Long-run Restrictions Research Articles

Current account, productivity and terms of trade shocks in Norway

Economic theory suggests that a permanent rise in terms of trade should result in a permanent rise in the standard of living. The increase comes from a permanent rise in productivity following an efficient reallocation of resources in a frictionless economy. This article presents Norway as a counterexample using three-variable Structural Vector Moving Average (SVMA) with long-run restrictions. The results show that permanent shocks to terms of trade improve the current account and have almost no effect on the output per capita growth. An over-identification test that restricts the permanent shocks to terms of trade to have only temporary effects on output per capita growth cannot be rejected as well. Overall, those shocks that have permanent effects on terms of trade or output per capita growth do not have permanent effects on each other. The empirical evidence suggests that strong intersectoral rigidities to reallocation of resources are present in Norway.

Sensitivity of Impulse Responses to Small Low-Frequency Comovements: Reconciling the Evidence on the Effects of Technology Shocks

This article clarifies the empirical source of the debate on the effect of technology shocks on hours worked. We find that the contrasting conclusions from levels and differenced vector autoregression specifications, documented in the literature, can be explained by a small low-frequency comovement between hours worked and productivity growth that gives rise to a discontinuity in the solution for the structural coefficients identified by long-run restrictions. Whereas the low-frequency comovement is allowed for in the levels specification, it is implicitly set to 0 in the differenced vector autoregression. Consequently, even when the root of hours is very close to 1 and the low-frequency comovement is quite small, removing it can give rise to biases of sufficient size to account for the empirical difference between the two specifications.

Foreign and domestic growth drivers in Eastern Europe

This paper analyses the growth effects of capital formation, exports and FDI as major, drivers of economic development in Eastern Europe. The fundamental innovations are, identified by empirically and theoretically motivated short- and long-run restrictions in, structural cointegrated vector autoregressions. Impulse responses and variance, decompositions reveal quite different growth effects in various Eastern European countries. Generally, a strong reliance on exports goes along with higher GDP, and FDI bears, substantial potential for fostering economic growth. It is shown that the recent worldwide, recession clearly hit Eastern Europe through the export channel, whereas the recovery is, mainly supported by positive demand shocks.

Macroeconomic Impacts of Carbon Dioxide Emission Shocks and Contemporaneous Feedback Effects: A Post-Keynesian Analysis

This paper attempts to analyze the dynamic effect of carbon dioxide emission on key macroeconomic variables of Australia, China and Japan for the period of 1980 to 2008. A Kaleckian-Post-Keynesian multi-sectoral open economy model, which is augmented by a demand driven labour market, a reserve army effect in the Marxian sense and technological change is being utilized and econometric long run relationship between variables are investigated. The paper mainly focuses on the link between carbon emission and sources of economic development such as investment, saving, income distribution and labor market fluctuations. By employing the Structural vector autoregressive (SVAR) approach, the paper investigates that if there is a cointegrating relationship between the variables in selected countries by imposing short and long-run restriction on SVAR model. The short run restrictions impose contemporaneous feedback effects among the real sector variables and CO2 following the methodology described in Bernanke (1986), Blanchard and Watson (1986), and Sims (1986), and the long run restrictions in SVAR approach is an alternative to cointegration for capturing long-run equilibrium relationships. In this study we assume that economy faces exogenous, random positive and/or negative shocks to CO₂ emission levels, which can have substantial impact on key macroeconomic indicators, then the main intention is to examine whether key macroeconomic indicators differ significantly in their responses to shocks (unexpected variation) of carbon dioxide emission in the medium term to long run.

On the choice of an anchor for the GCC currency: does the symmetry of shocks extend to both the oil and the non-oil sectors?

This paper assesses the costs of forming a monetary union among the Gulf Cooperation Council (GCC) countries by looking at economic linkages within the GCC, and between the GCC and the potential anchors (the US, and major European countries such as France, Germany and Italy) for their proposed new currency. We investigate the importance of the US dollar compared to the Euro by focusing on aggregate demand (AD) and aggregate supply (AS) shock symmetry across these countries. We differentiated between oil and non-oil sector by estimating structural vector autoregression (SVAR) models with a combination of variables: oil output, non-oil output, total output, nominal/real price of oil and overall price level. One set of models was identified with the long-run restrictions of Blanchard and Quah (Am Econ Rev 79(4):655–673, 1989), whereas the set that assesses the robustness of the findings was estimated with the short-run restrictions of Sims (Eur Econ Rev 36(5):975–1000, 1992). We find overwhelming support for AD shock symmetry across the GCC countries and between the GCC and the US, but none for the major European countries with the GCC. Non-oil AS shocks are mostly asymmetric, but oil AS shocks are mostly symmetric when the real price of oil is included. This agrees with the view that GCC countries are subjected to common oil shocks. It also suggests that previous VAR models estimated to pass judgment on the feasibility of monetary union across GCC countries may have suffered from problems of mis-specification if the real price of oil was not considered. We surmise that the US dollar is a better anchor candidate for anchoring the new GCC currency than the Euro, since US monetary policy can at least help smooth demand shocks in these countries.

