IDEAS home Printed from https://ideas.repec.org/p/mos/moswps/2015-19.html
   My bibliography  Save this paper

Measuring Poverty and Inequality from Highly Aggregated Small Area Data: The Changing Fortunes of Latrobe Valley Households

Author

Listed:
  • Jill Wright
  • Ma. Rebecca Valenzuela
  • Duangkamon Chotikapanich

Abstract

Using census data, we analyse inequality and poverty levels for the coal-rich region of Latrobe Valley between 1986 and 2006, a period incorporating industry restructuring, recession and subsequent growth. To enable the analysis using limited information, we propose a method for using grouped data to obtain income distributions for small areas. Unit record data are used to validate the methodology. We find that welfare in the Valley deteriorated between 1986 and 1996, in line with national and regional trends. However, between 1996 and 2006, when the economy grew strongly and many regions started to prosper again, welfare in the Valley continued to deteriorate.

Suggested Citation

  • Jill Wright & Ma. Rebecca Valenzuela & Duangkamon Chotikapanich, 2015. "Measuring Poverty and Inequality from Highly Aggregated Small Area Data: The Changing Fortunes of Latrobe Valley Households," Monash Economics Working Papers 19-15, Monash University, Department of Economics.
  • Handle: RePEc:mos:moswps:2015-19
    as

