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VAR
Terms modified by VAR Selected AbstractsTwin deficits: squaring theory, evidence and common senseECONOMIC POLICY, Issue 48 2006Giancarlo Corsetti SUMMARY Budget deficits and current accounts OPENNESS AND FISCAL PERSISTENCE Simple accounting suggests that shocks to the government budget move the current account in the same direction, and this ,twin deficits' intuition leads many observers to call for fiscal consolidation in the US as a necessary measure to reduce the large external imbalance of this country. The response of other macroeconomic variables to budget developments, however, has important implications for ,twin deficits' and for this policy prescription. Focusing on the international transmission of fiscal policy shocks via terms of trade changes, we show that the likelihood and magnitude of twin deficits increases with the degree of openness of an economy, and decreases with the persistence of fiscal shocks. We take this insight to the data and investigate the transmission of fiscal shocks in a vector autoregression (VAR) model estimated for Australia, Canada, the UK and the US. We find that in less open countries the external impact of shocks to either government spending or budget deficits is limited, while private investment responds in line with our theoretical prediction. These results suggest that a fiscal retrenchment in the US may have a limited impact on its current external deficit. , Giancarlo Corsetti and Gernot J. Müller [source] Risk management lessons from Long-Term Capital ManagementEUROPEAN FINANCIAL MANAGEMENT, Issue 3 2000Philippe Jorion The 1998 failure of Long-Term Capital Management (LTCM) is said to have nearly blown up the world's financial system. For such a near-catastrophic event, the finance profession has precious little information to draw from. By piecing together publicly available information, this paper draws risk management lessons from LTCM. LTCM's strategies are analysed in terms of the fund's Value at Risk (VAR) and the amount of capital necessary to support its risk profile. The paper shows that LTCM had severely underestimated its risk due to its reliance on short-term history and risk concentration. LTCM also provides a good example of risk management taken to the extreme. Using the same covariance matrix to measure risk and to optimize positions inevitably leads to biases in the measurement of risk. This approach also induces the strategy to take positions that appear to generate ,arbitrage' profits based on recent history but also represent bets on extreme events, like selling options. Overall, LTCM's strategy exploited the intrinsic weaknesses of its risk management system. [source] Unpredictable feeding schedules unmask a system for daily resetting of behavioural and metabolic food entrainmentEUROPEAN JOURNAL OF NEUROSCIENCE, Issue 10 2007Carolina Escobar Abstract Restricted feeding schedules (RFS) are a potent Zeitgeber that uncouples daily metabolic and clock gene oscillations in peripheral tissues from the suprachiasmatic nucleus (SCN), which remains entrained to the light,dark cycle. Under RFS, animals develop food anticipatory activity (FAA), characterized by arousal and increased locomotion. Food availability in nature is not precise, which suggests that animals need to adjust their food-associated activity on a daily basis. This study explored the capacity of rats to adjust to variable and unpredictable feeding schedules. Rats were exposed either to RFS with fixed daily meal (RF) or to a variable meal time (VAR) during the light phase. RF and VAR rats exhibited daily metabolic oscillations driven by the last meal event; however, VAR rats were not able to show a robust adjustment in the anticipating corticosterone peak. VAR rats were unable to exhibit FAA but exhibited a daily activation pattern in phase with the previous meal. In both groups the dorsomedial nucleus of the hypothalamus and arcuate nucleus, involved in energy balance, exhibited increased c-Fos expression 24 h after the last meal, while only RF rats exhibited low c-Fos expression in the SCN. Data show that metabolic and behavioural food-entrained rhythms can be reset on a daily basis; the two conditions elicit a similar hypothalamic response, while only the SCN is inhibited in rats exhibiting anticipatory activity. The variable feeding strategy uncovered a rapid (24-h basis) resetting mechanism for metabolism and general behaviour. [source] Long-Term Effects of Fiscal Policy on the Size and Distribution of the Pie in the UK,FISCAL STUDIES, Issue 3 2008Xavier Ramos C5; E6; H3 Abstract. This paper provides a joint analysis of the output and distributional long-term effects of various fiscal policies in the UK, using a vector autoregression (VAR) approach. Our findings suggest that the long-term impact on GDP of increasing public spending and taxes is negative, and especially strong in the case of current expenditure. We also find significant distributional effects associated with fiscal policies, indicating that an increase