Tuesday, September 22, 2026
From a paper by Domenico D’Ausilio & Massimiliano Cerciello:
“This paper investigates the relationship between monetary policy and income inequality across 32 OECD countries over the period 1995 to 2023. We estimate a dynamic panel model using the system Generalised Method of Moments estimator, accounting for persistence in inequality, unobserved country heterogeneity, and potential endogeneity between monetary policy and distributional outcomes. To capture non-linear transmission, the short-term nominal interest rate enters the model in both linear and quadratic form. Income inequality is measured through the Gini index and the income shares held by the top 10%, middle 40%, and bottom 50%, distinguishing between gross and net income to account for fiscal redistribution. The results show that monetary policy tightening and sufficiently large monetary easing are both associated with lower inequality, mainly through a decline in the top income share and an increase in the bottom 50% share. Smaller rate cuts, by contrast, are associated with higher inequality. These patterns suggest that the distributional effects of monetary policy vary with the intensity of the policy stance and the segment of the income distribution considered, while fiscal redistribution attenuates but does not eliminate the underlying non-linear relationship.”
From a paper by Domenico D’Ausilio & Massimiliano Cerciello:
“This paper investigates the relationship between monetary policy and income inequality across 32 OECD countries over the period 1995 to 2023. We estimate a dynamic panel model using the system Generalised Method of Moments estimator, accounting for persistence in inequality, unobserved country heterogeneity, and potential endogeneity between monetary policy and distributional outcomes. To capture non-linear transmission, the short-term nominal interest rate enters the model in both linear and quadratic form.
Posted by at 2:50 PM
Labels: Inclusive Growth
Saturday, September 19, 2026
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, September 18, 2026
On prices, rent, and mortgage:
On sales, permits, starts, and supply:
On other developments:
On prices, rent, and mortgage:
Posted by at 5:00 AM
Labels: Global Housing Watch
Sunday, September 13, 2026
From a paper byNitiphong Songsrirote & Nalinee Himpong:
“Why do economies that undertake broadly similar industrial and institutional reforms follow markedly different growth trajectories? This study reassesses the manufacturing-led growth hypothesis by examining whether the gains from structural transformation vary across growth regimes and are shaped by institutional quality and resource dependence. Using an annual panel of 217 economies for 1981–2024, the analysis combines MICE imputation, two-state Markov-switching AR(1) regime classification, regime-specific two-step System GMM, observed-WGI validity checks, conservative instrument tests, lambda-sensitivity analysis, and an MI20 consistency check. Given the observational macro-panel design and the use of internal instruments, the estimates are interpreted as dynamic conditional associations, rather than causal effects. Manufacturing intensity does not emerge as a robust predictor of growth performance: in the adjusted baseline model, it is negatively associated with growth in the high-growth regime and weakly negative in the low-growth regime, while losing statistical significance in the observed-WGI, conservative-instrument, post-2000, and MI20 checks. Institutional quality is a more consistent growth-supporting correlate, operating primarily through a direct institutional growth channel rather than through manufacturing-based moderation.”
From a paper byNitiphong Songsrirote & Nalinee Himpong:
“Why do economies that undertake broadly similar industrial and institutional reforms follow markedly different growth trajectories? This study reassesses the manufacturing-led growth hypothesis by examining whether the gains from structural transformation vary across growth regimes and are shaped by institutional quality and resource dependence. Using an annual panel of 217 economies for 1981–2024, the analysis combines MICE imputation, two-state Markov-switching AR(1) regime classification,
Posted by at 8:56 PM
Labels: Inclusive Growth
Saturday, September 12, 2026
On cross-country:
On Australia and New Zealand:
On other countries:
On cross-country:
Posted by at 5:00 AM
Labels: Global Housing Watch
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