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Olaf Posch

Biographic Data

ID9595501
NAMEOlaf Posch
GIVEN NAMESOlaf
FAMILY NAMEPosch
SIGNATUREPOSCH O
AFFILIATIONSCREATES Center for Research in Econometric Analysis of Time Series Aarhus V 8210 Denmark
VERIFIEDNo
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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