Skip to main content

A Model of Global Consumption, Output and Distribution

  • Chapter
  • First Online:
The End of Poverty
  • 347 Accesses

Abstract

In this chapter, we discuss our methodology. We discuss the GrIP model and its construction. This is a custom-built model of global consumption, output and distribution. We focus on the three main construction issues: the data sets used; the global population and consumption coverage; and a new adjustment for this book related to top incomes.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 44.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 59.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    HFCE—Household Final Consumption Expenditure.

  2. 2.

    The countries and years used in the analysis are: Australia 2003, Canada 2010, Denmark 2010, Finland 2007, France 2005, Germany 2007, Ireland 2007, Italy 2008, Japan 2008, Netherlands 2010, Norway 2010, Spain 2010, Sweden 2005, Switzerland 2004, United Kingdom 2010, United States 2010, Uruguay 2012. One eligible country (Malaysia 2009) was omitted because the PovcalNet share to the top 10% is actually higher than that shown in TIP.

  3. 3.

    There are some exceptions to this where the PovcalNet survey mean already implies a consumption level higher than the HFCE total. In those cases, we reason that the HFCE figures must be questionable and so do not apply the cap.

References

  • Alvaredo, F., Atkinson, A., Piketty, T., & Saez, E. (2014). The world top incomes database. http://wid.world.

  • Anand, S., & Segal, P. (2015). The global distribution of income. In Anthony B. Atkinson & François Bourguignon (Eds.), Handbook of income distribution (Vol. 2). Amsterdam: Elsevier.

    Google Scholar 

  • Dang, H.-A., Lanjouw, P., & Serajuddin, U. (2014). Updating poverty estimates at frequent intervals in the absence of consumption data: Methods and illustration with reference to a middle-income country (World Bank Policy Research Working Paper 7043). Washington, DC: World Bank.

    Google Scholar 

  • Datt, G. (1998). Computational tools for poverty measurement and analysis (FCND Discussion Papers). Washington, DC: International Food Policy Research Institute (IFPRI).

    Google Scholar 

  • Deaton, A. (2005). Measuring poverty in a growing world (or measuring growth in a poor world). The Review of Economics and Statistics, 87(1), 1–19.

    Article  Google Scholar 

  • Deaton, A., & Aten, B. (2014). Trying to understand the PPPs in ICP2011: Why are the results so different? (National Bureau of Economic Research Working Paper 20244). Cambridge, MA: NBER.

    Google Scholar 

  • Edward, P. (2006). Examining inequality: Who really benefits from global growth? World Development, 34(10), 1667–1695.

    Article  Google Scholar 

  • Edward, P., & Sumner, A. (2014). Estimating the scale and geography of global poverty now and in the future: How much difference do method and assumptions make? World Development, 58, 67–82.

    Article  Google Scholar 

  • Edward, P., & Sumner, A. (2015a). New estimates of global poverty and inequality: How much difference do price data really make? (Center for Global Development Working Paper 403). Washington, DC: CGD.

    Google Scholar 

  • Edward, P., & Sumner, A. (2015b). Philanthropy, welfare capitalism or radically different global economic model: What would it take to end global poverty within a generation based on historical growth patterns? (Center for Global Development [CGD] Working Paper). Washington DC: CGD.

    Google Scholar 

  • Edward, P., & Sumner, A. (2016). Global inequality and global poverty since the cold war? (CROP Working Paper). Bergen: CROP/UiB.

    Google Scholar 

  • Korinek, A., Mistiaen, J., & Ravallion, M. (2006). Survey nonresponse and the distribution of income. Journal of Economic Inequality, 4(2), 33–55.

    Article  Google Scholar 

  • Lahoti, R., Jayadev, A., & Reddy, S. (2014). The global consumption and income project (GCIP): An introduction and preliminary findings. www.globalconsumptionandincomeproject.org. Accessed 4 June 2018.

  • Lakner, C., & Milanovic, B. (2013). Global income distribution: From the fall of the Berlin wall to the great recession (World Bank Policy Research Working Paper 6719). Washington, DC: World Bank.

    Google Scholar 

  • Quah, D. (1996). Twin peaks: Growth and convergence in models of distribution dynamics. The Economic Journal, 106(437), 1045–1055.

    Article  Google Scholar 

  • Ravallion, M. (2003). Measuring aggregate welfare in developing countries: How well do national accounts and surveys agree? The Review of Economics and Statistics, 85(3), 645–652.

    Article  Google Scholar 

  • Sala-i-Martin, X. (2002). The world distribution of income (estimated from individual country distributions). Mimeo. New York, NY: Columbia University.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Peter Edward .

Rights and permissions

Reprints and permissions

Copyright information

© 2019 The Author(s)

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Edward, P., Sumner, A. (2019). A Model of Global Consumption, Output and Distribution. In: The End of Poverty. Palgrave Pivot, Cham. https://doi.org/10.1007/978-3-030-14764-8_3

Download citation

Publish with us

Policies and ethics