Revealing the role of factors shaping Americans’ objective well-being: A systems science approach with network analysis. Cifuentes, M. P., Doogan, N. J., Fernandez, S. A., & Seiber, E. E. Journal of Policy Modeling. ![Revealing the role of factors shaping Americans’ objective well-being: A systems science approach with network analysis [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex Despite the introduction of multiple factors, multidimensional approaches cannot represent the complexity of the objective determinants of well-being (ODW). This paper proposes an alternative OWD model that adds a systemic approach, by using Bayesian networks algorithms to discover a directed two level network of variables nested in subnetworks of determinants. The network was inferred by using subsamples of the 2013 version of the American Community Survey. Network analysis methods applied to the model provided new insights concerning single ODW relevance and the roles that are useful to focus selective welfare interventions; they also offered a big picture that is fundamental to reason about the unpremeditated universal character of the selective US welfare policies.
@article{cifuentes_revealing_????,
title = {Revealing the role of factors shaping {Americans}’ objective well-being: {A} systems science approach with network analysis},
issn = {0161-8938},
shorttitle = {Revealing the role of factors shaping {Americans}’ objective well-being},
url = {http://www.sciencedirect.com/science/article/pii/S0161893816300126},
doi = {10.1016/j.jpolmod.2016.03.014},
abstract = {Despite the introduction of multiple factors, multidimensional approaches cannot represent the complexity of the objective determinants of well-being (ODW). This paper proposes an alternative OWD model that adds a systemic approach, by using Bayesian networks algorithms to discover a directed two level network of variables nested in subnetworks of determinants. The network was inferred by using subsamples of the 2013 version of the American Community Survey. Network analysis methods applied to the model provided new insights concerning single ODW relevance and the roles that are useful to focus selective welfare interventions; they also offered a big picture that is fundamental to reason about the unpremeditated universal character of the selective US welfare policies.},
urldate = {2016-04-11},
journal = {Journal of Policy Modeling},
author = {Cifuentes, Myriam Patricia and Doogan, Nathan J. and Fernandez, Soledad A. and Seiber, Eric E.},
keywords = {Bayesian networks, complex systems, Network analysis, Objective determinants of well-being, Well-Being},
file = {ScienceDirect Full Text PDF:files/54349/Cifuentes et al. - Revealing the role of factors shaping Americans’ o.pdf:application/pdf;ScienceDirect Snapshot:files/54350/S0161893816300126.html:text/html}
}
Downloads: 0
{"_id":"DiZuD96nTdBpBbk7v","bibbaseid":"cifuentes-doogan-fernandez-seiber-revealingtheroleoffactorsshapingamericansobjectivewellbeingasystemsscienceapproachwithnetworkanalysis","downloads":0,"creationDate":"2016-09-09T06:27:35.644Z","title":"Revealing the role of factors shaping Americans’ objective well-being: A systems science approach with network analysis","author_short":["Cifuentes, M. P.","Doogan, N. J.","Fernandez, S. A.","Seiber, E. E."],"year":null,"bibtype":"article","biburl":"https://www.sfu.ca/~howlett/howlett16.bib","bibdata":{"bibtype":"article","type":"article","title":"Revealing the role of factors shaping Americans’ objective well-being: A systems science approach with network analysis","issn":"0161-8938","shorttitle":"Revealing the role of factors shaping Americans’ objective well-being","url":"http://www.sciencedirect.com/science/article/pii/S0161893816300126","doi":"10.1016/j.jpolmod.2016.03.014","abstract":"Despite the introduction of multiple factors, multidimensional approaches cannot represent the complexity of the objective determinants of well-being (ODW). This paper proposes an alternative OWD model that adds a systemic approach, by using Bayesian networks algorithms to discover a directed two level network of variables nested in subnetworks of determinants. The network was inferred by using subsamples of the 2013 version of the American Community Survey. Network analysis methods applied to the model provided new insights concerning single ODW relevance and the roles that are useful to focus selective welfare interventions; they also offered a big picture that is fundamental to reason about the unpremeditated universal character of the selective US welfare policies.","urldate":"2016-04-11","journal":"Journal of Policy Modeling","author":[{"propositions":[],"lastnames":["Cifuentes"],"firstnames":["Myriam","Patricia"],"suffixes":[]},{"propositions":[],"lastnames":["Doogan"],"firstnames":["Nathan","J."],"suffixes":[]},{"propositions":[],"lastnames":["Fernandez"],"firstnames":["Soledad","A."],"suffixes":[]},{"propositions":[],"lastnames":["Seiber"],"firstnames":["Eric","E."],"suffixes":[]}],"keywords":"Bayesian networks, complex systems, Network analysis, Objective determinants of well-being, Well-Being","file":"ScienceDirect Full Text PDF:files/54349/Cifuentes et al. - Revealing the role of factors shaping Americans’ o.pdf:application/pdf;ScienceDirect Snapshot:files/54350/S0161893816300126.html:text/html","bibtex":"@article{cifuentes_revealing_????,\n\ttitle = {Revealing the role of factors shaping {Americans}’ objective well-being: {A} systems science approach with network analysis},\n\tissn = {0161-8938},\n\tshorttitle = {Revealing the role of factors shaping {Americans}’ objective well-being},\n\turl = {http://www.sciencedirect.com/science/article/pii/S0161893816300126},\n\tdoi = {10.1016/j.jpolmod.2016.03.014},\n\tabstract = {Despite the introduction of multiple factors, multidimensional approaches cannot represent the complexity of the objective determinants of well-being (ODW). This paper proposes an alternative OWD model that adds a systemic approach, by using Bayesian networks algorithms to discover a directed two level network of variables nested in subnetworks of determinants. The network was inferred by using subsamples of the 2013 version of the American Community Survey. Network analysis methods applied to the model provided new insights concerning single ODW relevance and the roles that are useful to focus selective welfare interventions; they also offered a big picture that is fundamental to reason about the unpremeditated universal character of the selective US welfare policies.},\n\turldate = {2016-04-11},\n\tjournal = {Journal of Policy Modeling},\n\tauthor = {Cifuentes, Myriam Patricia and Doogan, Nathan J. and Fernandez, Soledad A. and Seiber, Eric E.},\n\tkeywords = {Bayesian networks, complex systems, Network analysis, Objective determinants of well-being, Well-Being},\n\tfile = {ScienceDirect Full Text PDF:files/54349/Cifuentes et al. - Revealing the role of factors shaping Americans’ o.pdf:application/pdf;ScienceDirect Snapshot:files/54350/S0161893816300126.html:text/html}\n}\n\n","author_short":["Cifuentes, M. P.","Doogan, N. J.","Fernandez, S. A.","Seiber, E. E."],"key":"cifuentes_revealing_????","id":"cifuentes_revealing_????","bibbaseid":"cifuentes-doogan-fernandez-seiber-revealingtheroleoffactorsshapingamericansobjectivewellbeingasystemsscienceapproachwithnetworkanalysis","role":"author","urls":{"Paper":"http://www.sciencedirect.com/science/article/pii/S0161893816300126"},"keyword":["Bayesian networks","complex systems","Network analysis","Objective determinants of well-being","Well-Being"],"downloads":0},"search_terms":["revealing","role","factors","shaping","americans","objective","well","being","systems","science","approach","network","analysis","cifuentes","doogan","fernandez","seiber"],"keywords":["bayesian networks","complex systems","network analysis","objective determinants of well-being","well-being"],"authorIDs":[],"dataSources":["Bn7xRaKMY43f7hFwh"]}