The Effects of Monetary Policy in the US. The Vector Error Correction Model (VECM) compared to the Structural Autoregressive Model (SVAR) PDF Download
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Author: Colin Tissen
Publisher: GRIN Verlag
ISBN: 3668548625
Category : Mathematics
Languages : en
Pages : 24
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Book Description
Research Paper (undergraduate) from the year 2017 in the subject Mathematics - Applied Mathematics, grade: 8.5, , course: Empirical Econometrics II, language: English, abstract: This paper investigates the effects of monetary policy in the US by comparing a system of equations – estimated from a VECM (vector error correction model) – to a SVAR (structural autoregressive) model. Vector error-correction models are used when there exists long-run equilibrium relation-ships between non-stationary data integrated of the same order. Those models imply that the stationary transformations of the variables adapt to disequilibria between the non-stationary variables in the model. In contrast, SVAR models focus on the contemporaneous interdependence between the variables. The authors apply these two methods on a model with a contractionary monetary policy which affects the short-term interest rate. Following Sims and Zha the authors use a shock to the Treasury Bill rate instead of a shock to the Federal Funds rate. The paper continues as follows. First, a description of the data is given. Secondly, it presents a system of equations built from the LSE approach, aiming at macroeconomic simulations. Thirdly, it compares results obtained from the previous part to those obtained using SVAR impulse response functions (IRFs) identified with sign restrictions. The paper focuses on the impact of the simulated policies or monetary shocks on GDP and its growth rate.
Author: Colin Tissen
Publisher: GRIN Verlag
ISBN: 3668548625
Category : Mathematics
Languages : en
Pages : 24
Get Book Here
Book Description
Research Paper (undergraduate) from the year 2017 in the subject Mathematics - Applied Mathematics, grade: 8.5, , course: Empirical Econometrics II, language: English, abstract: This paper investigates the effects of monetary policy in the US by comparing a system of equations – estimated from a VECM (vector error correction model) – to a SVAR (structural autoregressive) model. Vector error-correction models are used when there exists long-run equilibrium relation-ships between non-stationary data integrated of the same order. Those models imply that the stationary transformations of the variables adapt to disequilibria between the non-stationary variables in the model. In contrast, SVAR models focus on the contemporaneous interdependence between the variables. The authors apply these two methods on a model with a contractionary monetary policy which affects the short-term interest rate. Following Sims and Zha the authors use a shock to the Treasury Bill rate instead of a shock to the Federal Funds rate. The paper continues as follows. First, a description of the data is given. Secondly, it presents a system of equations built from the LSE approach, aiming at macroeconomic simulations. Thirdly, it compares results obtained from the previous part to those obtained using SVAR impulse response functions (IRFs) identified with sign restrictions. The paper focuses on the impact of the simulated policies or monetary shocks on GDP and its growth rate.
Author: Visa Kuntze
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
We develop a similarity-based structural vector autoregressive (SVAR) model using the similar clusters of data relevant for the prevailing initial macroeconomic conditions of interest. Our computationally attractive simple approach enables us to uncover time-varying effects of structural economic shocks in a flexible manner in relevant local environments instead of relying on a model estimated from the entire sample period. Our empirical results show that the dynamic effects of forward guidance shocks are generally dependent on the stance of monetary policy and typically rather negligible for output and inflation.
Author: Ren Zhang
Publisher:
ISBN:
Category :
Languages : en
Pages : 50
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Book Description
Traditionally identified monetary shocks in a structural vector autoregression (SVAR) model typically result in long-lasting effects on output and total factor productivity (TFP). In this paper, I argue that the typical monetary shock has been confounded with the news shock about future technology. I propose and implement a novel SVAR approach that effectively ``cleans'' the technology component from the traditional Cholesky monetary shock. With the new identification, I find that a monetary shock exerts smaller and less persistent effects on output and the level of measured TFP than a traditionally identified monetary shock. The new identification also predicts a ``Fisherian'' effect that an unanticipated rise in the interest rate increases inflation. The novel empirical findings can reconcile some conflicting results in the SVAR literature and hence lead to a better understanding of the effects of monetary policy. Finally, I show that the standard New Keynesian model is not fully consistent with the empirical evidence uncovered by the novel SVAR method. However, the SVAR impulse responses can be replicated by augmenting the standard New Keynesian model with a time-varying inflation target and a non-Ricardian fiscal policy regime.
