Excerpt
Table of contents
Abstract
List of tables and figures
Table of Abbreviations and Symbols
1. Introduction
2. Theoretical Background of estimating the EIS
2.1 Micro- and Macrodata
2.2 Predictive Power
2.3 Evidence of the Elasticity of Intertemporal Substitution (EIS)
3. Data
4. Empirical results
4.1 Testing the predictive power
4.2 Estimating the EIS
4.3 Tests for Excess Sensitivity
5) Conclusion
References
Tables
Table 1 Baseline Specification from (Crump, et al., 2015, p. 33)
Table 2 Qualitative results of respondent’s predictions
Table 3 Quantitative results of respondent’s predictions
Table 4 Regression of the QTP by demographic-groups
Table 5 Baseline Specification own approach
Table 6 Baseline Specification for different demographic groups
Table 7 Excess Income Sensitivity
Table 8 Excess Stock Price Sensitivity
Table 9 Excess Earnings Sensitivity
Table 10 Long Term Future Inflation Sensitivity
Table 11 Time Dependent Fixed Effects
Appendix
Survey Questions
Conditioning Variables and Specifications
Control Variables: Demos (Categorical)
Control Variables: Test Predictions
Control Variables: Excess Sensitivity
Figure 1 Mean value of QTP4INFL separated by education level & race
- Quote paper
- Julian Fischer (Author), 2020, Estimation of Elasticity of Intertemporal Substitution. Empirical Monetary Economics, Munich, GRIN Verlag, https://www.grin.com/document/961676
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