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Model selection, estimation and forecasting in VAR models with short-run and long-run restrictions

We study the joint determination of the lag length, the dimension of the cointegrating space and the rank of the matrix of short-run parameters of a vector autoregressive (VAR) model using model selection criteria. We suggest a new two-step model selection procedure which is a hybrid of traditional criteria and criteria with data-dependant penalties and we prove its consistency. A Monte Carlo study explores the finite sample performance of this procedure and evaluates the forecasting accuracy of models selected by this procedure. Two empirical applications confirm the usefulness of the model selection procedure proposed here for forecasting.

Can Long-Run Restrictions Identify Technology Shocks?

Gali's innovative approach of imposing long-run restrictions on a vector autoregression (VAR) to identify the effects of a technology shock has become widely utilized. In this paper, we investigate its reliability through Monte Carlo simulations of several relatively standard business cycle models. We find it encouraging that the impulse responses derived from applying the Gali methodology to the artificial data generally have the same sign and qualitative pattern as the true responses. However, we highlight the importance of small-sample bias in the estimated impulse responses and show that the magnitude and sign of this bias depend on the model structure. Accordingly, we caution against interpreting responses derived from this approach as model-independent stylized facts. Moreover, we find considerable estimation uncertainty about the quantitative impact of a technology shock on macroeconomic variables, and a corresponding level of uncertainty about the contribution of technology shocks to the business cycle.

Balanced growth and the great ratios: New evidence for the US and UK

Standard macroeconomic models suggest that the ‘great ratios’ of consumption to output and investment to output should be stable functions of structural parameters. We examine whether the ratios are stationary for the US and UK, allowing for structural breaks that could reflect time-varying parameters. We find stronger evidence for stationarity than previous work. We then use the long-run restrictions associated with the stationarity of the great ratios to extract measures of trend output from the joint behavior of consumption, investment and output. This approach is attractive because it uses information from several series without requiring restrictive assumptions.

Sources of Exchange Rate Movements in Japan: Is the Exchange Rate a Shock-Absorber or a Source of Shock?

This paper investigates the sources of movements of the yen–dollar exchange rate using a structural vector autoregression (VAR) with a combination of short-run and long-run zero restrictions. We find that real shocks dominate nominal shocks in explaining the exchange rate movements, with relative real demand shocks as the major contributor. The exchange rate market does not seem to be a major source of disturbances to the Japanese economy. The overall results support the view that the bilateral dollar exchange rate in Japan is a shock-absorber rather than a source of shocks.

Long-run impacts of inflation across sectors in a small sample of countries

This article investigates the long-run effects of inflation on economic output for 10 sectors of the economy, with a sample of 7 countries. The analysis is done using long-run restrictions in a vector autoregression and reports long-run multipliers with bootstrapped confidence bands. The results suggest that some sectors seem to be affected differently than others, as well as significant heterogeneity across countries. The results suggest the strongest effects in the low inflation countries Germany and Japan as has been found in similar studies. In contrast to research using growth regressions, the evidence suggests a positive long-run effect of inflation on output.

Structural Vector Autoregressions: Theory of Identification and Algorithms for Inference

Structural vector autoregressions (SVARs) are widely used for policy analysis and to provide stylized facts for dynamic general equilibrium models. Yet there have been no workable rank conditions to ascertain whether an SVAR is globally identified. When identifying restrictions such as long-run restrictions are imposed on impulse responses, there have been no efficient algorithms for small-sample estimation and inference. To fill these important gaps in the literature, this paper makes four contributions. First, we establish general rank conditions for global identification of both overidentified and exactly identified models. Second, we show that these conditions can be checked as a simple matrix- filling exercise and that they apply to a wide class of identifying restrictions, including linear and certain nonlinear restrictions. Third, we establish a very simple rank condition for exactly identified models that amounts to a straightforward counting exercise. Fourth, we develop a number of efficient algorithms for small-sample estimation and inference.

Econometric modelling for short-term oil price forecasting

There is a lot of interest in forecasting oil price and in analysing which variables most affect price movements, especially whether non-fundamental variables such as financial activity have any systematic impact on oil price. In this paper we approach both questions by constructing a congruent econometric model with financial and fundamental variables and by analysing the relative weight of the variables in explaining the oil price forecast. After testing for different variables we find that the most accurate forecast from a monthly econometric vector model on oil price is obtained when non-commercial long positions, petroleum stocks and spare capacity are included as explanatory variables. The incorporation of non-commercial long positions clearly improves the accuracy of the prediction. The vector model is specified to include empirical cointegration relationship, which provides an approximation on the long-run restriction postulated by economic theory.

