Este estudo tem como objetivo explorar e testar se os preços das moradias nas cidades de Rio de Janeiro e São Paulo podem ser explicados por um conjunto de indicadores econômicos selecionados, que inclui variáveis sociais e de custos de construção. Modelos de previsão de preços das residências foram construídos por meio da aplicação de análise fatorial seguida de regressão linear por mínimos quadrados ordinários. Estes modelos não cumpriram com todos os pressupostos estatísticos necessários. Alternativamente, para cada uma das cidades, foi obtido um modelo ajustado a partir da regressão das séries em estado estacionário, seguida da aplicação da técnica de omissão de variáveis a partir do modelo completo. Finalmente, por meio da cointegração de Johansen, foi elaborado um modelo que evidencia o comportamento de longo prazo dos índices de preços. Este modelo foi utilizado para analisar o risco de existência de bolhas imobiliárias nas cidades estudadas, que se mostrou menor em São Paulo que no Rio de Janeiro onde, no entanto, pode-se observar um movimento de convergência dos preços reais para a curva de preços de longo prazo, indicando redução gradual no sobrepreço dos imóveis, se mantida a tendência. / This study aimed at exploring and testing whether house prices in Rio de Janeiro and Sao Paulo could be explained by a set of selected economic indexes, which includes social variables and construction costs. Some prediction models were constructed by applying a factor analysis followed by an ordinary least-squares linear regression. However, these models have failed to comply with all the necessary statistical assumptions. Alternatively, for each of the cities, an accurate model was obtained by applying a stepwise regression technique to a set of steady state variables (first, second and third difference). Finally, it was used the Johansen cointegration to develop a model for the long-term behavior of house prices. The model was used to analyze the risk of real estate bubbles in the studied cities, which was shown to be lower in Sao Paulo than in Rio de Janeiro. However, Rio exhibits a convergence trend in real prices to the long-term price curve, indicating gradual reduction in overpricing, if the trend continues.

過去許多學術文獻針對租稅優惠吸引投資之效果進行實證分析，但實證結論並不一致。我國自1950年即開始實施一連串的租稅獎勵政策，時至今日，租稅減免仍是我國政府推動重大經濟政策慣用的誘因手段。為探討了解臺灣實施租稅優惠措施對投資變化之影響，本研究針對我國自民國50年代後期以來涉及租稅減免之相關法令進行整理，另為了充分量化這些租稅優惠措施，則參考國外相關實證文獻作法，建構了兩項租稅誘因指標作為虛擬變數，來追蹤自民國61年以來我國不同階段之減免稅狀態，並作為虛擬變數納入後續實證模型分析。 本研究利用相關變數之時間序列資料來探討租稅優惠對我國外人直接投資與國內私人投資之互動變化關係。研究步驟有三，首先，針對個別變數進行單根檢定，藉以確認變數的屬性，了解時間序列資料是否為衡定後，再利用Johansen共整合檢定法來估計和檢定多個變數，確認各變數間是否存在共整合關係後，以誤差修正模型來說明各變數間關係與整個變數脫離均衡關係後之動態調整情形。 實證結果顯示，就長期趨勢而言，我國實施之租稅優惠措施對吸引外人直接投資呈現負向且顯著之不良影響，另長期而言，租稅優惠誘因對刺激我國國內投資之變化確有顯著且正面助益，但影響效果之幅度不大。因此，本研究建議政府與其提供效果不明確之租稅誘因，不如致力於針對國家自身不完善的基礎建設或不穩定的總體經濟環境進行改善。 / Tax incentives have been in existence in Taiwan since 1950, and they are still very much on the agenda of the government. There is no agreement about the efficacy of incentives. Indeed there have been doubts about whether incentives have any effect on the economy since the 1950s. This has made some economists wonder why incentives are so popular despite the fact that their effects are either slight or unknow. This study conducts an empirical investigation of the impact of tax incentives on investment in Taiwan. We constructed two indexs of tax incentives which track the different types of incentives embarked upon by the government, and these indexes are then included in both foreign direct investment and private investment equations. Our testing procedure involves three steps. The first step involves tasting for the properties of the variables by conducting unit root teste. The second step involves testing for the long-run relationship between the variables using Johansen cointegration tests. And the third step involves estimating the long-run parameters and associated loading factors. The empirical results shows a significant negative impact of tax incentives on FDI, and a significant positive impact of tax incentives on private investment but the impact is slight. We suggest that rather than focusing on tax incentives, the country should concentrate on removing the factors that discourage investors such as poor infrastructural and institutions or macroeconomic instability.

Este estudo tem como objetivo explorar e testar se os preços das moradias nas cidades de Rio de Janeiro e São Paulo podem ser explicados por um conjunto de indicadores econômicos selecionados, que inclui variáveis sociais e de custos de construção. Modelos de previsão de preços das residências foram construídos por meio da aplicação de análise fatorial seguida de regressão linear por mínimos quadrados ordinários. Estes modelos não cumpriram com todos os pressupostos estatísticos necessários. Alternativamente, para cada uma das cidades, foi obtido um modelo ajustado a partir da regressão das séries em estado estacionário, seguida da aplicação da técnica de omissão de variáveis a partir do modelo completo. Finalmente, por meio da cointegração de Johansen, foi elaborado um modelo que evidencia o comportamento de longo prazo dos índices de preços. Este modelo foi utilizado para analisar o risco de existência de bolhas imobiliárias nas cidades estudadas, que se mostrou menor em São Paulo que no Rio de Janeiro onde, no entanto, pode-se observar um movimento de convergência dos preços reais para a curva de preços de longo prazo, indicando redução gradual no sobrepreço dos imóveis, se mantida a tendência. / This study aimed at exploring and testing whether house prices in Rio de Janeiro and Sao Paulo could be explained by a set of selected economic indexes, which includes social variables and construction costs. Some prediction models were constructed by applying a factor analysis followed by an ordinary least-squares linear regression. However, these models have failed to comply with all the necessary statistical assumptions. Alternatively, for each of the cities, an accurate model was obtained by applying a stepwise regression technique to a set of steady state variables (first, second and third difference). Finally, it was used the Johansen cointegration to develop a model for the long-term behavior of house prices. The model was used to analyze the risk of real estate bubbles in the studied cities, which was shown to be lower in Sao Paulo than in Rio de Janeiro. However, Rio exhibits a convergence trend in real prices to the long-term price curve, indicating gradual reduction in overpricing, if the trend continues.

