minnesota s consumer expenditure survey uses
play

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

Download Presentation
Download Policy: The content available on the website is offered to you 'AS IS' for your personal information and use only. It cannot be commercialized, licensed, or distributed on other websites without prior consent from the author. To download a presentation, simply click this link. If you encounter any difficulties during the download process, it's possible that the publisher has removed the file from their server.

Recommend


More recommend