{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,28]],"date-time":"2026-09-28T22:06:57Z","timestamp":1790633217045,"version":"4.1.0"},"reference-count":28,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2020,7,12]],"date-time":"2020-07-12T00:00:00Z","timestamp":1594512000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J of Applied Econometrics"],"published-print":{"date-parts":[[2020,8]]},"abstract":"<jats:title>Summary<\/jats:title><jats:p>We extend the synthetic control method to evaluate the distributional effects of policy intervention in the possible presence of poor matching. The counterfactuals (or intervention effects) are identified by matching a vector of pre\u2010intervention quantile <jats:italic>residuals<\/jats:italic> of the treated unit and a convex combination of its potential\u2010control counterparts. The residuals are orthogonal to a set of observable common factors that control for the potentially poor matching. We also apply our method to a set of case studies that explore the distributional effects of state\u2010level minimum\u2010wage hikes in the USA.<\/jats:p>","DOI":"10.1002\/jae.2778","type":"journal-article","created":{"date-parts":[[2020,5,29]],"date-time":"2020-05-29T16:47:50Z","timestamp":1590770870000},"page":"505-525","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["A distributional synthetic control method for policy evaluation"],"prefix":"10.1002","volume":"35","author":[{"given":"Yi\u2010Ting","family":"Chen","sequence":"first","affiliation":[{"name":"Institute of Economics, Academia Sinica  Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2020,7,12]]},"reference":[{"key":"e_1_2_9_2_1","article-title":"Using synthetic controls: Feasibility, data requirements, and methodological aspects","author":"Abadie A.","year":"2019","journal-title":"Journal of Economic Literature"},{"key":"e_1_2_9_3_1","doi-asserted-by":"publisher","DOI":"10.1198\/jasa.2009.ap08746"},{"key":"e_1_2_9_4_1","doi-asserted-by":"publisher","DOI":"10.18637\/jss.v042.i13"},{"key":"e_1_2_9_5_1","doi-asserted-by":"publisher","DOI":"10.1111\/ajps.12116"},{"key":"e_1_2_9_6_1","doi-asserted-by":"publisher","DOI":"10.1257\/000282803321455188"},{"key":"e_1_2_9_7_1","unstructured":"Abadie A. &L'Hour J.(2019).A penalized synthetic control estimator for disaggregated data\u00a0(Working paper). Cambridge MA: Massachusetts Institute of Technology."},{"key":"e_1_2_9_8_1","doi-asserted-by":"crossref","unstructured":"Arkhangelsky D. Athey S. Hirshberg D. A. Imbens G. W. &Wager S.(2019).Synthetic difference in differences\u00a0(Working Paper 25532). Cambridge MA: National Bureau of Economic Research.","DOI":"10.3386\/w25532"},{"key":"e_1_2_9_9_1","doi-asserted-by":"publisher","DOI":"10.1257\/jep.31.2.3"},{"key":"e_1_2_9_10_1","unstructured":"Ben\u2010Michael E. Feller A. &Rothstein J.(2018).New perspectives on the synthetic control method\u00a0(Working paper). Berkeley CA: University of California Berkeley."},{"key":"e_1_2_9_11_1","doi-asserted-by":"publisher","DOI":"10.1162\/REST_a_00324"},{"key":"e_1_2_9_12_1","doi-asserted-by":"publisher","DOI":"10.1162\/REST_a_00429"},{"key":"e_1_2_9_13_1","doi-asserted-by":"publisher","DOI":"10.1177\/001979399004300205"},{"key":"e_1_2_9_14_1","doi-asserted-by":"publisher","DOI":"10.1515\/9781400880874"},{"key":"e_1_2_9_15_1","first-page":"1","article-title":"A comparison between Taiwan's and South Korea's economic growth: Synthetic controls for counterfactual analysis","volume":"50","author":"Chen Y.\u2010T.","year":"2019","journal-title":"Taiwan Economics Forecast and Policy"},{"key":"e_1_2_9_16_1","doi-asserted-by":"crossref","unstructured":"Doudchenko N. &Imbens G. W.(2016).Balancing regression difference\u2010in\u2010differences and synthetic control methods: A synthesis\u00a0(Working Paper 22791). Cambridge MA: National Bureau of Economic Research.","DOI":"10.3386\/w22791"},{"key":"e_1_2_9_17_1","doi-asserted-by":"publisher","DOI":"10.1162\/REST_a_00039"},{"key":"e_1_2_9_18_1","unstructured":"Ferman B. &Pinto C.(2019).Synthetic controls with imperfect pre\u2010treatment fit\u00a0(Working paper). Sao Paulo Brazil: Sao Paulo School of Economics."},{"key":"e_1_2_9_19_1","doi-asserted-by":"publisher","DOI":"10.1162\/REST_a_00537"},{"key":"e_1_2_9_20_1","doi-asserted-by":"publisher","DOI":"10.3390\/econometrics5040052"},{"key":"e_1_2_9_21_1","doi-asserted-by":"publisher","DOI":"10.1002\/jae.1230"},{"key":"e_1_2_9_22_1","doi-asserted-by":"publisher","DOI":"10.1002\/jae.2702"},{"key":"e_1_2_9_23_1","doi-asserted-by":"publisher","DOI":"10.1002\/jae.2310"},{"key":"e_1_2_9_24_1","doi-asserted-by":"publisher","DOI":"10.1561\/0800000014"},{"key":"e_1_2_9_25_1","doi-asserted-by":"publisher","DOI":"10.1162\/003355399556197"},{"key":"e_1_2_9_26_1","unstructured":"Mora R. &Reggio I.(2012).Treatment effect identification using alternative parallel assumptions\u00a0(Working Paper 12\u201033). Madrid Spain: Departmento de Economia Universidad Carlos III de Madrid."},{"key":"e_1_2_9_27_1","doi-asserted-by":"publisher","DOI":"10.2307\/3559021"},{"key":"e_1_2_9_28_1","doi-asserted-by":"crossref","unstructured":"Powell D.(2018).Imperfect synthetic controls: Did the Massachusetts health care reform save lives?\u00a0(Working Paper 1246). Santa Monica CA: RAND Labor and Population.","DOI":"10.7249\/WR1246"},{"key":"e_1_2_9_29_1","doi-asserted-by":"publisher","DOI":"10.1017\/pan.2016.2"}],"container-title":["Journal of Applied Econometrics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/jae.2778","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/full-xml\/10.1002\/jae.2778","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/jae.2778","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,30]],"date-time":"2023-08-30T01:56:51Z","timestamp":1693360611000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/jae.2778"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,7,12]]},"references-count":28,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2020,8]]}},"alternative-id":["10.1002\/jae.2778"],"URL":"https:\/\/doi.org\/10.1002\/jae.2778","archive":["Portico"],"relation":{},"ISSN":["0883-7252","1099-1255"],"issn-type":[{"value":"0883-7252","type":"print"},{"value":"1099-1255","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,7,12]]},"assertion":[{"value":"2019-03-18","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2020-04-27","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2020-07-12","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}