Introdução: A parada cardiorrespiratória (PCR) é o evento de maior gravidade que pode ocorrer no intraoperatório. A literatura é escassa sobre quais fatores de risco impactam negativamente no desfecho do paciente vítima de PCR no intraoperatório. Objetivo: Avaliar os fatores que impactaram no desfecho óbito no intraoperatório, em até 24 horas, em até 30 dias e em até 1 ano após a PCR. Metodologia: Pacientes com PCR intraoperatória de 2007 a 2014 foram analisados quanto a dados demográficos, comorbidades, uso de droga vasoativa, tempo de PCR, dados gasométricos, eletrolíticos, da coagulação, do hemograma, da função renal e da escala de Glasgow 24 horas após o retorno à circulação espontânea (RCE), bem como variações destes valores entre a admissão e 24 horas após o evento. Estes dados foram avaliados para o desfecho óbito no intraoperatório, até 24 horas, de 24 horas até 30 dias e até um ano. Resultados: 167.574 anestesias e 158 eventos foram localizados. A letalidade intraoperatória, em 24 horas, 30 dias e um ano foi, respectivamente, de 35,4%, 29,4%, 44,4% e 71,6%. A causa da PCR como hipovolemia, hipotensão na admissão do centro cirúrgico e a maior duração foram fatores independentes para a letalidade de intraoperatória. A hipovolemia como causa, a maior duração da PCR, a razão normalizada internacional (RNI) do tempo de protrombina (TP) acima de 1,2 na admissão, o sódio sérico antes da PCR fora do intervalo da normalidade e a relação entre duração e a dose de adrenalina foram fatores independentes para a letalidade em 24 horas. A variação do RNI negativa do TP entre a admissão e ao final das primeiras 24 horas e a escala de Glasgow abaixo de 14 ou 10T após 24 horas da situação foram fatores independentes para a letalidade 30 dias. A escala de Glasgow abaixo de 14 ou 10T, a variação negativa do RNI do TP nas primeiras 24 horas e a duração da PCR foram variáveis independentes para a letalidade 1 ano. Conclusão: A PCR intraoperatória apresenta grande letalidade, sendo que a conjunção de fatores clínicos e laboratoriais está relacionada ao prognóstico / Introduction: Cardiac arrest (CA) is the most devastating event that can take place during the intraoperative period. Data regarding risk factors for a worse outcome of intraoperative CA (ICA) are scarce, especially regarding laboratorial analysis. Objectives: This study analyzed the outcomes and risk factors of patients 24 hours, 30 days and 1 year after ICA. Methods: Records of patients that had ICA from 2007 to 2014 were analyzed. Data for demographics, comorbidities, vasoactive drug infusion, ICA duration, electrolytes, acid-base balance, international normalized ratio (INR) of the prothrombin time (PT), partial thromboplastin time (aTTP), hemoglobin and hematocrit, urea, creatinine, Glasgow Comma Scale (GCS) 24h after ICA were collected. These data were analyzed in the intraoperative period, 24 hours, 30 days and 1 year after the event. Results: 167,574 anesthesias and 158 ICAs were found. Lethality for the intraoperative period, 24 hours, 30 days and 1 year after the event were 35.4%, 29.4%, 44.4% e 71.6%, respectively. The hypovolemia as a cause, hypotension at admission, and the ICA duration were independently associated with greater intraoperative mortality. The hypovolemia as a cause, the ICA duration, the INR of the PT at admission, the sodium level before the ICA, and the ratio between adrenaline doses and ICA duration were independently associated with death up to 24 hours after ICA. The negative variation of the INR of the PT and the GCS 24 hours after the ICA were independently associated with mortality in 30 days. The GCS 24 hours after ICA, the worsening of the in INR of the PT in the first 24 hours after ICA and the ICA duration were independently associated with mortality in 1 year. Conclusion: Patients that ICA have a high lethality during the first year of the event. Laboratorial and clinical factors after the ICA are linked to patient´s prognosis

L’objectif de cette thèse est d’étudier les nouvelles dynamiques et leurs impacts dans le secteur de l'électricité. Elle discute des sujets critiques d’après les perspectives de la macroéconomie, de la configuration structurelle, et de la transition vers des sources d'énergie renouvelables. Plus précisément, trois sujets se dégagent: le lien entre la consommation d'électricité et la croissance économique, les impacts de l'intégration verticale entre les producteurs et les détaillants, et les impacts d'intégration de production d'énergie renouvelable intermittente. En mettant en jeu ces trois sujets, elle tente d’apporter des réponses aux défis principaux de la sécurité d'approvisionnement, de la compétitivité, et de la durabilité du développement énergétique. En donnant de nouvelles orientations dans la recherche sur l’économie de l’énergie, elle servira à éclairer des débats politiques. / The objective of this thesis is to study the new dynamics and their impacts in the electricity sector. It discusses the critical issues from the perspectives of macroeconomics, structural configuration, and a transition to renewable energy sources. More precisely, three topics emerge: the nexus between electricity consumption and economic growth, the impacts of vertical integration between power generators and retailers, and the market impacts and integration issues of intermittent renewable generation. By studying these three topics, it provides answers to the key challenges of supply security, competitiveness and sustainable development in the energy sector. By giving new research directions of energy economics, it serves to inspire related policy debates.

