{"title":"通过纵向聚类分析评估议价与合作:来自实验室实地实验的证据","authors":"Edgardo Bucciarelli , Aurora Ascatigno","doi":"10.1016/j.seps.2025.102239","DOIUrl":null,"url":null,"abstract":"<div><div>This study investigates human economic behaviour through longitudinal clustering methods applied to lab-in-the-field experimental data. The experimental design combines the ultimatum game and the public goods game, which are widely used to examine behaviours in both the private and public sectors. To reproduce a more realistic scenario involving bargaining, resource inequality, and cooperation, the final payoffs from 30 rounds of the ultimatum game were used as initial endowments in the subsequent public goods game. The Gini coefficient illustrates how the ultimatum game generates imbalances, thereby providing an experimental foundation for studying resource inequality. Participants endowed with greater resources contributed proportionately larger amounts. Over time, contributions declined across all groups, reaching similar levels despite persistent resource inequalities at the start of the public goods game. The behavioural trajectories were analysed using k-means longitudinal clustering (KML) and growth mixture modelling (GMM). In the ultimatum game, proposers were classified into two categories: Those who consistently tended to make fair offers and those offering smaller amounts. The responders exhibited considerable heterogeneity, with unexpectedly high acceptance rates for relatively unfair offers. Two distinct contribution trajectories were identified in the public goods game. One group contributed a more significant proportion of their endowment than the mean, while the other contributed less. A joint trajectory analysis revealed consistent behavioural pathways observed in the two games. Proposers who made more equitable offers in the ultimatum game were likelier to contribute a greater proportion of their endowment in the subsequent public goods game. Ultimatum game data showed significant behavioural heterogeneity, while public goods game contributions averaged around 40 per cent with notable uniformity. Cooperative behaviour persisted regardless of initial endowment size or ultimatum game decisions, with notable differences across academic backgrounds.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"100 ","pages":"Article 102239"},"PeriodicalIF":6.2000,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Assessing bargaining and cooperation through longitudinal clustering analysis: Evidence from a lab-in-the-field experiment\",\"authors\":\"Edgardo Bucciarelli , Aurora Ascatigno\",\"doi\":\"10.1016/j.seps.2025.102239\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This study investigates human economic behaviour through longitudinal clustering methods applied to lab-in-the-field experimental data. The experimental design combines the ultimatum game and the public goods game, which are widely used to examine behaviours in both the private and public sectors. To reproduce a more realistic scenario involving bargaining, resource inequality, and cooperation, the final payoffs from 30 rounds of the ultimatum game were used as initial endowments in the subsequent public goods game. The Gini coefficient illustrates how the ultimatum game generates imbalances, thereby providing an experimental foundation for studying resource inequality. Participants endowed with greater resources contributed proportionately larger amounts. Over time, contributions declined across all groups, reaching similar levels despite persistent resource inequalities at the start of the public goods game. The behavioural trajectories were analysed using k-means longitudinal clustering (KML) and growth mixture modelling (GMM). In the ultimatum game, proposers were classified into two categories: Those who consistently tended to make fair offers and those offering smaller amounts. The responders exhibited considerable heterogeneity, with unexpectedly high acceptance rates for relatively unfair offers. Two distinct contribution trajectories were identified in the public goods game. One group contributed a more significant proportion of their endowment than the mean, while the other contributed less. A joint trajectory analysis revealed consistent behavioural pathways observed in the two games. Proposers who made more equitable offers in the ultimatum game were likelier to contribute a greater proportion of their endowment in the subsequent public goods game. Ultimatum game data showed significant behavioural heterogeneity, while public goods game contributions averaged around 40 per cent with notable uniformity. Cooperative behaviour persisted regardless of initial endowment size or ultimatum game decisions, with notable differences across academic backgrounds.</div></div>\",\"PeriodicalId\":22033,\"journal\":{\"name\":\"Socio-economic Planning Sciences\",\"volume\":\"100 \",\"pages\":\"Article 102239\"},\"PeriodicalIF\":6.2000,\"publicationDate\":\"2025-05-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Socio-economic Planning Sciences\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0038012125000886\",\"RegionNum\":2,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Socio-economic Planning Sciences","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0038012125000886","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
Assessing bargaining and cooperation through longitudinal clustering analysis: Evidence from a lab-in-the-field experiment
This study investigates human economic behaviour through longitudinal clustering methods applied to lab-in-the-field experimental data. The experimental design combines the ultimatum game and the public goods game, which are widely used to examine behaviours in both the private and public sectors. To reproduce a more realistic scenario involving bargaining, resource inequality, and cooperation, the final payoffs from 30 rounds of the ultimatum game were used as initial endowments in the subsequent public goods game. The Gini coefficient illustrates how the ultimatum game generates imbalances, thereby providing an experimental foundation for studying resource inequality. Participants endowed with greater resources contributed proportionately larger amounts. Over time, contributions declined across all groups, reaching similar levels despite persistent resource inequalities at the start of the public goods game. The behavioural trajectories were analysed using k-means longitudinal clustering (KML) and growth mixture modelling (GMM). In the ultimatum game, proposers were classified into two categories: Those who consistently tended to make fair offers and those offering smaller amounts. The responders exhibited considerable heterogeneity, with unexpectedly high acceptance rates for relatively unfair offers. Two distinct contribution trajectories were identified in the public goods game. One group contributed a more significant proportion of their endowment than the mean, while the other contributed less. A joint trajectory analysis revealed consistent behavioural pathways observed in the two games. Proposers who made more equitable offers in the ultimatum game were likelier to contribute a greater proportion of their endowment in the subsequent public goods game. Ultimatum game data showed significant behavioural heterogeneity, while public goods game contributions averaged around 40 per cent with notable uniformity. Cooperative behaviour persisted regardless of initial endowment size or ultimatum game decisions, with notable differences across academic backgrounds.
期刊介绍:
Studies directed toward the more effective utilization of existing resources, e.g. mathematical programming models of health care delivery systems with relevance to more effective program design; systems analysis of fire outbreaks and its relevance to the location of fire stations; statistical analysis of the efficiency of a developing country economy or industry.
Studies relating to the interaction of various segments of society and technology, e.g. the effects of government health policies on the utilization and design of hospital facilities; the relationship between housing density and the demands on public transportation or other service facilities: patterns and implications of urban development and air or water pollution.
Studies devoted to the anticipations of and response to future needs for social, health and other human services, e.g. the relationship between industrial growth and the development of educational resources in affected areas; investigation of future demands for material and child health resources in a developing country; design of effective recycling in an urban setting.