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A two-dimensional propensity score matching method for longitudinal quasi-experimental studies: A focus on travel behavior and the built environment

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  • Haotian Zhong
  • Wei Li
  • Marlon G. Boarnet

Abstract

The lack of longitudinal studies of the relationship between the built environment and travel behavior has been widely discussed in the literature. This paper discusses how standard propensity score matching estimators can be extended to enable such studies by pairing observations across two dimensions: longitudinal and cross-sectional. Researchers mimic randomized controlled trials (RCTs) and match observations in both dimensions, to find synthetic control groups that are similar to the treatment group and to match subjects synthetically across before-treatment and after-treatment time periods. We call this a two-dimensional propensity score matching (2DPSM). This method demonstrates superior performance for estimating treatment effects based on Monte Carlo evidence. A near-term opportunity for such matching is identifying the impact of transportation infrastructure on travel behavior.

Suggested Citation

  • Haotian Zhong & Wei Li & Marlon G. Boarnet, 2019. "A two-dimensional propensity score matching method for longitudinal quasi-experimental studies: A focus on travel behavior and the built environment," Papers 1911.00667, arXiv.org, revised Nov 2019.
    • Handle: RePEc:arx:papers:1911.00667
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    References listed on IDEAS

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