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

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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,


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SLIDE 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 f L b St ti ti Bureau of Labor Statistics June 21, 2010

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SLIDE 2

CE E i CE Experience

 Minnesota has been producing an incidence study for

nearly 20 years M thi d ki ith th PUMS d t f th

 My third year working with the PUMS data for the

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

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SLIDE 3

O A di Our Audiences

 Minnesota Government

 Tax Committees  Legislative Research Office  Governor’s Commissions

F d ti f T Ad i i t t

 Federation of Tax Administrators

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SLIDE 4

P i T i Primary Topics

 The incidence of sales and excise taxes in Minnesota for

the Minnesota Tax Incidence Study P li l i

 Policy analysis

 Exemption Levels  Sales tax rebates  Incidence of Tax Exemptions

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SLIDE 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

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 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

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SLIDE 6

Mi t T I id R t Minnesota Tax Incidence Report

Taxes as a Percent of Income

7% 8% 9% 20% 25%

All Taxes General Sales All Taxes Total ETR = 11.36%

4% 5% 6% 15% ral Sales l Taxes

General Sales Total ETR = 2.16%

2% 3% 4% 5% 10% Gene All 0% 1% 0% 1 2 3 4 5 6 7 8 9 10 Deciles

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SLIDE 7

Analysis of Adding Legal Services to the Sales Tax Base

0.10% 9.00%

Effective Tax Rates, Population Deciles

0.08% 0.09% 7.00% 8.00% General Sales Legal Services Suits = 0.290 0.05% 0.06% 0.07% 5.00% 6.00% l Services al Sales Tax 0.03% 0.04% 2.00% 3.00% 4.00% Legal Genera 0.00% 0.01% 0.02% 0.00% 1.00% 2.00% 2 3 8 9 1 2 3 4 5 6 7 8 9 10 Deciles

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SLIDE 8

Analysis of Adding Clothing to the Sales Tax Base

1.00% 9.00%

Effective Tax Rates, Population Deciles

0.80% 7.00% 8.00% General Sales Clothing Suits = ‐0.164 0.60% 5.00% 6.00% lothing Sales Tax Rate 0 20% 0.40% 2.00% 3.00% 4.00% Cl General S 0.00% 0.20% 0.00% 1.00% 2 3 8 9 1 2 3 4 5 6 7 8 9 10 Deciles

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SLIDE 9

Ventura Sales Tax Refund Program

FULL-YEAR RESIDENTS

Joint and Head of Household Returns

(and Qualifying Widow(er)s) 1999 Average Sales Sales Tax g 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 49 999 1 470 59 837 600 $ 35 902 200 45,000

  • 49,999

1,470 59,837 600 $ 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 $ 17,988,706 100 000 119 999 2 167 27 696 885 $ 24 510 960 100,000

  • 119,999

2,167 27,696 885 $ 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

  • 599 999

4 912 4 687 2 006 $ 9 402 122 400,000

  • 599,999

4,912 4,687 2,006 $ 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

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SLIDE 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

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SLIDE 11

H ti F l S i l P j t Heating Fuels Special Project

 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

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SLIDE 12

Diffi lti d C Difficulties and Concerns

 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

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SLIDE 13

Hotel Expenditures by Senior Single Hotel Expenditures by Senior Single Households

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SLIDE 14

d C

Difficulties and Concerns

 Intrastate spending vs. interstate spending on travel

expenditures D t “I t bilit ”

 Data “Impenetrability”

 Short lead times for projects  Other States may lack the technical abilities

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