近年來國人晚婚、不婚、晚育或不育的現象持續惡化，衍伸出高齡少子化所帶來之人口結構惡化已是國家安全層次議題。本研究以實證方式探討影響台灣地區生育率之主要因素，並著重住宅價格（房價所得比）、住宅交易數量（建物買賣移轉棟數）及存量（自有住宅率）之變化與總生育率之關聯性。探究近年我國房價變化、持有自有住宅比率及住宅市場之交易活絡程度是否會影響家戶單位生育決策。 研究針對西元2002年至西元2015年間台灣地區20縣市共280筆追蹤資料(Panel data)，在控制時間效果下運用傳統最小平方法、固定效果模型及隨機效果模型對資料進行迴歸分析。研究結果顯示：在考慮生育率落後一期情境下，同時控制時間及區域效果模型中發現：房價所得比與總生育率呈現顯著正相關，建物買賣移轉棟數與總生育率呈現顯著負相關，自有住宅率雖與總生育率為正相關但未達顯著水準。而其他影響總生育率之主要變數：女性受高等教育比率及粗結婚率與總生育率成顯著正相關。失業率與總生育率則為顯著負相關。研究結果可發現，可能由於我國高度自有住宅率之特性，房價上漲帶來之財富效果是導致房價所得比與生育率呈現正向關係之成因。建物買賣移轉棟數與總生育率呈現負向關係，研判來自於家戶購屋初期通常需付出一筆為數不小之頭期款，短期間內將耗用家戶較多經濟資源，進而排擠家戶單位短期生育決策。 / In recent years, more and more Taiwanese tend to marry at a later age, or remain unmarried, or bear children at a later age or not at all. The problems of population aging and low birth rate have led to the worsened population structure, which has become an issue of national security. This empirical study investigated the factors that contributed to the present low birth rate in Taiwan. The study emphasized the relationships between housing price to income ratio, the number of housing transferred, homeownership rate and total fertility rate (TFR). This study also tried to investigate how the aforementioned three factors affect the childbearing decision of family units. The study focused on a panel data set with 280 samples that was collected across 20 cities and counties in Taiwan from 2002 to 2015. Ordinary least squares, fixed effects model and random effects model were used, and time effect are controlled in all models. The results showed that, after controlling for the time and regional effects, the housing price to income ratio had a positive relationship with the lag TFR. The number of building transferred had a negative relationship with the lag TFR. The homeownership rate had an insignificant negative relationship with the lag TFR. Other factors also affected the lag TFR. For example, the ratio of females who received higher education and crude marriage rates had a significant positive effect. The unemployment rate had a significant negative relationship with the lag TFR. The results might imply that, given the high homeownership rate in Taiwan, the rise in housing price increase “wealth effect’’ which is the reason for the positive relationship between housing price to income ratio and lag TFR. The reason for the negative relationship between the number of building transferred and lag TFR could be the huge financial burden of down payment when a family purchases a house. This burden takes out a huge portion from the budget, and therefore family units might decide to delay having children for a short period.

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Work on the topic of Critical analysis of the housing in the Czech Republic, I chose to its timeliness and problematičnost. I wanted to cover all the pitfalls in the work of housing – legislation that was adopted and the resulting situation of housing on troubleshooting regulated "privileged" rents and rental market. Nastiňuji, how the State takes care of the socially weaker populations (housing) from 2009 it rose sharply citizens. Work to characterize housing in Prague, Brno and Ostrava. The objective of housing is the regulation of the hiring of total liberalisation of the real estate market for tackling I have drawn up a questionnaire, which tracks the housing facilities regions. The biggest problem I've had little social housing solutions, both financially and time consuming.

