Compared to the previous twenty years, residential investments in the US appear more stable after the mid-1980s. Chapter 2 explores key hypotheses regarding the underlying causes. In particular, it uses estimated DSGE models to examine whether a more responsive interest rate policy stabilizes the housing market by keeping inflation in check. These estimations indeed found a policy that has become more responsive over time. Counter-factual analysis confirms that the change stabilizes inflation as well as nominal interest rate. It does not, however, find the change in policy to have stabilizing effect on real economic activity including housing investment. It finds that smaller TFP shocks make modest contributions, while the biggest contributing factor to the fall in the housing volatility is a reduction in the sensitivity of the investment to demand variations. Chapter 3 constructs a richly specified model for the housing market to examine the empirical relevance of various costs and frictions, including the investment adjustment cost, sticky construction costs, search frictions, and sluggish adjustment of house prices. Using the US national-level quarterly data from 1985 and 2007, we find that the gradual adjustment of house prices is the most important and irreplaceable feature of the model. The key to developing an optimization-based empirical housing model, therefore, is to provide a structural interpretation for the slow adjustment in house prices. Chapter 4 uses US national-level time series of residential investment, price index of new houses, consumption and interest rate to explore whether the US, as a nation, experienced a drop in the price elasticity of supply of new housing. Maximum likelihood estimations with a simple stock-and-flow model found a statistically significant drop of the elasticity from 10 to 2.2, when the quarterly data between 1971 and 2007 are split at 1985. A richer model with mechanisms of gradual adjustment also indicates such a reduction, when existing knowledge about the adjustment parameters is incorporated in the analysis. For the Federal Reserve, an inelastic supply can be a source of concern, because policy-driven demand in housing market is more likely to trigger undesirable swings in prices.

Compared to the previous twenty years, residential investments in the US appear more stable after the mid-1980s. Chapter 2 explores key hypotheses regarding the underlying causes. In particular, it uses estimated DSGE models to examine whether a more responsive interest rate policy stabilizes the housing market by keeping inflation in check. These estimations indeed found a policy that has become more responsive over time. Counter-factual analysis confirms that the change stabilizes inflation as well as nominal interest rate. It does not, however, find the change in policy to have stabilizing effect on real economic activity including housing investment. It finds that smaller TFP shocks make modest contributions, while the biggest contributing factor to the fall in the housing volatility is a reduction in the sensitivity of the investment to demand variations. Chapter 3 constructs a richly specified model for the housing market to examine the empirical relevance of various costs and frictions, including the investment adjustment cost, sticky construction costs, search frictions, and sluggish adjustment of house prices. Using the US national-level quarterly data from 1985 and 2007, we find that the gradual adjustment of house prices is the most important and irreplaceable feature of the model. The key to developing an optimization-based empirical housing model, therefore, is to provide a structural interpretation for the slow adjustment in house prices. Chapter 4 uses US national-level time series of residential investment, price index of new houses, consumption and interest rate to explore whether the US, as a nation, experienced a drop in the price elasticity of supply of new housing. Maximum likelihood estimations with a simple stock-and-flow model found a statistically significant drop of the elasticity from 10 to 2.2, when the quarterly data between 1971 and 2007 are split at 1985. A richer model with mechanisms of gradual adjustment also indicates such a reduction, when existing knowledge about the adjustment parameters is incorporated in the analysis. For the Federal Reserve, an inelastic supply can be a source of concern, because policy-driven demand in housing market is more likely to trigger undesirable swings in prices.

