indicators of saving earned income tax credit recipients in the twin cities of minnesota leo t....
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Indicators of Saving Earned Income Tax Credit
Recipients in the Twin Cities of Minnesota
Leo T. GabrielAssociate Professor of Business
Bethel University
Presentation for the MN Saves Network Sept. 13, 2007
Problem
Literature indicates that low-income workers, which includes Earned Income Tax Credit (EITC) recipients, do not have adequate savings to meet long-term needs as suggested by economic theory.
Research Questions
1. What factors contribute to saving in financial assets for EITC recipients in the Twin Cities of Minnesota?
2. Is there a positive association between tax refund amounts and intending to save tax refunds?
Results—Research Question 1
What factors contribute to saving in financial assets for EITC recipients in the Twin Cities of Minnesota? Income Banked Race Marriage
Results—Research Question 2
Is there a positive association between tax refund amounts and intending to save tax refunds?
There is no association between tax refund amounts and intending to save tax refunds.
Results There was a low percentage of savers in this
study. Factors that contribute to a low percentage of
savers: High percentage of families with income below
the poverty threshold (66%) High percentage of unbanked families (26%) High percentage of Black families (46%).
Conclusions Literature suggests that institutional theory
explains saving behavior in low-income families: Access to financial institutions Incentives Financial education Facilitation of savings
Literature: Earned Income Tax CreditHistory of EITC Growth of the EITC
(Ventry, 2000)
Consumption of EITC Refunds Durable goods (Barrow &
McGanahan, 2000) 70% consumed
immediately (Edwards, 2004)
Literature: Earned Income Tax Credit
Banked ShoreBank saving program
(Beverly et al., 2004)
Savings Economic & social
mobility (Smeeding et al., 2000)
Lump sum refund (Romich & Weisner, 2000)
Literature: Saving Theory (LCH)Life-Cycle Hypothesis
(Modigliani & Brumberg, 1954; Friedman, 1957)
Dominate theory in saving literature
Economic theory predicts that individuals will save for income over their life span.
Income, age, uncertainty, family composition, taxes, and rates of return are factors.
Literature: Saving Theory (Institutional)
Institutional Theory (Sherraden, 1991)(Beverly & Sherraden, 1999)
Suggests that institutions are factors in saving decisions.
Institutional factors Access Incentives Financial education Facilitation
Literature: Tax Policies Reduction of saving disincentives (1996)
Individual Development Accounts (1998)
Retirement savings credit (2001)
State-level EITCs (1998- )
Knowledge of Saving-Low IncomeDecision to save in financial assets
(Carney & Gale, 2001)
Determinants Income Age Education Marital status Employment status Public assistance Race Banked
Current TrendsBanking
Efforts to provide bank accounts for low income families.
Efforts encouraging direct deposit of tax refunds.
Research Methodology—Data Data set from AccountAbility Minnesota (AAM)
Data set includes 2004 tax return data and responses to survey questions A sample of over 700 participants Criteria for selection:
Completed survey questions Positive tax refund Electronically filed tax returns Tax returns accepted by IRS and MN Department of Revenue
Question 1: What factors contribute to saving decisions?
Dependent Variable (binary): Indicator of savings in financial assets (saver=1, nonsaver=0). Evidence of saving: interest income, dividend income, capital
gains/losses, IRA contributions, or retirement savings credit.
Independent Variables: Income (three income groups) Age (three age groups) Bank Account Race (Black, Hispanic, White, Other) Public Assistance (0-5) Marital Status (married or single) Family Size (0-8)
Question 1: What factors contribute to saving decisions?
Indicator of Saving in Financial Assets
Cases Percentage
Savers
Interest Income 77 10.3%
Dividend Income 20 2.7%
Capital Gain/Loss 13 1.7%
Individual Retirement Account 2 0.3%
Retirement Saving Credit 39 5.2%
Total Indicators 151
Question 1: What factors contribute to saving decisions?
Income Groups for Savings in Financial Assets
Income Group (as a % of poverty)
Savers (%)
Less 100% 9.9%
100-150% 24.8%
Over 150% 31.1%
Question 1: What factors contribute to saving decisions?
Age Groups for Savings in Financial Assets
Age Group
Savers (%)
Under 35 13.2%
35-50 18.9%
Over 50 15.9%
Question 1: What factors contribute to saving decisions?
Banked Participants for Savings in Financial Assets
Savers (%)
Banked 20.5%
Not Banked 3.6%
Question 1: What factors contribute to saving decisions?
Racial Groups for Savings in Financial Assets
Racial Group
Savers (%)
Black 12.0%
Hispanic 15.1%
Other 14.8%
White 21.9%
Question 1: What factors contribute to saving decisions?
Marital Status for Savings in Financial Assets
Savers (%)
Married 31.6%
Single 14.8%
Question 1: What factors contribute to saving decisions? Logistic Regression Results
Families with income between 100-150% of poverty were 2.3 times more likely to save than families with income below the poverty threshold.
Families with income greater than 150% of the poverty threshold were 3.8 times more likely to save than families with income below the poverty threshold.
Question 1: What factors contribute to saving decisions? Logistic Regression Results
Families with bank accounts were 4.5 times more likely to save than families without bank accounts.
When four outliers were removed from the data, families with bank accounts were 8 times more likely to save than families without bank accounts.
Question 1: What factors contribute to saving decisions? Significant Regression Results
Families who identified themselves as White were 2 times more likely to save than families that identified themselves as Black (African or African-American).
Question 2: Is there a positive association between tax refund amounts and intending to save tax refunds?
Variables
Dependent Variable (binary): Indicator of saving tax refund (saver=1, nonsaver=0) Evidence of saving: Participants indicating that the most
important thing that they will do with their tax refunds is save it.
Independent Variables: Combined federal and state income tax refund amount. Income, Age, Bank Account, Race, Public Assistance,
Marital Status, Family Size
Question 2: Is there a positive association between tax refund amounts and intending to save tax refunds?
Indicator of Saving Tax Refund
Percentage
Savers 7.0%
Nonsavers 93.0%
Question 2: Is there a positive association between tax refund amounts and intending to save tax refunds?
Tax Refund Amount
Savers
Refund Amount Nonsavers
Refund Amount Mean $2,495 $2,590 Std. Deviation $2,164 $2,156
Question 2: Is there a positive association between tax refund amounts and intending to save tax refunds?
Tax Refund Amount Frequency
Refund Amount Savers
(%) Total
(cases) Less $1000 6.96% 273 $1000-1999 9.62% 104 $2000-2999 5.26% 57 $3000-3999 2.97% 101 $4000-4999 6.02% 83 $5000-5999 14.29% 70 $6000-6999 2.94% 34 $7000-7999 5.00% 20 $8000-8999 0.00% 3 $9000 or more 0.00% 1
Conclusions Life-cycle hypothesis continues as the
dominate theory in saving literature. Institutional theory is becoming more
prominent, especially in low-income saving literature: Access to financial institutions Incentives Financial education Facilitating savings
Limitations This study does not establish a causal
relationship between saving and predictor variables.
Limitations Tax return data limits this study. Tax return data does not capture all factors
that contribute to saving decisions. Other factors
Education Work status Home ownership Credit history
Further Research Linking EITC refunds with saving incentive
programs, such as an IDA.
Evaluating programs offering bank accounts to EITC recipients.
Discussion and Questions