Import Price Dynamics in Major Advanced Economies and Heterogeneity in Exchange Rate Pass-Through

This paper aims at showing heterogeneity in the degree of exchange rate pass-through to import prices in major advanced economies at three different levels: 1) across destination markets; 2) across types of exporters (distinguishing developed economy from emerging economy exporters); and 3) over time. Based on monthly data over the period 1991–2007, the results show first that large destination markets exhibit the lowest degrees of pass-through. The degree of pass-through for goods imported from emerging economies is also significantly lower than for those from developed economies. Regarding the evolution over time, no clear change in pricing behaviours can be identified and particular events, like large exchange rates depreciations during the Asian crisis, seem to influence the degree of pass-through related to imports from emerging economies.Exchange rates; Inflation and prices

The global financial cycle and US monetary policy in an interconnected world

We assess the international spillovers of US monetary policy with a large-scale global VAR which models the world economy as a network of interdependent countries. An expansionary US monetary policy shock contributes to the emergence of a Global Financial Cycle, which boosts macroeconomic activity worldwide. We also find that economies with floating exchange rate regimes are not fully insulated from US monetary policy shocks and, even though they appear to be relatively less affected by the shocks, the differences in responses across exchange rate regimes are not statistically significant. The role of US monetary policy in driving these macrofinancial spillovers gets even reinforced by the complex network of interactions across countries, to the extent that network effects roughly double the direct impacts of US monetary policy surprises on international equity prices, capital flows, and global growth. This amplification increases as countries get more globally integrated over time, suggesting that the evolving network is an important driver for the increasing role of US monetary policy in shaping the Global Financial Cycle.Este trabajo analiza los efectos macrofinancieros globales derivados de la política monetaria de Estados Unidos mediante la estimación de un modelo de vector autorregresivo global (GVAR), que presenta la economía mundial como una red de países interdependientes.Un shock expansivo de la política monetaria de Estados Unidos contribuye a la aparición de un ciclo financiero global, que impulsa la actividad económica en todo el mundo. Se destaca que las economías con regímenes de tipo de cambio flexibles no están completamente aisladas de los shocks de política monetaria de Estados Unidos y, aunque parecen estar relativamente menos afectadas, las diferencias en las respuestas entre regímenes de tipos de cambio no son estadísticamente significativas. El papel de la política monetaria de Estados Unidos se ve incluso reforzado por la compleja red de interacciones entre países, en la medida en que los efectos de la red duplican aproximadamente los impactos directos de las sorpresas de la política monetaria en los precios internacionales de las acciones, los flujos de capital y el crecimiento global. Esta amplificación aumenta a medida que los países se integran más a escala global con el tiempo, lo que sugiere que la evolución de la red es determinante para el papel cada vez más relevante de la política monetaria de Estados Unidos en la configuración del ciclo financiero global

Long Run Macroeconomic Relations in the Global Economy

This paper focuses on testing long run macroeconomic relations for interest rates, equity, prices and exchange rates within a model of the global economy. It considers a number of plausible long run relationships suggested by arbitrage in financial and goods markets, and uses the global vector autoregressive (GVAR) model developed in Dees, di Mauro, Pesaran and Smith (2007) to test for long run restrictions in each country/region conditioning on the rest of the world. Bootstrapping is used to compute both the empirical distribution of the impulse responses and the log-likelihood ratio statistic for over-identifying restrictions. The paper also examines the speed with which adjustments to the long run relations take place via the persistence profiles. We find strong evidence in favour of the uncovered interest parity and to a lesser extent the Fisher equation across a number of countries, but our results for the PPP are much weaker. Also as to be expected, the transmission of shocks and subsequent adjustments in financial markets are much faster than those in goods markets.Global VAR, interdependencies, Fisher relationship, Uncovered Interest Rate Parity, Purchasing Power Parity, persistence profile, error variance decomposition

Identification of New Keynesian Phillips Curves from a Global Perspective

New Keynesian Phillips Curves (NKPC) have been extensively used in the analysis of monetary policy, but yet there are a number of issues of concern about how they are estimated and then related to the underlying macroeconomic theory. The first is whether such equations are identified. To check identification requires specifying the process for the forcing variables (typically the output gap) and solving the model for inflation in terms of the observables. In practice, the equation is estimated by GMM, relying on statistical criteria to choose instruments. This may result in failure of identification or weak instruments. Secondly, the NKPC is usually derived as a part of a DSGE model, solved by log-linearising around a steady state and the variables are then measured in terms of deviations from the steady state. In practice the steady states, e.g. for output, are usually estimated by some statistical procedure such as the Hodrick-Prescott (HP) filter that might not be appropriate. Thirdly, there are arguments that other variables, e.g. interest rates, foreign inflation and foreign output gaps should enter the Phillips curve. This paper examines these three issues and argues that all three benefit from a global perspective. The global perspective provides additional instruments to alleviate the weak instrument problem, yields a theoretically consistent measure of the steady state and provides a natural route for foreign inflation or output gap to enter the NKPC.New Keynesian Phillips Curve, identification, Global VAR (GVAR), trend-cycle decomposition

