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Erschienen in: The Journal of Real Estate Finance and Economics 2/2020

06.11.2019

A Microeconomic Model for the Decision of Reverse Mortgage Borrowers to Sell their House Early and its Application on the Estimation of Termination Rates

verfasst von: Shu Ling Chiang, Ming Shann Tsai

Erschienen in: The Journal of Real Estate Finance and Economics | Ausgabe 2/2020

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Abstract

Reverse mortgage (RM) borrowers may get benefit from terminating the contract by selling their house early. For analyzing the termination rate, the authors investigate the rules that govern an elder’s decision to sell a house early. The decision is found to be influenced by the strength of the elder’s desire to stay in the home, the uncertainty of the elder’s death time, and the stochastic price of the house. To more thoroughly elucidate changes in the probability of a sale over time, the authors provide an example illustrating how one can use this decision rule to calculate the probability distribution for selling a house early. Sensitivity analyses are provided to show the influence of the model’s parameters on this distribution. Evidence that the model estimates the termination rate more accurately than the traditional model is also provided. The authors’ investigation should not only help RM lenders better understand the RM borrower’s decision-making process but also help them accurately estimate the RM’s termination rate.

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Fußnoten
1
The 2007 Survey of Consumer Finance (SCF) data suggest that for 6.5 million homeowners age 62 or above, housing wealth represents at least 80% of their total wealth (Shan, 2011).
 
2
The results of a consumer survey by Bayer and Harper (2000) demonstrate that most older Americans would prefer to “age in place” in their own home. An AARP survey, cited by Venti and Wise (2000), found that 89% of surveyed Americans over 55 years old reported that they wanted to remain in their current residence as long as possible.
 
3
Because of the non-recourse provision, RM lenders may incur a loss (defined as the “crossover risk”) if the RM balance exceeds the value of the property at termination. Many studies have provided analyses of RM risks while offering pricing models for RMs (Szymanoski, 1994; Rodda, Lam and Youn, 2004; Cox and Lin, 2007).
 
4
The detailed proof is shown in Appendix 2.
 
5
The detailed proof is shown in Appendix 2.
 
6
As shown in note 1, housing wealth represents at least 80% of elder’s total wealth. In our numerical example, we assume the house value to be $100,000. Thus, the other wealth is $25,000.
 
7
The contract rate includes the yearly insurance premium of 0.5%.
 
8
All RM parameters are taken from a real RM contract. Please see U.S. Department of Housing and Urban Development, available at: http://​search.​usa.​gov/​search?​affiliate=​housingandurband​evelopment&​query=​4235. We ignore the initial mortgage insurance premium, the closing cost and the servicing fee.
 
9
These figures are not shown because the results are similar to those in Figure 4.1.
 
10
All these values are actual data, obtained from FY 2012 HECM Actuarial Review, Exhibit IV-2. The website is: http://​portal.​hud.​gov/​hudportal/​HUD?​src=​/​program_​offices/​housing/​rmra/​oe/​rpts/​actr/​actrmenu. For simplicity of calculation, we merge the tenure and line-of-credit payment plans into the tenure payment plan, and we merge the term and line-of-credit payment plans into the term payment plan.
 
11
The values in this table are actual data taken from the table “Actual and expected termination rates where age of youngest borrower at origination from 74 to 76” in the FHA report entitled “Evaluation report of the FHA Home Equity Conversion Mortgage Insurance Demonstration - Final Report.”
 
Literatur
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Metadaten
Titel
A Microeconomic Model for the Decision of Reverse Mortgage Borrowers to Sell their House Early and its Application on the Estimation of Termination Rates
verfasst von
Shu Ling Chiang
Ming Shann Tsai
Publikationsdatum
06.11.2019
Verlag
Springer US
Erschienen in
The Journal of Real Estate Finance and Economics / Ausgabe 2/2020
Print ISSN: 0895-5638
Elektronische ISSN: 1573-045X
DOI
https://doi.org/10.1007/s11146-019-09725-9

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