全球智库信息集成服务系统(G2TT): Behavioral Biases are Temporally Stable

G2TT

来源类型	Working Paper
规范类型	报告
DOI	10.3386/w27860
来源ID	Working Paper 27860
	Behavioral Biases are Temporally Stable
	Victor Stango; Jonathan Zinman
发表日期	2020-09-28
出版年	2020
语种	英语
摘要	Social scientists often consider temporal stability when assessing the usefulness of a construct and its measures, but whether behavioral biases display such stability is relatively unknown. We estimate stability for 25 biases, in a nationally representative sample, using repeated elicitations three years apart. Bias level indicators are largely stable in the aggregate and within-person. Within-person intertemporal rank correlations imply moderate stability and increase dramatically when using other biases as instrumental variables. Additional results reinforce three key inferences: biases are stable, accounting for classical measurement error in bias elicitation data is important, and eliciting multiple measures of multiple biases is valuable.
主题	Econometrics ; Estimation Methods ; Data Collection ; Microeconomics ; Behavioral Economics ; Macroeconomics
URL	https://www.nber.org/papers/w27860
来源智库	National Bureau of Economic Research (United States)
引用统计
资源类型	智库出版物
条目标识符	http://119.78.100.153/handle/2XGU8XDN/585534
推荐引用方式 GB/T 7714	Victor Stango,Jonathan Zinman. Behavioral Biases are Temporally Stable. 2020.