En dépit du rôle croissant concédé aux volontés individuelles en droit des personneset de la famille, les phénomènes de volonté saisis par cette branche du droit pâtissent d’uneconstruction juridique lacunaire. Les liens avec la théorie de l’acte juridique sont peuexplorés ou n’apparaissent qu’ à travers le prisme déformant de l’approche institutionnelleet légaliste qui est généralement adoptée.En rupture avec le mythe de l’autonomie du droit des personnes et de la famille, cettethèse entend démontrer l’apport de cette branche du droit à la théorie générale de l’actejuridique.Il est possible de dépasser les spécificités apparentes des phénomènes de volontérencontrés en recourant à une théorie moderne de l’acte juridique. Fondée sur un principede causalité décrivant le lien permanent entre les volontés et des données objectives,façonnée par un ensemble de « techniques », la théorie générale peut être tantôtperfectionnée, tantôt enrichie, sous l’influence du droit des personnes et de la famille.De tout ceci, il résulte que le droit commun des contrats a vocation à s’appliquer, aumoins subsidiairement, dans le cadre des techniques « initiales », analogues à cellesconsacrées par la théorie du contrat. Quant aux techniques « intégrées » qui révèlent lesréelles originalités de l’acte juridique personnel ou familial, elles ne dérogent pas à lathéorie générale et sont même susceptibles de tirer profit de la transversalité de cettedernière. En tout cas, se dessine un droit spécialisé de l’acte juridique qui mériterait d’êtreconçu comme tel aussi bien par la doctrine que par les praticiens. / Despite the increasing role granted to individual intent in the law of personsand family, the phenomena of intent as grasped by this body of law suffer from a deficientlegal construct. The links with the theory of the legal act are little explored or emerge onlythrough the distorting prism of the institutional and legalistic approach which is generallyadopted.Breaking with the myth of the autonomy of the law of persons and family, this thesiswill seek to demonstrate the contribution made by this branch of law to the general theoryof the legal act.It is possible to go beyond the apparent specificity of the phenomena of intent byusing a modern theory of the legal act. Based on a principle of causality describing thepermanent link between intent and objective data, shaped by a set of "techniques", thegeneral theory is sometimes improved, sometimes enhanced under the influence of the lawof persons and family.From all this, it follows that the common law of contract is intended to apply, atleast alternatively, in the context of “initial” techniques, similar to those enshrined in thetheory of contract. As for "integrated" techniques, which show the real distinctiveness of thepersonal or family legal act, they do not derogate from the general theory and are evenlikely to benefit from its transversality. In any case, a specialised law emerges from thelegal act that ought to be conceived as such both by doctrine and practitioners.

