연금이 역모기지에 대한 태도와 가입의사결정에 미치는 영향

• 영문명: The Effects of Pensions on the Attitude and Decision Making for the Reverse Mortgage Loan
• 발행기관: 한국부동산학회
• 저자명: 전경구(Chun, Kyung Ku)
• 간행물 정보: 『부동산학보』不動産學報 第55輯, 183~196쪽, 전체 13쪽
• 주제분류: 경제경영 > 경제학
• 파일형태: PDF
• 발행일자: 2013.12.31

영문 초록

1. CONTENTS (1) RESEARCH OBJECTIVES The purpose of this study is to examine the effects of the pension system on the potential demand of the reverse mortgage for the elderly by the logistic regression model and path analysis. Specifically, This paper analyzed the effects of the pensions and jobs on the attitude toward and decision making for the reverse mortgage focusing on the Daegu Metropolitan Area. (2) RESEARCH METHOD The logistic regression model was employed to analyze the potential demand of the reverse mortgage loan. The model used some control variables which have been argued to affect the attitude for the reverse mortgage and decision making to loan the mortgage. Based on the results of the logistic regression analysis this study employed the path analysis model in order to analyze the causal relationships among independent variables. (3) RESEARCH FINDINGS In the analysis of the logistic regression model which employed the pensions and jobs controlling other variables which argued to affect the potential demand of the reverse mortgage, only the amounts of the pensions appeared to be significant. However, in the analysis of the model which excluded the amounts of pensions, the jobs turned out to affect the dependent variables of the models. 2. RESULTS The path analysis suggested that the amounts of pensions and attitude toward the reverse mortgage would be the mediators, while other independent variables were the exogenous variables in explaining the decision making to loan the reverse mortgage. The study discussed policy implications of the findings.

목차

Abstract

Ⅰ. 서론

Ⅱ. 선행연구 고찰 및 이론적 논의

Ⅲ. 분석모형

Ⅳ. 분석결과

Ⅴ. 결론

參考文獻

키워드

역모기지 연금제도 노령계층 로지스틱 회귀모형 경로분석 reverse mortgage pension system aging logistic regression model path analysis