1,721,054 research outputs found
Resenha de: OSTRY, Jonathan; LOUNGANI, Prakash; FURCERI, Davide. Neoliberalism oversold? Finance & Development, Junho 2016.
Get PDFResenha de: OSTRY, Jonathan; LOUNGANI, Prakash; FURCERI, Davide. Neoliberalism oversold? Finance & Development, Junho 2016
Replication Data for: "Regional Labor Market Adjustment in the United States: Trend and Cycle"
No full textDao, Mai, Furceri, Davide, and Loungani, Prakash, (2017) "Regional Labor Market Adjustment in the United States: Trend and Cycle." Review of Economics and Statistics 99:2, 243-257
Trends and cycles in CO2 emissions and incomes: Cross-country evidence on decoupling
Get PDFThis paper provides cross-country evidence on the relationship between growth in CO2 emissions and real GDP growth from 1960 to 2018. The focus is on distinguishing longer-run trends in this relationship from short-run cyclical fluctuations, and on documenting changes in these relationships over time. Using two filtering techniques for separating trend and cycle, we find that long-run trends show evidence of decoupling in richer nations—particularly in European countries—but not yet in developing economies, and that there is stronger evidence of decoupling over the 1990 to 2018 sub-period than over the earlier 1960 to 1989 sub-period. There is also a strong cyclical relationship between emissions and real GDP growth in both advanced and developing economies, and the strength of this relationship has not weakened much over time. The cyclical relationship is largely symmetric: emissions fall about as much during recessions as they rise during booms. The transition to a low-carbon economy will thus require continued progress not only in bringing down trend emissions, particularly in developing economies, but also in taming the increase in emissions that occurs during the boom phase of the business cycle
The Aggregate and Distributional Effects of Financial Globalization: Evidence from Macro and Sectoral Data
No full textWe take a fresh look at the aggregate and distributional effects of policies to liberalize international capital flows—financial globalization. Both country‐ and industry‐level results suggest that such policies have led on average to limited output gains while contributing to significant increases in inequality. The country‐level results are based on 228 capital account liberalization episodes spanning 149 advanced and developing economies from 1970 to the present. Difference‐in‐difference estimation using industry‐level data for 23 advanced economies suggests that liberalization episodes reduce the share of labor income, particularly for industries with higher external financial dependence, higher natural propensity to use layoffs to adjust to idiosyncratic shocks, and higher elasticity of substitution between capital and labor
Will COVID-19 Have Long-Lasting Effects on Inequality? Evidence from Past Pandemics
Get PDFThis paper provides evidence on the impact of major epidemics from the past two decades on income distribution. The pandemics in our sample, even though much smaller in scale than COVID-19, have led to increases in the Gini coefficient, raised the income share of higher-income deciles, and lowered the employment-to-population ratio for those with basic education compared to those with higher education. We provide some evidence that the distributional consequences from the current pandemic may be larger than those flowing from the historical pandemics in our sample, and larger than those following typical recessions and financial crises
The distributional effects of government spending shocks in developing economies
No full textWe construct unanticipated government spending shocks for 103 developing countries from 1990 to 2015 and study their effects on income distribution. We find that unanticipated fiscal consolidations lead to a long-lasting increase in income inequality, while fiscal expansions lower inequality. The results are robust to several measures of income distribution and size of the fiscal shocks, to an alternative identification strategy, across expansions and recessions and across country groups (low-income countries vs. emerging markets). An additional contribution of the paper is the computation of the medium-term inequality multiplier. This is on average about 1 in our sample, meaning that a cumulative decrease in government spending of 1% of gross domestic product over 5 years is associated with a cumulative increase in the Gini coefficient over the same period of about 1 percentage point. The multiplier is larger for total government expenditure than for public investment and consumption (with the former having larger effect), likely due to the redistributive role of transfers. Finally, we find that (unanticipated) fiscal consolidations lead to an increase in poverty
Oil prices and inflation dynamics: Evidence from advanced and developing economies
No full textWe study the impact of fluctuations in global oil prices on domestic inflation using an unbalanced panel of 72 advanced and developing economies over the period from 1970 to 2015. We find that a 10% increase in global oil inflation increases, on average, domestic inflation by about 0.4 percentage points on impact, with the effect vanishing after two years and being similar between advanced and developing economies. We also find that the effect is asymmetric, with positive oil price shocks having a larger effect than negative ones. The impact of oil price shocks, however, has declined over time due in large part to a more credible monetary policy and less reliance on energy imports. We further examine the transmission channels of oil price shocks on domestic inflation during the recent decades, by making use of a monthly dataset from 2000 to 2015. The results suggest that the share of transport in the CPI basket and energy subsidies are the most robust factors in explaining cross-country variations in the effects of oil price shocks during the period
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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