Thesis (M. Com.(Economics)) -- University of Limpopo, 2017 / The relationship between unemployment, exchange rate and inflation has been a subject of debate for many years. Given the fact that South Africa is faced with a very low economic growth rate, inflation rate which is likely to go beyond the upper band of 6 percent and a high level of unemployment, policy makers are often faced with the trade-off between unemployment and inflation rate in the country. The purpose of this study is to determine the relationship between exchange rate, unemployment and inflation in South Africa. The study employed Johansen cointegration procedures and the vector error correction model (VECM) to capture the relationship between the variables. The Engle-Granger causality test was also employed to analyse causality amongst the variables. The results of Johansen cointegration test indicate that there is a long-run equilibrium relationship between the variables. The VECM also confirmed the existence of short-run equilibrium relationship between the variables. The nature of the relationship indicates that there is a significant negative relationship between unemployment and inflation in South Africa. This implies that policy makers are been faced with the trade-off between these two variables. The results further indicate that inflation is positively related to exchange rate, meaning a depreciation of the Rand (South African currency) in the foreign exchange market will feed to inflation in the home country. Furthermore, it is also indicated that unemployment is positively related to exchange rate. Meaning, a depreciation of the Rand in the foreign exchange market increases the level of unemployment in South Africa. All the results appeared to be significant. Policies aimed at lowering unemployment and inflation rate are recommended. It is also recommended that policy makers in South Africa take measures to improve the quality of education, skills training and steps to increase the labour intensity of production.

Financial liberalisation, through increasing investment as well as the average productivity of capital, should stimulate economic growth, or so the theory goes. Bank lending unfortunately suffers adverse selection and moral hazard effects, to which the establishment and expansion of stock markets has been offered as a remedy. However, research from developing country stock markets have shown that in many cases these markets did not complement the effects of credit market liberalisation but in rather important aspects subverted them. Countries that implemented credit market liberalisation and raised real interest rates only increased the price of debt capital rather than all capital. This caused a share price boom in many of them. When the price of equity capital fell it seriously undermined and indeed allowed large private corporations to skip altogether the main channel of high interest rates through which the theoretical McKinnon-Shaw effects were to operate. This study asks the research question of what effect the expansion of the South African stock exchange has had for its economic development. It makes use of a general empirical model to explain the relationship between financial development and real output. The model comprises indicators for growth, banking system development, stock market volatility; and, stock market development through a conglomerate index that accounts for market size, liquidity and integration with world capital markets. Quarterly data from 1989 to 2001 is analysed based on the null hypothesis that, as far as financial architecture is concerned, the development of the JSE Securities Exchange has stimulated the country's economic growth. This study found a negative and statistically significant relation between stock market development and economic growth. It suggests that while the JSE Securities Exchange is a relatively large stock market it is the presence of thin trading that prevents the proposed benefits of market development from accruing to the economy. Thus the hypothesis is rejected. However, since the only stable cointegrating vector is between growth and banking sector development, it recommends that by expanding their universal banking functions, the present banking structure, though oligopolistic, may be better suited to act as a catalyst for growth. / Business Management / D. Comm.

Financial liberalisation, through increasing investment as well as the average productivity of capital, should stimulate economic growth, or so the theory goes. Bank lending unfortunately suffers adverse selection and moral hazard effects, to which the establishment and expansion of stock markets has been offered as a remedy. However, research from developing country stock markets have shown that in many cases these markets did not complement the effects of credit market liberalisation but in rather important aspects subverted them. Countries that implemented credit market liberalisation and raised real interest rates only increased the price of debt capital rather than all capital. This caused a share price boom in many of them. When the price of equity capital fell it seriously undermined and indeed allowed large private corporations to skip altogether the main channel of high interest rates through which the theoretical McKinnon-Shaw effects were to operate. This study asks the research question of what effect the expansion of the South African stock exchange has had for its economic development. It makes use of a general empirical model to explain the relationship between financial development and real output. The model comprises indicators for growth, banking system development, stock market volatility; and, stock market development through a conglomerate index that accounts for market size, liquidity and integration with world capital markets. Quarterly data from 1989 to 2001 is analysed based on the null hypothesis that, as far as financial architecture is concerned, the development of the JSE Securities Exchange has stimulated the country's economic growth. This study found a negative and statistically significant relation between stock market development and economic growth. It suggests that while the JSE Securities Exchange is a relatively large stock market it is the presence of thin trading that prevents the proposed benefits of market development from accruing to the economy. Thus the hypothesis is rejected. However, since the only stable cointegrating vector is between growth and banking sector development, it recommends that by expanding their universal banking functions, the present banking structure, though oligopolistic, may be better suited to act as a catalyst for growth. / Business Management / D. Comm.