本文的研究目的為，在一個含有房屋及房屋相關貸款的動態隨機一般均衡模型的架構中，比較貨幣政策、財政政策以及總體審慎政策對於房屋價格及房屋相關貸款的穩定效果。本文建構一個經濟封閉體系，其中包含三種不同家計單位、商品生產部門、房屋建商、資本生產部門，並且由政府部門制定相關政策；此模型的特色為，不同家計單位中的借貸行為、名目價格僵固性以及透過房屋價格抵押貸款的限制來刻劃金融摩擦。我們考慮了一般緊縮貨幣政策、提高財產稅率以及緊縮貸款價值比；本文發現，在三種政策中，對於抑制房屋價格以及降低住房貸款對國內生產毛額的比例，財政政策及總體審慎政策比起緊縮貨幣政策擁有較好的效果。 / The main purpose in this paper is to compare the effect of monetary policy, fiscal policy and macroprudential policy on housing price and housing related loans using a micro-based dynamic stochastic general equilibrium (DSGE) model with housing and housing related loans. We equip a closed economy model with three types of infinitely-lived households (patient households, impatient households and renters), a goods firm, housing and capital producer and a government sector. The model features borrowing and lending between patient and impatient households, nominal rigidity in goods price and financial friction in the form of collateral constraints tied to price of house. We consider the contractionary monetary policy by raising the interest rate, fiscal policy by increasing property tax rate and the macroprudential policy through tightening the loan-to-value (LTV) ratio. We find that among these three policies, in terms of dampening the price of housing and lowering the loan-to-GDP ratio, raising the property tax and lowering the LTV ratio outperforms the contractionary monetary policy.

房地產市場與銀行放款業務間，因為存在著密不可分之關係，本研究主要目的為釐清貸款利率與貸款成數對住宅價格是否具有顯著影響，進而探討中央銀行之選擇性信用管制政策，對於貸款利率、貸款成數與住宅價格之間，是否具有政策效果，最後再針對不同的需求族群，給予購屋行為選擇之參考或為銀行選擇貸款客群之參考。 本研究透過實證分析發現，貸款成數對於住宅價格為正向顯著影響，但貸款利率對住宅價格，則未呈現顯著影響。而政府之選擇性信用管制措施，在實證結果中，並未達到抑制房價之目的。但是在實施信用管制之後，購屋者對與貸款利率，相對更為敏感。在需求族群的分析上，發現高所得族群相對較重視貸款利率，而中所得與低所得族群，則相對較重視貸款成數。低年齡族群較高年齡族群而言，相對較為重視貸款利率之增加。 對於持續關心貸款利率、成數與住宅價格關聯之研究者，本研究建議後續研究者在資料取得之允許下，可嘗試拉長研究期間，及考慮增加了解政策鬆綁後之影響。在資料完整度許可下，建議可以增加個人屬性變數，並考量都更效應之變數。 / There is an inextricably linkage between the real estate market and the bank lending business. The main purpose of this study is to identify the relationships among mortgage interest rate, loan to value (LTV) ratio, and housing price. Further, we discuss the policy effect among them, due to the central bank's selective credit control policy. Finally, the supply-demand sides, our study hopes to give the choice of purchase behavior on demand groups or the selection of bank on loan-customers In our study, we found that the loan to value ratio has a significant positive effect on the housing price, but the mortgage interest rate has no significant effect on the housing price. In the empirical results, we found that the government's selective credit control policy did not achieve the purpose of curbing housing prices. However, after the implementation of selective credit control policy, the housing-buyer is relatively more sensitive to the mortgage interest rate. In the analysis of demand groups, the study found that high-income groups pay more attention to the mortgage interest rate. However, the middle-income and low-income groups emphasize on loan to value relative to the high-income groups. Finally, the young age groups relatively emphasize on the increase of the mortgage interest rates. For the researchers who continue to care about the relationships among mortgage interest rate, loan to value ratio, and housing price, the study suggests that follow-up researchers, with the permission of the data, may attempt to lengthen the study period and consider increasing the impact of easing the policy. Under the data integrity permission, it is advisable to add personal attribute variables and take into account the variables of the urban renewal effect.