A evolução do aumento da expectativa de vida registrada nas últimas décadas foi uma conquista significativa para a sociedade e trouxe novos desafios em diversas áreas do conhecimento humano. Dentre os impactos do aumento da longevidade, destaca-se sua influência no equilíbrio técnico dos planos previdenciários. Nas entidades de previdência complementar, a identificação oportuna de possíveis desvios da premissa da mortalidade à realidade subjacente visa garantir a solvência e a manutenção dos benefícios de longo prazo. Assim, o presente estudo tem por objetivo estimar os fatores de improvement (fator redutor de mortalidade) para a população coberta por planos privados de aposentadoria, com base no método Lee-Carter e na abordagem CMI (Continuous Mortality Investigation), bem como analisar o impacto da incorporação da estimativa do aumento da expectativa de vida no fluxo de caixa atuarial em uma carteira de benefício definido. Em virtude da carência de informações históricas de tábuas de mortalidade para o Brasil, fez-se uso da técnica de pareamento (propensity score), o qual consiste na identificação do país que mais se assemelha ao Brasil no que se refere às variáveis socioeconômicas relevantes para prever a evolução da expectativa de vida. Essa técnica foi aplicada para uma amostra de 21 países da OCDE. As variáveis socioeconômicas consideradas no estudo foram: Fertilidade, PIB per capita, Crescimento anual do PIB, Saúde, Desemprego, Gini, Analfabetismo e Escolaridade. Diante dos testes efetuados, Portugal foi escolhido para servir de base para as projeções da mortalidade e obtenção dos fatores de improvement, em decorrência da técnica de pareamento e do teste de aderência realizado. Comparando-se as médias dos fluxos de caixa da AT-2000 com e sem improvement e levando-se em consideração os cenários de taxas de juros de 3%, 4%, 5% e 6% ao ano, observou-se que, não considerar o improvement, gera uma elevação do fluxo atuarial entre 7,15% a 10,51% para a carteira simulada. A projeção pelo método CMI forneceu resultado semelhante, sendo que o impacto variou entre 7,05% a 10,32%. Embora os métodos de improvement sejam bem diferentes, é importante destacar que os resultados foram bem semelhantes. Um ponto que merece preocupação é a questão da taxa de juros, pois com a tendência de queda, no longo prazo, maior será a sensibilidade do impacto da projeção do risco de longevidade. Adicionalmente, compararam-se os resultados obtidos com a Tábua Geracional RP-2000 e a Tábua SUSEP BR-EMS. Assim, os resultados anteriores mostram que não considerar a tendência de aumento da expectativa de vida na constituição das provisões técnicas pode expor as entidades de previdência a riscos pouco suportáveis no longo prazo. / The evolution of increased life expectancy recorded in recent decades has been a significant achievement for the society and brought new challenges in various areas of human knowledge. Among those, living longer has impacted the technical balance of the pension plans. In the private pension entities, the timely identification of possible deviations from the assumption of mortality to the underlying reality is to ensure the solvency and the maintenance of long-term benefits. Thus, based on Lee-Carter method and approach CMI (Continuous Mortality Investigation Bureau), this study aims to estimate the factors of improvement (reduction factor of mortality) for the population covered by pension plans as well as analyze the impact of incorporating an estimated longer life expectancy on actuarial cash flow into a portfolio of defined benefits. Due to a lack of historical information about mortality tables of Brazil, the matching technique (propensity score) was used to identify the country which is the most similar to Brazil concerning relevant socioeconomic variables, in order to predict the evolution of life expectancy. This technique was applied on 21 OECD sample countries. Socioeconomic variables considered were: Fertility, GDP per capita, annual growth of GDP, Health, Unemployment, Gini, Illiteracy and Schooling. According to test results, Portugal was chosen as the basis for projections of mortality and acquisition of factors of improvement, due to the matching technique and the adherence test performed. Comparing the averages of the cash flows of the AT-2000 with and without improvement and taking into account the scenarios of interest rates of 3%, 4%, 5% and 6% a year, it was observed that not considering the improvement generates an increased actuarial flow between 7.15% and 10.51% for the simulated portfolio. The CMI method provided similar projection, and the impact varied from 7.05% to 10.32%. Even though the methods of improvement are quite different, it is important to emphasize that the results were much the same. One point that deserves concern is the issue of interest rate since, due to the declining trend in the long run more sensitive will be the impact of the projection of longevity risk. Additionally, those results were compared with the table Generational RP-2000 and BRTable SUSEP EMS. Thus, previous results show that not considering the trend of increasing life expectancy in the establishment of technical provisions can expose the private pension entities to a little bearable risk in the long term.

