{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T03:16:59Z","timestamp":1790824619170,"version":"4.1.0"},"reference-count":37,"publisher":"The Econometric Society","issue":"1","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["QE"],"abstract":"<jats:p>We develop a generally applicable full\u2010information inference method for heterogeneous agent models, combining aggregate time series data and repeated cross\u2010sections of micro data. To handle unobserved aggregate state variables that affect cross\u2010sectional distributions, we compute a numerically unbiased estimate of the model\u2010implied 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\u2010information method substantially sharpens inference relative to using only macro data, and for some parameters micro data is essential for identification.<\/jats:p>","DOI":"10.3982\/qe1810","type":"journal-article","created":{"date-parts":[[2023,1,19]],"date-time":"2023-01-19T12:26:04Z","timestamp":1674131164000},"page":"1-35","source":"Crossref","is-referenced-by-count":16,"title":["Full\u2010information estimation of heterogeneous agent models using macro and micro data"],"prefix":"10.3982","volume":"14","author":[{"given":"Laura","family":"Liu","sequence":"first","affiliation":[{"name":"Department of Economics, Indiana University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mikkel","family":"Plagborg-M\u00f8ller","sequence":"additional","affiliation":[{"name":"Department of Economics, Princeton 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