L’objet de cette thèse est d’étudier dans un contexte de financiarisation des marchés de matières premières, certaines stratégies adoptées par les investisseurs et leurs impacts sur la volatilité et le co-mouvement excessif entre les marchés énergétiques et financiers. Pour ce faire, trois études sont proposées. La première fait appel aux modèles à changement de régime (MS-VAR) appliqués sur un ensemble des produits énergétiques et couvre la période 1992-2017. Les résultats obtenus suggèrent qu’en période de forte volatilité, les agents commerciaux (agents de couverture) jouent un rôle crucial dans la découverte des prix du marché du gaz. Cependant, ces agents de couverture affectent le bon fonctionnement des autres marchés (pétrole, essence, fioul) et amplifient leur volatilité. La deuxième étude traite les modèles GARCH ADCC versus GARCH DCC sur un échantillon de 17 pays et sur la période 1997-2016. Cette étude met en avant l’effet asymétrique des chocs pétroliers sur les corrélations conditionnelles des marchés asiatiques et africains, qui s’expliquent notamment par les activités d’arbitrage et les comportements hétérogènes des investisseurs. La troisième étude porte sur les modèles autorégressifs à retards échelonnés (ARDL) et révèle qu’après la crise financière, et au-delà des fondamentaux macro-économiques et financiers, l’indice de la spéculation excessive explique, aussi bien à long terme qu’à court terme, la corrélation entre le marché pétrolier et les marchés financiers de certains pays. Ceci génère un phénomène de co-mouvement excessif, et donc un effet de financiarisation sur ces marchés. Enfin, nous concluons les éléments suivantes : premièrement, en période de forte volatilité, le marché du gaz constitue une valeur refuge pour les investisseurs financiers ; deuxièmement, le comportement de l’investisseur explique l’effet de co-mouvement excessif entre le marché pétrolier et certains marchés financiers ; troisièmement, ce phénomène de co-mouvement excessif limite les avantages de la diversification internationale des portefeuilles notamment au moment des turbulences financières. / The object of this thesis is to study in a context of financialization of commodity markets, some strategies adopted by investors and their impact on volatility and excess co-movement between energy markets and financial markets. To this end, three studies are proposed. The first study uses the approach VAR with Switching Regime (MS-VAR) applied to energy markets during the period 1992-2017. The results suggest that during high volatility period, commercial agents (hedging agents) play a crucial role in the discovery of gas market prices. However, these agents affect the efficiency of other markets (crude oil, gasoline, heating oil) and amplify their volatilities. The second study employs GARCH ADCC versus GARCH DCC models for a sample of 17 countries and covering the period 1997-2016. This study highlights the asymmetric effect of oil shocks on the conditional correlations of the Asian and African markets, which can be explained in particular by the arbitrage activities and the heterogeneous behavior of investors. The third study focuses on Autoregressive Distributed Lag models (ARDL) and reveals that after the financial crisis, and beyond the macroeconomic and financial fundamentals, the index of excessive speculation, explains in long term as well as in short term, the correlation between oil market and some financial markets. This generates a phenomenon of excess co-movement, and therefore a financializing effect on these markets. Finally, we can conclude that : firstly, during high volatility period, gas market is a safe haven for financial investors ; secondly, the behavior of the investor explains the effect of excess co-movement between the oil market and some financial markets ; thirdly, this phenomenon of excess co-movement limits the benefits of international portfolio diversification especially during financial turbulences.

In the literature there are mixed results on the link between credit and agricultural output growth. Some authors argue that credit leads to growth in agricultural output. Others view growth as one of the factors that influence credit supply, thus growth leads and credit follows. By and large, studies have not endeavoured to establish the short-run impact of agricultural credit on output. They are generally limited in establishing the long-run relationship between credit and agricultural output and thus present a research gap in this respect. This study contributes to the existing body of literature by focusing on the finance-growth nexus at sectoral level as a departure from extant literature that has focused on the macroeconomic level. Using South African data, the study investigated the causal relationship between the supply of credit and agricultural output as well as whether the two are cointegrated and have a short-run relationship. The study found that bank credit and agricultural output are cointegrated. Using the error correction model (ECM), the results showed that, in the short-run, bank credit has a negative impact on agricultural output, reflecting the uncertainties of institutional