Conceptual Framework for the Evaluation of the Impact of Societal Instabilities on Demographic Behavior: A Model Linking Social, Political, Psychological and Demographic Variables
{"title":"Conceptual Framework for the Evaluation of the Impact of Societal Instabilities on Demographic Behavior: A Model Linking Social, Political, Psychological and Demographic Variables","authors":"Yuri Frantsuz","doi":"10.1353/prv.2023.a900992","DOIUrl":null,"url":null,"abstract":"Abstract:The paper proposes a model linking various types of societal instabilities with fertility outcomes. The model incorporates the premises of the extended uncertainty reduction theory, originally developed by Friedman, Hechter and Kanazawa (1994), implying increasing fertility as the means to reduce uncertainty. In the previously published paper on the topic (Frantsuz and Ponarin, 2020) the major premises of the uncertainty reduction theory were explicated, the basic model of using it by linking instability with fertility trends was proposed, and the empirical test of the impact of two types of sociopolitical instabilities on fertility dynamics in the USSR/post-Soviet Russia was performed. In this paper I expand the analysis of the uncertainty reduction theory, supplement the previously outlined general model with the extended one, that takes into account the impact on fertility of societal instabilities of various types, scale and magnitude. I formulate the new assumptions that stem from this elaborated model, the ones leading to a broad array of testable hypotheses. The proposed conceptual framework allows for testing the hypotheses of various instabilities' impact on fertility outcomes in various regions and countries, as well as at different historical periods, even when micro-level data on the individual perceptions of these uncertainties is not available. The importance of such an approach is paramount in the light of problems related to the limited possibilities of performing adequate retrospective qualitative analysis of the individual perceptions of societal instabilities.","PeriodicalId":43131,"journal":{"name":"Population Review","volume":null,"pages":null},"PeriodicalIF":0.4000,"publicationDate":"2023-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Population Review","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1353/prv.2023.a900992","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"DEMOGRAPHY","Score":null,"Total":0}
引用次数: 0
Abstract
Abstract:The paper proposes a model linking various types of societal instabilities with fertility outcomes. The model incorporates the premises of the extended uncertainty reduction theory, originally developed by Friedman, Hechter and Kanazawa (1994), implying increasing fertility as the means to reduce uncertainty. In the previously published paper on the topic (Frantsuz and Ponarin, 2020) the major premises of the uncertainty reduction theory were explicated, the basic model of using it by linking instability with fertility trends was proposed, and the empirical test of the impact of two types of sociopolitical instabilities on fertility dynamics in the USSR/post-Soviet Russia was performed. In this paper I expand the analysis of the uncertainty reduction theory, supplement the previously outlined general model with the extended one, that takes into account the impact on fertility of societal instabilities of various types, scale and magnitude. I formulate the new assumptions that stem from this elaborated model, the ones leading to a broad array of testable hypotheses. The proposed conceptual framework allows for testing the hypotheses of various instabilities' impact on fertility outcomes in various regions and countries, as well as at different historical periods, even when micro-level data on the individual perceptions of these uncertainties is not available. The importance of such an approach is paramount in the light of problems related to the limited possibilities of performing adequate retrospective qualitative analysis of the individual perceptions of societal instabilities.
期刊介绍:
Population Review publishes scholarly research that covers a broad range of social science disciplines, including demography, sociology, social anthropology, socioenvironmental science, communication, and political science. The journal emphasizes empirical research and strives to advance knowledge on the interrelationships between demography and sociology. The editor welcomes submissions that combine theory with solid empirical research. Articles that are of general interest to population specialists are also desired. International in scope, the journal’s focus is not limited by geography. Submissions are encouraged from scholars in both the developing and developed world. Population Review publishes original articles and book reviews. Content is published online immediately after acceptance.