Development of NTA (National Transfer Accounts) Sang-Hyop Lee - - PowerPoint PPT Presentation

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Development of NTA (National Transfer Accounts) Sang-Hyop Lee - - PowerPoint PPT Presentation

Development of NTA (National Transfer Accounts) Sang-Hyop Lee University of Hawaii at Manoa East-West Center November 13, 2014 NTA 10, Beijing, PRC I O L R S F E R C C O U S N I O N L R N S F E R C C O U N S N T I O N L T R


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Development of NTA (National Transfer Accounts)

Sang-Hyop Lee University of Hawaii at Manoa East-West Center

November 13, 2014 NTA 10, Beijing, PRC

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I O L R S F E R C C O U S

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N I O N L R N S F E R C C O U N S

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N T I O N L T R N S F E R C C O U N T S

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N A T I O N A L T R A N S F E R A C C O U N T S

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Two Directors

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Key Issues

  • How population change influences the

economy and society (current and future)

  • What policies can be pursued to influence the
  • utcome—research provides policy tools!
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National Transfer Accounts

  • The goal is to improve our understanding of the

generational economy

  • Describes the age patterns of economic activity and

the economic relations between the generations

  • Quantifies how each age group acquires and uses

economic resources

  • Constructed using existing data (population

estimates, surveys, administrative records, macroeconomic data)

  • Consistent with UN System of National Accounts.
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Many Offspring (TFR=over 100)

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NTA is comparative: Regional structure

NTA Members Asia-Pacific Americas Europe Africa Australia Argentina Austria Benin Bangladesh Brazil Finland Ghana Cambodia Canada France Kenya China Chile Germany Mozambique India Colombia Hungary Nigeria Indonesia Costa Rica Italy Senegal Japan El Salvador Luxembourg South Africa Philippines Jamaica Netherlands South Korea Mexico Poland Taiwan Peru Russia Thailand United States Slovenia Vietnam Uruguay Spain Sweden Turkey United Kingdom

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The continuing effort has been supported by many funders

  • National Institute on Aging (NIA)
  • Bill and Melinda Gates Foundation
  • International Development Research Center (IDRC), Canada
  • UN Fund for Population Activities (UNFPA)
  • UN Population Division
  • East-West Center, Hawaii
  • Center for the Economics and Demography of Aging, UC Berkeley
  • Asian Development Bank
  • Japan: MEXT.ACADEMIC FRONTIER
  • MacArthur Foundation
  • European Union
  • In-country support from governments and other funders in many

countries

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Global Meetings

10th Beijing, China, Nov 10-14, 2014 9th Barcelona, June 2013 8th Rio, Brazil, December 2011 7th Honolulu, June 11-12, 2010 6th Berkeley, January 9-10, 2009 5th Seoul, Korea, November 5-6, 2007 4th Berkeley, January 19-20, 2007 3rd Honolulu, January 20-22, 2006 2nd Berkeley, January 2005 1st Berkeley, January 2004

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After more than a hundred articles by project members, the first book from the project is out

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Manuals, more articles, etc.

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Outcomes from NTA

  • Data improvement
  • Research and policy awareness

– Comparative or country specific

  • Capacity building

– Global meetings – Regional meetings – Technical/training workshops

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The Economic Lifecycle

100 200 300 400 500 600 20 40 60 80 Age Per Capita Consumption and Labor Income

Consumption Labor Income

Large deficits at young and

  • ld ages.
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Aggregate flows, Nigeria

50000 100000 150000 200000 250000 10 20 30 40 50 60 70 80 90+ Naira (millions) Age Consumption Labor income Net cost of children (<25) is 87% of the total labor income of adults 25+ Net cost of elderly is very small

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Human capital spending, Nigeria

50000 100000 150000 200000 250000 10 20 30 40 50 60 70 80 90+ Naira (millions) Age Consumption Human capital spending Labor income Only 20% of spending on children goes to human capital (health and education)

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100 200 300 400 500 600 0.0 1.0 2.0 3.0 4.0 5.0 6.0 Human capital spending (% average annual income age 30–49) Total fertility rate (children per woman)

Africa South, Southeast Asia East Asia Europe, Australia, United States Latin America, Caribbean

Fertility/human capital tradeoff

Updated from NTA database www.ntaccounts.org

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Support ratio, China

0.6 0.7 0.8 0.9 1 1940 1960 1980 2000 2020 2040 2060 Minus 0.4% per year Plus 0.8% per year Net swing of 1.2% per year in per capita growth due to population age structure

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Annual growth of support ratio, NTA economies, 2010–2050

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The economic lifecycle, aggregate flows (United States)

50000 100000 150000 200000 250000 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90+ US$ (millions) Age Consumption Labor Income

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Sources of funding consumption (support system)

  • Labor income
  • Transfers

– Familial transfers – Public transfers

  • Social security system
  • Asset-based reallocations

– Interest, dividends, rent from personal assets – Home – Dis-saving

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Evolution of old-age support system

Saving Public Transfers Familial Transfers

Traditional society? Capital-based transformation Social welfare transformation

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SLIDE 27 AT DE HU SI ES SE US BR CL CR MX UY

JP PH KR TW TH CH

IN 1/3 1/3 1/3 2/3 2/3 2/3 Assets Public transfers Family transfers

Asia Europe & US Latin America

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Consumption by Sector (Korea)

1,000,000 2,000,000 3,000,000 4,000,000 5,000,000 6,000,000 7,000,000 8,000,000 9,000,000 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90+ Age Korean Won

Public Education Private Education Public Other Private Other Public Health Private Health

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Consumption by Sector (Sweden)

50,000 100,000 150,000 200,000 250,000 300,000 350,000 400,000 450,000 500,000 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90+ Age Swedish Krona

Public Education Private Education Public Other Private Other Public Health Private Health

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Social welfare target (Thailand), constrained

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Summary: NTA research areas

  • Demographic dividend
  • Economic growth and saving
  • Fiscal sustainability
  • Intergenerational equity
  • Implications for gender issues and inequality
  • Human resources (healthcare and

education)

  • Responsibilities of private vs. public sector
  • Retirement and pension issues
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Concluding remarks

  • Our economic systems are being tested by

unprecedented changes in population age structure

  • Stakes are very large: Economic growth, generational

equity, economic security for children and elderly, and sustainability of support systems

  • Complex systems are involved: Governments, labor

markets, families, financial markets, and health-care systems

  • It is essential that policy be informed by the best

possible data linking population and the macroeconomy

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Thank you