Author: Ben Bernanke
Publisher:
ISBN:
Category : Economics
Languages : en
Pages : 47
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Book Description
"Structural vector autoregressions (VARs) are widely used to trace out the effect of monetary policy innovations on the economy. However, the sparse information sets typically used in these empirical models lead to at least two potential problems with the results. First, to the extent that central banks and the private sector have information not reflected in the VAR, the measurement of policy innovations is likely to be contaminated. A second problem is that impulse responses can be observed only for the included variables, which generally constitute only a small subset of the variables that the researcher and policymaker care about. In this paper we investigate one potential solution to this limited information problem, which combines the standard structural VAR analysis with recent developments in factor analysis for large data sets. We find that the information that our factor-augmented VAR (FAVAR) methodology exploits is indeed important to properly identify the monetary transmission mechanism. Overall, our results provide a comprehensive and coherent picture of the effect of monetary policy on the economy"--National Bureau of Economic Research web site
Author: Mr.Tetsuya Konuki
Publisher: INTERNATIONAL MONETARY FUND
ISBN: 9781451858044
Category : Business & Economics
Languages : en
Pages : 0
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Book Description
This paper empirically analyzes the short-run effects of monetary and fiscal policy on aggregate demand, using the two-step structural error correction method. This method has an advantage over the standard reduced-form error correction method in providing a meaningful interpretation for impulse responses. The results are in sharp contrast to those of the traditional Mundell-Fleming and Dornbusch models: after the monetary (fiscal) policy is relaxed, the home currency depreciates (appreciates) for a substantial period of time, and the aggregate demand first expands (contracts) then gradually returns toward its original path.
Author: Woon Gyu Choi
Publisher:
ISBN:
Category : Autoregression (Statistics)
Languages : en
Pages : 28
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Book Description
This paper uncovers Taylor rules from estimated monetary policy reactions using a structural VAR on U.S. data from 1959 to 2009. These Taylor rules reveal the dynamic nature of policy responses to different structural shocks. We find that U.S. monetary policy has been far more responsive over time to demand shocks than to supply shocks, and more aggressive toward inflation than output growth. Our estimated dynamic policy coefficients characterize the style of policy as a "bang-bang" control for the pre-1979 period and as a gradual control for the post-1979 period.
Author: Charbel Bassil
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
This paper examines the transmission of monetary policy in USA between 1960 and 2008. We use a structural vector autoregressive model (SVAR) that includes federal funds rate, inflation rate (current or expected inflation) and output gap as endogenous variables. The contribution of this paper is to determine endogenously the number of structural changes in this multivariate system using Qu and Perron (2007) test. When we use expected inflation rate, we find two structural shifts, in October 1982 and December 1987. With current inflation rate we also find two breaks, in April 1979 and June 1987. We also found a significant increase in the influence of federal funds rate on variations in current inflation rate after 1980. We conclude that monetary policy was more efficient during Volcker and Greenspan chairmanships. We also conclude that Federal Reserve was more concerned by inflationary expectations between 1980 and 1987. We gave quantitative support to the fact that the goal of the domestic monetary policy during Volcker era was inflationary expectations rather than current inflation. Unfortunately our results do not support this for Greenspan era.
Author: Kevin D. Hoover
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
The M2 monetary aggregate is monitored by the Federal Reserve, using a broad brush theoretical analysis and an informal empirical analysis. This paper illustrates empirical identification of an eleven-variable system, in which M2 and the factors that the Fed regards as causes and effects are captured in a vector autogregression. Taking account of cointegration, the methodology combines recent developments in graph-theoretical causal search algorithms with a general-to-specific search algorithm to identify a fully specified structural vector autoregression (SVAR). The SVAR is used to examine the causes and effects of M2 in a variety of ways. We conclude that, while the Fed has rightly identified a number of special factors that influence M2 and while M2 detectably affects other important variables, there is 1) little support for the core quantity-theoretic approach to M2 used by the Fed; and 2) M2 is a trivial linkage in the transmission mechanism from monetary policy to real output and inflation.
