BS Summary: This article contains 18 faulty reasoning types, including Availability Heuristic, Negativity Bias, and Hasty Generalization, with Biased Writer Voice as the most egregious example at 33.2% saturation with 77 hits. Analysis detected 609 faulty-reasoning hits from 232 analyzed words, generating a BS Score of 48.7% and a BS Rank of 61% (11,680 of 29,424 articles). This article is worse (more manipulative) than 60.30% of the article peer group.
Advancing Economic Mobility Through Savings
November 24, 2009
Reid Cramer
Rourke OBrien
Daniel Cooper (Federal Reserve Bank of Boston), Maria Luengo-Prado (Northeastern University)
As the saying goes, “A penny saved is a penny earned,” but does that penny saved translate into greater economic mobility?
Movement up the income ladder is fairly limited for children of low-income parents—42 percent of children born to parents on the bottom rung of the income ladder remain on the bottom rung a generation later.i To date, however, there has been less analysis that shows clearly how income mobility differs based on one’s own or one’s parents’ level of savings.
This paper clearly demonstrates the relationship between savings and economic mobility.
Using data from the Panel Study of Income Dynamics (PSID), the paper first explores whether having parents with high savings (i.e., above median savings) or having high savings oneself, improves one’s chances of making the climb up the income ladder, or prevents one from falling down it.
Second, it examines federal incentives and disincentives to savings in the federal tax code and public assistance programs.
And third, consistent with the project’s recently released nonpartisan policy road map to enhance mobility, it makes recommendations on ways public policy can be improved to encourage savings, especially among low- and moderate-income families.
To read the entire paper, click here.
Attachments:
EMP Savings Reports (pdf)
Speakers
3speakers6.5%attributed speech217writer words
Selected voice
100%flagged-word coverageDaniel Cooper (Federal Reserve Bank of Boston)
11 attributed words73% of attributed speech88% writer coverage
Attribution is sentence-level. Pattern percentages are calculated only from words assigned to that voice.
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Analysis
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