Extending synthetic control method for multiple treated units: an application to environmental intervention

References

• Abadie, A., & Gardeazabal, J. (2003). The economic costs of conflict: A case study of the Basque Country. American Economic Review, 93(1), 113–132. https://doi.org/https://doi.org/10.1257/000282803321455188
   Web of Science ®Google Scholar
• Abadie, A., Diamond, A., & Hainmueller, J. (2010). Synthetic control methods for comparative case studies: Estimating the effect of California’s Tobacco Control Program. Journal of the American Statistical Association, 105(490), 493–505. https://doi.org/https://doi.org/10.1198/jasa.2009.ap08746
   Web of Science ®Google Scholar
• Almer, C., & Winkler, R. (2017). Analyzing the effectiveness of international environmental policies: The case of the Kyoto Protocol. Journal of Environmental Economics and Management, 82, 125–151. https://doi.org/https://doi.org/10.1016/j.jeem.2016.11.003
   Web of Science ®Google Scholar
• Castillo, V., Figal Garone, L., Maffioli, A., & Salazar, L. (2017). The causal effects of regional industrial policies on employment: A synthetic control approach. Regional Science and Urban Economics, 67, 25–41. https://doi.org/https://doi.org/10.1016/j.regsciurbeco.2017.08.003
   Web of Science ®Google Scholar
• Chang, Y., Huang, R., & Masanet, E. (2014). The energy, water, and air pollution implications of tapping China’s shale gas reserves. Resources, Conservation and Recycling, 91(9), 100–108. https://doi.org/https://doi.org/10.1016/j.resconrec.2014.07.015
   Web of Science ®Google Scholar
• Chen, Y., Jin, G. Z., Kumar, N., & Shi, G. (2013). The promise of Beijing: Evaluating the impact of the 2008 Olympic Games on air quality. Journal of Environmental Economics and Management, 66(3), 424–443. https://doi.org/https://doi.org/10.1016/j.jeem.2013.06.005
   Web of Science ®Google Scholar
• Davis, L. W. (2008). The effect of driving restrictions on air quality in Mexico City. Journal of Political Economy, 116(1), 38–81. https://doi.org/https://doi.org/10.1086/529398
   Web of Science ®Google Scholar
• Dube, A., & Zipperer, B. (2015). Pooling Multiple Case Studies Using Synthetic Controls: An Application to Minimum Wage Policies. IZA Discussion Paper No. 8944. https://ssrn.com/abstract=2589786.
   Google Scholar
• Edgington, E., & Onghena, P. (2007). Randomization tests (statistics: a series of textbooks and monographs). 4th edn. Chapman & Hall/CRC.
   Google Scholar
• Gagliardi, L., & Percoco, M. (2017). The impact of European cohesion policy in Urban and Rural Regions. Regional Studies, 51(6), 857–868. https://doi.org/https://doi.org/10.1080/00343404.2016.1179384
   Web of Science ®Google Scholar
• Henderson, J. V. (1996). Effects of air quality regulation. American Economic Review, 86(4), 789–813.
   Web of Science ®Google Scholar
• Kathuria, V. (2002). Vehicular pollution control in Delhi: need for integrated approach. Economic and Political Weekly, 37(12), 1147–1155.
   Google Scholar
• Karaman, K., & Karaman, Y. S. (2017). The monetary policy change in Turkey in 2009 and its implications for inflation and growth. Bogazici Journal, 31(1), 1–21. https://doi.org/https://doi.org/10.21773/boun.31.1.1
   Google Scholar
• Kreif, N., Grieve, R., Hangartner, D., Turner, A. J., Nikolova, S., & Sutton, M. (2016). Examination of the synthetic control method for evaluating health policies with multiple treated units. Health Economics, 25(12), 1514–1528. https://doi.org/https://doi.org/10.1002/hec.3258
   PubMed Web of Science ®Google Scholar
• Lu, H., Yue, A., Chen, H., & Long, R. (2018). Could smog pollution lead to the migration of local skilled workers? Evidence from the Jing-Jin-Ji Region in China. Resources, Conservation and Recycling, 130(3), 177–187. https://doi.org/https://doi.org/10.1016/j.resconrec.2017.11.024
   Web of Science ®Google Scholar
• Mao, M. J., & Hu, D. Y. (2017). Evaluation of the air pollution control over Zhejiang Province during the G20 Summit in Hangzhou. Research of Environmental Sciences, 30(12), 1822–1831.