in public spending reduces inequality while a rise in indirect taxes increases income inequality. [source] Vector Autoregression (Var) , An Approach to Dynamic analysis of Geographic ProcessesGEOGRAFISKA ANNALER SERIES B: HUMAN GEOGRAPHY, Issue 2 2001Max Lu Vector autoregression (VAR) is a widely used econometric technique for multivariate time series modelling. This paper shows that with several very attractive features, VAR may also provide a valuable tool for analysing the dynamics among geographic processes and for spatial autoregressive modelling. After a brief discussion of the VAR approach, a VAR model for the dynamics of the US population between 1910 and 1990 is estimated and interpreted to illustrate the techniques. The VAR makes it possible to view the interactions among the four variables used in the model (total population, birth rate, immigration and per capita GNP) more adequately. The paper then discusses recent developments in the VAR methodology such as Bayesian vector autoregression (BVAR), spatial prior for regional modelling and cointegration, as well as the limitations and problems that arise from the application of VARs. [source] Firm Size, Industry Mix and the Regional Transmission of Monetary Policy in GermanyGERMAN ECONOMIC REVIEW, Issue 1 2004Ivo J. M. Arnold Monetary transmission; regional effects; industry effects; firm size Abstract. This paper estimates the impact of interest rate shocks on regional output in Germany over the period from 1970 to 2000. We use a vector autoregression (VAR) model to obtain impulse responses, which reveal differences in the output responses to monetary policy shocks across ten German provinces. Next, we investigate whether these differences can be related to structural features of the regional economies, such as industry mix, firm size, bank size and openness. An additional analysis of the volatility of real GDP growth for the period 1992,2000 includes the Eastern provinces. We also present evidence on the interrelationship between firm size and industry, and compare our measure of firm size with those used in previous studies. We conclude that the differential regional effects of monetary policy are related to industrial composition, but not to firm size or bank size. [source] TECHNOLOGY SHOCKS AND ROBUST SIGN RESTRICTIONS IN A EURO AREA SVAR,INTERNATIONAL ECONOMIC REVIEW, Issue 3 2009Gert Peersman We use a model-based identification strategy to estimate the impact of technology shocks on hours worked and employment in the euro area. The sign restrictions applied in the vector autoregression (VAR) analysis are consistent with a large class of dynamic stochastic general equilibrium (DSGE) models and are robust to parameter uncertainty. The results are in line with the conventional Real Business Cycle (RBC) interpretation that hours worked rise as a result of a positive technology shock. By comparing the sign restrictions method to the long-run restriction approach of Galí (Quaterly Journal of Economics,(1992) 709,38), we show that the results do not depend on the stochastic specification of the hours worked series or the data sample but only on the identification scheme. [source] What if the UK or Sweden had joined the euro in 1999?INTERNATIONAL JOURNAL OF FINANCE & ECONOMICS, Issue 1 2007An empirical evaluation using a Global VAR Abstract This paper attempts to provide a conceptual framework for the analysis of counterfactual scenarios using macroeconometric models. As an application we consider UK entry to the euro. Entry involves a long-term commitment to restrict UK nominal exchange rates and interest rates to be the same as those of the euro area. We derive conditional probability distributions for the difference between the future realizations of variables of interest (e.g. UK and euro area output and prices) subject to UK entry restrictions being fully met over a given period and the alternative realizations without the restrictions. The robustness of the results can be evaluated by also conditioning on variables deemed to be invariant to UK entry, such as oil or US equity prices. Economic interdependence means that such policy evaluation must take account of international linkages and common factors that drive fluctuations across economies. In this paper this is accomplished using the Global VAR recently developed by Dees et al. (J. Appl. Econometrics, 2007, forthcoming). The paper briefly describes the GVAR which has been estimated for 25 countries and the euro area over the period 1979,2003. It reports probability estimates that output will be higher and prices lower in the UK and the euro area as a result of entry. It examines the sensitivity of these results to a variety of assumptions about when and how the UK entered and the observed global shocks and compares them with the effects of Swedish entry. Copyright © 2007 John Wiley & Sons, Ltd. [source] Bayesian counterfactual analysis of the sources of the great moderationJOURNAL OF APPLIED ECONOMETRICS, Issue 2 2008Chang-Jin Kim We use counterfactual experiments to investigate