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The elasticity of intertemporal substitution: new evidence from 401(k) participation. (2008). Kumar, Anil ; Engelhardt, Gary V..
In: Working Papers.
RePEc:fip:feddwp:0812.

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Cited: 16

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Cites: 48

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  1. Documentation of the PUblic Policy Model for Austria and other European countries (PUMA). (2020). Strohner, Ludwig ; Berger, Johannes.
    In: Research Papers.
    RePEc:zbw:ecoarp:11.

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  2. Elasticity of Intertemporal Substitution in Consumption in the Presence of Inertia: Empirical Evidence from a Natural Experiment. (2017). Ravi, Shamika ; Kapoor, Mudit.
    In: Management Science.
    RePEc:inm:ormnsc:v:63:y:2017:i:12:p:4188-4200.

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  3. Parameterising a detailed dynamic programming model of savings and labour supply using cross-sectional data. (2017). van de Ven, Justin.
    In: International Journal of Microsimulation.
    RePEc:ijm:journl:v10:y:2017:i:1:p:135-166.

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  4. Parameterising the LINDA microsimulation model of benefit unit savings and labour supply. (2016). van de Ven, Justin.
    In: National Institute of Economic and Social Research (NIESR) Discussion Papers.
    RePEc:nsr:niesrd:464.

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  5. Technological change and the U.S. real interest rate. (2014). Alexandrakis, Constantine.
    In: Journal of Economics and Finance.
    RePEc:spr:jecfin:v:38:y:2014:i:4:p:672-686.

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  6. The influence of decision costs on investments in Individual Savings Accounts. (2013). vandeVen, Justin ; van de Ven, Justin .
    In: National Institute of Economic and Social Research (NIESR) Discussion Papers.
    RePEc:nsr:niesrd:407.

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  7. Empirical Analysis of Household Savings Decisions in Context of Uncertainty: A cross-sectional approach. (2013). vandeVen, Justin ; van de Ven, Justin .
    In: National Institute of Economic and Social Research (NIESR) Discussion Papers.
    RePEc:nsr:niesrd:406.

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  8. Empirical Analysis of Household Savings Decisions in Context of Uncertainty: A cross-sectional approach. (2013). van de Ven, Justin ; Lucchino, Paolo ; vandeVen, Justin.
    In: National Institute of Economic and Social Research (NIESR) Discussion Papers.
    RePEc:nsr:niesrd:11169.

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  9. Empirical Analysis of Household Savings Decisions in Context of Uncertainty: A Cross-Sectional Approach. (2013). van de Ven, Justin ; Lucchino, Paolo ; vandeVen, Justin.
    In: Melbourne Institute Working Paper Series.
    RePEc:iae:iaewps:wp2013n21.

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  10. Asset Pricing under Quantile Utility Maximization. (2012). Giovannetti, Bruno.
    In: Working Papers, Department of Economics.
    RePEc:spa:wpaper:2012wpecon16.

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  11. Consumption-based Asset Pricing Loss Aversion. (2012). Andries, Marianne.
    In: 2012 Meeting Papers.
    RePEc:red:sed012:571.

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  12. An Empirical Investigation of Quasi-hyperbolic Discounting. (2010). Weale, Martin ; van de Ven, Justin ; vandeVen, Justin.
    In: National Institute of Economic and Social Research (NIESR) Discussion Papers.
    RePEc:nsr:niesrd:2645.

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  13. Consumption and Saving: Models of Intertemporal Allocation and Their Implications for Public Policy. (2010). Weber, Guglielmo ; Attanasio, Orazio.
    In: Journal of Economic Literature.
    RePEc:aea:jeclit:v:48:y:2010:i:3:p:693-751.

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  14. An Empirical Evaluation of the Long-Run Risks Model for Asset Prices. (2009). Yaron, Amir ; Bansal, Ravi ; Kiku, Dana .
    In: NBER Working Papers.
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  15. The elasticity of intertemporal substitution: New evidence from 401(k) participation. (2009). Kumar, Anil ; Engelhardt, Gary V..
    In: Economics Letters.
    RePEc:eee:ecolet:v:103:y:2009:i:1:p:15-17.

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  16. Money on the table: Some evidence on the role of liquidity constraints in 401(k) saving. (2008). Kumar, Anil ; Engelhardt, Gary V..
    In: Economics Letters.
    RePEc:eee:ecolet:v:99:y:2008:i:2:p:402-404.

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References

References cited by this document

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  22. Data Appendix This material that follows is from the appendix in Engelhardt and Kumar (forthcoming). It describes the construction of and gives background on the analysis dataset. The interested reader also should consult Engelhardt and Kumar (2006). The data are drawn from the first wave of the HRS, a nationally representative random sample of 51-61 year olds and their spouses (regardless of age), which asked detailed questions about wealth, demographics, and spousal characteristics in 1992, and household income, tax information, and IRA contributions in 1991. So, for the purposes of the empirical analysis, periods t and t + 1 refer to 1991 and 1992, respectively.
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  33. It is important to note that the tax function for Ap in the endogenous variable is based on the tax system in 1991, but the tax function for the instruments is different because it is based on the tax system in 1989 (indicated by the subscript t - 2in (A.2)-(A.3) above). For individuals with AGI below $50,000, the functions were essentially the same, but differed for those above this level. Specifically, above this income level in 1989, the marginal tax rate increased from 28 to 33 percent due to the phase-out of the personal exemption. However, the Budget Act of 1990 raised the top marginal tax rate to 31 percent and changed the phase-out of the personal exemption. Therefore, the nonlinearity in the instruments' tax function differs from that for the endogenous regressor due to the tax-law change, which is taken as exogenous to the individual. About 15 percent of the sample is affected by this differential non-linearity in the instruments.
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