Identification of Time-Inconsistent Models: The Case of Insecticide Treated Nets
Aprajit Mahajan,
Christian Michel and
Alessandro Tarozzi
No 27198, NBER Working Papers from National Bureau of Economic Research, Inc
Abstract:
Time-inconsistency may play a central role in explaining inter-temporal behavior, particularly among poor households. However, little is known about the distribution of time-inconsistent agents, and time-preference parameters are typically not identified in standard dynamic choice models. We formulate a dynamic discrete choice model in an unobservedly heterogeneous population of possibly time-inconsistent agents. We provide conditions under which all population type probabilities and preferences for both time-consistent and sophisticated agents are point-identified and sharp set-identification results for naïve and partially sophisticated agents. Estimating the model using data from a health intervention providing insecticide treated nets (ITNs) in rural Orissa, India, we find that a little over two-thirds of our sample comprises time-inconsistent agents and that both sophisticated and naïve agents are considerably present-biased. Counterfactuals show that the under-investment in ITNs attributable to present-bias leads to substantial costs that are about five times the price of an ITN.
JEL-codes: D9 I1 I3 (search for similar items in EconPapers)
Date: 2020-05
New Economics Papers: this item is included in nep-agr and nep-upt
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Citations: View citations in EconPapers (6)
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Working Paper: Identification of Time-Inconsistent Models: The Case of Insecticide Treated Nets (2023) 
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