IDEAS home Printed from https://ideas.repec.org/a/taf/applec/v32y2000i8p953-959.html
   My bibliography  Save this article

Compositional data analysis and zeros in micro data

Author

Listed:
  • Jane Fry
  • Tim Fry
  • Keith McLaren

Abstract

The application of compositional data analysis methods in economics has some attraction. The methodology relies upon the use of 'log-ratios' in the statistical analysis. Such an approach is not possible when the data to be analysed include observations where the observed budget share is zero. We, therefore, consider and extend the methods of compositional data analysis in the situation where the data to be analysed include observations where the observed budget share is zero. The modified compositional data methods are discussed both in statistical terms and through potential economic interpretations of the method. Further, the modified methodology is applied to the 1988-89 Australian Household Expenditure Survey yielding estimates for a system of Engel curves.

Suggested Citation

  • Jane Fry & Tim Fry & Keith McLaren, 2000. "Compositional data analysis and zeros in micro data," Applied Economics, Taylor & Francis Journals, vol. 32(8), pages 953-959.
    • Handle: RePEc:taf:applec:v:32:y:2000:i:8:p:953-959
    DOI: 10.1080/000368400322002
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/000368400322002
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/000368400322002?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Maureen T. Rimmer & Alan A. Powell, 1994. "Engel Flexibility in Household Budget Studies: Non-parametric Evidence versus Standard Functional Forms," Centre of Policy Studies/IMPACT Centre Working Papers op-79, Victoria University, Centre of Policy Studies/IMPACT Centre.
    2. McLaren, Keith R & Fry, Jane M & Fry, Tim R L, 1995. "A Simple Nested Test of the Almost Ideal Demand System," Empirical Economics, Springer, vol. 20(1), pages 149-161.
    3. Fry, Jane M. & Fry, Tim R. L. & McLaren, Keith R., 1996. "The stochastic specification of demand share equations: Restricting budget shares to the unit simplex," Journal of Econometrics, Elsevier, vol. 73(2), pages 377-385, August.
    4. Russel J. Cooper & Keith R. McLaren, 1992. "An Empirically Oriented Demand System with Improved Regularity Properties," Canadian Journal of Economics, Canadian Economics Association, vol. 25(3), pages 652-668, August.
    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. Jane Fry & Tim Fry & Keith McLaren & Tanya Smith, 2001. "Modelling zeroes in microdata," Applied Economics, Taylor & Francis Journals, vol. 33(3), pages 383-392.
    2. Kancs, d'Artis, 2002. "Modelling Renewable Energy Policies," Conference papers 331030, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    3. Alan A. Powell & Keith R. McLaren & K.R. Pearson & Maureen Rimmer, 2002. "Cobb-Douglas Utility - Eventually!," Monash Econometrics and Business Statistics Working Papers 12/02, Monash University, Department of Econometrics and Business Statistics.
    4. Steven F. Koch, 2006. "The Aid and Maid System – South African Household Data Pitfalls," Working Papers 024, Economic Research Southern Africa.
    5. Gary Wong & Qiao Yu, 2001. "Inverse Demand Systems for Composite Liquid Assets: Evidence from China," School of Economics and Finance Discussion Papers and Working Papers Series 097, School of Economics and Finance, Queensland University of Technology.
    6. Barigozzi, Matteo & Alessi, Lucia & Capasso, Marco & Fagiolo, Giorgio, 2012. "The distribution of household consumption-expenditure budget shares," Structural Change and Economic Dynamics, Elsevier, vol. 23(1), pages 69-91.
    7. Denis Conniffe & John Eakins, 2003. "Does the Stochastic Specification of the Linear Expenditure System Matter?," The Economic and Social Review, Economic and Social Studies, vol. 34(1), pages 23-32.
    8. Bouët, Antoine & Femenia, Fabienne & Laborde, David, 2014. "On the role of demand systems in CGE simulations of trade reforms," Conference papers 332443, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    9. Elena Lasarte Navamuel & Fernando Rubiera Moroll & Dusan Paredes, 2014. "City size and household food consumption: demand elasticities in Spain," Applied Economics, Taylor & Francis Journals, vol. 46(14), pages 1624-1641, May.
    10. Paris, Quirino & Caracciolo, Francesco, 2012. "Quantity Versus Shares in Estimating Demand Systems," Working Papers 124575, University of California, Davis, Department of Agricultural and Resource Economics.
    11. Denis Conniffe, 2006. "Indirect addilog translation of indirect utility functions," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 39(4), pages 1388-1397, November.
    12. Kieran Donaghy, 2011. "Models of travel demand with endogenous preference change and heterogeneous agents," Journal of Geographical Systems, Springer, vol. 13(1), pages 17-30, March.
    13. Cash, Sean B. & Goddard, Ellen W., 2006. "New Directions in Consumer Behaviour Research," CAFRI: Current Agriculture, Food and Resource Issues, Canadian Agricultural Economics Society, issue 7, pages 1-10, August.
    14. Ferrer-Rosell, Berta & Coenders, GermÃ, 2017. "Airline type and tourist expenditure: Are full service and low cost carriers converging or diverging?," Journal of Air Transport Management, Elsevier, vol. 63(C), pages 119-125.
    15. Fahd Rehman & Russel J. Cooper, 2013. "Measuring the Differential Economic Impact of Education across Income Groups and Provinces in Pakistan: A Model-Consistent Approach," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 18(Special E), pages 161-182, September.
    16. Atuesta, Laura & Paredes, Araya, 2011. "A Spatial Cost of Living Index for Colombia using a Microeconomic Approach and Censored Data," MPRA Paper 30580, University Library of Munich, Germany.
    17. Eldon V. Ball & Ricardo Cavazos & Jeffrey T. LaFrance & Rulon Pope & Jesse Tack, 2010. "Aggregation and Arbitrage in Joint Production," Monash Economics Working Papers archive-22, Monash University, Department of Economics.
    18. Paul Blacklow & Aaron Nicholas & Ranjan Ray, 2010. "Demographic Demand Systems With Application To Equivalence Scales Estimation And Inequality Analysis: The Australian Evidence," Australian Economic Papers, Wiley Blackwell, vol. 49(3), pages 161-179, September.
    19. Martin Bod’a, 2017. "Stochastic sensitivity analysis of concentration measures," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 25(2), pages 441-471, June.
    20. Gary Wong, 2001. "Towards A More General Approach To Testing The Time Additivity Hypothesis," School of Economics and Finance Discussion Papers and Working Papers Series 098, School of Economics and Finance, Queensland University of Technology.

    More about this item

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis

    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:taf:applec:v:32:y:2000:i:8:p:953-959. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEC20 .

    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.