the sources of the large volatility reduction in US real GDP growth in the 1980s. Contrary to an existing literature that conducts counterfactual experiments based on classical estimation and point estimates, we consider Bayesian analysis that provides a straightforward measure of estimation uncertainty for the counterfactual quantity of interest. Using Blanchard and Quah's (1989) structural VAR model of output growth and the unemployment rate, we find strong statistical support for the idea that a counterfactual change in the size of structural shocks alone, with no corresponding change in the propagation of these shocks, would have produced the same overall volatility reduction as what actually occurred. Looking deeper, we find evidence that a counterfactual change in the size of aggregate supply shocks alone would have generated a larger volatility reduction than a counterfactual change in the size of aggregate demand shocks alone. We show that these results are consistent with a standard monetary VAR, for which counterfactual analysis also suggests the importance of shocks in generating the volatility reduction, but with the counterfactual change in monetary shocks alone generating a small reduction in volatility. Copyright © 2007 John Wiley & Sons, Ltd. [source] The non-linear dynamics of output and unemployment in the U.S.JOURNAL OF APPLIED ECONOMETRICS, Issue 4 2001Filippo Altissimo This paper studies the joint dynamics of U.S. output and unemployment rate in a non-linear VAR model. The non-linearity is introduced through a feedback variable that endogenously augments the output lags of the VAR in recessionary phases. Sufficient conditions for the ergodicity of the model, potentially applying to a larger class of threshold models, are provided. The linear specification is rejected in favour of our threshold VAR. However, in the estimation the feedback is found to be statistically significant only on unemployment, while it transmits to output through its cross-correlation. This feedback effect from recessions generates important asymmetries in the propagation of shocks, a possible key to interpret the divergence in the measures of persistence in the literature. The regime-dependent persistence also explains the finding that the feedback from recession exerts a positive effect on the long-run growth rate of the economy, an empirical validation of the Schumpeterian macroeconomic theories. Copyright © 2001 John Wiley & Sons, Ltd. [source] Estimation and forecasting in first-order vector autoregressions with near to unit roots and conditional heteroscedasticityJOURNAL OF FORECASTING, Issue 7 2009Theologos Pantelidis Abstract This paper investigates the effects of imposing invalid cointegration restrictions or ignoring valid ones on the estimation, testing and forecasting properties of the bivariate, first-order, vector autoregressive (VAR(1)) model. We first consider nearly cointegrated VARs, that is, stable systems whose largest root, lmax, lies in the neighborhood of unity, while the other root, lmin, is safely smaller than unity. In this context, we define the ,forecast cost of type I' to be the deterioration in the forecasting accuracy of the VAR model due to the imposition of invalid cointegration restrictions. However, there are cases where misspecification arises for the opposite reasons, namely from ignoring cointegration when the true process is, in fact, cointegrated. Such cases can arise when lmax equals unity and lmin is less than but near to unity. The effects of this type of misspecification on forecasting will be referred to as ,forecast cost of type II'. By means of Monte Carlo simulations, we measure both types of forecast cost in actual situations, where the researcher is led (or misled) by the usual unit root tests in choosing the unit root structure of the system. We consider VAR(1) processes driven by i.i.d. Gaussian or GARCH innovations. To distinguish between the effects of nonlinear dependence and those of leptokurtosis, we also consider processes driven by i.i.d. t(2) innovations. The simulation results reveal that the forecast cost of imposing invalid cointegration restrictions is substantial, especially for small samples. On the other hand, the forecast cost of ignoring valid cointegration restrictions is small but not negligible. In all the cases considered, both types of forecast cost increase with the intensity of GARCH effects. Copyright © 2009 John Wiley & Sons, Ltd. [source] A New-Keynesian DSGE model for forecasting the South African economyJOURNAL OF FORECASTING, Issue 5 2009Dave' Liu, Guangling Abstract This paper develops a New-Keynesian Dynamic Stochastic General Equilibrium (NKDSGE) model for forecasting the growth rate of output, inflation, and the nominal short-term interest rate (91 days Treasury Bill rate) for the South African economy. The model is estimated via maximum likelihood technique for quarterly data over the period of 1970:1,2000:4. Based on a recursive estimation using the Kalman filter algorithm, out-of-sample forecasts from the NKDSGE model