Author: Fei Han
Publisher:
ISBN:
Category :
Languages : en
Pages : 296
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Book Description
This dissertation consists of three chapters dealing with different topics in time series econometrics including generalized method of moments (GMM) estimation and vector autoregressions (VAR). These econometric models have revolutionized empirical research in macroeconomics. Previous work by Hansen and Singleton (1982) showed that the GMM method can be applied to estimate nonlinear rational expectations models in a simple way that the models need not even be solved. The seminal work of Sims (1980) has demonstrated how VAR models can be used for macroeconomic forecasting and policy analysis. The objective of this dissertation is to provide some new econometric tools for applied research in macroeconomics using time series data. The first chapter develops an asymptotic theory for the GMM estimator in nonlinear econometric models with integrated regressors and instruments. We establish consistency and derive the limiting distribution of the GMM estimator for asymptotically homogeneous regression functions. The estimator is consistent under fairly general conditions, and the convergence rates are determined by the degree of the asymptotic homogeneity of regression functions. Similar to linear regressions, we find that the limiting distribution is generally biased and non-Gaussian, and that instruments themselves cannot eliminate the bias even when they are strictly exogenous. Therefore, GMM yields inefficient estimates and invalid $t$- and chi-square test statistics in general. By implementing the fully modified method developed by Phillips and Hansen (1990), we obtain an efficient GMM estimator which has an unbiased and mixed normal limiting distribution. In the second chapter, we develop a novel shock identification strategy in the context of two-country/block structural vector autoregressive (SVAR) models to identify the transmission of credit shocks. Specifically, we investigate how credit shocks originating in the U.S. or euro area affect domestic economic activity in emerging Asia. Shocks within each block are identified using sign restrictions, whereas shocks across the two blocks are identified using a recursive structure (block Cholesky decomposition). This strategy not only enables us to distinguish the external credit shock from the other structural shocks, but also captures the responses of the domestic country. The main findings include that the transmission of credit shocks across countries through the channel of credit contagion is fast and protracted. The adverse effects of external credit tightening are mitigated by domestic credit policy easing in China, but lead to significant decreases in credit and GDP growth in the other emerging Asian countries. We also find that the external credit shocks play a non-negligible role in driving economic fluctuations in emerging Asia, although the role is smaller in China. In the last chapter, we use a global vector autoregressive (GVAR) model to forecast the principal macroeconomic indicators of the original five ASEAN member countries (i.e. Indonesia, Malaysia, Philippines, Singapore, and Thailand). The GVAR model is a compact model of the world economy designed to explicitly model the economic and financial interdependencies at national and international levels. Our GVAR model covers twenty countries which are grouped into nine countries/regions. After applying vector error correction model (VECM) to estimate parameters in the GVAR, we generate twelve one-quarter-ahead forecasts of real GDP growth, inflation, short-term interest rates, real exchange rates, real equity prices, and world commodity prices over the period 2009Q1-2011Q4, with four out-of-sample forecasts during 2009Q1-2009Q4. Forecast evaluation based on the panel Diebold-Mariano (DM) tests shows that the forecasts of our GVAR model tend to outperform those of country-specific VAR models, especially for short-term interest rates and real equity prices. These results suggest that the interdependencies among countries in the global financial market play an important role in macroeconomic forecasting.
Author: Chetan Ghate
Publisher: Springer
ISBN: 8132228405
Category : Business & Economics
Languages : en
Pages : 653
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Book Description
This book presents research that applies contemporary monetary theory and state-of-the-art econometric methods to the analysis of the monetary and financial aspects of the Indian economy and the impact of monetary policy on economic performance. Indian monetary policy has attracted significant attention from Indian and international macroeconomists over the last several years. Interest in how monetary policy influences economic performance and how monetary policy is conducted in India is growing. The prospects for further financial sector reform and ongoing inflation in India have sparked new interest in the role of money and monetary policy in India among economists, policy makers and students alike. The book should also interest economists outside India because it studies monetary economics in a major emerging market economy and makes advances in the analysis of how financial market imperfections and structural constraints influence the effects of monetary policy.
