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Minnesotas Consumer Expenditure Survey Uses Phillip Anthony and - PowerPoint PPT Presentation

Minnesotas Consumer Expenditure Survey Uses Phillip Anthony and Paul Wilson Minnesota Department of Revenue Minnesota Department of Revenue Presentation at the CES Data Users Forum B Bureau of Labor Statistics f L b St ti ti June 21,


  1. Minnesota’s Consumer Expenditure Survey Uses Phillip Anthony and Paul Wilson Minnesota Department of Revenue Minnesota Department of Revenue Presentation at the CES Data Users’ Forum B Bureau of Labor Statistics f L b St ti ti June 21, 2010

  2. CE E CE Experience i  Minnesota has been producing an incidence study for nearly 20 years  My third year working with the PUMS data for the M thi d ki ith th PUMS d t f th Minnesota Department of Revenue  Seven years with the Nebraska Department of Revenue Seven years with the Nebraska Department of Revenue using aggregate data from CE

  3. O Our Audiences A di  Minnesota Government  Tax Committees  Legislative Research Office  Governor’s Commissions  Federation of Tax Administrators F d ti f T Ad i i t t

  4. P i Primary Topics T i  The incidence of sales and excise taxes in Minnesota for the Minnesota Tax Incidence Study  Policy analysis P li l i  Exemption Levels  Sales tax rebates  Incidence of Tax Exemptions

  5. Minnesota Tax Incidence Analysis Minnesota Tax Incidence Analysis  Geographic Level  National level data  Time Period  A combination of most recent three years PUMS files y  Data Files Used  Interview Data  Only consumer units that complete all the interviews  Only consumer units that complete all the interviews  FMLI and MTAB Files  Diary Data  FMLD and EXPD Files  Data is categorized into nine household types Single Seniors, Married Seniors, Singles, Married no children, Married one child,  Married two children Married three or more children Single one child Single two or Married two children, Married three or more children, Single one child, Single two or more children  No Topcoded records used in analysis

  6. Mi Minnesota Tax Incidence Report t T I id R t Taxes as a Percent of Income 25% 9% All Taxes All Taxes Total ETR = 8% General Sales 11.36% 20% 7% General Sales Total ETR = 6% 2.16% ral Sales 15% l Taxes 5% All 4% 4% Gene 10% 3% 2% 5% 1% 0% 0% 1 2 3 4 5 6 7 8 9 10 Deciles

  7. Analysis of Adding Legal Services to the Sales Tax Base Effective Tax Rates, Population Deciles 9.00% 0.10% General Sales Legal Services Suits = 0.290 0.09% 8.00% 0.08% 7.00% 0.07% 6.00% al Sales Tax 0.06% l Services 5.00% 0.05% Genera Legal 4.00% 0.04% 3.00% 0.03% 2.00% 2.00% 0.02% 1.00% 0.01% 0.00% 0.00% 1 2 2 3 3 4 5 6 7 8 8 9 9 10 0 Deciles

  8. Analysis of Adding Clothing to the Sales Tax Base Effective Tax Rates, Population Deciles 9.00% 1.00% General Sales Clothing Suits = ‐ 0.164 8.00% 0.80% 7.00% 6.00% Sales Tax Rate 0.60% 5.00% lothing General S Cl 4.00% 0.40% 3.00% 2.00% 0 20% 0.20% 1.00% 0.00% 0.00% 1 2 2 3 3 4 5 6 7 8 8 9 9 10 0 Deciles

  9. Ventura Sales Tax Refund Program FULL-YEAR RESIDENTS Joint and Head of Household Returns (and Qualifying Widow(er)s) 1999 Average Sales g Sales Tax Taxable Income Tax Burden Counts Rebate Total Rebate Less than $2,500 $ 575 29,760 $ 235 $ 6,993,600 2,500 - $ 4,999 715 32,546 292 $ 9,503,432 5,000 - 9,999 750 67,078 306 $ 20,525,868 10,000 - 14,999 826 64,143 337 $ 21,616,191 15,000 - 19,999 936 63,021 382 $ 24,074,022 20,000 - 24,999 1,012 64,862 413 $ 26,788,006 25,000 - 29,999 1,079 67,125 441 $ 29,602,125 30,000 - 34,999 1,172 67,594 479 $ 32,377,526 35,000 - 39,999 1,275 67,651 521 $ 35,246,171 40,000 - 44,999 1,384 65,549 565 $ 37,035,185 45 000 45,000 - 49,999 49 999 1 470 1,470 59 837 59,837 600 600 $ $ 35,902,200 35 902 200 50,000 - 59,999 1,506 97,223 615 $ 59,792,145 60,000 - 69,999 1,572 68,516 642 $ 43,987,272 70,000 - 79,999 1,711 46,082 699 $ 32,211,318 80,000 - 89,999 1,848 31,489 755 $ 23,774,195 90,000 - 99,999 2,001 22,018 817 $ 17,988,706 100,000 100 000 - 119 999 119,999 2 167 2,167 27 696 27,696 885 885 $ $ 24,510,960 24 510 960 120,000 - 139,999 2,374 16,132 969 $ 15,631,908 140,000 - 159,999 2,566 10,640 1,048 $ 11,150,720 160,000 - 179,999 2,747 7,225 1,122 $ 8,106,450 180,000 - 199,999 2,919 5,345 1,192 $ 6,371,240 200,000 - 399,999 3,733 19,245 1,524 $ 29,329,380 400 000 400,000 - - 599 999 599,999 4 912 4,912 4,687 4 687 2 006 2,006 $ $ 9,402,122 9 402 122 600,000 - 799,999 5,894 1,874 2,407 $ 4,510,718 800,000 - 999,999 6,757 976 2,759 $ 2,692,784 1,000,000and over 9,481 2,464 3,250 $ 8,008,000 Total 1,010,778 $ 577,132,244 Average $ 571

  10. Special Projects j  Geographic Level  National level and regional level data  Time Period Time Period  A combination of the most recent three years PUMS files  Data Files Used  EXPN Data  Interview Data  Only consumer units that complete all the interviews Only consumer units that complete all the interviews  FMLI and MTAB Files  Diary Data  FMLD and EXPD Files FMLD and EXPD Files  Data is categorized into nine household types Single Seniors, Married Seniors, Singles, Married no children, Married one child,  Married two children, Married three or more children, Single one child, Single two or , , g , g more children  No Topcoded records used in analysis

  11. H Heating Fuels Special Project ti F l S i l P j t  The current sales tax base exempts heating fuels during the heating season  Change from and outright exemption to exemption the first “X” Change from and outright exemption to exemption the first X dollars of heating expenditure during the heating season

  12. Diffi Difficulties and Concerns lti d C  Topcoding  20% of households in our incidence study have an income greater than $86,000 per year – 45% of total sales taxes dollars greater than $86,000 per year 45% of total sales taxes dollars  5% of households are over $175,000 per year - 20% of total sales taxes dollars  Spending on goods subject to excise taxes  Spending on goods subject to excise taxes  CE data does not provide data on volume of cigarettes or alcohol consumed  Small sample sizes  Small sample sizes  Some spending categories have a high percentage of households with zero spending in particular categories

  13. Hotel Expenditures by Senior Single Hotel Expenditures by Senior Single Households

  14. Difficulties and Concerns d C  Intrastate spending vs. interstate spending on travel expenditures  Data “Impenetrability” D t “I t bilit ”  Short lead times for projects  Other States may lack the technical abilities y

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