Monday, November 17, 2025
From a paper by Mulu Gebreeyesus, and Getachew Ahmed Abegaz:
“This paper analyzes Ethiopia’s structural transformation from 2000 to 2022 across four
dimensions: employment, productivity, skill intensity, and tradability. While the country achieved
strong economic growth, averaging 8.9 percent annually, its structural transformation has been
uneven and incomplete. Labor has shifted out of agriculture, but mainly into low-productivity
informal services, while manufacturing’s employment share declined despite policy support.
Aggregate productivity growth, though substantial, was driven largely by within-sector gains, with
minimal contribution from labor reallocation. High-productivity sectors, including manufacturing
and modern services, remain small, capital-intensive, and poorly connected to employment and
exports. Ethiopia’s tradable sector is narrow, dominated by agricultural commodities and air
transport, with limited value-added in manufacturing and ICT. Comparative analysis shows that
while Ethiopia has outpaced many African peers in productivity, it lags in employment absorption
and export diversification, contrasting sharply with East Asia’s inclusive, manufacturing-led
growth. The findings point to a disconnect between output growth and structural inclusion.
Addressing this requires a hybrid strategy that expands labor-intensive manufacturing, upgrades
informal services, aligns skills with market demand, and diversifies tradable activities. Ethiopia’s
experience offers a critical lesson for other developing countries: sustained transformation
depends not only on growth, but on how this growth reallocates labor and resources toward more
productive sectors.”
From a paper by Mulu Gebreeyesus, and Getachew Ahmed Abegaz:
“This paper analyzes Ethiopia’s structural transformation from 2000 to 2022 across four
dimensions: employment, productivity, skill intensity, and tradability. While the country achieved
strong economic growth, averaging 8.9 percent annually, its structural transformation has been
uneven and incomplete. Labor has shifted out of agriculture, but mainly into low-productivity
informal services, while manufacturing’s employment share declined despite policy support.
Posted by at 11:06 AM
Labels: Inclusive Growth
Saturday, November 15, 2025
From a paper by John Beirne, Haroon Mumtaz, Donghyun Park, Gazi Salah Uddin, and Angeliki Theophilopoulou:
“This paper investigates the heterogeneous effects of military spending news shocks on household income and wealth inequality for a large, panel of advanced and emerging economies. Confirming prior literature, we find that military spending news shocks lead to persistent increases in aggregate output and Total Factor Productivity. Our primary contribution is documenting contrasting distributional impacts. We find that expansionary military spending is associated with a mitigation of income inequality, as income gains are disproportionately larger at the left tail of the distribution, primarily driven by a rise in labour income and employment in industry. Conversely, the shock is found to increase wealth inequality, particularly in high-income countries, by raising the wealth share of the top decile (P100) via effects on business asset holdings.”
From a paper by John Beirne, Haroon Mumtaz, Donghyun Park, Gazi Salah Uddin, and Angeliki Theophilopoulou:
“This paper investigates the heterogeneous effects of military spending news shocks on household income and wealth inequality for a large, panel of advanced and emerging economies. Confirming prior literature, we find that military spending news shocks lead to persistent increases in aggregate output and Total Factor Productivity. Our primary contribution is documenting contrasting distributional impacts.
Posted by at 1:59 PM
Labels: Inclusive Growth
On cross-country:
Working papers and conferences:
On China:
On Australia and New Zealand:
On other countries:
On cross-country:
Working papers and conferences:
Posted by at 5:00 AM
Labels: Global Housing Watch
Friday, November 14, 2025
From a paper by Martin T. Bohl, Niklas Humann, and Pierre L. Siklos:
“This survey synthesizes evidence on the bidirectional links between commodity markets and monetary policy. On the commodities-to-policy side, we review how shocks to energy, food, and metals pass through to inflation, inflation expectations, economic activity, and financial stability in state-dependent ways that vary by shock type, exposure, and policy regime. We complement the literature with an analysis of central-bank speeches, showing how officials classify commodity shocks and how these framings map into policy stances. On the policy-to-commodities side, we organize evidence on the transmission of monetary policy to commodity markets via financial, real-economy, and expectations channels, highlighting heterogeneity across policy instruments, commodities, and central banks. We emphasize how financialization tightens cross-asset linkages, raises leverage and margin sensitivity, and amplifies discount-rate and risk-taking mechanisms. Overall, commodities are best treated as policy sensitive state variables, not exogenous disturbances, with implications for policy design, central bank communication, and international monetary spillovers.”
From a paper by Martin T. Bohl, Niklas Humann, and Pierre L. Siklos:
“This survey synthesizes evidence on the bidirectional links between commodity markets and monetary policy. On the commodities-to-policy side, we review how shocks to energy, food, and metals pass through to inflation, inflation expectations, economic activity, and financial stability in state-dependent ways that vary by shock type, exposure, and policy regime. We complement the literature with an analysis of central-bank speeches,
Posted by at 10:01 AM
Labels: Inclusive Growth
From a paper by Tim Köhler:
“This study presents an examination of the predictive power of narrative reports from German economic institutes beyond traditional quantitative forecasts in anticipating economic recessions and directional changes in the business cycle. I transform qualitative narratives into quantitative sentiment scores using four different dictionaries and methods and use fixed-effect logistic regression to analyse their impact. To evaluate model performance, I use the Area under the Receiver Operating Characteristic Curve (AUROC) to compare models with versus without sentiment scores. Additionally, I employ DeLong’s test and bootstrapping to test the significance of AUROC improvements. Furthermore, I explore the potential of combining multiple sentiment scores to enhance forecasting accuracy. The results show that sentiment scores significantly enhance forecasting accuracy. This suggests that narrative information provides valuable insights beyond quantitative forecasts alone.”
From a paper by Tim Köhler:
“This study presents an examination of the predictive power of narrative reports from German economic institutes beyond traditional quantitative forecasts in anticipating economic recessions and directional changes in the business cycle. I transform qualitative narratives into quantitative sentiment scores using four different dictionaries and methods and use fixed-effect logistic regression to analyse their impact. To evaluate model performance, I use the Area under the Receiver Operating Characteristic Curve (AUROC) to compare models with versus without sentiment scores.
Posted by at 9:59 AM
Labels: Forecasting Forum
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