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Updated: Jun 13, 2026

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The Joint Effect of Social Comparison and Social Distance on Evaluation of Intertemporal Choice Outcomes in Event-related Potential Studies
Published on: August 25, 2023
Intertemporal consumption with directly measured welfare functions and subjective expectations
Arie Kapteyn1, Kristin J Kleinjans, Arthur van Soest
1RAND, United States.
Summary
Estimating intertemporal consumption models using subjective welfare and expectations data reduces unverifiable assumptions. This approach yields plausible estimates for the intertemporal elasticity of substitution using only cross-section data.
Area of Science:
- Behavioral Economics
- Econometrics
- Consumer Behavior
Background:
- Traditional Euler equation estimation for intertemporal consumption models relies on numerous, often unverifiable, assumptions regarding expectations and preferences.
- These assumptions pose significant challenges in accurately modeling household consumption decisions.
Purpose of the Study:
- To reduce the reliance on unverifiable assumptions in intertemporal consumption models.
- To incorporate direct subjective information on respondents' preferences and expectations.
- To assess the predictive power of individually measured welfare functions and expectations on consumption variation.
Main Methods:
- Utilized direct subjective information on respondents' preferences and expectations.
- Estimated welfare functions and expectations at the individual household level.
- Employed a model that requires only cross-section data for estimation.
Main Results:
- Individually measured welfare functions and expectations demonstrate predictive power for household consumption variation.
- Estimates of the intertemporal elasticity of substitution derived from these welfare functions are plausible.
- The derived estimates are comparable in magnitude to those found in existing literature.
Conclusions:
- Directly measuring subjective welfare and expectations can significantly simplify and improve intertemporal consumption models.
- The proposed method offers a more robust alternative to traditional Euler equation estimation.
- The model's requirement for only cross-section data enhances its practical applicability.
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