Identification of New Keynesian Phillips Curves from a Global Perspective

New Keynesian Phillips Curves (NKPC) have been extensively used in the analysis of monetary policy, but yet there are a number of issues of concern about how they are estimated and then related to the underlying macroeconomic theory. The first is whether such equations are identified. To check identification requires specifying the process for the forcing variables (typically the output gap) and solving the model for inflation in terms of the observables. In practice, the equation is estimated by GMM, relying on statistical criteria to choose instruments. This may result in failure of identification or weak instruments. Secondly, the NKPC is usually derived as a part of a DSGE model, solved by log-linearising around a steady state and the variables are then measured in terms of deviations from the steady state. In practice the steady states, e.g. for output, are usually estimated by some statistical procedure such as the Hodrick-Prescott (HP) filter that might not be appropriate. Thirdly, there are arguments that other variables, e.g.interest rates, foreign inflation and foreign output gaps should enter the Phillips curve. This paper examines these three issues and argues that all three benefit from a global perspective. The global perspective provides additional instruments to alleviate the weak instrument problem, yields a theoretically consistent measure of the steady state and provides a natural route for foreign inflation or output gap to enter the NKPC.Global VAR (GVAR), identification, New Keynesian Phillips Curve, Trend-Cycle decomposition

Supply, Demand and Monetary Policy Shocks in a Multi-Country New Keynesian Model

This paper estimates and solves a multi-country version of the standard DSGE New Keynesian (NK) model. The country-specific models include a Phillips curve determining inflation, an IS curve determining output, a Taylor Rule determining interest rates, and a real effective exchange rate equation. The IS equation includes a real exchange rate variable and a country-specific foreign output variable to capture direct inter-country linkages. In accord with the theory all variables are measured as deviations from their steady states, which are estimated as long-horizon forecasts from a reduced-form cointegrating global vector autoregression. The resulting rational expectations model is then estimated for 33 countries on data for 1980Q1-2006Q4, by inequality constrained IV, using lagged and contemporaneous foreign variables as instruments, subject to the restrictions implied by the NK theory. The multi-country DSGE NK model is then solved to provide estimates of identified supply, demand and monetary policy shocks. Following the literature, we assume that the within country supply, demand and monetary policy shocks are orthogonal, though shocks of the same type (e.g. supply shocks in different countries) can be correlated. We discuss estimation of impulse response functions and variance decompositions in such large systems, and present estimates allowing for both direct channels of international transmission through regression coefficients and indirect channels through error spillover effects. Bootstrapped error bands are also provided for the cross country responses of a shock to the US monetary policy.global VAR (GVAR), New Keynesian DSGE models, supply shocks, demand shocks, monetary policy shocks

Exploring the International Linkages of the Euro Area: a Global VAR Analysis

This paper presents a global model linking individual country vector error-correcting models in which the domestic variables are related to the country-specific variables as an approximate solution to a global common factor model. This global VAR is estimated for 26 countries, the euro area being treated as a single economy. This paper proposes two important extensions of previous research (see Pesaran, Schuermann and Weiner, 2004). First, it provides a theoretical framework where the GVAR is derived as an approximation to a global unobserved common factor model. Also using average pair-wise cross-section error correlations, the GVAR approach is shown to be quite effective in dealing with the common factor interdependencies and international comovements of business cycles. Second, in addition to generalised impulse response functions, we propose an identification scheme to derive structural impulse responses. We focus on identification of shocks to the US economy, particularly the monetary policy shocks, and consider the time profiles of their effects on the euro area. To this end we include the US model as the first country model and consider alternative orderings of the US variables. Further to the US monetary policy shock, we also consider oil price, US equity and US real output shocks.Global VAR (GVAR), global interdependencies, global macroeconomic modeling, impulse responses

Assessing the Role of Institutions in Limiting the Environmental Externalities of Economic Growth

Emissions of pollutants tend to be procyclical as they generally increase with economic growth. However, as government policy has a role to play in the mitigation of the environmental consequences of economic activity, the quality of institutions may influence the procyclicality of pollution and reduce the environmental cost of economic growth. Based on the assumption that changes in emissions are stronger at earlier stages of development, we develop a non-linear framework and confirm first the presence of income-related threshold effects in the relationship between pollution (CO2 and greenhouse gas emissions) and growth, for a panel of 142 countries over a period spanning from 1960 to 2017. We also find that institutional quality influences this relationship, lowering both the value of the threshold and the degree of procyclicality of emissions. These results bring therefore evidence that higher institutional quality can attenuate the environmental externalities of economic growth

Credit, asset prices and business cycles at the global level

This paper assesses the role of financial variables in real economic fluctuations, in view of analysing the link between financial cycles and business cycles at the global level. A Global VAR modelling approach is used to first assess the contribution of credit and asset price variables to real economic activity in a number of countries and regions. The GVAR model is based on 38 countries estimated over 1987-2013. An analysis on a sample excluding the post-financial crisis period is also provided to check whether financial variables have gained importance in explaining business cycle fluctuations over the recent past. In a second step, financial shocks are identified through sign restrictions in order to illustrate how financial and business cycles could be related. Overall, the paper shows that the importance of credit and asset price variables in explaining real economic fluctuations is relatively large, but has not significantly increased since the global financial crisis. The international transmission of financial shocks on business cycle fluctuations also tends to be large and persistent

The role of confidence shocks in business cycles and their global dimension

This paper uses survey data on consumer sentiment to identify the causal effects of confidence shocks on real economic activity in a selection of advanced economies. Starting from a set of closed-economy VAR models, we show that these shocks have a significant and persistent impact on domestic consumption and real GDP. In line with the existing literature, we find that confidence shocks explain a large share of the forecast error variance of real economic activity. At the same time, the shocks we identify are significantly correlated across countries. In order to account for common global components in international confidence cycles, we extend the analysis to a FAVAR model. This approach proves effective in removing the correlation in country-specific confidence shocks and in isolating mutually orthogonal idiosyncratic components. As a result, the (domestic and cross-border) effects of country-specific confidence shocks are attenuated and the forecast error variance contributions are reduced. Overall, our findings suggest that, while confidence shocks play an important role in domestic business cycle fluctuations, they contain a strong common component, which confirms their global dimension