The Allocation of Time in Sleep: A Social Network Model with Sampled Data

Working Paper: CEPR ID: DP9752

Authors: Xiaodong Liu; Eleonora Patacchini; Edoardo Rainone

Abstract: We analyze peer e¤ects in sleeping behavior using a representative sample of U.S. teenagers from the National Longitudinal Survey of Adolescent Health. The sampling design of the survey causes the conventional 2SLS estimator to be inconsistent. We extend the NLS estimator in Wang and Lee (2013a) to estimate network models with sampled observations on the dependent variable. When accounting for sampling, we find that the sleeping behaviour of the friends is important to shape own sleeping behaviour, besides the impact of individual, family and friend characteristics.

Keywords: Health; Missing Data; Nonlinear Least Squares; Siblings; Social Interactions; Spatial Autoregressive Model; Time Use

JEL Codes: C13; C21; I15; I19; J22


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
Peer sleep patterns (C92)Individual sleep duration (C41)
Individual characteristics + Friend characteristics (C92)Individual sleep duration (C41)
Peer sleep patterns + Individual characteristics + Friend characteristics (C92)Individual sleep duration (C41)

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