credit in South Africa. However, the ECM coefficient shows that the supply of agricultural credit rapidly adjusts to short-term disturbances, indicating that there is no room for tardiness in the agricultural sector. The absence of institutional credit will immediately be replaced by availability of other credit facilities from non-institutional sources. Conventional Granger causality tests show unidirectional causality from (1) bank credit to agricultural output growth, (2) agricultural output to capital formation, (3) agricultural output to labour, (4) capital formation to credit, and (5) capital formation to labour, and a bi-directional causality between credit and labour. Noteworthy and significant for South Africa is that for the agricultural sector, the direction of causality is from finance to growth, in other words supply-leading, whereas at the macroeconomic level, the direction of causality is from economic growth to finance, in other words, demand-leading. Applying a structural equation modelling approach to survey data of smallholder farmers, the positive relationship between bank credit and agricultural output observed from analysis of secondary data was confirmed. / Business Management / D. Com. (Business Management)

Der technologische Fortschritt hat in jüngster Zeit zu einer großen Zahl von Zeitreihenmessdaten über komplexe dynamische Systeme wie das Klimasystem, das Gehirn oder das globale ökonomische System geführt. Beispielsweise treten im Klimasystem Prozesse wie El Nino-Southern Oscillation (ENSO) mit dem indischen Monsun auf komplexe Art und Weise durch Telekonnektionen und Rückkopplungen in Wechselwirkung miteinander. Die Analyse der Messdaten zur Rekonstruktion der diesen Wechselwirkungen zugrunde liegenden kausalen Mechanismen ist eine Möglichkeit komplexe Systeme zu verstehen, insbesondere angesichts der unendlich-dimensionalen Komplexität der physikalischen Prozesse. Diese Dissertation verfolgt zwei Hauptfragen: (i) Wie können, ausgehend von multivariaten Zeitreihen, kausale Wechselwirkungen praktisch detektiert werden? (ii) Wie kann die Stärke kausaler Wechselwirkungen zwischen mehreren Prozessen in klar interpretierbarer Weise quantifiziert werden? Im ersten Teil der Arbeit werden die Theorie zur Detektion und Quantifikation nichtlinearer kausaler Wechselwirkungen (weiter-)entwickelt und wichtige Aspekte der Schätztheorie untersucht. Zur Quantifikation kausaler Wechselwirkungen wird ein physikalisch motivierter, informationstheoretischer Ansatz vorgeschlagen, umfangreich numerisch untersucht und durch analytische Resultate untermauert. Im zweiten Teil der Arbeit werden die entwickelten Methoden angewandt, um Hypothesen über kausale Wechselwirkungen in Klimadaten der vergangenen hundert Jahre zu testen und zu generieren. In einem zweiten, eher explorativen Schritt wird ein globaler Luftdruck-Datensatz analysiert, um wichtige treibende Prozesse in der Atmosphäre zu identifizieren. Abschließend wird aufgezeigt, wie die Quantifizierung von Wechselwirkungen Aufschluss über mögliche qualitative Veränderungen in der Klimadynamik (Kipppunkte) geben kann und wie kausal treibende Prozesse zur optimalen Vorhersage von Zeitreihen genutzt werden können. / Today''s scientific world produces a vastly growing and technology-driven abundance of time series data of such complex dynamical systems as the Earth''s climate, the brain, or the global economy. In the climate system multiple processes (e.g., El Nino-Southern Oscillation (ENSO) or the Indian Monsoon) interact in a complex, intertwined way involving teleconnections and feedback loops. Using the data to reconstruct the causal mechanisms underlying these interactions is one way to better understand such complex systems, especially given the infinite-dimensional complexity of the underlying physical equations. In this thesis, two main research questions are addressed: (i) How can general causal interactions be practically detected from multivariate time series? (ii) How can the strength of causal interactions between multiple processes be quantified in a well-interpretable way? In the first part of this thesis, the theory of detecting and quantifying general (linear and nonlinear) causal interactions is developed alongside with the important practical issues of estimation. To quantify causal interactions, a physically motivated, information-theoretic formalism is introduced. The formalism is extensively tested numerically and substantiated by rigorous mathematical results. In the second part of this thesis, the novel methods are applied to test and generate hypotheses on causal interactions in climate time series covering the 20th century up to the present. The results yield insights on an understanding of the Walker circulation and teleconnections of the ENSO system, for example with the Indian Monsoon. Further, in an exploratory way, a global surface pressure dataset is analyzed to identify key processes that drive and govern interactions in the global atmosphere. Finally, it is shown how quantifying interactions can be used to determine possible structural changes, termed tipping points, and as optimal predictors, here applied to the prediction of ENSO.

