{"title":"State of the Art","authors":"D. Porche","doi":"10.1002/9781119782605.ch0","DOIUrl":"https://doi.org/10.1002/9781119782605.ch0","url":null,"abstract":"Using data from the 2008–2016 American Community Survey, we compare the racial identification responses of the Mexican-origin population residing in California to their counterparts in Texas, the two states with the largest and most established Mexicanorigin populations. We draw on existing theory and research in order to derive a theoretical account of state-level historical mechanisms that are likely to lead to varying patterns of racial identification within the two states and a set of propositions predicting the nature of this variation. Results indicate that the Mexican-origin population in Texas is substantially more likely to claimWhite racial identification than their counterparts in California, even after accounting for factors related to racial identity formation. Further analysis indicates that this result is robust and buffets the notion that the historical development of the racial context in Texas has engendered a present-day context in which “Whiteness” carries a distinctive social value, relative to California’s ethnoracial context, and that this social value is reflected in the ways in which individuals of Mexican origin respond to race questions on U.S. Census surveys.","PeriodicalId":309510,"journal":{"name":"Business Forecasting","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128733455","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Artificial Intelligence and Machine Learning in Forecasting","authors":"","doi":"10.1002/9781119782605.ch1","DOIUrl":"https://doi.org/10.1002/9781119782605.ch1","url":null,"abstract":"","PeriodicalId":309510,"journal":{"name":"Business Forecasting","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133272282","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Big Data in Forecasting","authors":"","doi":"10.1002/9781119782605.ch2","DOIUrl":"https://doi.org/10.1002/9781119782605.ch2","url":null,"abstract":"","PeriodicalId":309510,"journal":{"name":"Business Forecasting","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129536229","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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