Problems with products? : Control strategies for models with interaction and quadratic effects
Problems with products? : Control strategies for models with interaction and quadratic effects
Loading...
Date
2020
Editors
Journal ISSN
Electronic ISSN
ISBN
Bibliographical data
Publisher
Series
URI (citable link)
DOI (citable link)
International patent number
Link to the license
EU project number
Project
Open Access publication
Collections
Title in another language
Publication type
Journal article
Publication status
Published
Published in
Political Science Research and Methods ; 8 (2020), 4. - pp. 707-730. - Cambridge University Press. - ISSN 2049-8470. - eISSN 2049-8489
Abstract
Models testing interactive and quadratic hypotheses are common in Political Science but control strategies for these models have received little attention. Common practice is to simply include additive control variables, without relevant product terms, into models with interaction or quadratic terms. In this paper, we show in Monte Carlos that interaction terms can absorb the effects of other un-modeled interaction and non-linear effects and analogously, that included quadratic terms can reflect omitted interactions and non-linearities. This problem even occurs when included and omitted product terms do not share any constitutive terms. We show with Monte Carlo experiments that regularized estimators, the adaptive Lasso, Kernel Regularized Least Squares (KRLS), and Bayesian Additive Regression Trees (BART) can prevent the misattribution of interactive/quadratic effects, minimize the problems of efficiency loss and overfitting, and have low false-positive rates. We illustrate how inferences drawn can change when relevant product terms are used in the control strategy using a recent paper. Implementing the recommendations of this paper would increase the reliability of conditional and non-linear relationships estimated in many papers in the literature.
Summary in another language
Subject (DDC)
320 Politics
Keywords
interaction effects; non-linear effects; model misspecification; machine learning; replication
Conference
Review
undefined / . - undefined, undefined. - (undefined; undefined)
Cite This
ISO 690
BEISER, Janina, Liam F. BEISER-MCGRATH, 2020. Problems with products? : Control strategies for models with interaction and quadratic effects. In: Political Science Research and Methods. Cambridge University Press. 8(4), pp. 707-730. ISSN 2049-8470. eISSN 2049-8489. Available under: doi: 10.1017/psrm.2020.17BibTex
@article{Beiser2020-10Probl-50566, year={2020}, doi={10.1017/psrm.2020.17}, title={Problems with products? : Control strategies for models with interaction and quadratic effects}, number={4}, volume={8}, issn={2049-8470}, journal={Political Science Research and Methods}, pages={707--730}, author={Beiser, Janina and Beiser-McGrath, Liam F.} }
RDF
<rdf:RDF xmlns:dcterms="http://purl.org/dc/terms/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:void="http://rdfs.org/ns/void#" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/50566"> <dc:contributor>Beiser, Janina</dc:contributor> <foaf:homepage rdf:resource="http://localhost:8080/"/> <dc:contributor>Beiser-McGrath, Liam F.</dc:contributor> <dc:creator>Beiser-McGrath, Liam F.</dc:creator> <dcterms:title>Problems with products? : Control strategies for models with interaction and quadratic effects</dcterms:title> <dc:language>eng</dc:language> <dc:creator>Beiser, Janina</dc:creator> <dcterms:abstract xml:lang="eng">Models testing interactive and quadratic hypotheses are common in Political Science but control strategies for these models have received little attention. Common practice is to simply include additive control variables, without relevant product terms, into models with interaction or quadratic terms. In this paper, we show in Monte Carlos that interaction terms can absorb the effects of other un-modeled interaction and non-linear effects and analogously, that included quadratic terms can reflect omitted interactions and non-linearities. This problem even occurs when included and omitted product terms do not share any constitutive terms. We show with Monte Carlo experiments that regularized estimators, the adaptive Lasso, Kernel Regularized Least Squares (KRLS), and Bayesian Additive Regression Trees (BART) can prevent the misattribution of interactive/quadratic effects, minimize the problems of efficiency loss and overfitting, and have low false-positive rates. We illustrate how inferences drawn can change when relevant product terms are used in the control strategy using a recent paper. Implementing the recommendations of this paper would increase the reliability of conditional and non-linear relationships estimated in many papers in the literature.</dcterms:abstract> <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/42"/> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2020-08-25T13:02:21Z</dc:date> <dcterms:issued>2020-10</dcterms:issued> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/42"/> <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/50566/1/Beiser-McGrath_2-b30apzma9p2d6.pdf"/> <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/50566/1/Beiser-McGrath_2-b30apzma9p2d6.pdf"/> <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/50566"/> <dc:rights>Attribution-NonCommercial-ShareAlike 4.0 International</dc:rights> <dcterms:rights rdf:resource="http://creativecommons.org/licenses/by-nc-sa/4.0/"/> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2020-08-25T13:02:21Z</dcterms:available> </rdf:Description> </rdf:RDF>
Internal note
xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter
Examination date of dissertation
Method of financing
Comment on publication
Alliance license
Corresponding Authors der Uni Konstanz vorhanden
International Co-Authors
Bibliography of Konstanz
Yes
Refereed
Yes