A survey result of experiment of non proportional reasoning

Data Generation ProceduresThe data for this study was generated through a survey experiment designed to assess how participants evaluate stock risk based on nominal price changes. Participants were randomly assigned to one of four questionnaires, each presenting a hypothetical scenario involving a stock whose price had declined by 25%. The stocks were priced at $2,000, $200, $20, and $2. This setup allowed the researchers to observe how the nominal price influenced participants’ perceptions of risk and their likelihood to sell the stock. The survey included questions about participants’ risk assessments and their decisions regarding selling shares after being informed of the price decline. The data collection involved online survey tools, ensuring a diverse participant pool. Temporal and Geographical ScopeThe survey was conducted in September and December 2022. The geographical scope primarily encompasses participants from various regions in the USA. Tabular Data DescriptionThe survey results were compiled into tabular data containing several entries corresponding to each participant’s responses—the total number of data entries was 632. Row and Column Headers: Each row represents an individual participant’s response with their Participant ID, while columns include variables tested. Variables reported in the data: Variable Description Respondent ID Random number of the respondent’s randomly assigned ID Gender Male=0, Female=1. Region The location of the respondent:  Middle Atlantic, West North Central,  New England,  South Atlantic,  Mountain,  West South Central,  Pacific,  East North Central,  East South Central   Age Age Groups are divided into four, numbered from 1 to 4, respectively: 18-29, 30-44, 45-60, and 60 and older. Stock Price: Q_2,Q_20,Q_200,Q_2000 Participants were randomly assigned a questionnaire and were asked about the stocks of $2, $20, $200, and $2,000. To construct this variable, it has four values range from 1 to 4, in which (1) $2; (2) $20; (3) $200; (4) $2,000. Income Reported annual income is divided into income groups from 1 to 8. Risk appetite/ Self-assessment of risk-taking behavior Participants were asked how much of a risk taker they consider themselves to be on a scale of 1 (risk averse) to 10 (risk lover). TraderD Participants were asked if they trade stocks or bonds and, if so, how often; the possible answers were, from 1 to 4, respectively: Trade regularly (daily or weekly[1]), trade a few times a month, rarely (a few times a year at most), or have never traded before. Follow news People were asked if they follow stock-related news and stock or bond price changes, and if so, how often. The possible responses were divided into five: I never follow news related to stocks or stock indices=1; Occasionally, a few times a year=2; Sometimes, a few times a month =3; Often, a few times a week=4; Always, daily=5. Risk Participants were asked about how risky they think the stock is on a scale of 1 (not risky) to 7 (high risk) Percent Sold Participants were asked how many shares they would sell due to the stock decline. Based on the answer, I calculated the percentage of stocks they sold out of their portfolio. Sold Based on the same question from the previous variable, I constructed another variable with the values of (1) for those who sold at least 10% of their portfolio and (0) otherwise. In some cases, the respondents answered they would purchase more stocks; in those few cases, I assumed their response was zero.  Missing DataA few respondents skipped questions or provided incomplete answers. If present, missing data were excluded from the analysis. Description of Each Data FileThe primary data file generated from this study was structured as an Excel file containing all participant responses. Content: The file includes columns for participant demographics, stock prices presented, risk assessments, selling decisions, and number of shares sold.Format: Excel.Size: 64 kb. [1] In some questionnaires I divided this answer into daily or weekly to allow more variability, however, since the number of answers for “daily”, when constructing this variable and combined the responses from daily and weekly together.