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Master of Arts / Department of Economics / Lance J. Bachmeier / This thesis uses a structural VAR approach with a recursiveness assumption to examine the effects of an expansionary monetary policy shock on financial variables. We build this on the established research of the effects of monetary shocks on macro variables by measuring the expansionary shock as an increase in the money supply. We also investigate interest rate policy and test whether financial market variables matter for the determination of interest rate. We analyze four different cases in this paper using the innovations in the money supply, non-borrowed reserves, the interest rate and bond yield (including bonds with remaining maturity period close to 30- years) as a measurement for the expansionary monetary policy shock.

The principle aim of this thesis is to construct a consumption function for Turkey for policy analysis using the annual State Planning Organisation (SPO) time-series data. This study commences from 1962 and extends until the end of 1994, when a financial crisis occurred in Turkey. It attempts to analyse not only the decline in the private savings rate during the first half of the 1980s, but also the significant rise from 1986 onwards. The thesis starts with an introduction which explodes the main research objectives, considers the existing consumption theories and extentions, records the main data features to be explained, briefly overviews the modelling strategy and discusses the basic considerations of the research and gives the structure of thesis. A literature survey on the theory of consumption is given in Chapter 2. The LifeCycle/ Permanent-Income hypothesis is considered as central to the two mainstream approach. : the Euler approach and the solved-out approach. These approaches are further extended by considering uncertainty and precautionary saving, credit restrictions, saving and leisure. habit or costs of adjustments and the durability of goods, the role of assets and asset prices. financial liberalisation and demographic factors. Finally, comparisons between the two approaches arc made in the conclusion of that chapter. Theory can deliver concepts with permanent relationships in economics, but it should be supported by empirical findings, since theory alone is insufficient to determine the actual economic relationship. Hence, Chapter 3 focuses on theoretical and appl ied modelling issues to construct a theory-consistent, congruent and encompassing consumption function. Congruency implies that the empirical model matches the available evidence in al l measured attributes (i.e., it is consistent with the theory from which it was derived, has unexplained components that arc innovations against available information, has basic parameters that are constant, is data admissible, and where any conditioning variables are weakly exogenous for the parameters of interest). Encompassing denotes that the model of interest can account for the result of rival models of the same phenomena. I also define structure as the set of invariant features of the economic mechanism. A parameter can be structural only if it is invariant for an extension of the sample period (constant), is invariant with respect to changes elsewhere in the economy (regime shifts), and is invariant over extensions of the information set (adding more variables). Chapter 4 examines the small-sample properties of the statistical methods used by means of Monte Carlo simulations. The informativeness of the data is investigated in an unrestricted Vector Auto-regression (VAR) with small-samples of noisy data combined with a high real growth rate and nominal inflation. This is to see how the relative drift dominates in explaining the informativeness of the data. The Monte results are summarised by using response surfaces to relate the biases to sample size. The ratio of standard deviations to standard errors in each equation is also analysed. The strong impacts of the system error variances in these response surfaces indicate the importance of high variances in VA Rs. Furthermore, I found noise, and a function of the signal to noise ratio. and cross-equation correlation had a large impact, but less effect from the relative drift. Chapter 5 presents an overview of the Turkish Economy, particularly during the sample period. by pointing out the lessons to be drawn from the stabilisation experiments and their effect on the private sector saving decision in Turkey. The aim of Chapter 6 is to get nominal housing wealth and housing price data from the available data, such as the nominal private disposable income. nominal private investment in the housing sector and the consumer price index, since housing wealth is claimed to be a major determinant of private savings in Turkey. Chapter 7 aims to reveal the problems of Turkish data by analysing the history of the Turkish a1ional Accounts to construct a data-base for estimating a consumption function for Turkey. GDP by expenditure is constructed from five different sources. Turkish accounting residuals are allocated by applying the linear regression approach. The results show that GDP-by-output is more reliable than the GDP-by-expenditure measure for Turkey. Chapter 8 is devoted to the time series modelling and evidence. Previous findings on consumption for Turkey have been formulated using conventional econometric techniques with a static estimation methodology within the Permanent Income Hypothesis (PIH). I adopted the equilibrium correction model (ECM) solved-out consumption function approach and tried to incorporate the effects of age. precautionary behaviour in the case of uncertainty, credit constraints, habits or costs of adjustments. and the durability of goods for developing belier understanding of private sector savings behaviour in Turkey. The modelling is based on the dynamic econometric methodology that involves the estimation of a general unrestricted model (GUM). a co-integration and long-run analysis, and the simplification of the GUM to a parsimonious dynamic model that is deduced by applying a sequential testing procedure. The final model is congruent: It matches the available evidence in all measured attributes and forecasts well, has white noise errors and constant parameters, and encompasses the VAR model equation as well as other specifications in previous models. Moreover, the model has a structural interpretation. The results of the final model reveal strong positive effects of the real interest rate. inflation and inflation uncertainty, a strong negative effect of population aged 15-44, a positive effect after one lag period of the change in the average propensity to consume. which represents the effects of expectations, habits or adjustment costs, in addition to the significant effect of the inverse of per capita Private Disposable Income and the change in housing wealth to income ra1io on the private average propensity to consume in Turkey. These findings offer an explana1ion for the salient features of the Turkish consumption pattern observed from 1he lime series data. These results also provide some policy implications such that inOation control should be strengthened and improved for consumption stabilisation. Furthermore. interest rate policy also has an important role to play in the savings process in Turkey. The research on small-sample properties of 1hc statistical methods by means of Monte Carlo Simulations strengthens the results of the empirical model. These. confirm the poor determination of intercepts in I(I) VARs, and the corresponding advantages of an equilibrium correction model formulation. Furthermore. the insignificance the of irrelevant dynamics should encourage model builders to use a dynamic econometric methodology to develop parsimonious models, such as used for building a consumption model for Turkey in this thesis.