A evolução do aumento da expectativa de vida registrada nas últimas décadas foi uma conquista significativa para a sociedade e trouxe novos desafios em diversas áreas do conhecimento humano. Dentre os impactos do aumento da longevidade, destaca-se sua influência no equilíbrio técnico dos planos previdenciários. Nas entidades de previdência complementar, a identificação oportuna de possíveis desvios da premissa da mortalidade à realidade subjacente visa garantir a solvência e a manutenção dos benefícios de longo prazo. Assim, o presente estudo tem por objetivo estimar os fatores de improvement (fator redutor de mortalidade) para a população coberta por planos privados de aposentadoria, com base no método Lee-Carter e na abordagem CMI (Continuous Mortality Investigation), bem como analisar o impacto da incorporação da estimativa do aumento da expectativa de vida no fluxo de caixa atuarial em uma carteira de benefício definido. Em virtude da carência de informações históricas de tábuas de mortalidade para o Brasil, fez-se uso da técnica de pareamento (propensity score), o qual consiste na identificação do país que mais se assemelha ao Brasil no que se refere às variáveis socioeconômicas relevantes para prever a evolução da expectativa de vida. Essa técnica foi aplicada para uma amostra de 21 países da OCDE. As variáveis socioeconômicas consideradas no estudo foram: Fertilidade, PIB per capita, Crescimento anual do PIB, Saúde, Desemprego, Gini, Analfabetismo e Escolaridade. Diante dos testes efetuados, Portugal foi escolhido para servir de base para as projeções da mortalidade e obtenção dos fatores de improvement, em decorrência da técnica de pareamento e do teste de aderência realizado. Comparando-se as médias dos fluxos de caixa da AT-2000 com e sem improvement e levando-se em consideração os cenários de taxas de juros de 3%, 4%, 5% e 6% ao ano, observou-se que, não considerar o improvement, gera uma elevação do fluxo atuarial entre 7,15% a 10,51% para a carteira simulada. A projeção pelo método CMI forneceu resultado semelhante, sendo que o impacto variou entre 7,05% a 10,32%. Embora os métodos de improvement sejam bem diferentes, é importante destacar que os resultados foram bem semelhantes. Um ponto que merece preocupação é a questão da taxa de juros, pois com a tendência de queda, no longo prazo, maior será a sensibilidade do impacto da projeção do risco de longevidade. Adicionalmente, compararam-se os resultados obtidos com a Tábua Geracional RP-2000 e a Tábua SUSEP BR-EMS. Assim, os resultados anteriores mostram que não considerar a tendência de aumento da expectativa de vida na constituição das provisões técnicas pode expor as entidades de previdência a riscos pouco suportáveis no longo prazo. / The evolution of increased life expectancy recorded in recent decades has been a significant achievement for the society and brought new challenges in various areas of human knowledge. Among those, living longer has impacted the technical balance of the pension plans. In the private pension entities, the timely identification of possible deviations from the assumption of mortality to the underlying reality is to ensure the solvency and the maintenance of long-term benefits. Thus, based on Lee-Carter method and approach CMI (Continuous Mortality Investigation Bureau), this study aims to estimate the factors of improvement (reduction factor of mortality) for the population covered by pension plans as well as analyze the impact of incorporating an estimated longer life expectancy on actuarial cash flow into a portfolio of defined benefits. Due to a lack of historical information about mortality tables of Brazil, the matching technique (propensity score) was used to identify the country which is the most similar to Brazil concerning relevant socioeconomic variables, in order to predict the evolution of life expectancy. This technique was applied on 21 OECD sample countries. Socioeconomic variables considered were: Fertility, GDP per capita, annual growth of GDP, Health, Unemployment, Gini, Illiteracy and Schooling. According to test results, Portugal was chosen as the basis for projections of mortality and acquisition of factors of improvement, due to the matching technique and the adherence test performed. Comparing the averages of the cash flows of the AT-2000 with and without improvement and taking into account the scenarios of interest rates of 3%, 4%, 5% and 6% a year, it was observed that not considering the improvement generates an increased actuarial flow between 7.15% and 10.51% for the simulated portfolio. The CMI method provided similar projection, and the impact varied from 7.05% to 10.32%. Even though the methods of improvement are quite different, it is important to emphasize that the results were much the same. One point that deserves concern is the issue of interest rate since, due to the declining trend in the long run more sensitive will be the impact of the projection of longevity risk. Additionally, those results were compared with the table Generational RP-2000 and BRTable SUSEP EMS. Thus, previous results show that not considering the trend of increasing life expectancy in the establishment of technical provisions can expose the private pension entities to a little bearable risk in the long term.

