Self-Disconnection Among Pre-Payment Customers - A Behavioural Analysis
In this paper, we revisit the problem of self-disconnection among prepayment energy customers. Using metering data from 2.3 million electricity pre-payment customers, we study how often households with an electricity pre-payment meter tend to self-disconnect over the course of a year - and why they do so. What we find is that, in any given year, the majority of households (ca. 78%) do not self-disconnect; ca. 12% self-disconnect once; ca. 3% selfdisconnect more often than four times. We also find that most selfdisconnections (ca. 62%) last for less than one day; between 72% and 82% last for less than two days; 12%-18% last for more than 3 days. As for the main driver of self-disconnection, we identify financial constraints. This suggests that it is likely to be difficult/expensive to reduce the total number of self-disconnections. In the last part of the paper, we argue, however, that it may (still) be possible to reduce the negative impact of self-disconnection in a relatively inexpensive way - at least to some extent - by helping households to better smooth their self disconnections over the course of a year.
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- O'Donoghue, Ted & Rabin, Matthew, 2000.
"Choice and Procrastination,"
Department of Economics, Working Paper Series
qt5r26k54p, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
- Jose A. F. Machado & J. M. C. Santos Silva, 2002.
"Quantiles for counts,"
CeMMAP working papers
CWP22/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Wedel, M, et al, 1993. "A Latent Class Poisson Regression Model for Heterogeneous Count Data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(4), pages 397-411, Oct.-Dec..
- Jonathan J. Morduch & Hall S. Stern, 1995.
"Using Mixture Models to Detect Sex Bias in Health Outcomes in Bangladesh,"
Harvard Institute of Economic Research Working Papers
1728, Harvard - Institute of Economic Research.
- Morduch, Jonathan J. & Stern, Hal S., 1997. "Using mixture models to detect sex bias in health outcomes in Bangladesh," Journal of Econometrics, Elsevier, vol. 77(1), pages 259-276, March.
- Morduch, J. & Stern, H.S., 1995. "Using Mixture Models to Detect Sex Bias in Health Outcomes in Bangladesh," Papers 513, Harvard - Institute for International Development.
- Gritz, R. Mark, 1993. "The impact of training on the frequency and duration of employment," Journal of Econometrics, Elsevier, vol. 57(1-3), pages 21-51.
- Ashraf Nava & Karlan Dean & Yin Wesley, 2006.
The B.E. Journal of Economic Analysis & Policy,
De Gruyter, vol. 5(2), pages 1-24, March.
- Sokbae Lee, 2004.
"Endogeneity in quantile regression models: a control function approach,"
CeMMAP working papers
CWP08/04, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Lee, Sokbae, 2007. "Endogeneity in quantile regression models: A control function approach," Journal of Econometrics, Elsevier, vol. 141(2), pages 1131-1158, December.
- Sokbae Lee, 2004. "Endogeneity in Quantile Regression Models: A Control Function Approach," Econometric Society 2004 North American Summer Meetings 521, Econometric Society.
- Koenker,Roger, 2005.
Cambridge University Press, number 9780521608275, December.
- David Laibson, 1997.
"Golden Eggs and Hyperbolic Discounting,"
The Quarterly Journal of Economics,
Oxford University Press, vol. 112(2), pages 443-478.
- Paxson, Christina H, 1993.
"Consumption and Income Seasonality in Thailand,"
Journal of Political Economy,
University of Chicago Press, vol. 101(1), pages 39-72, February.
- Wang, Peiming & Cockburn, Iain M & Puterman, Martin L, 1998. "Analysis of Patent Data--A Mixed-Poisson-Regression-Model Approach," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(1), pages 27-41, January.
- Abadie, Alberto, 2003. "Semiparametric instrumental variable estimation of treatment response models," Journal of Econometrics, Elsevier, vol. 113(2), pages 231-263, April.
- Tversky, Amos & Kahneman, Daniel, 1986. "Rational Choice and the Framing of Decisions," The Journal of Business, University of Chicago Press, vol. 59(4), pages 251-278, October.
- Mullahy, John, 1997. "Heterogeneity, Excess Zeros, and the Structure of Count Data Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(3), pages 337-350, May-June.
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