東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back to Search results for [ null ]

Switch To: Labeled | MARC Mode | ISBD

Understanding On-Time Mortgage Payme...

Preece, Gloria Lynn.

Linked to FindBook

Google Book

Amazon

博客來

Understanding On-Time Mortgage Payment History in the Wake of the 2007 Financial Crisis: An Application of the Responsible Financial Actions Index.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Understanding On-Time Mortgage Payment History in the Wake of the 2007 Financial Crisis: An Application of the Responsible Financial Actions Index./
Author:	Preece, Gloria Lynn.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2019,
Description:	233 p.
Notes:	Source: Dissertations Abstracts International, Volume: 81-02, Section: B.
Contained By:	Dissertations Abstracts International81-02B.
Subject:	Finance. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13856891
ISBN:	9781085561310

Understanding On-Time Mortgage Payment History in the Wake of the 2007 Financial Crisis: An Application of the Responsible Financial Actions Index.
Preece, Gloria Lynn.

Understanding On-Time Mortgage Payment History in the Wake of the 2007 Financial Crisis: An Application of the Responsible Financial Actions Index. - Ann Arbor : ProQuest Dissertations & Theses, 2019 - 233 p.

Source: Dissertations Abstracts International, Volume: 81-02, Section: B.

Thesis (Ph.D.)--Kansas State University, 2019.

This item must not be sold to any third party vendors.

The purpose of this study was to investigate the determinants that explain and predict an individual's propensity to perform responsible financial actions and make on-time mortgage payments. The research was guided by Social Cognitive Theory (SCT) (Bandura, 1986) and explored personal factors, environmental influences, and attributes of behavior as co-factors within a combined causal framework.Data for this study came from the publicly available, 2009, 2012, and 2015 National Financial Capability Study (NFCS) datasets. These datasets were selected for the specific questions, timeframe, and richness of the financial information provided by the respondents. Responses for each survey were weighted to be representative of Census distributions according to the American Community Survey (FINRA Investor Education Foundation, 2017). The data are weighted to be representative of each state based on age, gender, ethnicity, and education.The two variables of interest were the responsible financial actions index and mortgage payment history. To isolate the determinants of these two variables more accurately, this research adopted a multi-step approach to the analytical procedure. The analyses began with the construction of the responsible financial actions index - unifying the most fundamental responsible financial actions recommended by financial professionals into a single value. Once confirmed as a valid and reliable measure, the responsible financial actions index was explored empirically as both a dependent variable and a target variable.Further analyses involved the application of the SCT Triadic Model to develop OLS and Multinomial Logistic regression models. Utilizing a series of regression models, this study explored empirically the hypothesized relationships among variables categorized as personal factors, environmental influences, attributes of behavior, and on-time mortgage payment history.When exploring variables to predict the responsible financial actions index, the OLS regression models provided consistent findings when analyzing data from the 2009, 2012, and 2015 surveys. As predicted by the SCT Triadic Model, the following personal factors, age, subjective and objective financial knowledge, financial self-efficacy, and financial risk tolerance were significant across all three survey years. The following environmental influences were significant: income, educational attainment, and marital status.To estimate the odds of paying a mortgage on-time, a series of Multinomial Logistic regression analyses were conducted. When evaluating these results, key findings were identified across all three years of data in two models. Model 1, never late vs. late once, and Model 2, never late vs. late more than once. In Model 1, for all three years, self-efficacy was found to be predictive of on-time mortgage payment history. In Model 2, for all three years, both financial self-efficacy and the financial actions index were found to be predictive of on-time mortgage payment history.These findings contribute to the body of empirical literature related to consumer economics and personal financial planning providing insight and understanding for how financial outcomes can be improved through basic responsible financial actions. This has important implications for financial professionals, counselors, and educators given the applicable value for the responsible financial actions index. For example, these results should encourage educators to work towards identifying new pedagogical approaches for improving financial self-efficacy among students.

