{"id":{"repo_id":"unt","oai_identifier":"info:ark/67531/metadc2229"},"canonical_url":"https://search.dev.ndltd.org/etd/unt/info:ark/67531/metadc2229","repository":{"repo_id":"unt","name":"University of North Texas","base_url":"https://digital.library.unt.edu/oai/"},"display":{"title":"Fractional Integration and Political Modeling","abstract":"This dissertation investigates the consequences of fractional dynamics for political modeling. Using Monte Carlo analyses, Chapters II and III investigate the threats to statistical inference posed by including fractionally integrated variables in bivariate and multivariate regressions. Fractional differencing is the most appropriate tool to guard against spurious regressions and other threats to inference. Using fractional differencing, multivariate models of British politics are developed in Chapter IV to compare competing theories regarding which subjective measure of economic evaluations best predicts support levels for the governing party; egocentric measures outperform sociotropic measures. The concept of fractional cointegration is discussed and the value of fractionally integrated error correction mechanisms are both discussed and demonstrated in models of Conservative party support. In Chapter V models of presidential approval in the United States are reconfigured in light of the possibilities of fractionally integrated variables. In both the British and American case accounting for the fractional character of all variables allows the development of more accurate multivariate models.","abstract_html":"This dissertation investigates the consequences of fractional dynamics for political modeling. Using Monte Carlo analyses, Chapters II and III investigate the threats to statistical inference posed by including fractionally integrated variables in bivariate and multivariate regressions. Fractional differencing is the most appropriate tool to guard against spurious regressions and other threats to inference. Using fractional differencing, multivariate models of British politics are developed in Chapter IV to compare competing theories regarding which subjective measure of economic evaluations best predicts support levels for the governing party; egocentric measures outperform sociotropic measures. The concept of fractional cointegration is discussed and the value of fractionally integrated error correction mechanisms are both discussed and demonstrated in models of Conservative party support. In Chapter V models of presidential approval in the United States are reconfigured in light of the possibilities of fractionally integrated variables. In both the British and American case accounting for the fractional character of all variables allows the development of more accurate multivariate models.","abstract_has_math":false,"creators":["Lebo, Matthew Jonathan"],"institution":"University of North Texas","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":["Clarke, Harold D.","Feigert, Frank","Tan, Alexander","Meernik, James"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":1999,"date_issued":"1999-08","date_published":"1999-08","updated_at":"2026-07-24T05:34:52Z","subjects":["Political science -- Mathematical models.","Political statistics.","fractional cointegration","multivariate models"],"languages":["English"],"rights":["Public","Copyright","Lebo, Matthew Jonathan","Copyright is held by the author, unless otherwise noted. All rights reserved."],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["oclc: 45054402","untcat: b2228292","https://digital.library.unt.edu/ark:/67531/metadc2229/","ark: ark:/67531/metadc2229"],"render_values":[{"text":"oclc: 45054402","href":null,"code":true},{"text":"untcat: b2228292","href":null,"code":true},{"text":"https://digital.library.unt.edu/ark:/67531/metadc2229/","href":"https://digital.library.unt.edu/ark:/67531/metadc2229/","code":true},{"text":"ark: ark:/67531/metadc2229","href":null,"code":true}]}]},"links":{"outbound_url":"https://doi.org/10.12794/metadc2229","outbound_label":"DOI","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Clarke, Harold D.","Feigert, Frank","Tan, Alexander","Meernik, James"]},{"key":"dc:creator","label":"Author","values":["Lebo, Matthew Jonathan"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["1999-08"]},{"key":"dc:publisher","label":"Institution","values":["University of North Texas"]},{"key":"dc:type","label":"Dc Type","values":["Thesis or Dissertation"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Political science -- Mathematical models.","Political statistics.","fractional cointegration","multivariate models"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["English"]},{"key":"dc:rights","label":"Dc Rights","values":["Public","Copyright","Lebo, Matthew Jonathan","Copyright is held by the author, unless otherwise noted. 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Using fractional differencing, multivariate models of British politics are developed in Chapter IV to compare competing theories regarding which subjective measure of economic evaluations best predicts support levels for the governing party; egocentric measures outperform sociotropic measures. The concept of fractional cointegration is discussed and the value of fractionally integrated error correction mechanisms are both discussed and demonstrated in models of Conservative party support. In Chapter V models of presidential approval in the United States are reconfigured in light of the possibilities of fractionally integrated variables. In both the British and American case accounting for the fractional character of all variables allows the development of more accurate multivariate models."]},{"key":"dc:format","label":"Dc Format","values":["Text"]},{"key":"dc:title","label":"Title","values":["Fractional Integration and Political Modeling"]}]}],"canonical_facts":{"dc:contributor":["Clarke, Harold D.","Feigert, Frank","Tan, Alexander","Meernik, James"],"dc:creator":["Lebo, Matthew Jonathan"],"dc:date":["1999-08"],"dc:description":["This dissertation investigates the consequences of fractional dynamics for political modeling. Using Monte Carlo analyses, Chapters II and III investigate the threats to statistical inference posed by including fractionally integrated variables in bivariate and multivariate regressions. Fractional differencing is the most appropriate tool to guard against spurious regressions and other threats to inference. Using fractional differencing, multivariate models of British politics are developed in Chapter IV to compare competing theories regarding which subjective measure of economic evaluations best predicts support levels for the governing party; egocentric measures outperform sociotropic measures. The concept of fractional cointegration is discussed and the value of fractionally integrated error correction mechanisms are both discussed and demonstrated in models of Conservative party support. In Chapter V models of presidential approval in the United States are reconfigured in light of the possibilities of fractionally integrated variables. In both the British and American case accounting for the fractional character of all variables allows the development of more accurate multivariate models."],"dc:format":["Text"],"dc:identifier":["oclc: 45054402","untcat: b2228292","doi: 10.12794/metadc2229","https://digital.library.unt.edu/ark:/67531/metadc2229/","ark: ark:/67531/metadc2229"],"dc:language":["English"],"dc:publisher":["University of North Texas"],"dc:rights":["Public","Copyright","Lebo, Matthew Jonathan","Copyright is held by the author, unless otherwise noted. All rights reserved."],"dc:subject":["Political science -- Mathematical models.","Political statistics.","fractional cointegration","multivariate models"],"dc:title":["Fractional Integration and Political Modeling"],"dc:type":["Thesis or Dissertation"]},"updated_at":"2026-07-24T05:34:52Z"}