The Gambia, a small open economy, implements a managed floating exchange rate regime. The central bank (CBG) has the mandate to design and implement monetary policy with the primary aim of achieving price and exchange stability in the economy. In spite of interventions by the CBG, the country continues to experience fluctuations in its exchange rate with several instances of major spikes in recent years. This thesis proposes a solution, through a change of policy regime, to control the long time and disturbing depreciation of the domestic currency. In a vector auto regressive framework, the study investigates sources of the exchange rate variability using quarterly data from 1998:Q1 to 2012:Q4. Furthermore, the OCA theory and the pre- conditions of inflation targeting are used to make a choice between a common currency and inflation targeting for the Gambia. The findings from the Johansen test of cointegration suggest that the selected key macroeconomic variables are cointegrated, meaning, they have long run equilibrium. The results of the VECM reveal that error correction mechanism can be achieved in some of the variables. This indicates that there exists the convergence process. In addition, the results from the impulse response analysis put forward that the macroeconomic variables have effect on...

In this thesis, sustainability of the Turkish domestic debt is analyzed within the &ldquo / sustainability indicators&rdquo / perspective. The fiscal targets of Maastricht Treaty (1992) are imposed on the Turkish fiscal policy and it is investigated whether these targets are the indicators for sustainability in the medium term. Uctum and Wickens&rsquo / (2000) methodology is followed in assessing the sustainability of the current fiscal policy and the efficiency of the Maastricht Treaty (1992) targets. Moreover, the vector auto regression (VAR) approach of Garcia and Rigobon (2004) is utilized in deriving the econometric model for the debt dynamics of Turkey. The results suggest that domestic debt of Turkey has been unsustainable within 1994-2008. Furthermore, the Maastricht Treaty (1992) fiscal targets are binding for Turkey and gaining more significance in the recent years.

This thesis analyzes the debt dynamics of Turkey and assesses the sustainability of fisscal policy. The assessment of fiscal policy follows the methodology of Garcia and Rigobon (2004). This approach focuses on the concept of debt sustainability from a risk management perspective and incorporates the effects of stochastic shocks to the economy in its assessment. The results suggest that a continuation of the present fiscal stances will lead to a fiscal unsustainability in Turkey. Furthermore, the results indicate that the properties of the debt dynamics are closely related to the spreads on both dollar denominated debt and YTL denominated debt. This thesis also provides an application of two traditional methodologies, such as Wilcox&#039 / s (1989) methodology and Uctum and Wicken&#039 / s (2000) methodology in order to assess the fiscal sustainability of Turkey.

