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2024 | OriginalPaper | Chapter

3. Causal Models for Project Evaluation

Author : Huajie Yang

Published in: Transportation Policy and Project Evaluation

Publisher: Springer Nature Singapore

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Abstract

This chapter introduces causal models for project evaluation, including methods used to estimate counterfactual effects. Firstly, it discusses the regression discontinuity (RD) method, including fuzzy and sharp RD, and its application in transportation. Then, it covers the difference-in-differences methods, noting that panel data helps estimate causality and that difference-in-differences is widely used in transportation research. Finally, the chapter examines the synthetic control method, which creates a “synthetic” control unit for comparison with the treated unit. Synthetic control methods can also construct counterfactual outcome trajectories. However, the synthetic control method has seen limited application in transportation.

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previous chapter Forecasting Methods
next chapter Case Studies
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Metadata
Title
Causal Models for Project Evaluation
Author
Huajie Yang
Copyright Year
2024
Publisher
Springer Nature Singapore
Book
Transportation Policy and Project Evaluation

Print ISBN: 978-981-9754-29-8

Electronic ISBN: 978-981-9754-30-4

Copyright Year: 2024

DOI
https://doi.org/10.1007/978-981-97-5430-4_3

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