Compared to the previous twenty years, residential investments in the US appear more stable after the mid-1980s. Chapter 2 explores key hypotheses regarding the underlying causes. In particular, it uses estimated DSGE models to examine whether a more responsive interest rate policy stabilizes the housing market by keeping inflation in check. These estimations indeed found a policy that has become more responsive over time. Counter-factual analysis confirms that the change stabilizes inflation as well as nominal interest rate. It does not, however, find the change in policy to have stabilizing effect on real economic activity including housing investment. It finds that smaller TFP shocks make modest contributions, while the biggest contributing factor to the fall in the housing volatility is a reduction in the sensitivity of the investment to demand variations. Chapter 3 constructs a richly specified model for the housing market to examine the empirical relevance of various costs and frictions, including the investment adjustment cost, sticky construction costs, search frictions, and sluggish adjustment of house prices. Using the US national-level quarterly data from 1985 and 2007, we find that the gradual adjustment of house prices is the most important and irreplaceable feature of the model. The key to developing an optimization-based empirical housing model, therefore, is to provide a structural interpretation for the slow adjustment in house prices. Chapter 4 uses US national-level time series of residential investment, price index of new houses, consumption and interest rate to explore whether the US, as a nation, experienced a drop in the price elasticity of supply of new housing. Maximum likelihood estimations with a simple stock-and-flow model found a statistically significant drop of the elasticity from 10 to 2.2, when the quarterly data between 1971 and 2007 are split at 1985. A richer model with mechanisms of gradual adjustment also indicates such a reduction, when existing knowledge about the adjustment parameters is incorporated in the analysis. For the Federal Reserve, an inelastic supply can be a source of concern, because policy-driven demand in housing market is more likely to trigger undesirable swings in prices. / Arts, Faculty of / Vancouver School of Economics / Graduate

Yes / This paper develops and estimates a new-Keynesian dynamic stochastic general equilibrium (DSGE) model for the analysis of fiscal policy in the UK. We find that government consumption and investment yield the highest GDP multipliers in the short-run, whereas capital income tax and public investment have dominating effect on GDP in the long-run. When nominal interest rate is at the zero lower bound, consumption taxes and public consumption and investment are found to be the most effective fiscal instruments throughout the analysed horizon, and capital and labour income taxes are established to be the least effective. The paper also shows that the effectiveness of fiscal policy decreases in a small open-economy scenario and that nominal rigidities improve effectiveness of public spending and consumption taxes, whereas decrease that of income taxes.

Existing studies which analyze a central banks' behaviour in formulating monetary policy, are mostly concentrated on the experience of developed economies. However, developing economies face a different institutional structure, as well as a different set of constraints and shocks, hence, it would be interesting to analyze how a central bank under this different economic environment performs its monetary policy mandate. This thesis looks at the behaviour of Bank Negara Malaysia (The Central Bank of Malaysia) in formulating monetary policy in Malaysia during the period 1975-2005. ¶ There are four major aspects of Bank Negara Malaysia's (BNM) policy behaviour that are examined in this thesis. Firstly, with regard to its policy reaction function - does BNM set interest rates according to some form of policy rule or purely on a discretionary manner? After identifying the systematic component of its policy action, we try to establish BNM's policy objectives and preferences. This will help in understanding the rationale behind its policy action. The third aspect is whether BNM's policy behaviour changes over time. Lastly, with the use of an estimated Dynamic Stochastic General Equilibrium (DSGE) model, we conduct some policy experiments to observe the possible impact on the Malaysia's economic outcomes were BNM to behave differently to what we envisaged its policy behaviour has been.

京都大学 / 0048 / 新制・課程博士 / 博士(経済学) / 甲第18036号 / 経博第489号 / 新制||経||268(附属図書館) / 30894 / 京都大学大学院経済学研究科経済学専攻 / (主査)教授 柴田 章久, 教授 中嶋 智之, 准教授 敦賀 貴之 / 学位規則第4条第1項該当 / Doctor of Economics / Kyoto University / DFAM