In Taiwan area, the mortality rates at all ages have decreased since the end of World War II, and the life expectancy of people has increased from 62 in 1950's to 75 in 2000, which is an increase of 21%. The mortality improvement of the elderly (i.e. people ages 65 and over) is especially significant, which effects in the rapid population aging in Taiwan area. For example, the proportion of the elderly has increased from 6.14%in 1990 to 8.52% in 2000. On one hand, the prolonged life span for an individual means a longer period of retirement life and thus a larger retirement fund. On the other hand, a longer life for the government is equivalent to a more thorough social system for the elderly. Therefore, a reliable mortality rates projection is essential to both personal financial and social welfare planning. 　　In this study, we have two main objectives: First, we explore some frequent used models, such as Lee-Carter, multivariate regression and principal component methods. We use the data between 1950 to 1995 as the pilot data and 1996 to 2000 as the test data to judge which method has the smallest prediction error. In addition, based on computer simulation, we also evaluate the performance of the estimation methods for the Lee-Carter method. The second part (and the other objective) of this study is to explore the effect of mortality improvement on the pure premium of annuity insurance. In particular, we calculate the pure premium of the annuity under the best model acquired from the first part, and compare those under 1989 TSO and other life tables. We found that the pure premiums under current life tables are under estimated, which may cause the insolvency of insurance companies.

Submitted by Viviane Lima da Cunha (viviane@biblioteca.ufpb.br) on 2017-06-28T11:50:33Z No. of bitstreams: 1 arquivototal.pdf: 2055386 bytes, checksum: 54b255e3d880369a58d905d38a9ae31b (MD5) / Made available in DSpace on 2017-06-28T11:50:33Z (GMT). No. of bitstreams: 1 arquivototal.pdf: 2055386 bytes, checksum: 54b255e3d880369a58d905d38a9ae31b (MD5) Previous issue date: 2017-02-02 / The increase in life expectancy registered in the last decades in Brazil was one of the most important achievements of society and brought new challenges in several areas of human knowledge. In order to know the future behavior of life expectancy, the goal of this work was to project the mortality of the Brazilian Semi-Arid from 2015 to 2050. The following methodological steps were performed: obtaining the correction factors of the deaths. Construction of complete Mortality Tables, assembling of databases with the age structure of annual mortality rates from 1980 to 2014, application of the Lee-Carter method for projection of mortality levels and patterns. This method combines a demographic model with a time series model. The projected life expectancies for the year 2050 for the Semi-arid States ranged from 78.25 to 83.82 years. It was concluded that the method produced plausible estimates of mortality levels and standards for most of the geographical areas of the Semi-Arid States, whose Mortality Tables produced may constitute important subsidies in the planning of health and welfare actions and in decision making for the populations of the Semiarid. / O aumento da expectativa de vida registrada nas últimas décadas no Brasil foi uma das mais importantes conquistas da sociedade e trouxe novos desafios em diversas áreas do conhecimento humano. Com o intuito de conhecer o comportamento futuro da expectativa de vida, o objetivo deste trabalho consistiu em projetar a mortalidade do Semiárido brasileiro de 2015 a 2050. Os seguintes passos metodológicos foram executados: obtenção dos fatores de correção dos óbitos; construção de Tábuas de Mortalidade completa; montagem dos bancos de dados com a estrutura etária das taxas de mortalidade anual de 1980 a 2014; aplicação do método de Lee-Carter para projeção dos níveis e padrões de mortalidade. Este método combina um modelo demográfico com um modelo de séries temporais. As expectativas de vida projetadas para o ano 2050 para os Estados do Semiárido variaram de 78,25 a 83,82 anos. Concluiu-se que o método produziu estimativas plausíveis dos níveis e padrões de mortalidade para a maioria dos espaços geográficos dos Estados do Semiárido, cujas Tábuas de Mortalidade produzidas podem se constituir em importantes subsídios no planejamento das ações em saúde e previdência e na tomada de decisão para as populações do Semiárido.

The performance of three methods of mortality modelling and forecasting are compared. These include the basic Lee–Carter and two functional demographic models; the basic Hyndman–Ullah and the weighted Hyndman–Ullah. Using age-specific data from the Human Mortality Database of two developed countries, France and the UK (England&Wales), these methods are compared; through within-sample forecasting for the years 1999-2018. The weighted Hyndman–Ullah method is adjudged superior among the three methods through a comparison of mean forecast errors and qualitative inspection per the dataset of the selected countries. The weighted HU method is then used to conduct a 32–year ahead forecast to the year 2050.

