Title |
A Review of Consequences of Poverty on Economic Decision-Making: A Hypothesized Model of a Cognitive Mechanism
|
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Published in |
Frontiers in Psychology, October 2017
|
DOI | 10.3389/fpsyg.2017.01784 |
Pubmed ID | |
Authors |
Matúš Adamkovič, Marcel Martončik |
Abstract |
This review focuses on the issue of poverty affecting economic decision-making. By critically evaluating existing studies, the authors propose a structural model detailing the cognitive mechanism involved in how poverty negatively impacts economic decision-making, and explores evidence supporting the basis for the formation of this model. The suggested mechanism consists of a relationship between poverty and four other factors: (1) cognitive load (e.g., experiencing negative affect and stress); (2) executive functions (e.g., attention, working memory, and self-control); (3) intuition/deliberation in decision-making; and (4) economic decision-making (e.g., time-discounting and risk preference), with a final addition of financial literacy as a covariate. This paper focuses on shortfalls in published research, and delves further into the proposed model. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 10 | 31% |
United Kingdom | 2 | 6% |
Netherlands | 1 | 3% |
Czechia | 1 | 3% |
France | 1 | 3% |
Germany | 1 | 3% |
Mexico | 1 | 3% |
Brazil | 1 | 3% |
Switzerland | 1 | 3% |
Other | 0 | 0% |
Unknown | 13 | 41% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 24 | 75% |
Scientists | 5 | 16% |
Science communicators (journalists, bloggers, editors) | 2 | 6% |
Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 218 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 37 | 17% |
Student > Ph. D. Student | 36 | 17% |
Researcher | 27 | 12% |
Student > Bachelor | 25 | 11% |
Student > Doctoral Student | 15 | 7% |
Other | 37 | 17% |
Unknown | 41 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 55 | 25% |
Economics, Econometrics and Finance | 29 | 13% |
Social Sciences | 28 | 13% |
Business, Management and Accounting | 8 | 4% |
Decision Sciences | 7 | 3% |
Other | 32 | 15% |
Unknown | 59 | 27% |