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Something from Nothing: Estimating Consumption Rates Using Propensity Scores, with Application to Emissions Reduction Policies

Author

Listed:
  • Bardsley, Nicholas

    (University of Reading)

  • Buechs, Milena

    (University of Southampton)

  • Schnepf, Sylke V.

    (European Commission, DG Joint Research Centre)

Abstract
Consumption surveys often record zero purchases of a good because of a short observation window. Only mean consumption rates can then be inferred. We show that propensity scores can be used to estimate each unit's consumption rate, revealing the distribution. We demonstrate the method using the UK National Travel Survey, in which c.40% of motorist households purchase no fuel. Estimated consumption rates are plausible judging by households' annual mileages, and highly skewed. We apply the same approach to estimate CO2 emissions and direct outcomes of a carbon cap or tax. Analysis of such policies based solely on means appears to have a negative bias, because of skewness of the underlying distributions. The regressiveness of a simple tax or cap is overstated, and redistributive features of a revenue-neutral policy are understated.

Suggested Citation

  • Bardsley, Nicholas & Buechs, Milena & Schnepf, Sylke V., 2016. "Something from Nothing: Estimating Consumption Rates Using Propensity Scores, with Application to Emissions Reduction Policies," IZA Discussion Papers 9707, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp9707
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    References listed on IDEAS

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    1. Hikaru Hasegawa & Kazuhiro Ueda & Kunie Mori, 2008. "Estimation of Engel Curves from Survey Data with Zero Expenditures," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(4), pages 535-558, August.
    2. Simon Dresner and Paul Ekins, 2004. "The Distributional Impacts of Economic Instruments to Limit Greenhouse Gas Emissions from Transport," PSI Research Discussion Series 19, Policy Studies Institute, UK.
    3. Gough, Ian & Abdallah, Saamah & Johnson, Viki & Ryan-Collins, Josh & Smith, Cindy, 2011. "The distribution of total embodied greenhouse gas emissions by households in the UK, and some implications for social policy," LSE Research Online Documents on Economics 36562, London School of Economics and Political Science, LSE Library.
    4. Tullio Jappelli & Luigi Pistaferri, 2014. "Fiscal Policy and MPC Heterogeneity," American Economic Journal: Macroeconomics, American Economic Association, vol. 6(4), pages 107-136, October.
    5. Jose Labeaga & Angel Lopez, 1997. "A study of petrol consumption using Spanish panel data," Applied Economics, Taylor & Francis Journals, vol. 29(6), pages 795-802.
    6. Deaton, Angus & Irish, Margaret, 1984. "Statistical models for zero expenditures in household budgets," Journal of Public Economics, Elsevier, vol. 23(1-2), pages 59-80.
    7. Blaylock, James R. & Blisard, William N., 1991. "Consumer demand analysis when zero consumption occurs: the case of cigarettes," Technical Bulletins 312324, United States Department of Agriculture, Economic Research Service.
    8. repec:cep:sticas:/152 is not listed on IDEAS
    9. Steve Sorrell, 2010. "An upstream alternative to personal carbon trading," Climate Policy, Taylor & Francis Journals, vol. 10(4), pages 481-486, July.
    10. Alberto Abadie & Guido W. Imbens, 2008. "On the Failure of the Bootstrap for Matching Estimators," Econometrica, Econometric Society, vol. 76(6), pages 1537-1557, November.
    11. Brand, Christian & Boardman, Brenda, 2008. "Taming of the few--The unequal distribution of greenhouse gas emissions from personal travel in the UK," Energy Policy, Elsevier, vol. 36(1), pages 224-238, January.
    12. Blundell, Richard & Meghir, Costas, 1987. "Bivariate alternatives to the Tobit model," Journal of Econometrics, Elsevier, vol. 34(1-2), pages 179-200.
    13. Keen, Michael, 1986. "Zero Expenditures and the Estimation of Engel Curves," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 1(3), pages 277-286, July.
    14. Büchs, Milena & Schnepf, Sylke V., 2013. "Who emits most? Associations between socio-economic factors and UK households' home energy, transport, indirect and total CO2 emissions," Ecological Economics, Elsevier, vol. 90(C), pages 114-123.
    15. John Gibson & Bonggeun Kim, 2012. "Testing the Infrequent Purchases Model Using Direct Measurement of Hidden Consumption from Food Stocks," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 94(1), pages 257-270.
    16. Saamah Abdallah & Ian Gough & Victoria Johnson & Josh Ryan-Collins & Cindy Smith, 2011. "The distribution of total greenhouse gas emissions by households in the UK, and some implications for social policy," CASE Papers case152, Centre for Analysis of Social Exclusion, LSE.
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    Cited by:

    1. Milena Büchs & Noel Cass & Caroline Mullen & Karen Lucas & Diana Ivanova, 2023. "Emissions savings from equitable energy demand reduction," Nature Energy, Nature, vol. 8(7), pages 758-769, July.

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    More about this item

    Keywords

    infrequent purchase; fuel consumption; emissions reduction; propensity score matching; surveys;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • D04 - Microeconomics - - General - - - Microeconomic Policy: Formulation; Implementation; Evaluation
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • H23 - Public Economics - - Taxation, Subsidies, and Revenue - - - Externalities; Redistributive Effects; Environmental Taxes and Subsidies

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