Journal Articles

Gu, A and Yoo, HI (2021) Prospect Theory and Mutual Fund Flows, Economics Letters, 201, pp.109776-109776, ISSN: 0165-1765. DOI: 10.1016/j.econlet.2021.109776.

Harrison, GW, Lau, MI, Yoo, HI (2020) Risk Attitudes, Sample Selection, and Attrition in a Longitudinal Field Experiment, The Review of Economics and Statistics, 102(3), pp.552-568, ISSN: 0034-6535. DOI: 10.1162/rest_a_00845.

Yoo, HI (2020) lclogit2: An enhanced command to fit latent class conditional logit models, The Stata Journal: Promoting communications on statistics and Stata, 20(2), pp.405-425, ISSN: 1536-867X. DOI: 10.1177/1536867x20931003.

Doiron, D and Yoo, HI (2020) Stated preferences over job characteristics: A panel study, Canadian Journal of Economics/Revue canadienne d'économique, 53(1), pp.43-82, ISSN: 0008-4085. DOI: 10.1111/caje.12431.

Moffat, J and Yoo, HI (2020) Religion, religiosity and educational attainment: evidence from the compulsory education system in England, Applied Economics, 52(4), pp.430-442, ISSN: 0003-6846. DOI: 10.1080/00036846.2019.1646872.

Gu, A and Yoo, HI (2019) vcemway: A one-stop solution for robust inference with multiway clustering, The Stata Journal: Promoting communications on statistics and Stata, 19(4), pp.900-912, ISSN: 1536-867X. DOI: 10.1177/1536867x19893637.

Yan, J and Yoo, HI (2019) Semiparametric estimation of the random utility model with rank-ordered choice data, Journal of Econometrics, 211(2), pp.414-438, ISSN: 0304-4076. DOI: 10.1016/j.jeconom.2019.03.003.

Fiebig, DG and Yoo, HI (2019) Econometrics of Stated Preferences, DOI: 10.1093/acrefore/9780190625979.013.92.

Groothuis-Oudshoorn, CGM, Flynn, TN, Yoo, HI, Magidson, J, Oppe, M (2018) Key Issues and Potential Solutions for Understanding Healthcare Preference Heterogeneity Free from Patient-Level Scale Confounds, The Patient - Patient-Centered Outcomes Research, 11(5), pp.463-466, ISSN: 1178-1653. DOI: 10.1007/s40271-018-0309-5.

Oviedo, JL and Yoo, HI (2017) A Latent Class Nested Logit Model for Rank-Ordered Data with Application to Cork Oak Reforestation, Environmental and Resource Economics, 68(4), pp.1021-1051, ISSN: 0924-6460. DOI: 10.1007/s10640-016-0058-7.

Hole, AR and Yoo, HI (2017) The Use of Heuristic Optimization Algorithms to Facilitate Maximum Simulated Likelihood Estimation of Random Parameter Logit Models, Journal of the Royal Statistical Society Series C: Applied Statistics, 66(5), pp.997-1013, ISSN: 0035-9254. DOI: 10.1111/rssc.12209.

Doiron, D and Yoo, HI (2017) Temporal Stability of Stated Preferences: The Case of Junior Nursing Jobs, Health Economics, 26(6), pp.802-809, ISSN: 1057-9230. DOI: 10.1002/hec.3350.

Abul Naga, RH, Shen, Y, Yoo, HI (2016) Joint hypothesis tests for multidimensional inequality indices, Economics Letters, 141, pp.138-142, ISSN: 0165-1765. DOI: 10.1016/j.econlet.2016.02.010.

Moffat, J and Yoo, HI (2015) Who are the unemployed? Evidence from the United Kingdom, Economics Letters, 132, pp.61-64, ISSN: 0165-1765. DOI: 10.1016/j.econlet.2015.04.017.

Yoo, HI and Doiron, D (2013) The use of alternative preference elicitation methods in complex discrete choice experiments, Journal of Health Economics, 32(6), pp.1166-1179, ISSN: 0167-6296. DOI: 10.1016/j.jhealeco.2013.09.009.

Pacifico, D and Yoo, HI (2013) Lclogit: A Stata Command for Fitting Latent-Class Conditional Logit Models via the Expectation-Maximization Algorithm, The Stata Journal: Promoting communications on statistics and Stata, 13(3), pp.625-639, ISSN: 1536-867X. DOI: 10.1177/1536867x1301300312.

Chapters

Lau, M, Yoo, HI, Zhao, H (2023) Temporal stability of cumulative prospect theory. In Harrison, GW and Ross, D (ed) Models of Risk Preferences: Descriptive and Normative Challenges, Emerald Publishing Limited, pp.193-226, ISBN: 9781837972692. DOI: 10.1108/S0193-230620230000022004.

Lau, MI, Yoo, HI, Zhao, H (2023) Temporal Stability of Cumulative Prospect Theory. In Models of Risk Preferences: Descriptive and Normative Challenges, Emerald Publishing Limited, pp.193-226, ISBN: 9781837972692. DOI: 10.1108/s0193-230620230000022004.