본 연구는 우리나라 노인의 거주형태의 변화와 그러한 거주형태의 변화가 갖는 의미를 심층적으로 이해하기 위하여 노인의 거주형태를 자녀와의 동거, 근거리 별거, 원거리 별거로 나누어 그 결정요인을 분석하였다. 한국 보건사회연구원에서 1998년도에 실시한 『1998년도 전국 노인생활실태 및 복지욕구조사』의 원자료를 사용한 분석결과의 주요내용은 다음과 같다. 첫째, 지속적인 핵가족화에도 불구하고 자녀가 있는 노인의 48.8%는 자녀와 동거하고 있으며 10.2%는 동일가구를 형성하고 있지는 않지만 가까운 거리에서 거주하고 있다. 둘째, 노인의 거주형태에 있어 노인의 거주지역별 차이가 매우 크다. 읍·면부 거주 노인의 경우 자녀와의 동거율은 40.4%로 동부 거주노인의 53.7%보다 낮은 반면, 원거리 별거율은 53.0%로 동부의 33.9%보다 월등히 높다. 셋째, 자녀의 거주유형에 있어 지역과 결혼상태라고 하는 배경변수, 인구학적 ‘가용성’으로서의 아들이 있는가 여부, 독립적인 소득원이 있어 경제적 ‘가능성’이 있는가, 노인이 자녀와의 별거를 선호하는가 하는 문화적 ‘선호’가 중요한 결정요인인 것으로 밝혀졌다. 따라서 예견되는 노인의 경제적 능력의 증대, 단독가구 선호의 증대, 자녀수의 감소는 미래의 노인세대들의 자녀와의 별거가구 형성률을 높일 것으로 예견된다. 위와 같은 분석결과에 기초해 볼 때 다양한 변화에도 불구하고 가족은 노인부양의 가능성을 갖고 있으므로 그 ‘가능성’을 ‘현재화’시킬 수 있는 구체적인 방안을 노인의 거주형태별로 즉, 자녀동거, 근거리 별거, 원거리 별거별로 마련하여야 할 것이다. 또한 실제적인 서비스제공 전략을 수립함에 있어서 지역적 차이를 심각히 고려해야 한다. 읍·면부의 경우 신체적인 부양을 받을 가능성이 낮은 노인이 절반을 넘고 있으므로, 이들을 위한 정책적인 관심이 필요하다.;The purpose of this study is to find factors which affect living arrangement of older parents. Previous research has dichotomized living arrangements of older parents whether they coreside with their children or otherwise. However, this study proposes that living arrangements of older parents can be better understood by dividing living arrangements of older parents in three categories such as coresidence, living in a separate household in the same community (modified extended family), living in a separate household in a distanced community (extended family). This study analyzes the data of ??Living Profile and Welfare Service Needs of Older Persons in Korea?? survey conducted by KIHASA in 1998 to understand the current status of living arrangements and to find out the determinants of living arrangements. The major findings are as follows. First, in spite of rapid nuclearization of Korean families, 48.8% of older parents coreside with their children and 10.2% are living in a separate household in the same community. Second, there is a big difference in living arrangements between rural and urban areas. In rural areas, the rate of older persons living with their children is 40.4%, while the rate in urban areas is 53.7%. On the other hand, 53.0% of older persons lived apart far away in rural areas, while the rate in urban areas is 33.9%. Third, according to the multinomial logit analysis, statistically significant determinants of living arrangement of older persons are; (1) region and marital status as background variables; (2) having a son as demographic 'availability'; (3) possession of independent income source as 'feasibility' of independent living arrangements; (4) preference to living with children as a cultural 'desirability' variable. Based on above-mentioned results, I suggest that the government must develop the policies and programmes to activate care-giving potentiality of the families by living arrangements patterns. Because more than half of older persons in rural areas live far away from their children, rural elderly are vulnerable in terms of physical care-receiving. Therefore, we have to pay attention to rural elderly in policy making and implementation of social service policies.