are compared with forecasts generated from the classical and Bayesian variants of vector autoregression (VAR) models for the period 2001:1,2006:4. The results indicate that in terms of out-of-sample forecasting, the NKDSGE model outperforms both the classical and Bayesian VARs for inflation, but not for output growth and nominal short-term interest rate. However, differences in RMSEs are not significant across the models. Copyright © 2008 John Wiley & Sons, Ltd. [source] Testing for Granger (non-)causality in a time-varying coefficient VAR modelJOURNAL OF FORECASTING, Issue 4 2008Dimitris K. Christopoulos Abstract In this paper we propose Granger (non-)causality tests based on a VAR model allowing for time-varying coefficients. The functional form of the time-varying coefficients is a logistic smooth transition autoregressive (LSTAR) model using time as the transition variable. The model allows for testing Granger non-causality when the VAR is subject to a smooth break in the coefficients of the Granger causal variables. The proposed test then is applied to the money,output relationship using quarterly US data for the period 1952:2,2002:4. We find that causality from money to output becomes stronger after 1978:4 and the model is shown to have a good out-of-sample forecasting performance for output relative to a linear VAR model. Copyright © 2008 John Wiley & Sons, Ltd. [source] Beating the random walk in Central and Eastern EuropeJOURNAL OF FORECASTING, Issue 3 2005Jesús Crespo Cuaresma Abstract We compare the accuracy of vector autoregressive (VAR), restricted vector autoregressive (RVAR), Bayesian vector autoregressive (BVAR), vector error correction (VEC) and Bayesian error correction (BVEC) models in forecasting the exchange rates of five Central and Eastern European currencies (Czech Koruna, Hungarian Forint, Slovak Koruna, Slovenian Tolar and Polish Zloty) against the US Dollar and the Euro. Although these models tend to outperform the random walk model for long-term predictions (6 months ahead and beyond), even the best models in terms of average prediction error fail to reject the test of equality of forecasting accuracy against the random walk model in short-term predictions. Copyright © 2005 John Wiley & Sons, Ltd. [source] A common model approach to macroeconomics: using panel data to reduce sampling errorJOURNAL OF FORECASTING, Issue 3 2005William T. Gavin Abstract Is there a common model inherent in macroeconomic data? Macroeconomic theory suggests that market economies of various nations should share many similar dynamic patterns; as a result, individual country empirical models, for a wide variety of countries, often include the same variables. Yet, empirical studies often find important roles for idiosyncratic shocks in the differing macroeconomic performance of countries. We use forecasting criteria to examine the macrodynamic behaviour of 15 OECD countries in terms of a small set of familiar, widely used core economic variables, omitting country-specific shocks. We find this small set of variables and a simple VAR ,common model' strongly support the hypothesis that many industrialized nations have similar macroeconomic dynamics. Copyright © 2005 John Wiley & Sons, Ltd. [source] The homogeneity restriction and forecasting performance of VAR-type demand systems: an empirical examination of US meat consumptionJOURNAL OF FORECASTING, Issue 3 2002Zijun Wang Abstract This paper compares the forecast performance of vector-autoregression-type (VAR) demand systems with and without imposing the homogeneity restriction in the cointegration space. US meat consumption (beef, poultry and pork) data are studied. One up to four-steps-ahead forecasts are generated from both the theoretically restricted and unrestricted models. A modified Diebold,Mariano test of the equality of mean squared forecast errors (MSFE) and a forecast encompassing test are applied in forecast evaluation. Our findings suggest that the imposition of the homogeneity restriction tends to improve the forecast accuracy when the restriction is not rejected. The evidence is mixed when the restriction is rejected. Copyright © 2002 John Wiley & Sons, Ltd. [source] A Generalized Portmanteau Test For Independence Of Two Infinite-Order Vector Autoregressive SeriesJOURNAL OF TIME SERIES ANALYSIS, Issue 4 2006Chafik Bouhaddioui Primary 62M10; secondary 62M15 Abstract., In many situations, we want to verify the existence of a relationship between multivariate time series. Here, we propose a semiparametric approach for testing the independence between two infinite-order vector autoregressive (VAR(,)) series, which is an extension of Hong's [Biometrika (1996c) vol. 83, 615,625] univariate results. We first filter each series by a finite-order autoregression and the test statistic is a standardized version of a weighted sum of quadratic forms in the residual cross-correlation matrices at all possible lags. The weights depend on a kernel function and on a truncation parameter. Using a result of Lewis and Reinsel [Journal of Multivariate