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Real Personal Income and Regional Price Parities
Bettina Aten, Eric Figueroa, and Bryan Vengelen October 25, 2016
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Outline Overview Methodology Results and Applications
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Outline Overview Methodology Results and Applications
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Real Personal Income (PI)
Adjusted for price level differences: Across regions Over time Price adjustment uses: Regional Price Parities US Personal Consumption Expenditure (PCE) price index
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Regional Price Parities (RPPs)
Multilateral spatial price indexes measuring price level differences across regions for a specified period. Useful for comparing economic data such as consumption expenditures and income levels, e.g. BEAβs Personal Income series.
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2014 Regional Price Parities
Results: State RPPs in 2014 RPPs show percent difference in price levels: Across regions and expenditure categories For one specified time period Price level across all regions and expenditures equals 100. Selected States 2014 Regional Price Parities All Items Goods Services Rents Other Arkansas 87.5 95.1 62.5 93.5 California 112.4 103.0 147.7 105.6 Hawaii 116.8 108.9 158.4 103.6 Mississippi 86.7 94.4 63.2 93.4 New York 115.7 108.2 136.6 112.5 All States* 100.0 99.4 101.1 100.1 * Includes the District of Columbia
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2014 Regional Price Parities
Results: State RPPs in 2014 RPPs show percent difference in price levels: Price level in Arkansas is 12.5% lower than the national average. Price level in New York is 32.2% higher than in Arkansas. 87.5 / 100 = 0.875 115.7 / 87.5 = 1.322 Selected States 2014 Regional Price Parities All Items Goods Services Rents Other Arkansas 87.5 95.1 62.5 93.5 California 112.4 103.0 147.7 105.6 Hawaii 116.8 108.9 158.4 103.6 Mississippi 86.7 94.4 63.2 93.4 New York 115.7 108.2 136.6 112.5 All States* 100.0 99.4 101.1 100.1 * Includes the District of Columbia
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Price Adjustments Arkansas, 2014
Personal Income (billions) $111.5 Regional Price Parity PCE Price Index (2009 = 100) ππ ππ ππππ¬ = PI RPP βBalancing Factor = $ β0.998 =$πππ.π ππππ₯ ππ = PI at RPPs PCE Price Index = $ = $πππ.π ππ¦π©π₯π’ππ’π πππ π’π¨π§ππ₯ ππ«π’ππ ππππ₯πππ¨π« (ππππ) = PI Real PI = $111.5 $ = ππ.π
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Outline Overview Methodology Results and Applications
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Data Sources Bureau of Labor Statistics (BLS), Consumer Price Index program. Detailed expenditure categories Large sample : 200,000+ price observations per year Census Bureauβs, American Community Survey (ACS). Detailed rent price levels 500,000+ price observations per year
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Stage 1 Estimate price levels for BLS areas Methods: 38 urban areas
16 expenditure classes Methods: Hedonics and outlier review Multilateral aggregation
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Urban: 3 Nonmetro (by Region) Urban: 4 Small Metro (by Region)
4 Rural Regions Urban: 3 Nonmetro (by Region) Urban: 4 Small Metro (by Region) CPI Areas: 38 Urban, 4 Rural Urban: 31 Large Metro Areas d
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Expenditure classes 16 Expenditure classes
Later controlled to National PCE shares
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Stage 2 Estimate RPPs for Method: States, state portions, metro areas
All items, goods, rents, and other services Method: Allocate price levels and weights to counties Replace CPI rents weights with ACS based estimates Aggregated to states and metropolitan areas Replace CPI rents price levels with ACS based rents 2nd Multilateral Aggregation
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Outline Overview Methodology Results and Applications
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Southeast Region Plains Region Mideast Region State detailed RPPs State rent and other services RPPs State rent RPPs State all items RPPs
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Real per capita personal income
Plains real per capita personal income Southeast real per capita personal income Mideast real per capita personal income Real per capita personal income
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Real personal income for Metro Areas
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Applications Analysis of real regional income
Adjustment of other consumption related data PCE-by-State Supplemental Poverty Measures In collaboration with Census Bureau ( ) Outside Research
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Summary RPPs measures price level differences across regions
Combine with US PCE price index to estimate differences across time Application allows estimation of real income levels and change Data Available:
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Contact Information RPP Program: (301) Bryan Vengelen Regional Prices Branch Bureau of Economic Analysis (301)
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