Improving access to voting with optimized matchings

Research on political representation has traditionally focused on the design of electoral systems. Yet there is evidence that voting costs result in lower turnout and undermine voters’ confidence in the electoral system. Election administrators can selectively manipulate participation costs for diff...

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Detalles Bibliográficos
Autores principales:	Durán, G., Giormenti, M., Guajardo, M., Pinto, P.M., Rey, P.A., Stier-Moses, N.E.
Formato:	JOUR
Materias:	Elections Geocoding Linear programming Queuing theory Voting costs accessibility cost analysis election electoral system linear programing voting behavior Argentina
Acceso en línea:	http://hdl.handle.net/20.500.12110/paper_02613794_v51_n_p38_Duran
Aporte de:	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

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spelling	todo:paper_02613794_v51_n_p38_Duran2023-10-03T15:12:29Z Improving access to voting with optimized matchings Durán, G. Giormenti, M. Guajardo, M. Pinto, P.M. Rey, P.A. Stier-Moses, N.E. Elections Geocoding Linear programming Queuing theory Voting costs accessibility cost analysis election electoral system linear programing voting behavior Argentina Research on political representation has traditionally focused on the design of electoral systems. Yet there is evidence that voting costs result in lower turnout and undermine voters’ confidence in the electoral system. Election administrators can selectively manipulate participation costs for different individuals and groups, leading to biased electoral outcomes. Quantifying the costs of voting and designing fair, transparent and efficient rules for voter assignment to polling stations are important for theoretical and practical reasons. Using analytical models, we quantify the differential costs of participation faced by voters, which we measure in terms of distance to polling stations and wait times to cast a vote. To estimate the model parameters, we use real-world data on the 2013 midterm elections in Argentina. The assignment produced by our model cut average voting time by more than 27%, underscoring the inefficiencies of the current method of alphabetical assignment. Our strategy generates better estimates of the role of geographical and temporal conditions on electoral outcomes. © 2017 Elsevier Ltd JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_02613794_v51_n_p38_Duran
institution	Universidad de Buenos Aires
institution_str	I-28
repository_str	R-134
collection	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic	Elections Geocoding Linear programming Queuing theory Voting costs accessibility cost analysis election electoral system linear programing voting behavior Argentina
spellingShingle	Elections Geocoding Linear programming Queuing theory Voting costs accessibility cost analysis election electoral system linear programing voting behavior Argentina Durán, G. Giormenti, M. Guajardo, M. Pinto, P.M. Rey, P.A. Stier-Moses, N.E. Improving access to voting with optimized matchings
topic_facet	Elections Geocoding Linear programming Queuing theory Voting costs accessibility cost analysis election electoral system linear programing voting behavior Argentina
description	Research on political representation has traditionally focused on the design of electoral systems. Yet there is evidence that voting costs result in lower turnout and undermine voters’ confidence in the electoral system. Election administrators can selectively manipulate participation costs for different individuals and groups, leading to biased electoral outcomes. Quantifying the costs of voting and designing fair, transparent and efficient rules for voter assignment to polling stations are important for theoretical and practical reasons. Using analytical models, we quantify the differential costs of participation faced by voters, which we measure in terms of distance to polling stations and wait times to cast a vote. To estimate the model parameters, we use real-world data on the 2013 midterm elections in Argentina. The assignment produced by our model cut average voting time by more than 27%, underscoring the inefficiencies of the current method of alphabetical assignment. Our strategy generates better estimates of the role of geographical and temporal conditions on electoral outcomes. © 2017 Elsevier Ltd
format	JOUR
author	Durán, G. Giormenti, M. Guajardo, M. Pinto, P.M. Rey, P.A. Stier-Moses, N.E.
author_facet	Durán, G. Giormenti, M. Guajardo, M. Pinto, P.M. Rey, P.A. Stier-Moses, N.E.
author_sort	Durán, G.
title	Improving access to voting with optimized matchings
title_short	Improving access to voting with optimized matchings
title_full	Improving access to voting with optimized matchings
title_fullStr	Improving access to voting with optimized matchings
title_full_unstemmed	Improving access to voting with optimized matchings
title_sort	improving access to voting with optimized matchings
url	http://hdl.handle.net/20.500.12110/paper_02613794_v51_n_p38_Duran
work_keys_str_mv	AT durang improvingaccesstovotingwithoptimizedmatchings AT giormentim improvingaccesstovotingwithoptimizedmatchings AT guajardom improvingaccesstovotingwithoptimizedmatchings AT pintopm improvingaccesstovotingwithoptimizedmatchings AT reypa improvingaccesstovotingwithoptimizedmatchings AT stiermosesne improvingaccesstovotingwithoptimizedmatchings
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Improving access to voting with optimized matchings

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