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Full-Information Estimation of Heterogeneous Agent Models Using Macro and Micro Data

Laura Liu, Mikkel Plagborg-Møller

arXiv 12 Jan 2021 · Econometrics · publishedQuantitative Economics (2023) · 17 citations (OpenAlex)

arXiv:2101.04771 · PDF · DOI · OpenAlex · Extracted main text

Abstract

We develop a generally applicable full-information inference method for heterogeneous agent models, combining aggregate time series data and repeated cross sections of micro data. To handle unobserved aggregate state variables that affect cross-sectional distributions, we compute a numerically unbiased estimate of the model-implied likelihood function. Employing the likelihood estimate in a Markov Chain Monte Carlo algorithm, we obtain fully efficient and valid Bayesian inference. Evaluation of the micro part of the likelihood lends itself naturally to parallel computing. Numerical illustrations in models with heterogeneous households or firms demonstrate that the proposed full-information method substantially sharpens inference relative to using only macro data, and for some parameters micro data is essential for identification.

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Most heavily cited references

The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.

ReferenceIntensityMentionsSectionsMain text
1Winberry (2018) A method for solving and estimating heterogeneous agent macro models1.000205100%
2Khan and Thomas (2008) Idiosyncratic Shocks and the Role of Nonconvexities in Plant and Aggregate Investment Dynamics1.000113100%
3Reiter (2009) Solving Heterogeneous-Agent Models by Projection and Perturbation1.00085100%
4Herbst and Schorfheide (2016) Bayesian Estimation of DSGE Models1.00054100%
5Andrieu, Doucet, and Holenstein (2010) Particle Markov chain Monte Carlo methods1.00053100%
6Winberry (2016) User Guide for “A Toolbox for Solving and Estimating Heterogeneous Agent Macro Models0.874122100%
7Mongey and Williams (2017) Firm dispersion and business cycles: Estimating aggregate shocks using panel data0.87462100%
8Krusell and Smith (1998) Income and Wealth Heterogeneity in the Macroeconomy0.84333100%
9Ahn, Kaplan, Moll, Winberry, and Wolf (2017) When Inequality Matters for Macro and Macro Matters for Inequality0.81142100%
10Flury and Shephard (2011) Bayesian Inference Based Only on Simulated Likelihood: Particle Filter Analysis of Dynamic Economic Models0.73732100%

Showing the top 10 of 36 scored citations.

Cited by, within the corpus

arXiv econ.EM papers that cite this one, ranked by how heavily they lean on it.

Citing paperIntensityMentionsSections
1Identifying Preferences when households are financially constrained0.40511
2Standard Errors for Calibrated Parameters0.40511
3Firm Heterogeneity and Macroeconomic Fluctuations: a Functional VAR model0.40511
4Inference in partially identified moment models via regularized optimal transport0.40511