大连理工大学数学科学学院
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To Lie or Not to Lie: Survey Mode Effects on the Validity of Self-Reported Substance Use Data

2017年05月31日 15:28  点击:[]

学术报告

报告题目:To Lie or Not to Lie: Survey Mode Effects on the Validity of Self-Reported Substance Use Data

报告人:Dr 张晓慧  ( Business School University of Exeter UK

校内联系人:闫达文, 电话:84708351-8136

报告时间:201567日(周三)900-1000

报告地点:研教楼418

报告摘要:We examine effects of survey mode on the validity of self-reported substance use data by exploiting quasi-experimental variations in survey methods in Australian National Drug Strategy Household Survey. A single-index zero inflated Probit model is employed to estimate such effects.  We find that survey mode has a large effect on the surveyee's misreporting behaviour for all three substances (tobacco, marijuana, and speed) examined in this paper, but particularly so for marijuana users. Moreover, such effects vary significantly depending on the nature of the relevant substance and the surveyee's individual characteristics (gender, age, etc.). Finally, we propose a simple behavioural model to understand our findings.

 

报告人简介:Dr Xiaohui Zhang is a Senior Lecturer in economics at the Business School of the University of Exeter, UK. Before joining the University of Exeter, she had ever been working at  department of Econometrics and Business Statistics of Monash University and  school of Management and Governance of Murdoch University, Australia. She obtained her PhD in Econometrics and Health Economics from Monash University, Australia. Her research area is in applied micro-econometrics, including cross-sectional and panel data modelling, applied Bayesian econometrics, semi-parametric and non-parametric modelling and productivity and efficiency analysis. She has publications in Journal of Econometrics, Journal of Banking and Finance, Annals of Applied Statistics, Journal of Health Economics, Health Economics, etc.

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                                                                                        大连理工大学数学科学学院

                                                                                                        2017531

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