Global civilisation, and therefore population health, is threatened by excessive inequality, weapons of mass destruction, inadequate economic and political theory and adverse global environmental change. The unequal distribution of global foreign exchange adjusted income is both a cause and a reflection of global social characteristics responsible for many aspects of these inter-related crises. ¶ The global distribution of foreign exchange adjusted income for the period 1964-1999 is examined. Using data for more than 99% of the global population, a substantial divergence in its distribution is found. The global Gini co-efficient, adjusted for national income inequality, increased from an already high value of 71% in 1964 to peak at more than 80% in 1995, before falling, very slightly, to 79% in 1999. The global distribution of purchasing parity power income is also examined, for a similar period. Though also found to be extremely unequal, its trend has not been to increased inequality. Implications of the differences between these two trends are discussed. ¶ A weighted time series index of global environmental change (IGEC) for the period 1960-1997 was also calculated. This uses nine categories of global time series environmental data, each scaled so that 100% represents the level of each category in nature prior to anthropogenic change; zero represents decline to a critical point. This index fell from 82% in 1960 to 55% in 1997, and will further decline during this century. ¶ Using evidence from several disciplines, it is argued that the decline in the IGEC correlates with major macro-environmental changes, which, combined with flawed social responses to scarcity and its perception, place at risk the ability of civilisation to function. This could occur because of the interaction of conflict, economically disastrous extreme climatic events, deterioration of other ecosystem services, regional food and water insecurity, and currently unforeseen events. Uncertainty regarding both a safe rate of decline and the tolerable nadir of the IGEC is substantial. ¶ Substantial reduction in the inequality of foreign exchange adjusted income is vital to enhance the development of policies able to reverse the decline in the environmental goods which underpin civilisation, and to promote the co-operation needed to maximise the chance that civilisation will survive.

論文摘要 本文主要是檢定內生成長模型之下，政府的國防以及教育支出行為與經濟成長的關係。我們發覺以往的文獻探討，對於教育對經濟成長關係的探討大多著重在人力資本對經濟成長之影響，而多持正面的看法；學者對國防支出有持正面；亦有持負面之看法。根據本文所做的實證檢定則發現，長期之下，我們所欲檢定之變數，國民所得、教育支出以及國防支出皆具有單根之關係，顯示三個數列在長期之下，不具有穩定之狀態；亦即是呈現一個隨機漫步的情形，此正和我國經濟成長、國防支出、教育支出不斷增加的事實相吻合。而教育支出和國民所得亦有具有共整合的關係存在，這顯示了在長期之下，國民所得和教育支出的一階差分會呈一穩定的線性關係，即長期之下，國民所得和教育支出會有相同成長趨勢，而國民所得和國防支出間，因為國防預算支出的比例不斷降低，所以我們無法得出該支出與國民所得有共整合關係，顯示國民所得和國防支出長期下並無相同的成長趨勢。 而就因果關係檢定之結果來看，我們發現，國民所得對教育支出有一領先的關係，解釋了長期之下，國民所得的資訊可以用來預測教育支出成長的事實，同時也可以說明我國符合華格納法則中所提到之現象。 而就國防支出和國民所得而言，本文得出國民所得和國防支出存在雙向因果關係。當以國民所得作為被解釋變數時，可能因國防支出使用的效率，或者國防的支出確實提高有效需求並促進現代化，因而使國防支出對國民所得有顯著之影響。至於國民所得對國防支出的影響方面，我們就國防支出需求面來看國防預算的制定，是必須考慮所得的經濟因素。且依據華格納法則，隨著我國國民所得不斷增加，對於政府國防支出的需求，亦會相對提升。因此，吾人可以說國民所得增加會影響國防支出。 　目　　　　錄 第一章 緒論……………………………………………… 1 第一節 經濟成長與政府支出……………………….. 1 第二節 研究方向……………………………………….. 5 第三節 本文架構……………………………………….. 6 第二章 相關探討及文獻回顧…………………………… 8 第一節 相關公共支出對經濟成長的文獻回顧……… 8 第二節 教育投資、支出及國防支出對經濟成長之影響… 11 第三節 國民所得對政府支出的影響………………… 23 第三章 計量方法………………………………………….. 29 第一節 單根檢定………………………………………… 29 第二節 共整合檢定………………………………………... 32 第三節 修正誤差模型…………………………………….. 34 第四節 因果關係檢定………………………………… 36 第四章 模型設定及實證結果…………………… . 41 第一節 模型的設定…………………………………… 41 第二節 單根和共整合檢定…………………………… . 42 第三節 修正誤差及因果檢定………………………….…. 47 第四節 實證結果之探討…………………………………. 55 第五章 結論與建議……………………………………… . 63 第一節 本文結論……………………………………….… 63 第二節 本文之建議…………………………………….…. 65 參考文獻……………………………………………………. 70 / We are going to dicuss the long-run relationship between income and govnernment's education and national defense expenditure in Taiwan.We start at testing wheather income ,education expenditure ,and national defense have unit or not. We find all the series have the characteristic of unit root.It shows that they are not stationary.Then we use Granger's cointegration test,and see that the series of income and education got the relationship of cointegration,instead that of income and national defense. Finally,we test long- run relationship by Granger causality.Due to the existence of cointegration between income and education expenditure,we can use two-steps OLS to test whether there exist Granger causality between them,and we find income will affect education expenditure ,however education expenditure will not affect income.And we use F test to find the Granger causality between income and nation defenseand we get the conclusion that there exists a bilateral Granger causality.It means that they will affect each other.