Mortality information is very important for national planning and health of a country. Mortality rate forecasting is a basic contribution for the projection of financial improvement of pension plans, well-being and social strategy planning. In the first part of the thesis, we fit the selected mortality rate models, namely the Power-exponential function based model, the ModifiedPerks model and the Heligman and Pollard (HP4) model to the data obtained from the HumanMortality Database [22] for the male population ages 1–70 of the USA, Japan and Australia. We observe that the Heligman and Pollard (HP4) model performs well and better fit the data as compared to the Power-exponential function based model and the Modified Perks model. The second part is to systematically compare the quality of the mortality rate forecasting using the second order Lee–Carter method with the selected mortality rate models. The results indicate that Power-exponential function based model and the Heligman and Pollard (HP4) model gives a more reliable forecast depending on individual countries.

Dissertation thesis creates a complex and modern scheme for stochastic modeling of demographic processes, which is universally applicable to any population in the world. All calculations are described in detail on the data of the Czech Republic. Throughout the work the attention is drawn to the issues, that every analyst must necessarily take into account in order to obtain correct results. Data comes mostly from the Czech Statistical Office database. However, some data matrices had to be calculated for the purposes of the thesis. Particular demographic processes (mortality, fertility and migration) are modeled using selected modern approaches (ARIMA models, Lee-Carter method) and based on the constructed models these processes are forecasted to the future. Using partially projected results a comprehensive demographic projection of the population of the Czech Republic is created up to the year 2050. However, not on the basis of the current state and expert expectations of the future development, but based on sophistically projected demographic events, which are explained using the trends and main components of their previous development. This demographic projection is created in three scenarios (marked SC1, SC2 and SC3), which are made from selected optimal models, presented in particular sections of the work. One part of the thesis is also the backward retropolation of age-specific number of net migrants by sex in the Czech Republic since 1948. On its basis the analysis and prediction of the migration can be done. The thesis is a synthesis of the projections of demographic processess of mortality, fertility, and migration. Final results are confronted with three scenarios of population projections of the Czech Republic created by the Czech Statistical Office and five scenarios of population projections by Eurostat. The purely statistical approach of demographic forecasting in comparison with deterministic models and expert expectations has its positives and negatives. Therefore, the different results due to various methodological approaches are discussed and compared in the conclusion of the thesis.

台灣地區的人口隨著生育率及死亡率的雙重下降而呈現快速老化，其中生育率的降低影響尤為顯著。民國50年時，台灣平均每位婦女生育5.58個小孩，到了民國70年卻只生育1.67個小孩，去年（民國90年）生育率更創歷年新低，只有1.4。死亡率的下降可由平均壽命的延長看出，民國75年時男性為70.97歲，女性為75.88歲；到了民國90年，男性延長到72.75歲，女性延長到78.49歲。由於生育率的變化幅度高於死亡率，對人口結構的影響較大，因此本文分成兩個部份，主要在研究台灣地區15至49歲婦女生育率的變化趨勢，再將研究結果用於台灣地區未來人口總數及其結構的預測。 　　本研究第一部分是生育率的研究，引進Gamma函數、Gompertz函數、Lee-Carter法三種模型及單一年齡組個別估計法，以民國40年至84年（西元1951年至1995年）的資料為基礎，民國85年至89年（西元1996年至2000年）資料為檢測樣本，比較模型的優劣，尋求較適合台灣地區生育率的模型，再以最合適的模型預測民國91年至140年（西元2002年至2051年）的生育率。第二部分是人口推估，採用人口變動要素合成方法（Cohort Component Projection Method）推估台灣地區未來50年的人口總數及其結構，其中生育率採用上述最適合台灣地區的模型、死亡率則引進國外知名的Lee-Carter法及SOA法（Society of Actuaries），探討人口結構，並與人力規劃處的結果比較之。 / Both the fertility rate and mortality rate have been experiencing dramatic decreases in recent years. As a result, the population aging has become one of the major concerns in Taiwan area, and the proportion of the elderly (age 65 and over) increases promptly from 2.6% in 1965 to 8.8% in 2001. The decrease of fertility rate is especially significant. For example, the total fertility rate was 5.58 in 1961, and then decreases dramatically to 1.67 in 1981 (1.4 in 2001), a reduction of almost 70% within 20 years. 　　The goal of this paper is to study the population aging in Taiwan area, in particular, the fertility pattern. The first part of this paper is to explore the fertility models and decide which model is the most suitable based on age-fertility fertility rates in Taiwan. The models considered are Gamma function, Gompertz function, Lee-Carter method and individual group estimation. We use the data from 1951 to 1995 as pilot data and 1996 to 2000 as test data to judge which model fit well. The second part of this study is to project the Taiwan population for the next 50 years, i.e. 2002-2051. The projection method used is Cohort Component Projection method, assuming the population in Taiwan area is closed. We also compare our projection result to that by Council for Economic Planning and Development, the Executive Yuan of the Republic of China.