Exploiting Zero-Inflated Consumption Data using Propensity Score Matching and the Infrequency of Purchase Model, with Application to Climate Change Policy
AbstractWe apply propensity score matching (PSM) to the estimation of household motor fuel purchase quantities, to tackle problems caused by infrequency of purchase. The results are compared to an alternative, regression-based, imputation strategy using the infrequency of purchase model (IPM). Using data from the UK’s National Travel Survey (NTS) we observe that estimated mean obtained from the PSM imputation is closer to the estimated mean from the consumption diary, than that obtained from fitted values from the IPM. The NTS also contains an interview question on household mileage which can be used to assess the results of imputation. We find that the order statistics of the imputed distribution are more plausible for the PSM estimates than those obtained using the IPM, judging by the sample distribution of household mileage. We argue that there are some applications for which the PSM method is likely to be superior, including estimates of distributional effects of policies. On the other hand, the IPM is more suitable for analysing conditional effects and associations of consumption with covariates. We illustrate our arguments using a simple microsimulation exercise on CO2 emissions reduction policies, an area where methods for coping with zero-inflated data seem currently to be under-used.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 48727.
Date of creation: 2013
Date of revision:
propensity score matching; purchase infrequency; climate policy;
Find related papers by JEL classification:
- C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics
- D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
- Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy
This paper has been announced in the following NEP Reports:
- NEP-ALL-2013-08-05 (All new papers)
- NEP-ENE-2013-08-05 (Energy Economics)
- NEP-ENV-2013-08-05 (Environmental Economics)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- 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.
- Kimhi, Ayal, 1999. "Double-Hurdle and Purchase-Infrequency Demand Analysis: A Feasible Integrated Approach," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 26(4), pages 425-42, December.
- Blundell, Richard & Meghir, Costas, 1987. "Bivariate alternatives to the Tobit model," Journal of Econometrics, Elsevier, vol. 34(1-2), pages 179-200.
- 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.
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