本文使用 1981 年 1 月 5 日至 1997 年 5 月 31 日台灣加權股價指數以及交易股數的資料探討台灣股市的時間序列特性，並且針對政府對股市的干預政策檢定政策干預的有效性。本文採用的實證方法包含 Augmented Dickey-Fuller(ADF)單根檢定，Perron 結構性改變檢定， ARCH 效果檢定，干預分析(Intervention Analysis)以及 Granger 因果關係檢定。實證檢定的結果如下： 1、在單根檢定方面，股價指數、交易股數和股價指數變異數三個時間序列都是一階穩定序列。 2、在 Parron 結構性改變檢定方面，股價指數、交易股數和股價指數變異數三個時間序列在 1990 年 5 月到 10 月之間曾經發生明顯的結構性改變。 3、在 ARCH 效果檢定方面，股價指數和交易股數二個時間序列的殘差項都有 ARCH(1)效果存在，而股價指數變異數的殘差項不存在 ARCH(1)效果。 4、在干預分析方面，穩定基金對股價指數的干預效果不顯著。 在漲跌幅限制方面，漲跌幅限制的變動對股價指數、交易股數及股價指數變異數的干預效果都不明顯。 在證卷交易稅稅率改變的干預分析方面，證卷交易稅稅率改變對交易股數和股價指數變異數沒有影響，但是證交稅稅率變動和股價指數呈現正向的關係。 5、在 Granger 因果關係檢定方面，本研究發現漲跌幅限制改變和股價指數漲跌二者互為因果，但是股價指數對漲跌幅的影響較大。 在證卷交易稅稅率改變與股市的因果關係方面，本研究發現股價指數的漲跌是證交稅稅率改變之因，顯示主管機關的證交稅稅率政策是受股市的市場狀況所左右。 / In this paper, I examine the effectiveness of official intervention in Taiwan's equity market. I consider the security transaction tax, price limit and stabilization funds as examples. The nonstationarity and structural changes of equity index time-series process were first detected and detrended. The Autoregressive Conditional Heteroskedasticity (ARCH) model is employed to examine the intervention effectiveness, since it allows for a formal test of changes in the index mean level, index conditional variance or both, in response to the changes of security transaction tax and price limit. The results implies that policy authority adjusted security transaction tax and price limit in accordance to the change of equity index level. I also find that the imposition of security transaction tax and price limit have no significant effect on reducing the equity index volatility.

由於住宅價格變動毫無預警制度，人民往往憑著個人主觀的判斷而決定何時購屋或售屋，而此種主觀判斷住宅市場利多及利空的觀念，對住宅市場的供需會產生失衡現象，因此是否可從經濟面的訊息找到住宅價格變動的答案，使住宅價格在尚未變動前，政府即已掌握資訊，提前做好穩定住宅價格的因應對策，使民眾依其需要而購屋，則是本研究之主要目的。 　　本研究從文獻中整理出影響住宅價格變動的七個總體經濟變數，這些總體經濟變數包含工資、物價、所得、貨幣供給額、股價、匯率及利率等，並利用向量自我迴歸模式(VAR)進行實證，以便較客觀的獲得變數間的落後期數及暸解變數間雙向、單向及領先、同步、落後情形，且進一步探討住宅價格與每一個總體經濟變數間影響程度大小及影響情形，以釐清各變數之間的關係。 　　本研究利用VAR模型進行住宅價格與總體經濟變數關係的研究，經由實證，得到下列的結論： 　　一、實證結果方面 　　本研究之實證主要有因果關係檢定與分析、變異數分解之分析及衝擊反應之分析三方面，其實證結果如下所述。 　　（一）因果關係檢定與分析 　　由因果關係檢定與分析中，得到股價、物價、匯率、貨幣供給額及利率均能做為住宅價格變動的領先指標。 　　（二）變異數分解之分析 　　由住宅價格之變異數分解中，得知住宅價格自身的解釋程度僅占三分之一，另三分之二被其他的總體經濟變數所解釋，顯示住宅價格受總體經濟變數的影響相當大；而從其他總體經濟變數之變異數分解中，得知住宅價格變動會干擾到總體經濟變數，而使總體經濟變數受干擾而變動變動。 　　（三）衝擊反應之分析 　　從總體經濟變數對住宅價格的衝擊反應分析圖中可以明顯看出除工資外，其餘總體經濟變數變動對住宅價格造成的衝擊均相當明顯，但匯率及利率對住宅價格的衝擊是負向的。 　　住宅價格對所得、股價、匯率及利率的衝擊相當明顯，而其對匯率的衝擊是負向。 　　二、政策應用方面 政府的決策過程中常會有時間落後的現象，而本研究實證的目的則是要使政府能事先掌握住宅價格的變動，並提前做好穩定住宅價格的因應對策，減少政府決策過程的時間落後現象，而實證結果應用至政策方面的內容則由以下說明之。 　　（一）藉由因果關係檢定與分析的實證內容，可以縮短政府對住宅價格不合理變動問題認定落後的時間。 　　（二）從變異數分解之分析的實證內容中，可以使決策者在解決住宅價格問題時，將行動落後的時間減少。 　　（三）由衝擊反應之分析中，可以使政府在執行穩定住宅價格政策時，將衝擊落後的時間縮小。 / Since there is no alarm system in the change of housing prices, people often decide when to buy or when to sell based on personal and subjective judgement. Such concept to judge subjectively whether the housing market is bull or bear will cause unequilibrium in the supply and demend of the housing market. There it is possible to find out the answers to the change of housing prices from economic side so that the government can have enough information and can be prepared in the reaction to stabilizing the housing prices, and so that the public can buy house according to their needs is the main purpose of this project. 　　