Analysis (1985) Vol. 16, pp. 393,411], the asymptotic distribution of the test statistic is derived under the null hypothesis and its consistency is also established for a fixed alternative of serial cross-correlation of unknown form. Apart from standardization factors, the multivariate portmanteau statistic proposed by Bouhaddioui and Roy [Statistics and Probability Letters (2006) vol. 76, pp. 58,68] that takes into account a fixed number of lags can be viewed as a special case by using the truncated uniform kernel. However, many kernels lead to a greater power, as shown in an asymptotic power analysis and by a small simulation study in finite samples. A numerical example with real data is also presented. [source] Portfolio Value-at-Risk with Heavy-Tailed Risk FactorsMATHEMATICAL FINANCE, Issue 3 2002Paul Glasserman This paper develops efficient methods for computing portfolio value-at-risk (VAR) when the underlying risk factors have a heavy-tailed distribution. In modeling heavy tails, we focus on multivariate t distributions and some extensions thereof. We develop two methods for VAR calculation that exploit a quadratic approximation to the portfolio loss, such as the delta-gamma approximation. In the first method, we derive the characteristic function of the quadratic approximation and then use numerical transform inversion to approximate the portfolio loss distribution. Because the quadratic approximation may not always yield accurate VAR estimates, we also develop a low variance Monte Carlo method. This method uses the quadratic approximation to guide the selection of an effective importance sampling distribution that samples risk factors so that large losses occur more often. Variance is further reduced by combining the importance sampling with stratified sampling. Numerical results on a variety of test portfolios indicate that large variance reductions are typically obtained. Both methods developed in this paper overcome difficulties associated with VAR calculation with heavy-tailed risk factors. The Monte Carlo method also extends to the problem of estimating the conditional excess, sometimes known as the conditional VAR. [source] Dynamics of petroleum markets in OECD countries in a monthly VAR,VEC model (1995,2007)OPEC ENERGY REVIEW, Issue 1 2008Mehdi Asali This paper contains some results of a study in which the dynamics of petroleum markets in the Organization for Economic Cooperation and Development (OECD) is investigated through a vector auto regression (VAR),vector error correction model. The time series of the model comprises the monthly data for the variables demand for oil in the OECD, WTI in real term as a benchmark oil price, industrial production in OECD as a proxy for income and commercial stocks of crude oil and oil products in OECD for the time period of January 1995 to September 2007. The detailed results of this empirical research are presented in different sections of the paper; nevertheless, the general result that emerges from this study could be summarised as follows: (i) there is convincing evidence of the series being non-stationary and integrated of order one I(1) with clear signs of co-integration relations between the series; (ii) the VAR system of the empirical study appears stable and restores its dynamics as usual, following a shock to the rate of changes of different variables of the model, taking between five and eight periods (months in our case); (iii) we find the lag length of 2 as being optimal for the estimated VAR model; (iv) significant impact of changes in the commercial crude and products' inventory level on oil price and on demand for oil is highlighted in our empirical study and in different formulations of the VAR model, indicating the importance of the changes in the stocks' level on oil market dynamics; and (v) income elasticity of deman for oil appears to be prominent and statistically significant in most estimated models of the VAR system in the long run, while price elasticity of demand for oil is found to be negligible and insignificant in the short run. However, while aggregate oil consumption does not appear to be very sensitive to the changes of oil prices (which is believed to be because of the so-called ,rebound effect' of oil (energy) efficiency in the macro level) in the macro level, the declining trend of oil intensity (oil used for production of unit value of goods and services), particularly when there is an upward trend in oil price, clearly indicates the channels through which persistent changes in oil prices could affect the demand for oil in OECD countries. [source] A Vector Autoregressive Analysis Of An Oil-Dependent Emerging Economy , NigeriaOPEC ENERGY REVIEW, Issue 4 2000O. Felix Ayadi This paper models the interrelationship among a variety of macroeconomic variables representing the financial, as well as the energy, sectors of the Nigerian economy from 1975 through 1994. The attempt is to investigate the impact of the energy sector on the functioning of the Nigerian economy, including the financial markets. The investigation is