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Measuring Energy Security
We present evidence on one facet of energy security in OECD economies - the extent of diversification in sources of oil and natural gas supplies. Viewed from the perspective of the energy-importing countries as a whole, there has not been much change in diversification in oil supplies over the last decade, but diversification in sources of natural gas supplies has increased steadily. We document the cross-country heterogeneity in the extent of diversification. We also show how the extent of diversification changes if account is taken of the political risk attached to suppliers; the size of the importing country; and transportation risk.
Confronting Inequality
Inequality has drastically increased in many countries around the globe over the past three decades. The widening gap between the very rich and everyone else is often portrayed as an unexpected outcome or as the tradeoff we must accept to achieve economic growth. In this book, three International Monetary Fund economists show that this increase in inequality has in fact been a political choice—and explain what policies we should choose instead to achieve a more inclusive economy. Jonathan D. Ostry, Prakash Loungani, and Andrew Berg demonstrate that the extent of inequality depends on the policies governments choose—such as whether to let capital move unhindered across national boundaries...
Uncertainty and Unemployment
We study the role of uncertainty shocks in explaining unemployment dynamics, separating out the role of aggregate and sectoral channels. Using S&P500 data from the first quarter of 1957 to third quarter of 2014, we construct separate indices to measure aggregate and sectoral uncertainty and compare their effects on the unemployment rate in a standard macroeconomic vector autoregressive (VAR) model. We find that aggregate uncertainty leads to an immediate increase in unemployment, with the impact dissipating within a year. In contrast, sectoral uncertainty has a long-lived impact on unemployment, with the peak impact occurring after two years. The results are consistent with a view that the impact of aggregate uncertainty occurs through a “wait-and-see” mechanism while increased sectoral uncertainty raises unemployment by requiring greater reallocation across sectors.
Aggregate Uncertainty and Sectoral Productivity Growth
We show that an increase in aggregate uncertainty—measured by stock market volatility—reduces productivity growth more in industries that depend heavily on external finance. This effect is larger during recessions, when financing constraints are more likely to be binding, than during expansions. Our statistical method—a difference-in-difference approach using productivity growth for 25 industries for 18 advanced economies over the period 1985-2010—mitigates concerns with omitted variable bias and reverse causality. The results are robust to the inclusion of other sources of interaction effects, such as financial development (Rajan and Zingales, 1998) and counter-cyclical fiscal policy (Aghion et al., 2014). The results also hold if economic policy uncertainty (Baker et al., 2015) is used instead of stock market volatility as the measure of aggregate uncertainty.
Inequality and Locational Determinants of the Distribution of Living Standards in India
Using 2011-12 consumption micro-data, we find that nearly one-third of the variation in living standards in India can be explained by location alone. Consumption levels and locational inequality are positively related. In effect, from an individual’s perspective, living standards are higher in richer, but more unequal, locations in India. The central factor behind these findings is the large difference in average consumption levels between rural and urban India and continued divergence in per-capita incomes between rich and poor states. Our results provide a possible explanation for the persistence of economic migration from rural to urban areas within a fast-growing emerging economy. While individuals cannot easily alter specific characteristics like their caste or religion, they have some freedom to change their location to enjoy better living standards.
Information Rigidities in Economic Growth Forecasts
We examine the behavior of forecasts for real GDP growth using a large panel of individual forecasts from 30 advanced and emerging economies during 1989–2010. Our main findings are as follows. First, our evidence does not support the validity of the sticky information model (Mankiw and Reis, 2002) for describing the dynamics of professional growth forecasts. Instead, the empirical evidence is more in line with implications of "noisy" information models (Woodford, 2002; Sims, 2003). Second, we find that information rigidities are more pronounced in emerging economies than advanced economies. Third, there is evidence of nonlinearities in forecast smoothing. It is less pronounced in the tails of the distribution of individual forecast revisions than in the central part of the distribution.
Emissions and Growth: Trends and Cycles in a Globalized World
Recent discussions of the extent of decoupling between greenhouse gas (GHG) emissions and real gross domestic product (GDP) provide mixed evidence and have generated much debate. We show that to get a clear picture of decoupling it is important to distinguish cycles from trends: there is an Environmental Okun's Law (a cyclical relationship between emissions and real GDP) that often obscures the trend relationship between emissions and real GDP. We show that, once the cyclical relationship is accounted for, the trends show evidence of decoupling in richer nations—particularly in European countries, but not yet in emerging markets. The picture changes somewhat, however, if we take into consi...
Information Rigidities
We study forecasts for real GDP growth using a large panel of individual forecasts from 36 advanced and emerging economies during 1989–2010. We show that the degree of information rigidity in average forecasts is substantially higher than that in individual forecasts. Individual level forecasts are updated quite frequently, a behavior more in line “noisy” information models (Woodford, 2002; Sims, 2003) than with the assumptions of the sticky information model (Mankiw and Reis, 2002). While there are cross-country variations in information rigidity, there is no systematic difference between advanced and emerging economies.
Do Forecasters Believe in Okun’s Law? An Assessment of Unemployment and Output Forecasts
This paper provides an assessment of the consistency of unemployment and output forecasts. We show that, consistent with Okun’s Law, forecasts of real GDP growth and the change in unemployment are negatively correlated. The Okun coefficient—the responsiveness of unemployment to growth—from forecasts is fairly similar to that in the data for various countries. Furthermore, revisions to unemployment forecasts are negatively correlated with revisions to real GDP forecasts. These results are based on forecasts taken from Consensus Economics for nine advanced countries since 1989.
