Contents

A Grouped Mixed Proportional Hazard Model with Social Interactions: The Passage of the Motorcycle-Helmet-Use Law

Lee, Jong Yearn / Lee, Yoonseok

  • 795 ITEM VIEW
  • 0 DOWNLOAD
Abstract

We develop a mixed proportional hazard model in discrete time when there is cross-sectional
duration dependence from social interactions. We model the cross-sectional dependence using
the weighted lagged choices of neighbors based on a proper spatial weight matrix, and nonparametrically
specify the baseline hazard and the distribution of unobserved heterogeneity.
We use EM algorithm to estimate the duration model and derive the observed information
matrix for statistical inference. Using the U.S. state-level panel data, we analyze that the
state legislation decision on the mandatory motorcycle-helmet-use law is significantly affected
by neighboring states’ choices, whereas the fatality rate from motorcycle-related accidents is
not so.

Issue Date
2013-02-21
Publisher
2013 경제학 공동학술대회 조직위원회
URI
http://archives.kdischool.ac.kr/kdi_dev/handle/11125/29683
URL
https://www.semanticscholar.org/paper/A-Grouped-Mixed-Proportional-Hazard-Model-with-The-Lee-Lee/8c432843332932aa96be3671e07e5afc90eedb85
Conf. Name
2013 경제학 공동학술대회
Place
KO
고려대학교
Conference Date
2013-02-21
Files in This Item:
    There are no files associated with this item.

Click the button and follow the links to connect to the full text. (KDI CL members only)

qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

상단으로 이동