The role of house prices in the monetary policy transmission mechanism in small open economies

We analyse the role of house prices in the monetary policy transmission mechanism in Norway, Sweden and the UK, using structural VARs. A solution is proposed to the endogeneity problem of identifying shocks to interest rates and house prices by using a combination of short-run and long-run (neutrality) restrictions. By allowing the interest rate and house prices to react simultaneously to news, we find the role of house prices in the monetary transmission mechanism to increase considerably. In particular, house prices react immediately and strongly to a monetary policy shock. Furthermore, the fall in house prices enhances the negative response in output and consumer price inflation that has traditionally been found in the conventional literature. Moreover, we find that the interest rate responds systematically to a change in house prices. However, the strength and timing of response varies between the countries, suggesting that housing may play a different role in the monetary policy setting.

Are Spectral Estimators Useful for Implementing Long-Run Restrictions in SVARs?

... No, not really, since spectral estimators suffer from small sample and misspecification biases just as VARs do. Spectral estimators are no panacea for implementing long-run restrictions. In addition, when combining VAR coefficients with non-parametric estimates of the spectral density, care needs to be taken to consistently account for information embedded in the non-parametric estimates about serial correlation in VAR residuals. This paper uses a spectral factorization to ensure a correct representation of the data's variance. But this cannot overcome the fundamental problems of estimating the long-run dynamics of macroeconomic data in samples of typical length.

On the feasibility of monetary union among Gulf Cooperation Council (GCC) countries: does the symmetry of shocks extend to the non-oil sector?

GCC countries’ output is heavily dichotomized into oil and non-oil. Oil shocks have similar effects on all member countries but little is known about their responses to non-oil shocks. This paper sets out to determine (1) whether aggregate demand (AD) and non-oil supply shocks (AS) are symmetrical across these countries to justify their suitability for monetary union; and (2) whether there is any commonality of shocks with the United States and the three major European countries, namely France, Germany, and Italy, which can warrant the choice of either the US dollar or the Euro as the anchor for the expected common currency of the bloc. We use bivariate structural vector autoregression models identified with long-run restrictions to extract the shocks. Our results show that (a) AD shocks are unequivocally symmetrical but non-oil AS shocks are weakly symmetrical across GCC countries thereby suggesting a monetary union is feasible, but not overwhelmingly; (b) neither AD nor AS shocks are symmetrical between GCC countries and the selected European countries; (c) GCC’s AD shocks are symmetrical with the US but non-oil AS shock are not. Furthermore, there are no significant changes in the results when we aggregate the GCC countries as a bloc. We therefore surmise that the US dollar is a more appropriate anchor for the new currency than the Euro since US monetary policy can at least help smooth demand shocks in GCC countries.

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Are Spectral Estimators Useful for Implementing Long-Run Restrictions in SVARs?

No, not really. Responding to lingering concerns about the reliability of SVARs, Christiano et al (NBER Macro Annual, 2006, CEV) propose to combine OLS estimates of a VAR with a spectral estimate of long-run variance. In principle, this could help alleviate specification problems of SVARs in identifying long-run shocks. But in practice, spectral estimators suffer from small sample biases similar to those from VARs. Moreover, the spectral estimates contain information about serial correlation in VAR residuals and the VAR dynamics must be adjusted accordingly. Otherwise, a naive application of the CEV procedure would misrepresent the data's variance.

Are Structural VARs with Long-Run Restrictions Useful for Developing Monetary Policy Strategy in Egypt?

On the basis of SVAR models of monetary policy in Egypt for the period December 1976–May 2006, our paper explores a new empirical assessment for the interest rate channel in correcting trouble in the Egyptian economy by imposing contemporaneous and long run restrictions. It appears that after a monetary policy expansion, output is stable in the first period, rises temporarily reaching the baseline at t = 40, and the global monetary aggregate rises but not significantly. In addition, the price level rises with great difficulties in response to a negative interest rate shock to the global liquidity aggregate. The excess of money supply has a transitory effect on the Egyptian output but it causes inflation pressures. SVAR Blanchard and Quah (1989) estimation reveals contradictory results to the previous findings. Last but certainly not least, this means that the effect of bank lending and the interest rate channels on the economy are limited in time. The paper shows that the transmission of monetary policy through the interest rate channel has become weak in the short run but more important in the long run. Nonetheless, the bank lending channel through the commercial bank lending is not a potent monetary transmission mechanism.

Macroeconomic shocks and the co-movement of stock returns in Latin America

This paper studies the economic sources underlying the co-movement of real stock returns in Latin America. Following the literature on structural vector autoregressive models (SVARs), I use long-run restrictions to identify three structural shocks: demand, supply, and portfolio shocks. For some countries, portfolio shocks are important factors behind real stock returns. Furthermore, these shocks seem to be important in explaining cross-country co-movement patterns. However, these findings are not statistically strong due to the degree of uncertainty about the estimates of the importance of each structural shock and the cross-correlation coefficients. Therefore, macroeconomic shocks (supply and demand) cannot be neglected in accounting for the dynamics of real stock returns.