Publications

A Study on Improving Methdology for Social Security Financial Projection. : Focusing on Financial Projection Model

Title
A Study on Improving Methdology for Social Security Financial Projection. : Focusing on Financial Projection Model
Alternative Author(s)

Song, Changgil ; Ko, Kyung-pyo ; Choi, Hyunsoo ; Kim, Jiwoon

Keyword
Social Security Financial Projection ; Component-based model ; Actuarial model ; Micro-simulation model ; Overlapping Generations Model of General Equilibrium
Publication Year
2022
Publisher
Korea Institute for Health and Social Affairs
Abstract
This study is about improving the methodologies for social security financial projection. By reviewing domestic and foreign financial projection situations, it suggests that in order to set the correct direction for social security systems in the face of rapidly changing populations and economic conditions, financial projection methodologies need to be advanced. The study classifies and reviews three types of financial projection models that can be used for this purpose and presents a plan to improve the way financial projection has been combined without consistent standards. Furthermore, it argues that this plan is significant because it meets the leading practice of the OECD and allows for both macro and micro policy analysis.
Table Of Contents
Abstract 1
요 약 3

제1장 서 론 5
제1절 연구의 배경 및 목적 7
제2절 연구의 내용 및 방법 12

제2장 사회보장 재정추계 현황 15
제1절 국내 사회보장 재정추계 현황 17
제2절 국내외 사회보장 재정추계 비교 53
제3절 소결 68

제3장 주요 재정추계 모형 검토 71
제1절 조성법에 기초한 모형 73
제2절 마이크로시뮬레이션 모형 89
제3절 중첩세대 일반균형 모형 99
제4절 소결 115

제4장 사회보장 재정추계 방법론 개선 방안 119
제1절 재정추계 주요 가정변수 일원화 방안 121
제2절 사회보장 재정추계모형의 이원화 방안 126
제3절 소결 131

제5장 결론 및 시사점 133
제1절 주요 결과 135
제2절 연구의 한계점 137
제3절 시사점 138

참고문헌 141
Local ID
Miscellaneous Reports 2022-07
ISBN
9788968279379
DOI
10.23060/kihasa.i.2022.07
KIHASA Research
Subject Classification
Income protection > General income protection
Show simple item record

File Download

Link

share

qrcode
share
Cited 0 time in

Item view & Downlod Count

Loading...

License

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.