ISBN: 9781085561310Subjects--Topical Terms:

542899
Finance.

Understanding On-Time Mortgage Payment History in the Wake of the 2007 Financial Crisis: An Application of the Responsible Financial Actions Index.
LDR:04688nmm a2200313 4500 001 2264147
005 20200423112732.5
008 220629s2019 ||||||||||||||||| ||eng d
020 $a 9781085561310
035 $a (MiAaPQ)AAI13856891
035 $a AAI13856891
040 $a MiAaPQ $c MiAaPQ
100 1 $a Preece, Gloria Lynn. $3 3541253
245 1 0 $a Understanding On-Time Mortgage Payment History in the Wake of the 2007 Financial Crisis: An Application of the Responsible Financial Actions Index.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2019
300 $a 233 p.
500 $a Source: Dissertations Abstracts International, Volume: 81-02, Section: B.
500 $a Advisor: Kiss, Elizabeth D.;MacDonald, Maurice M.
502 $a Thesis (Ph.D.)--Kansas State University, 2019.
506 $a This item must not be sold to any third party vendors.
520 $a The purpose of this study was to investigate the determinants that explain and predict an individual's propensity to perform responsible financial actions and make on-time mortgage payments. The research was guided by Social Cognitive Theory (SCT) (Bandura, 1986) and explored personal factors, environmental influences, and attributes of behavior as co-factors within a combined causal framework.Data for this study came from the publicly available, 2009, 2012, and 2015 National Financial Capability Study (NFCS) datasets. These datasets were selected for the specific questions, timeframe, and richness of the financial information provided by the respondents. Responses for each survey were weighted to be representative of Census distributions according to the American Community Survey (FINRA Investor Education Foundation, 2017). The data are weighted to be representative of each state based on age, gender, ethnicity, and education.The two variables of interest were the responsible financial actions index and mortgage payment history. To isolate the determinants of these two variables more accurately, this research adopted a multi-step approach to the analytical procedure. The analyses began with the construction of the responsible financial actions index - unifying the most fundamental responsible financial actions recommended by financial professionals into a single value. Once confirmed as a valid and reliable measure, the responsible financial actions index was explored empirically as both a dependent variable and a target variable.Further analyses involved the application of the SCT Triadic Model to develop OLS and Multinomial Logistic regression models. Utilizing a series of regression models, this study explored empirically the hypothesized relationships among variables categorized as personal factors, environmental influences, attributes of behavior, and on-time mortgage payment history.When exploring variables to predict the responsible financial actions index, the OLS regression models provided consistent findings when analyzing data from the 2009, 2012, and 2015 surveys. As predicted by the SCT Triadic Model, the following personal factors, age, subjective and objective financial knowledge, financial self-efficacy, and financial risk tolerance were significant across all three survey years. The following environmental influences were significant: income, educational attainment, and marital status.To estimate the odds of paying a mortgage on-time, a series of Multinomial Logistic regression analyses were conducted. When evaluating these results, key findings were identified across all three years of data in two models. Model 1, never late vs. late once, and Model 2, never late vs. late more than once. In Model 1, for all three years, self-efficacy was found to be predictive of on-time mortgage payment history. In Model 2, for all three years, both financial self-efficacy and the financial actions index were found to be predictive of on-time mortgage payment history.These findings contribute to the body of empirical literature related to consumer economics and personal financial planning providing insight and understanding for how financial outcomes can be improved through basic responsible financial actions. This has important implications for financial professionals, counselors, and educators given the applicable value for the responsible financial actions index. For example, these results should encourage educators to work towards identifying new pedagogical approaches for improving financial self-efficacy among students.
590 $a School code: 0100.
650 4 $a Finance. $3 542899
650 4 $a Behavioral sciences. $3 529833
650 4 $a Cognitive psychology. $3 523881
690 $a 0508
690 $a 0602
690 $a 0633
710 2 $a Kansas State University. $b Department of Family Studies and Human Services. $3 1030045
773 0 $t Dissertations Abstracts International $g 81-02B.
790 $a 0100
791 $a Ph.D.
792 $a 2019
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13856891