This thesis analyzes the incomplete exchange rate pass-through effect on Mongolian economy and its implication on monetary policy under foreign and domestic shocks. The analysis is carried out in a small open economy New Keynesian DSGE model proposed by Monacelli (2005), where incomplete exchange rate pass-through is introduced via nominal rigidities on import prices. In order to accomplish the goal, we firstly derive the solutions of the model, calibrate the parameters, and finally simulate the impulse responses. Moreover, SVAR estimation is achieved to estimate the pass-through. Four main results are obtained. First, the exchange rate pass-through into import price and inflation is 0.69% and 0.49% respectively in short run, implying incomplete pass-through in Mongolia. Second, the exchange rate acts as a shock absorber for domestic productivity and foreign demand shock, but as a shock amplifier for domestic demand shock. Third, in case of incomplete pass-through the central bank of Mongolia is required to adjust the nominal interest rate more under the productivity shock, but less for the domestic and foreign demand shock. Finally, deviations from the law of one price contributes considerably to the variability of the output gap under the low pass-through. Therefore, considering incomplete pass-through in...

The goal of this thesis is to develop a DSGE model that accounts for the key business cycle properties of the Czech labor market. We used standard New Keynesian framework for monetary policy analysis and incorporated an elaborated labor market setup with equi- librium wage derived via an alternating offer bargaining protocol originally proposed by Rubinstein (1982) and follow the work of Christiano, Eichenbaum and Trabandt (2013) in the following steps. Firstly, we calibrated the closed economy model according to values suited for the Czech economy and found that the model can not only account for higher volatility of the real wage and unemployment, but can also explain the contemporaneous rise of both wages and employment after an expansionary shock in the economy, so called Shimer puzzle (Shimer, 2005a). Secondly, we demonstrated that the alternating offer bar- gaining sharing rule outperforms the Nash sharing rule under assumption of using the hiring costs in our framework (more so while using search costs) and therefore is better suited for use in larger scale models. Thirdly, we concluded that after estimating the labor market parameters using the Czech data, our model disproved the relatively low values linked to the probabilities of unsuccessful bargaining and job destruction. JEL...

Labor market indicators such as unemployment and labor force participation show a significant amount of heterogeneity across demographic groups, which is often not incorporated in monetary policy analysis. This dissertation is composed of three essays that explore the effect of labor market heterogeneity on the design and conduct of monetary policy. The first chapter, <b>Effect of Monetary Policy Shocks on Labor Market Outcomes</b>, studies this question empirically by looking at dynamics of macroeconomic outcomes to a monetary policy shock. I construct a measure of monetary policy shock using narrative methods that represent the unanticipatory changes in policy. Impulse response of unemployment rates for high and low-skill workers show low-skill workers bear a greater burden of contractionary monetary policy shock. Their unemployment rates increase by almost four times that of the high-skill group. Even though we see differences in dynamic response of unemployment rates, the empirical analysis shows some puzzling results where effects of contractionary shock are expansionary in nature. Moreover, these results are plagued by the “recursiveness assumption” that the shock does not affect current output and prices, which is at odds with theoretical models in the New Keynesian literature. In the second chapter, <b>Skill Heterogeneity in an Estimated DSGE Model</b>, I use a structural model to better identify these shocks and study dynamic responses of outcomes to economic shocks. I build a dynamic stochastic general equilibrium model, which captures skill heterogeneity in the U.S. labor market. I use Bayesian estimation techniques with data on unemployment and wages to obtain distribution of key parameters of the model. Low-skilled workers have a higher elasticity of labor supply and labor demand, contributing to the flatness of the wage Phillips curve estimated using aggregate data. A contractionary monetary policy shock has immediate effects on output and prices, lowering both output and inflation. Moreover, it increases unemployment rates for both high and low-skill groups, the magnitude being larger for the latter group. The presence of labor market heterogeneity will have new implications for the design of monetary policy, that I study in the third chapter, <b>Optimal Monetary Policy with Skill Heterogeneity</b>. I design an optimal policy for the central bank where policymakers respond to the different inflation-unemployment trade-off between high and low-skill workers. The monetary authority must strike a balance between stabilization of inflation, GDP and outcomes of high and low-skill workers separately. This optimal policy can be implemented by a simple interest rate rule with unemployment rates for high and low-skill workers and this policy is welfare improving.

