Kamiar Mohaddes

Growth, Development and Natural Resources: New Evidence Using a Heterogeneous Panel Analysis

This paper explores whether natural resource abundance is a curse or a blessing. To do so, we firstly develop a theory consistent econometric model, in which we show that there is a long run relationship between real income, the investment rate, and the real value of oil production. Secondly, we investigate the long-run (level) impacts of natural resource abundance on domestic output as well as the short-run (growth) effects. Thirdly, we explicitly recognize that there is a substantial cross-sectional dependence and cross-country heterogeneity in our sample, which covers 53 oil exporting and importing countries with very different historical and institutional backgrounds, and adopt the non-stationary panel methodologies developed by Pesaran (2006) and Pedroni (2000) for estimation. Our results, using the real value of oil production, rent or reserves as a proxy for resource endowment, reveal that oil abundance has a positive effect on both income levels and economic growth. While we accept that oil rich countries could benefit more from their natural wealth by adopting growth and welfare enhancing policies and institutions, we challenge the common view that oil abundance affects economic growth negatively.

Is there a Debt-Threshold Effect on Output Growth?

This paper studies the long-run impact of public debt expansion on economic growth and investigates whether the debt-growth relation varies with the level of indebtedness. Our contribution is both theoretical and empirical. On the theoretical side, we develop tests for threshold effects in the context of dynamic heterogeneous panel data models with crosssectionally dependent errors and illustrate, by means of Monte Carlo experiments, that they perform well in small samples. On the empirical side, using data on a sample of 40 countries (grouped into advanced and developing) over the 1965-2010 period, we find no evidence for a universally applicable threshold effect in the relationship between public debt and economic growth, once we account for the impact of global factors and their spillover effects. Regardless of the threshold, however, we find significant negative long-run effects of public debt build-up on output growth. Provided that public debt is on a downward trajectory, a country with a high level of debt can grow just as fast as its peers.

Does oil abundance harm growth

This article explores whether natural resource abundance is a curse. Our results reveal that oil abundance has a positive effect on both long-run income levels and short-run economic growth.

Debt, Inflation and Growth: Robust Estimation of Long-Run Effects in Dynamic Panel Data Models

This paper investigates the long-run effects of public debt and inflation on economic growth. Our contribution is both theoretical and empirical. On the theoretical side, we develop a cross-sectionally augmented distributed lag (CS-DL) approach to the estimation of long-run effects in dynamic heterogeneous panel data models with cross-sectionally dependent errors. The relative merits of the CS-DL approach and other existing approaches in the literature are discussed and illustrated with small sample evidence obtained by means of Monte Carlo simulations. On the empirical side, using data on a sample of 40 countries over the 1965-2010 period, we find significant negative long-run effects of public debt and inflation on growth. Our results indicate that, if the debt to GDP ratio is raised and this increase turns out to be permanent, then it will have negative effects on economic growth in the long run. But if the increase is temporary, then there are no long-run growth effects so long as debt to GDP is brought back to its normal level. We do not find a universally applicable threshold effect in the relationship between public debt and growth. We only find statistically significant threshold effects in the case of countries with rising debt to GDP ratios.

The Global Impact of the Systemic Economies and MENA Business Cycles

This paper analyzes spillovers from macroeconomic shocks in systemic economies (China, the Euro Area, and the United States) to the Middle East and North Africa (MENA) region as well as outward spillovers from a GDP shock in the Gulf Cooperation Council (GCC) countries and MENA oil exporters to the rest of the world. This analysis is based on a Global Vector Autoregression (GVAR) model, estimated for 38 countries/regions over the period 1979Q2 to 2011Q2. Spillovers are transmitted across economies via trade, financial, and commodity price linkages. The results show that the MENA countries are more sensitive to developments in China than to shocks in the Euro Area or the United States, in line with the direction of evolving trade patterns and the emergence of China as a key driver of the global economy. Outward spillovers from the GCC region and MENA oil exporters are likely to be stronger in their immediate geographical proximity, but also have global implications.

Inflation Differentials in the GCC: Does the Oil Cycle Matter?

This paper uses a pairwise approach to investigate the main factors that have been driving inflation differentials in the Gulf Cooperation Council (GCC) region for the past two decades. The results suggest that inflation differentials in the GCC are largely influenced by the oil cycle, mainly through the credit and fiscal channels. This implies that in order for the proposed monetary union to be successful, closer coordination of fiscal policies will be critical. The results also indicate that after controlling for cyclical factors, convergence increased even during the recent oil boom.