   Google Scholar
• Nykiforuk, C. I. J., McGetrick, J. A., Raine, K. D., & Wild, T. C. (2019). Advocacy coalition impacts on healthy public policy-oriented learning in Alberta, Canada (2009–2016): A difference-in-differences analysis. Social Science & Medicine, 220, 31–40. https://doi.org/https://doi.org/10.1016/j.socscimed.2018.10.017
   PubMed Web of Science ®Google Scholar
• Pellegrini, G., Terribile, F., Tarola, O., Muccigrosso, T., & Busillo, F. (2013). Measuring the effects of European Regional Policy on economic growth: A regression discontinuity approach. Papers in Regional Science, 92(1), 217–233. https://doi.org/https://doi.org/10.1111/j.1435-5957.2012.00459.x
   Web of Science ®Google Scholar
• Qi, W. (2014). Air quality policy assessment under functional data perspective: An analysis of odd-even day traffic restriction scheme in Lanzhou city. Statistics & Information Forum, 29(09), 79–85.
   Google Scholar
• Qin, X. Z., Zhuang, C. C., & Yang, R. (2017). Does the one-child policy improve children’s human capital in Urban China? A regression discontinuity design. Journal of Comparative Economics, 45(2), 287–303. https://doi.org/https://doi.org/10.1016/j.jce.2016.09.001
   Web of Science ®Google Scholar
• Qiu, Z. X., & Liu, S. (2013). Effect of motor vehicle restriction on air pollution index in Beijing. Review of Economic Research, 2013(11), 70–73 + 76.
   Google Scholar
• Stevens, K. A. (2018). Natural gas combined cycle utilization: An empirical analysis of the impact of environmental policies and prices. The Energy Journal, 39(01), 205–229. https://doi.org/https://doi.org/10.5547/01956574.39.5.kste
   Web of Science ®Google Scholar
• Sun, D., Fang, J., & Sun, J. (2018). Health-related benefits of air quality improvement from coal control in China: Evidence from the Jing-Jin-Ji region. Resources, Conservation and Recycling, 129(2), 416–423. https://doi.org/https://doi.org/10.1016/j.resconrec.2016.09.021
   Web of Science ®Google Scholar
• Sun, K. X. (2017). Study on effect of haze treatment on vehicle emission standard-analysis based on regression discontinuity design. Soft Science, 31(11), 93–97.
   Google Scholar
• Thistlethwaite, D. L., & Campbell, D. T. (1960). Regression-discontinuity analysis: an alternative to the ex post facto experiment. Journal of Educational Psychology, 51(6), 309–317. https://doi.org/https://doi.org/10.1037/h0044319
   Web of Science ®Google Scholar
• Xi, P. H., & Liang, R. B. (2015). Can air pollution influence the local environmental protection expenditure-based on the multiple-cutoffs regression discontinuity design. Statistical Research, 32(9), 76–83.
   Google Scholar
• Yang, Z. B., Fan, M. T., Shao, S., & Yang, L. L. (2017). Does carbon intensity constraint policy improve industrial green production performance in China? A quasi-DID analysis. Energy Economics, 68, 271–282. https://doi.org/https://doi.org/10.1016/j.eneco.2017.10.009
   Web of Science ®Google Scholar
• Zeng, B., Wu, T., & Guo, X. (2019). Interprovincial trade, economic development and the impact on air quality in China. Resources, Conservation and Recycling, 142(3), 204–214. https://doi.org/https://doi.org/10.1016/j.resconrec.2018.12.002
   Web of Science ®Google Scholar
• Zhang, C., Chen, J., & Wen, Z. (2012). Alternative policy assessment for water pollution control in China’s pulp and paper industry. Resources, Conservation and Recycling, 66(9), 15–26. https://doi.org/https://doi.org/10.1016/j.resconrec.2012.06.004
   Web of Science ®Google Scholar
• Zhang, J., Zhong, C., & Yi, M. (2016). Did environmental regulation improve air quality in Beijing?—based on the synthetic control method. Collected Essays on Finance and Economics, 18(06), 104–112.
   Google Scholar