sectional data on wealth and income. We use the Kullback–Leibler divergence to investigate identification problems that may affect inference. Unrestricted MLE leads to considerable biases…

Applied Mathematics (1 work) · Artificial Intelligence (1 work) · Complex Systems and Time Series Analysis (1 work) · Computer Science (1 work) · Econometrics (1 work) · Economic theories and models (1 work) · Estimator (1 work) · Inference (1 work) · Kullback–Leibler divergence (1 work) · Mathematics (1 work)

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