Oil Prices, External Income, and Growth: Lessons from Jordan

This paper extends the long-run growth model of Esfahani et al. (2009) to a labour exporting country that receives large inflows of external income - the sum of remittances, FDI and general government transfers - from major oil exporting economies. The theoretical model predicts real oil prices to be one of the main long-run drivers of real output. Using quarterly data between 1979 and 2009 on core macroeconomic variables for Jordan and a number of key foreign variables, we identify two long-run relationships: an output equation as predicted by theory and an equation linking foreign and domestic inflation rates. It is shown that real output in the long run is shaped by (i) oil prices through their impact on external income and in turn on capital accumulation, and (ii) technological transfers through foreign output. The empirical analysis of the paper confirms the hypothesis that a large share of Jordans output volatility can be associated with fluctuations in net income received from abroad. External factors, however, cannot be relied upon to provide similar growth stimuli in the future, and therefore it will be important to diversify the sources of growth in order to achieve a high and sustained level of income.

Oil, Volatility and Institutions:Cross-Country Evidence from Major Oil Producers

This paper examines the long-run effects of oil revenue and its volatility on economic growth as well as the role of institutions in this relationship. We collect annual and monthly data on a sample of 17 major oil producers over the period 1961-2013, and use the standard panel autoregressive distributed lag (ARDL) approach as well as its cross-sectionally augmented version (CS-ARDL) for estimation. Therefore, in contrast to the earlier literature on the resource curse, we take into account all three key features of the panel: dynamics, heterogeneity and cross-sectional dependence. Our results suggest that (i) there is a significant negative effect of oil revenue volatility on output growth, (ii) higher growth rate of oil revenue significantly raises economic growth, and (iii) better fiscal policy (institutions) can offset some of the negative effects of oil revenue volatility. We therefore argue that volatility in oil revenues combined with poor governmental responses to this volatility drives the resource curse paradox, not the abundance of oil revenues as such.

Does Inflation Slow Long-Run Growth in India?

This paper examines the long-run relationship between consumer price index industrial workers (CPI-IW) inflation and GDP growth in India. We collect data on a sample of 14 Indian states over the period 1989–2013, and use the cross-sectionally augmented distributed lag (CSDL) approach of Chudik et al. (2013) as well as the standard panel ARDL method for estimation—to account for cross-state heterogeneity and dependence, dynamics and feedback effects. Our findings suggest that, on average, there is a negative long-run relationship between inflation and economic growth in India. We also find statistically-significant inflation-growth threshold effects in the case of states with persistently-elevated inflation rates of above 5.5 percent. This suggest the need for the Reserve Bank of India to balance the short-term growthinflation trade-off, in light of the long-term negative effects on growth of persistently-high inflation.

Compilation, Revision and Updating of the Global VAR (GVAR) Database, 1979Q2-2016Q4

This is the latest version of the Global VAR (GVAR) dataset. The GVAR is a global modelling framework for analyzing the international macroeconomic transmission of shocks, taking into account drivers of economic activity, interlinkages and spillovers between different countries, and the effects of unobserved or observed common factors. This dataset includes quarterly macroeconomic variables for 33 economies (log real GDP, yit, the rate of inflation, dpit, short-term interest rate, rit, long-term interest rate, lrit, the log deflated exchange rate, epit, and log real equity prices, eqit), as well as quarterly data on commodity prices (oil prices, poilt, agricultural raw material, pmatt, and metals prices, pmetalt), over the 1979Q2 to 2019Q4 period. These 33 countries cover more than 90% of world GDP. You can download the data, as well as a description of the compilation, revision and updating of the GVAR Database, from the GVAR database website. It would be appreciated if use of the updated dataset could be acknowledged as: “Mohaddes and Raissi (2020). Compilation, Revision and Updating of the Global VAR (GVAR) Database, 1979Q2-2019Q4. University of Cambridge: Judge Business School (mimeo)”. ∗We are grateful to Paul Cashin, Alexander Chudik, M. Hashem Pesaran, and Vanessa Smith for their helpful comments and suggestions. The views expressed in this document are those of the authors and do not necessarily represent those of the International Monetary Fund or IMF policy. †Corresponding author. Email address: km418@cam.ac.uk.