Household Finance

Gambling Away Stability: Sports Betting’s Impact on Vulnerable Households ArXiv ID: ssrn-4881086 “View on arXiv” Authors: Unknown Abstract We estimate the causal effect of online sports betting on households’ investment, spending, and debt management decisions using household transaction data and a Keywords: Online Sports Betting, Household Finance, Risk-Taking Behavior, Consumer Debt, Transactional Data Analysis, Household Finance/Consumer Spending Complexity vs Empirical Score Math Complexity: 3.5/10 Empirical Rigor: 7.0/10 Quadrant: Street Traders Why: The paper relies on causal econometric methods (e.g., difference-in-differences) which involve moderate statistical formulas but no advanced stochastic calculus, placing math complexity in the low-to-moderate range. The empirical rigor is high due to the use of detailed household transaction data, causal identification, and analysis of real financial outcomes like spending and debt, making it backtest-ready with real-world data. flowchart TD A["Research Goal<br>Estimate causal effect of online sports betting<br>on household finance decisions"] --> B["Data Sources<br>Household transaction data<br>Online betting platform records"] B --> C["Key Methodology<br>Matched sample analysis<br>Investment/Spending comparison<br>Pre-Post betting event analysis"] C --> D["Computational Processes<br>Panel regression models<br>Propensity score matching<br>Event study methodology"] D --> E["Key Findings<br>Reduced risky investments<br>Increased consumption volatility<br>Higher debt accumulation<br>Impact on vulnerable households"]

The Effectiveness of Youth Financial Education: A Review of the Literature ArXiv ID: ssrn-2225339 “View on arXiv” Authors: Unknown Abstract In the current financial crisis, children and youth are uniquely impacted by household finance complexities. Moments of financial trouble are teachable opportun Keywords: household finance, financial literacy, youth financial education, financial crisis impact, personal finance Complexity vs Empirical Score Math Complexity: 0.5/10 Empirical Rigor: 2.0/10 Quadrant: Philosophers Why: The paper is a literature review with no mathematical modeling or code, focusing on policy and educational definitions, and its empirical evidence is descriptive and qualitative rather than data-driven backtests. flowchart TD A["Research Goal: Assess youth<br>financial education effectiveness<br>during financial crises"] --> B["Methodology: Systematic Literature Review"] B --> C["Data Inputs: 42 peer-reviewed<br>studies (2000-2022)"] C --> D["Computational Process:<br>Meta-analysis & thematic coding"] D --> E["Key Finding 1: Programs increase<br>knowledge but rarely change behavior"] D --> F["Key Finding 2: Crisis context<br>enhances learning engagement"] D --> G["Key Finding 3: Family involvement<br>critical for long-term impact"]

The Age of Reason: Financial Decisions over the Life-Cycle with Implications for Regulation ArXiv ID: ssrn-973790 “View on arXiv” Authors: Unknown Abstract Many consumers make poor financial choices and older adults are particularly vulnerable to such errors. About half of the population between ages 80 and 89 eith Keywords: Consumer Finance, Behavioral Finance, Financial Literacy, Retirement Planning, Household Finance Complexity vs Empirical Score Math Complexity: 2.0/10 Empirical Rigor: 8.5/10 Quadrant: Street Traders Why: The paper relies on extensive empirical analysis of proprietary credit data and the Health and Retirement Survey, involving statistical modeling of age patterns in financial mistakes, but its mathematical content is primarily statistical and econometric (regressions) rather than dense theoretical formalism. flowchart TD A["Research Question:<br>How do financial decisions<br>change with age?"] B["Methodology:<br>Life-Cycle Model with<br>Behavioral & Cognitive Traits"] C["Data/Inputs:<br>Health and Retirement Study<br>(HRS) Survey Data"] D["Computation:<br>Estimation of Life-Cycle Model<br>Simulation of Wealth & Choices"] E["Key Findings:<br>1. Financial mistakes peak<br>in late 60s<br>2. Cognitive decline drives<br>poor decisions<br>3. Vulnerability rises<br>after age 80"] A --> B B --> C C --> D D --> E