A thesis submitted to the Faculty of Commerce, Law and Management, University of the Witwatersrand, Johannesburg, in Ful llment of the Requirements for the Degree of Doctor of Philosophy in Economics 15 July, 2015 / The thesis focuses on the sources of macroeconomic uctuations in ten (10) selected African economies over the period 1990-2011. Data for the study were obtained from the International Financial statistics (IFS), the World Bank, and Central Bank database of the selected countries. We formulate a dynamic stochastic general equilibrium (DSGE) model for the thesis. We estimate the model using quarterly time series data. Due to data availability, the sample size di¤ers from one country to the other. First, we investigate the relative contributions of internal and external shocks to economic uc- tuations in African economies. Second, we evaluate the signi cance of the balance sheet channel in African economies. Third, we investigate the ef- fectiveness of sovereign wealth funds in reducing macroeconomic volatility caused by commodity price shocks. The thesis has 5 chapters. Chapter 1 is the general introduction. Chapters 2, 3, and 4 are stand-alone related papers on macroeconomic uctuations. Chapter 5 is the conclusion. Chapter 1 introduces the study. We discuss the research problem, the moti- vation, the objectives, and the research questions. We also explain both our theoretical and empirical contributions to the literature. Moreover, we high- light the signi cance and the key ndings of the study. Finally, we conclude the chapter with a brief outline on the organisation of the study. Chapter 2 investigates the relative contributions of internal and external shocks to macroeconomic uctuations in African economies. We formulate and estimate a monetary DSGE model to examine the sources of economic uctuations in ten African countries. The model is estimated with the Bayesian technique using twelve macroeconomic variables. Generally, the ndings indicate that both the internal and external shocks signi cantly in- uence output uctuations in African countries. Over a four quarter horizon, internal shocks are dominant while over eight to sixteen quarter horizons, the external shocks are dominant. Among the external shocks, external debt, ex- change rate, foreign interest rate and commodity price shocks account for a large part of output variations in African economies. Money supply and productivity shocks are the most important internal shocks contributing to output uctuations in African countries. To ensure macroeconomic stability, African countries need to formulate appropriate exchange rate and exter- nal debt management policies, diversify the economies, and create sovereign wealth funds (SWFs) or use hedging instruments. Chapter 3 evaluates the quantitative signi cance of the balance sheet chan- nel in African economies. We construct an open economy monetary DSGE model where entrepreneurs nance investment by issuing foreign currency- denominated debt. The model is estimated with Bayesian technique. The evidence suggests that the balance sheet e¤ects are empirically important in African economies. The marginal likelihood results clearly favour the model with nancial frictions. Moreover, the ndings indicate that the balance sheet e¤ect reduces the e¤ectiveness of monetary policy, raises the sensitiv- ity of the risk premium to external debt, and contracts output. This indi- cates that exchange rate depreciation is contractionary in African economies. We conclude that African countries should reduce their exposure to foreign currency-denominated debt and also deepen their domestic bond markets. Chapter 4 investigates the e¤ectiveness of sovereign wealth funds (SWFs) in reducing macroeconomic volatility in commodity exporting African countries. We formulate and simulate a dynamic stochastic general equilibrium (DSGE) model that features SWFs. The simulation results suggest that the creation of SWFs can reduce macroeconomic volatility in commodity exporting coun- tries. Particularly, SWFs can reduce government expenditure, real exchange rate, and external debt volatility. Since these are the channels through which commodity price shocks are transmitted to the African economies, we rec- ommend that African countries should create SWFs to sterilize the in ow of commodity revenue and to prevent the resource curse problem. Chapter 5 concludes the study. We summarize the key ndings in Chapters 2, 3, and 4. We highlight the policy implications of our ndings. Finally, we suggest areas for further research.