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Searching for Homo Economicus

Variation in Americans’ Construals of and Attitudes toward Markets

Published online by Cambridge University Press:  21 February 2018

Paul DiMaggio
Affiliation:
New York University [pd1092@nyu.edu]
Amir Goldberg
Affiliation:
Stanford University [amirgo@stanford.edu]

Abstract

Economic sociologists agree that economic rationality is constructed and that morality and economic interests intersect. Yet we know little about how people organize economic beliefs or judge the morality of markets. We use Relational Class Analysis to identify three subsets of respondents whose members construe economic markets in distinct ways. Subsamples display more structure than the full sample in associations among attitudes, and between attitudes and sociodemographic predictors. The economically advantaged favor market solutions in each subset, but religious and political identities, respectively, predict pro-market views uniquely in subsamples that construe markets through a religious or political lens. Results illustrate the value of distinguishing between construals and positions, and of examining population heterogeneity in opinion data. Self-interest drives faith in markets, but only when people construe markets in ways consistent with their religious and political faiths.

Résumé

Les sociologues économiques admettent que la rationalité économique est construite et que moralité et intérêts économiques interfèrent fréquemment. Pourtant, nous savons peu de choses sur la façon dont les gens organisent leurs croyances économiques ou jugent la moralité des marchés. Nous utilisons l’analyse de classes relationnelles pour identifier trois sous-ensembles de répondants dont les membres interprètent les marchés économiques de manière distincte. Ces sous-échantillons manifestent davantage de structure que l’échantillon complet du point de vue des associations entre les attitudes, et entre les attitudes et les prédicteurs sociodémographiques. Celui qui est économiquement avantagé tend toujours à favoriser les solutions de marché, mais des identités religieuses et politiques tendent à prédire des vues pro marchés uniquement dans les sous-ensembles dans lesquels les marchés sont interprétés à partir d’une optique religieuse ou politique. Les résultats illustrent l’intérêt de distinguer les interprétations (« construals ») et les positions et d’examiner l’hétérogénéité des populations dans les données d’opinion. L’intérêt personnel stimule la confiance dans les marchés, mais seulement lorsque les gens interprètent les marchés d’une manière conforme à leurs croyances religieuses et politiques.

Zusammenfassung

Wie auch Wirtschaftssoziologen zugeben, ist die wirtschaftliche Rationalität ein Konstruktion und überschneiden sich Moral und wirtschaftliche Interessen häufig. Und dennoch wissen wir wenig über die Art und Weise, wie sich Menschen ein wirtschaftliches Urteil bilden oder die Moral der Märkte beurteilen. Die drei durch das Relationenmodell identifizierten Untergruppen von Antworten verdeutlichen, dass ihre jeweiligen Träger die wirtschaftlichen Märkte auf ganz unterschiedliche Weise beurteilen. Was die Zusammenhänge zwischen den Verhaltensweisen angeht, sowie zwischen den Verhaltensweisen und den soziodemographischen Prädikatoren, sind diese Untergruppen feiner strukturiert, als die untersuchte Gruppe insgesamt. Wirtschaftlich bevorteilte Menschen bevorzugen immer Marktlösungen, während religiöse und politische Identitäten nur in den Untergruppen eine positive Markteinstellung entwickeln, die eine religiöse oder politische Option beinhalten. Die Untersuchungsergebnisse verdeutlichen, wie wichtig eine Differenzierung zwischen Interpretationen (“construals”) und Positionen ist und weshalb bei Umfragedaten die Heterogenität der Bevölkerungen zu berücksichtigen ist. Durch persönliches Interesse entsteht Vertrauen in Märkte, jedoch nur wenn die Menschen die Märkte ihren religiösen und politischen Überzeugungen entsprechend interpretieren.

Information

Type
Research Article
Copyright
Copyright © A.E.S. 2018 
Figure 0

Table 1 Economic attitude variables*

Figure 1

Figure 1 Full sample statistics. On the left, the distribution of the Homo Economicus standardized scale. On the right, correlations between the seven attitudinal variables comprising the scale. Significant correlations are represented by a plus/minus sign, indicating correlation direction. Shades correspond to correlation strength

Figure 2

Table 2 Multivariate OLS model of the Homo Economicus scale

Figure 3

Figure 2 Illustration of four hypothetical respondents. The top row illustrates their responses, and the bottom row their resultant association matrices. The network on the right illustrates the proximities between these association matrices. Edge widths correspond to degree of proximity

Figure 4

Figure 3 Attitude correlations in each of the groups produced by RCA. Significant correlations are represented by a plus/minus sign, indicating correlation direction. Shades correspond to correlation strength

Figure 5

Figure 4 Distributions of scales produced for each class based on principal component analyses. Dark bars correspond to the distribution in the respective RCA group, and white bars to the distribution in the remainder of the sample

Figure 6

Figure 5 Risk ratios (exponentiated multinomial logistic regression coefficients) and 95% confidence intervals of being assigned to one of the three pro-market subclasses (color coded shapes), relative to assignment into their respective anti-market subclasses, as a function of a one unit increase in sociodemographic variables (y-axis). Light lines with empty shapes represent ratios that are insignificantly different from 1. The x-axis is logarithmically scaled

Figure 7

Figure 6 Marginal effects of Religious Attendance, Political Ideology and Political Partisanship on the probability of assignment into the three pro-market subclasses, as estimated by a multinomial logistic model. Thick lines correspond to main effects (and are styled by subclass), and thin lines outline 95% confidence intervals. Intervals are shaded when the effect is statistically significant

Figure 8

Figure 7 Risk ratios and 95% confidence intervals of being assigned to one subclass, relative to another, as a function of a one unit increase in sociodemographic variables (y-axis). Shapes and shades correspond to different subclass pairs. Left panel compares pro-market subclasses to one another, right panel compares anti-market subclasses. Light lines with empty shapes represent ratios that are insignificantly different from 1. The x-axis is logarithmically scaled

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