Seven variables in macroeconomics influencing the change of housing prices have been taken from reative literature, including wage, commodity price, income, money supply, stock price, exchange rate, and interest rate. VAR has been employed to verify so that the more objective lagging period among variable can be known, and the bi-directional, uni-directional, leading, contemporaneous, and lagging situation among variables can be understood. Furthermore, the degree and the status of influence of each macroeconomic variable to the housing price will be investigated to clarify the relations among the variables. 　　The present project investigate the relations between housing price and macroeconomic variables. We have the following findings: 　　I、In Empirical Study: 　　The empirical study in this project includes causal relation test and analysis, the analysis of variable decompositon, and the analysis of impact response. The results are shown in the following: 　　(I) Causality Test and Analysis 　　In the causality test and analysis, we find out that stock price, commodity price, exchange rate, money supply and interest rate all can be the leading indicators in the change of housing prices. 　　(II) The Analysis of Variable Decomposition 　　It is learned from the variable decomposition of housing prices that housing price can only explain one third of the cause in its change, the other two thirds are explained by other macroeconomic variables. It shows that housing prices are subject to the influence of macroeconomic variables greatly. 　　From the variable decomposition of other macroeconomic variables, we know that the change in housing prices will affect macroeconomic variables so that the macroeconomic variables will change. 　　(III) The Analysis of Impact Response 　　It can be obviously seen from the analysis figure of the impact response of the macroeconomics to housing prices, all macroeconomic variables will cause obvious impact to housing prices expect for wage. However, both exchange rate and interest rate have negative impact to housing prices. 　　Housing prices' impact to income, stock prices, exchange rate and interest rate is quite obvious, among which, the impact to exchange rate is negative. 　　II、Policy Application 　　It is a common phenomenon that there often will be lagging in time in government's decision making. The purise of the empirical study in this project is to let the government to know in advance the change of housing prices and to let the government to know in advance the change of housing prices and to let the government be prepared in the reaction of stabilizing the housing prices to minimize the lagging in the decision making process. The contents of application of the empirical study to policy are explained in the following: 　　(I) With the empirical results of the change of the causality test and analysis, the time for the government to recognize the unreasonable changes in housing prices can be shortened. 　　(II) With the empirical results of the analysis of variable decomposition, the decision makers' lagging in the action responding to housing pricescan be minimized. 　　(III) With the analysis in impact response, the lagging in impact will be minimized when the government executing her housing price stabilizing policy.