explored within a vector autoregressive (VAR) system. The results reveal that the energy sector exerts a significant influence on the Nigerian economy by acting as a prime mover. More importantly, Nigeria seems to find itself in a vicious circle, because of its inability to exercise control over the price of its main export and its imports. Thus, the strength and autonomy exhibited by Nigerias macroeconomic managers during the oil boom era appears to have been barren. [source] A Coincident Index, Common Factors, and Monthly Real GDP,OXFORD BULLETIN OF ECONOMICS & STATISTICS, Issue 1 2010Roberto S. Mariano Abstract The Stock,Watson coincident index and its subsequent extensions assume a static linear one-factor model for the component indicators. This restrictive assumption is unnecessary if one defines a coincident index as an estimate of monthly real gross domestic products (GDP). This paper estimates Gaussian vector autoregression (VAR) and factor models for latent monthly real GDP and other coincident indicators using the observable mixed-frequency series. For maximum likelihood estimation of a VAR model, the expectation-maximization (EM) algorithm helps in finding a good starting value for a quasi-Newton method. The smoothed estimate of latent monthly real GDP is a natural extension of the Stock,Watson coincident index. [source] Testing the New Keynesian Phillips Curve Through Vector Autoregressive Models: Results from the Euro Area,OXFORD BULLETIN OF ECONOMICS & STATISTICS, Issue 1 2008Luca Fanelli Abstract This paper addresses the issue of testing the ,hybrid' New Keynesian Phillips curve (NKPC) through vector autoregressive (VAR) systems and likelihood methods, giving special emphasis to the case where the variables are non-stationary. The idea is to use a VAR for both the inflation rate and the explanatory variable(s) to approximate the dynamics of the system and derive testable restrictions. Attention is focused on the ,inexact' formulation of the NKPC. Empirical results over the period 1971,98 show that the NKPC is far from providing a ,good first approximation' of inflation dynamics in the Euro area. [source] Leaning into the Wind: A Structural VAR Investigation of UK Monetary Policy,OXFORD BULLETIN OF ECONOMICS & STATISTICS, Issue 5 2005Andrew Mountford Abstract This paper adapts Uhlig's [Journal of Monetary Economics (2005) forthcoming] sign restriction identification methodology to investigate the effects of UK monetary policy using a structural vector autoregression (VAR). It shows that shocks which can reasonably be described as monetary policy shocks have played only a small role in the total variation of UK monetary and macroeconomic variables. Most of the variation in UK monetary variables has been due to their systematic reaction to other macroeconomic shocks, namely non-monetary aggregate demand, aggregate supply, and oil price shocks. We also find, without imposing any long run identifying restrictions, that aggregate supply shocks have permanent effects on output. [source] Expectations Formation and Business Cycle Fluctuations: An Empirical Analysis of Actual and Expected Output in UK Manufacturing, 1975,1996OXFORD BULLETIN OF ECONOMICS & STATISTICS, Issue 4 2000Kevin Lee Direct measures of expectations, derived from survey data, are used in a Vector Autoregressive (VAR) model of actual and expected output in eight industries in the UK manufacturing sector. No evidence is found with which to reject rationality in the derived expectations series when measurement error is appropriately taken into account. The VAR analysis illustrates the importance of intersectoral interactions and business confidence in explaining the time profile of industrial outputs, examines the mechanisms by which shocks are propagated across sectors and over time and investigates the relative importance of sectoral and aggregate shocks of different types. [source] Permanent-transitory Decomposition in Var Models With Cointegration and Common CyclesOXFORD BULLETIN OF ECONOMICS & STATISTICS, Issue 4 2000Alain Hecq In this paper we derive permanent-transitory decompositions of non-stationary multiple times series generated by (r)nite order Gaussian VAR(p) models with both cointegration and serial correlation common features. We extend existing analyses to the two classes of reduced rank structures discussed in Hecq, Palm and Urbain (1998). Using the corresponding state space representation of cointegrated VAR models in vector error correction form we show how decomposition can be obtained even in the case where the number of common feature and cointegration vectors are not equal to the number of variables. As empirical analysis of US business fluctuations shows the practical relevance of the approach we propose. [source] On the Effects of Inflation Shocks in a Small Open EconomyTHE AUSTRALIAN ECONOMIC REVIEW, Issue 3 2007Sushanta K. Mallick The effects of monetary policies remain always an important topic in macroeconomics. In the literature (closed and open economy), there is no theoretical as well as empirical