Empirical Bayesball Remixed: Empirical Bayes Methods for Longitudinal Data
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- Feng, Long & Dicker, Lee H., 2018. "Approximate nonparametric maximum likelihood for mixture models: A convex optimization approach to fitting arbitrary multivariate mixing distributions," Computational Statistics & Data Analysis, Elsevier, vol. 122(C), pages 80-91.
- Laura Liu, 2018.
"Density Forecasts in Panel Data Models : A Semiparametric Bayesian Perspective,"
Finance and Economics Discussion Series
2018-036, Board of Governors of the Federal Reserve System (U.S.).
- Laura Liu, 2020. "Density Forecasts in Panel Data Models: A Semiparametric Bayesian Perspective," CAEPR Working Papers 2020-003, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
- Laura Liu, 2018. "Density Forecasts in Panel Data Models: A Semiparametric Bayesian Perspective," Papers 1805.04178, arXiv.org, revised Oct 2021.
- Zhan Gao & Zhentao Shi, 2021.
"Implementing Convex Optimization in R: Two Econometric Examples,"
Computational Economics, Springer;Society for Computational Economics, vol. 58(4), pages 1127-1135, December.
- Zhan Gao & Zhentao Shi, 2018. "Implementing Convex Optimization in R: Two Econometric Examples," Papers 1806.10423, arXiv.org, revised Aug 2019.
- Victor Aguirregabiria & Francis Guiton, 2022.
"Decentralized Decision-Making in Retail Chains: Evidence from Inventory Management,"
Working Papers
tecipa-722, University of Toronto, Department of Economics.
- Victor Aguirregabiria & Francis Guiton, 2023. "Decentralized Decision-Making in Retail Chains: Evidence from Inventory Management," Papers 2307.05562, arXiv.org.
- Aguirregabiria, Victor & Guiton, Francis, 2022. "Decentralized Decision-Making in Retail Chains: Evidence from Inventory Management," CEPR Discussion Papers 17149, C.E.P.R. Discussion Papers.
- Manuel Arellano & Stéphane Bonhomme, 2023.
"Recovering Latent Variables by Matching,"
Journal of the American Statistical Association, Taylor & Francis Journals, vol. 118(541), pages 693-706, January.
- Manuel Arellano & Stephane Bonhomme, 2019. "Recovering Latent Variables by Matching," Papers 1912.13081, arXiv.org.
- Manuel Arellano & Stéphane Bonhomme, 2020. "Recovering Latent Variables by Matching," CeMMAP working papers CWP2/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Manuel Arellano & Stéphane Bonhomme, 2019. "Recovering Latent Variables by Matching," Working Papers wp2019_1914, CEMFI.
- Brad R. Humphreys & Bruce K. Johnson & John C. Whitehead, 2020.
"Validity and reliability of contingent valuation and life satisfaction measures of welfare: An application to the value of national Olympic success,"
Southern Economic Journal, John Wiley & Sons, vol. 87(1), pages 316-330, July.
- Brad R. Humphreys & Bruce K. Johnson & John C. Whitehead, 2017. "Validity and Reliability of Contingent Valuation and Life Satisfaction Measures of Welfare: An Application to the Value of National Olympic Success," Working Papers 17-08, Department of Economics, Appalachian State University.
- Jiaying Gu & Roger Koenker, 2023. "Invidious Comparisons: Ranking and Selection as Compound Decisions," Econometrica, Econometric Society, vol. 91(1), pages 1-41, January.
- Antonio Pacifico, 2023. "Obesity and labour market outcomes in Italy: a dynamic panel data evidence with correlated random effects," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 24(4), pages 557-574, June.
- Liu, Laura & Moon, Hyungsik Roger & Schorfheide, Frank, 2021.
"Panel forecasts of country-level Covid-19 infections,"
Journal of Econometrics, Elsevier, vol. 220(1), pages 2-22.
- Laura Liu & Hyungsik Roger Moon & Frank Schorfheide, 2020. "Panel Forecasts of Country-Level Covid-19 Infections," NBER Working Papers 27248, National Bureau of Economic Research, Inc.
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