Replication data for: Estimating Time Preferences from Convex Budgets
Principal Investigator(s): View help for Principal Investigator(s) James Andreoni; Charles Sprenger
Version: View help for Version V1
Name | File Type | Size | Last Modified |
---|---|---|---|
Stata | 10/11/2019 06:02:PM | ||
|
text/plain | 14.6 KB | 10/11/2019 02:02:PM |
Project Citation:
Andreoni, James, and Sprenger, Charles. Replication data for: Estimating Time Preferences from Convex Budgets. Nashville, TN: American Economic Association [publisher], 2012. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-11. https://doi.org/10.3886/E112569V1
Project Description
Summary:
View help for Summary
Experimentally elicited discount rates are frequently higher than what
seems reasonable for economic decision-making. Such high rates are
often attributed to present-biased discounting. A well-known bias of
standard measurements is the assumption of linear consumption utility. Attempting to correct this bias using measures of risk aversion
to identify concavity, researchers find reasonable discounting but at
the cost of exceptionally high utility function curvature. We present a
new methodology for identifying time preferences, both discounting
and curvature, from simple allocation decisions. We find reasonable
levels of both discounting and curvature and, surprisingly, dynamically
consistent time preferences. (JEL C91, D12, D81)
Scope of Project
JEL Classification:
View help for JEL Classification
C91 Design of Experiments: Laboratory, Individual
D12 Consumer Economics: Empirical Analysis
D81 Criteria for Decision-Making under Risk and Uncertainty
C91 Design of Experiments: Laboratory, Individual
D12 Consumer Economics: Empirical Analysis
D81 Criteria for Decision-Making under Risk and Uncertainty
Related Publications
Published Versions
Report a Problem
Found a serious problem with the data, such as disclosure risk or copyrighted content? Let us know.
This material is distributed exactly as it arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the investigator(s) if further information is desired.