consensus regarding the effects of monetary policies. In this paper we examine the real effects of inflation in an open economy. Australia is a classic example of a small open economy and is known to exercise inflation targeting. Using quarterly data from Australia and employing vector autoregressive (VAR) analysis, we provide evidence that inflation, both in the short and long run, negatively affects durable and non-durable consumption and investment, and has a positive effect on the current account. Further, we show that consumption of durable goods is more sensitive than the consumption of non-durables during the initial periods following inflationary shocks. [source] SHORT-RUN AND LONG-RUN DETERMINANTS OF THE REAL EXCHANGE RATE IN MEXICOTHE DEVELOPING ECONOMIES, Issue 1 2008Antonia LÓPEZ VILLAVICENCIO C32; F31; F41; F49 This paper explores the real exchange rate behavior in Mexico from 1960 until 2005. Since the empirical analysis reveals that the real exchange rate is not mean reverting, we propose that economic fundamental variables affect its evolution in the long run. Therefore, based on equilibrium exchange rate paradigms, we propose a simple model of real exchange rate determination, which includes the relative GDP per capita, the real interest rates, and the net foreign assets over a long period of time. Our analysis also considers the dynamic adjustment in response to shocks through impulse response functions derived from the multivariate vector autoregressive (VAR) model. [source] Panel vector autoregression under cross-sectional dependenceTHE ECONOMETRICS JOURNAL, Issue 2 2008Xiao Huang Summary, This paper studies estimation in panel vector autoregression (VAR) under cross-sectional dependence. The time series are allowed to be an unknown mixture of stationary and unit root processes with possible cointegrating relations. The cross-sectional dependence is modeled with a factor structure. We extend the factor analysis in Bai and Ng (2002, Econometrica 70, 91,221) to vector processes. The fully modified (FM) estimator in Phillips (1995) is used for estimation in panel VAR and we also propose a factor augmented FM estimator. Our simulation results show this factor augmented FM estimator performs well when sample size is large. [source] MEASURING MONETARY POLICY IN THE UK: A FACTOR-AUGMENTED VECTOR AUTOREGRESSION MODEL APPROACHTHE MANCHESTER SCHOOL, Issue 2005GIANLUCA LAGANŔ This paper investigates the determinants of UK interest rates using a factor-augmented vector autoregression model (VAR), similar to the one suggested by Bernanke, Boivin and Eliasz (Quarterly Journal of Economics, Vol. 120 (2005), No. 1, pp. 387,422). The method allows impulse response functions to be generated for all the variables in the data set and so is able to provide a more complete description of UK monetary policy than is possible using standard VARs. The results show that the addition of factors to a benchmark VAR generates a more reasonable characterization of the effects of unexpected increases in the interest rate and, in particular, gets rid of a ,price puzzle' response present in the benchmark VAR. The extra information generated by this method, however, also brings to light other identification issues, notably house price and stock market ,puzzles'. Importantly the out-of-sample prediction performance of the factor-augmented VARs is also very good and strongly superior to those of the benchmark VAR and simple autoregression models. [source] NtSET1, a member of a newly identified subgroup of plant SET-domain-containing proteins, is chromatin-associated and its ectopic overexpression inhibits tobacco plant growthTHE PLANT JOURNAL, Issue 4 2001Wen-Hui Shen Summary The SET- and chromo-domains are recognized as signature motifs for proteins that contribute to epigenetic control of gene expression through effects on the regional organization of chromatin structure. This paper reports the identification of a novel subgroup of SET-domain-containing proteins in tobacco and Arabidopsis, which show highest homologies with the Drosophila position-effect-variegation repressor protein SU(VAR)3,9 and the yeast centromer silencing protein CLR4. The tobacco SET-domain-containing protein (NtSET1) was fused to the green fluorescence protein (GFP) that serves as a visual marker for localization of the recombinant protein in living cells. Whereas control GFP protein alone was uniformly dispersed within the nucleus and cytoplasm, the NtSET1-GFP fusion protein showed a non-uniform localization to multiple nuclear regions in interphase tobacco TBY2 cells. During mitosis, the NtSET1-GFP associated with condensed chromosomes with a non-random distribution. The NtSET1 thus appears to have distinct target regions in the plant chromatin. Overexpression of the NtSET1-GFP in transgenic tobacco inhibited plant growth, implicating the possible involvement of the NtSET1 in transcriptional repression of growth control genes through the formation of higher-order chromatin domains. [source] | |||||||||||||||||||||||||||||||||||||||||||