    Download full text from publisher

    File URL: http://www.buseco.monash.edu.au/eco/research/papers/2015/1915povertywrightvalenzuelachotikapanich.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Ann Harding & Aggie Szukalska, 2000. "Trends in Child Poverty in Australia, 1982 to 1995–96," The Economic Record, The Economic Society of Australia, vol. 76(234), pages 236-254, September.
    2. Philippe Belley & Lance Lochner, 2007. "The Changing Role of Family Income and Ability in Determining Educational Achievement," Journal of Human Capital, University of Chicago Press, vol. 1(1), pages 37-89.
    3. George Athanasopoulos & Farshid Vahid, 2003. "Statistical Inference and Changes in Income Inequality in Australia," The Economic Record, The Economic Society of Australia, vol. 79(247), pages 412-424, December.
    4. Bernard Trendle, 2005. "Sources Of Regional Income Inequality: An Examination Of Small Regions In Queensland," Review of Urban & Regional Development Studies, Wiley Blackwell, vol. 17(1), pages 35-50, March.
    5. Ann Harding & Rachel Lloyd & Anthea Bill & Anthony King, 2004. "Assessing Poverty and Inequality at a Detailed Regional Level: New Advances in Spatial Microsimulation," WIDER Working Paper Series RP2004-26, World Institute for Development Economic Research (UNU-WIDER).
    6. repec:bla:ecorec:v:76:y:2000:i:234:p:236-54 is not listed on IDEAS
    7. Simhauser, Paul, 2005. "The Gains from the Microeconomic Reform of the Power Generation Industry in East-Coast Australia," Economic Analysis and Policy, Elsevier, vol. 35(1-2), pages 23-43, March/Sep.
    8. Philip Maxwell & Matthew Peter, 1988. "Income Inequality in Small Regions: A Study of Australian Statistical Divisions," The Review of Regional Studies, Southern Regional Science Association, vol. 18(1), pages 19-27, Winter.
    9. Tony Eardley, 2000. "Working but Poor? Low Pay and Poverty in Australia," The Economic and Labour Relations Review, , vol. 11(2), pages 308-338, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. He, Qichun, 2018. "Inflation and innovation with a cash-in-advance constraint on human capital accumulation," Economics Letters, Elsevier, vol. 171(C), pages 14-18.
    2. Elizabeth M. Caucutt & Lance Lochner & Youngmin Park, 2017. "Correlation, Consumption, Confusion, or Constraints: Why Do Poor Children Perform so Poorly?," Scandinavian Journal of Economics, Wiley Blackwell, vol. 119(1), pages 102-147, January.
    3. Cheng, Yawen & Kong, Dongmin & Wang, Qin, 2023. "Parents' early experience and children's years of schooling: The long-term impact of son preference," China Economic Review, Elsevier, vol. 82(C).
    4. Carlos Urrutia & Marina Mendes Tavares, 2013. "Accounting for the Trends in Inequality and Intergenerational Mobility in the U.S," 2013 Meeting Papers 1256, Society for Economic Dynamics.
    5. Uta Bolt & Eric French & Jamie Hentall-MacCuish & Cormac O'Dea, 2021. "The intergenerational elasticity of earnings: exploring the mechanisms," IFS Working Papers W21/07, Institute for Fiscal Studies.
    6. Robert B. Archibald & David H. Feldman & Peter McHenry, 2015. "A Quality-Preserving Increase in Four-Year College Attendance: Evidence from NLS-72 and ELS:2002," Working Papers 147, Department of Economics, College of William and Mary.
    7. Joanne Lindley & Stephen Machin, 2012. "The Quest for More and More Education: Implications for Social Mobility," Fiscal Studies, Institute for Fiscal Studies, vol. 33(2), pages 265-286, June.
    8. Timothy G. Conley & Nirav Mehta & Ralph Stinebrickner & Todd Stinebrickner, 2024. "Social Interactions, Mechanisms, and Equilibrium: Evidence from a Model of Study Time and Academic Achievement," Journal of Political Economy, University of Chicago Press, vol. 132(3), pages 824-866.
    9. Philippe Belley & Lance Lochner, 2007. "The Changing Role of Family Income and Ability in Determining Educational Achievement," Journal of Human Capital, University of Chicago Press, vol. 1(1), pages 37-89.
    10. Braxton, John Carter & Chikhale, Nisha & Herkenhoff, Kyle & Phillips, Gordon, 2024. "Intergenerational Mobility and Credit," IZA Discussion Papers 16826, Institute of Labor Economics (IZA).
    11. Rothstein, Jesse & Rouse, Cecilia Elena, 2011. "Constrained after college: Student loans and early-career occupational choices," Journal of Public Economics, Elsevier, vol. 95(1-2), pages 149-163, February.
    12. Catherine Haeck & Pierre Lefebvre, 2020. "The Evolution of Cognitive Skills Inequalities by Socioeconomic Status across Canada," Working Papers 20-04, Research Group on Human Capital, University of Quebec in Montreal's School of Management.
    13. Michelacci, Claudio & Schivardi, Fabiano, 2020. "Are they all like Bill, Mark, and Steve? The education premium for entrepreneurs," Labour Economics, Elsevier, vol. 67(C).
    14. Oded Stark & Walter Hyll & Yong Wang, 2012. "Endogenous Selection of Comparison Groups, Human Capital Formation, and Tax Policy," Economica, London School of Economics and Political Science, vol. 79(313), pages 62-75, January.
    15. Mello, João M. P. De & Duarte, Isabela F., 2020. "The effect of the availability of student credit on tuition: testing the Bennett hypothesis using evidence from a large-scale student loan program in Brazil," LSE Research Online Documents on Economics 123092, London School of Economics and Political Science, LSE Library.
    16. Castelló-Climent, Amparo & Hidalgo-Cabrillana, Ana, 2012. "The role of educational quality and quantity in the process of economic development," Economics of Education Review, Elsevier, vol. 31(4), pages 391-409.
    17. Philip Oreopoulos & Kjell G. Salvanes, 2009. "How large are returns to schooling? Hint: Money isn't everything," NBER Working Papers 15339, National Bureau of Economic Research, Inc.
    18. Lance J. Lochner & Alexander Monge-Naranjo, 2011. "The Nature of Credit Constraints and Human Capital," American Economic Review, American Economic Association, vol. 101(6), pages 2487-2529, October.
    19. Diego Restuccia & Guillaume Vandenbroucke, 2013. "The Evolution Of Education: A Macroeconomic Analysis," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 54(3), pages 915-936, August.
    20. James J. Heckman & Stefano Mosso, 2014. "The Economics of Human Development and Social Mobility," Annual Review of Economics, Annual Reviews, vol. 6(1), pages 689-733, August.

    More about this item

    Keywords

    Poverty; inequality; restructure; privatization; small-area income distribution;
    All these keywords.

    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • R13 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General Equilibrium and Welfare Economic Analysis of Regional Economies
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:mos:moswps:2015-19. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Simon Angus (email available below). General contact details of provider: https://edirc.repec.org/data/dxmonau.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.