1988년 국민연금제도의 도입 이후 기금적립금 규모는 지속적으로 막대한 규모로 증가하고 있어 국민연금기금이 금융부문은 물론 경제전반에 미치는 파급효과가 매우 클 것으로 예상된다. 따라서 본 고에서는 국민연금부문을 포함한 거시계량모형을 구축하여 GDP, 임금수준, GDP환가지수, 고용수준 및 회사채유통수익률 등의 주요 거시경제변수들의 국민연금기금에 대한 민감도 분석을 통하여 국민연금기금이 이들 거시경제변수에 미치는 파급효과를 분석하였다. 또한 국민연금기금은 현재의 빠른 기금증가에도 불구하고 저부담-고급여 구조와 인구구조의 고령화 등으로 장기적 관점에서는 재정 건전성이 문제로 지적되고 있는 바, 분석은 국민연금 기금규모의 변화가 거시경제변수에 미치는 파급효과를 장기적인 문제점중의 하나인 재정건전성 문제에 대한 근본적인 해결방안인 ‘보험료의 증가’와 ‘급여의 감소’ 두 가지 시나리오 하에 분석하였다. 분석결과, 주요 거시경제변수의 적립기금 단위변화에 대한 민감도의 크기는 보험급여의 감소에 의한 경우가 보험료증가에 의한 경우보다 크게 나타났으며, 주요 거시경제변수별 민감도의 크기는 두 시나리오 모두 회사채유통수익률, 임금수준, GDP, GDP환가지수, 고용수준의 순으로 나타났다.;Since the introduction of the National Pension Scheme (NSP) in 1988, the balance of the National Pension Fund (NPF) has been rising continuously, reaching 61 trillion won in 2000. The Fund is expected to reach 517 trillion won, taking up 43.4% of GDP, by the year 2020. The huge volume of the NPF is likely to affect profoundly not only the banking sector and stock market of Korea, but also Korea's economy as a whole. Despite this, however, the problem of financing has long been at the center of heated debate among pension specialists and scholars because, under the current low-contributionhigh- benefit structure and the increasing pace of population aging, the depletion of the fund is likely in a long-term perspective. In this regard, this paper aims to analyze, based on the national pension macroeconometric (NPM) model, the impact the NPF has on such major macroeconomic fundamentals as GDP, GDP deflator, national employment level, wage and interest rate. The sensitivity analysis of major economic variables is carried out in the context of two scenarios that often use such pensionrelated exogenous variables as contribution and benefit. In the first scenario, the contribution is increased by 10%, while in the second, the benefit is reduced by 10%. In both scenarios, the problem of financing is alleviated. The NPM model, a modified version of Keynesian macroecomomic model, reflects restraint on supply side by GDP gap. The GDP gap affects the price level, and the goods sector, in turn, is influenced by the change in the real money supply that is associated with a change in the price level. The analysis of these scenarios is conducted based on Gauss-Seidel Method (historical simulation analysis). The NPM model is composed of 12 behavioral equations that are estimated by Ordinary Least Square (OLS) method, 4 equations of definition and 1 identity. NPM model used time series data of National Income Account from 1970 to 2000. In estimating behavioral equations, the problem of sample size arises due to the short history of the NPS. If the estimating equation contains a national pension-related variable as an independent variable, the availability of annual data is confined to 13 data points. So, to avoid the problem of insufficient data, national pension-related variables are included in the other explanatory variables of the behavioral equations. For example, disposable income, one of the explanatory variables in private consumption function, is drawn by subtracting total contribution from, and adding total payment to, the disposable income amount of national income account. For the criterion of the NPM model, arithmetic mean of root mean squared error (RSME) of endogenous variable (0.089) is used. The simulation results are as follows. In the scenario of increased contribution rate, a 1% increase in NPF leads to increases in GDP (1.26%), employment level (0.35%), wage (1.66%) and GDP deflator (0.75%), while bringing out a 19.00% decrease in the interest rate. In the second scenario of decreased benefit level, a 1% increase in NPF brought increases in GDP (1.83%), employment level (0.54%), wage (2.04%) and GDP deflator (0.81%), but the interest rate falls by 33.26%. In terms of the degree of sensitivity of the macroeconomic variables, interest rate came first, followed in order by rate, wage, GDP, GDP deflator, and employment level in both scenarios. The degree of impact is found to have been greater in the second scenario than in the first. The immediate implication for policymakers is that they should take benefit reduction approach to alleviate the problem of financing NPS.