Sunday, June 7, 2026
From a paper by Martin Boďa, Mariana Považanová, and Michaela Tichá:
“For 38 OECD countries during the period 1991–2022, the paper estimates time-varying trajectories of unemployment-based and employment-based Okun coefficients and studies their synchronicity. Schlicht’s VC method is utilized to estimate Okun coefficients and time-series clustering is applied to identify groups of economies with synchronous business cycle characteristics. The findings defy two prevalent beliefs of Okun’s law since many countries display constant or almost constant trajectories of the (un)employment-output sensitivity, and for many countries Okun’s law need not be stronger in a downturn. Furthermore, countries do not synchronize in their business cycle dynamics as shown in disparate trajectories of Okun coefficients, which argues against a single one-size-fits-all stabilization policy, certainly in less homogeneous economic blocks. Finally, there is strong evidence for labour market flows into and outside the labour force that are associated with informal sector size and translated into lesser sensitivity of official labour market variables across the business cycle.”
From a paper by Martin Boďa, Mariana Považanová, and Michaela Tichá:
“For 38 OECD countries during the period 1991–2022, the paper estimates time-varying trajectories of unemployment-based and employment-based Okun coefficients and studies their synchronicity. Schlicht’s VC method is utilized to estimate Okun coefficients and time-series clustering is applied to identify groups of economies with synchronous business cycle characteristics. The findings defy two prevalent beliefs of Okun’s law since many countries display constant or almost constant trajectories of the (un)employment-output sensitivity,
Posted by at 3:33 PM
Labels: Inclusive Growth
Saturday, June 6, 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, June 5, 2026
From a paper by Nezir Köse, and Emre Ünal:
“This study analyzes the impact of the oil price on income inequality in five major oil-exporting economies: Iran, Kazakhstan, Nigeria, Russia, and Venezuela. Utilizing a panel cointegration approach alongside a country-specific SVAR framework, this research examines both the short- and long-run dynamics of the Gini coefficient to determine whether resource dependence shapes distributional outcomes. The empirical results reveal a significant, albeit modest, long-run relationship where sustained increases in the oil price contribute to reducing income inequality. However, the panel estimation finds no significant short-run effect, suggesting that immediate price shocks do not instantly alter distributional structures. The SVAR analysis uncovers substantial cross-country heterogeneity that aggregate models overlook. Variance decomposition indicates that oil price shocks account for a substantial share of inequality dynamics in Kazakhstan and Nigeria, whereas Russia, Iran, and Venezuela exhibit distinct structural adjustment patterns that implicitly reflect their macroeconomic and institutional architectures. Furthermore, GDP per capita demonstrates a consistent influence across both time horizons, underscoring the vital role of broader economic performance. These findings suggest that while oil revenues can act as a long-run stabilizing buffer, they are insufficient as a standalone solution. Consequently, policymakers should prioritize economic diversification and institutional reforms to foster more resilient, equitable growth trajectories independent of volatile global commodity cycles.”
From a paper by Nezir Köse, and Emre Ünal:
“This study analyzes the impact of the oil price on income inequality in five major oil-exporting economies: Iran, Kazakhstan, Nigeria, Russia, and Venezuela. Utilizing a panel cointegration approach alongside a country-specific SVAR framework, this research examines both the short- and long-run dynamics of the Gini coefficient to determine whether resource dependence shapes distributional outcomes. The empirical results reveal a significant, albeit modest,
Posted by at 10:42 AM
Labels: Energy & Climate Change
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, May 31, 2026
From a paper by Diego Andrés Cardoso López, Jesús Antonio López Cabrera & Tatiana Isabel
Caly Amador:
“Rural employment is pivotal to achieving the SDGs but remains structurally vulnerable—marked by high informality, seasonality, and climate exposure—which may weaken the canonical growth–unemployment link posited by Okun’s Law. In Latin America, where rural economies rely on climate-sensitive activities, temperature and precipitation shocks can disrupt productivity and labor absorption, calling for a reassessment of Okun’s relationship in rural contexts. This article analyzes the relationship between rural unemployment, real income growth, and climate variability in Brazil, Colombia, and Mexico from 2012 to 2024 using a Panel Vector Autoregression (P-VARX) model. Results indicate that, contrary to Okun’s prediction, real income growth does not always lower rural unemployment. Climate shocks matter: in Brazil, higher temperatures decrease unemployment in short-run; in Colombia, precipitation shocks—with lags—increase unemployment; and in Mexico, temperature shocks lift unemployment on impact before a partial correction. Human capital reduces unemployment only in Colombia. Based on this evidence, we outline four policy directions: (i) mainstream climate adaptation into rural labor policy; (ii) expand inclusive employment programs that tackle informality and low productivity while aligning skills with labor demand; (iii) invest in rural education and targeted skilling for green and youth employment; and (iv) promote territorial, multisectoral local development and job creation with strong institutional support.”
From a paper by Diego Andrés Cardoso López, Jesús Antonio López Cabrera & Tatiana Isabel
Caly Amador:
“Rural employment is pivotal to achieving the SDGs but remains structurally vulnerable—marked by high informality, seasonality, and climate exposure—which may weaken the canonical growth–unemployment link posited by Okun’s Law. In Latin America, where rural economies rely on climate-sensitive activities, temperature and precipitation shocks can disrupt productivity and labor absorption, calling for a reassessment of Okun’s relationship in rural contexts.
Posted by at 2:35 PM
Labels: Inclusive Growth
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