Virtually all methods of learning dynamic models from data start from the same basic assumption: that the learning algorithm will be provided with a single or multiple sequences of data generated from the dynamic model. However, in quite a few modern time series modeling tasks, the collection of reliable time series data turns out to be a major challenge, due to either slow progression of the dynamic process of interest, or inaccessibility of repetitive measurements of the same dynamic process over time. In most of those situations, however, we observe that it is easier to collect a large amount of non-sequence samples, or random snapshots of the dynamic process of interest without time information. This thesis aims to exploit such non-sequence data in learning a few widely used dynamic models, including fully observable, linear and nonlinear models as well as Hidden Markov Models (HMMs). For fully observable models, we point out several issues on model identifiability when learning from non-sequence data, and develop EM-type learning algorithms based on maximizing approximate likelihood. We also consider the setting where a small amount of sequence data are available in addition to non-sequence data, and propose a novel penalized least square approach that uses non-sequence data to regularize the model. For HMMs, we draw inspiration from recent advances in spectral learning of latent variable models and propose spectral algorithms that provably recover the model parameters, under reasonable assumptions on the generative process of non-sequence data and the true model. To the best of our knowledge, this is the first formal guarantee on learning dynamic models from non-sequence data. We also consider the case where little sequence data are available, and propose learning algorithms that, as in the fully observable case, use non-sequence data to provide regularization, but does so in combination with spectral methods. Experiments on synthetic data and several real data sets, including gene expression and cell image time series, demonstrate the effectiveness of our proposed methods. In the last part of the thesis we return to the usual setting of learning from sequence data, and consider learning bi-clustered vector auto-regressive models, whose transition matrix is both sparse, revealing significant interactions among variables, and bi-clustered, identifying groups of variables that have similar interactions with other variables. Such structures may aid other learning tasks in the same domain that have abundant non-sequence data by providing better regularization in our proposed non-sequence methods.

The main purpose of this study is to empirically assess the relationship between inflation and economic growth in Ethiopia using quarterly dataset from 1992Q1 to 2010Q4. In doing so, an interesting policy issue arises. What is the threshold level of inflation for the Ethiopian economy? Based on the Engle-Granger and Johansen co-integration tests it is found out that there is a positive long-run relationship between inflation and economic growth. The error correction models show that in cases of short-run disequilibrium, the inflation model adjusts itself to its long-run path correcting roughly 40% of the imbalance in each quarter. In addition, based on the conditional least square technique, the estimated threshold model suggests 10% as the optimal level of inflation that facilitates growth. An inflation level higher or lower than the threshold level of inflation affects the economic growth negatively and hence fiscal and monetary policy coordination is vital to keep inflation at the threshold. / Economics / M. Com. (Economics)

China's economic development has performed spectacularly during the period of China's economic transition as a result of radical economic reform in the all markets. The country has also gone through extensive fiscal reforms in the last three decades. However, a number of problems have been associated with such rapid economic growth. One of these has been raising inequality. In both Keynesian and neoclassical endogenous growth theories, public spending can play an important role for economic growth and inequality. The majority of previous studies have focused on the relationship between public spending and economic growth, or between public spending and inequality separately. There is no doubt that public spending has an effect on both economic growth and equity simultaneously. In this respect, this thesis attempts to address the problems that have emerged during the period of China's fiscal reforms, and seeks to examine the effects of public spending on economic growth and equality in the same model. This thesis investigates the dynamic relationships among these three variables in China. For aggregate national data, vector error correction model (VECM) has been used. Analysis at the provincial level is based on the panel vector auto-regression (PVAR) model. These methods help to solve the endogeneity in estimations. The national level analysis indicates that total public spending shows a long term Granger causality with GDP per capita, which supports the positive growth effect of public spending in the Keynesian and endogenous growth model. Social public spending has a negative effect on real output per capita in both the short term and long term, but it also has a negative impact on income inequality. Moreover, we find that a higher level of real GDP per capita will increase the level of inequality, but a higher level of inequality has a negative effect on real GDP per capita in the long term. Furthermore, total provincial public spending and provincial social spending have either a non-significant effect on economic growth. On the other hand, the SOEs' investment has a significant, positive growth effect at both the national and provincial level. As for the redistributive role of the public spending, the provincial total public spending and social spending have played an important role on income distribution. Furthermore, the Gini coefficient has a positive effect on the per capita growth rate at the provincial level, but the economic growth has no significant impact on the Gini coefficient.