Monday, May 11, 2026
From a paper by Jan Čapek | Jakub Chalmovianský | Vlastimil Reichel:
“This study systematically evaluates forecasting performance of 11 Dynamic Stochastic General Equilibrium (DSGE) and 2 Bayesian Vector Autoregression (BVAR) models during recessions and expansions in the US and the euro area. Results show that no single model dominates: parsimonious models perform well in stable periods and at short horizons, while richer DSGE specifications with financial frictions, flexible inflation targeting, or labor market dynamics improve forecasts during recessions. BVARs excel in interest rate forecasting, especially in expansions. Crisis‐specific extensions, such as COVID‐related shocks, yield temporary gains. Forecast accuracy depends on the economic state, variable, horizon, and evaluation metric, underscoring the need for a diversified, context‐dependent modeling toolkit.”
From a paper by Jan Čapek | Jakub Chalmovianský | Vlastimil Reichel:
“This study systematically evaluates forecasting performance of 11 Dynamic Stochastic General Equilibrium (DSGE) and 2 Bayesian Vector Autoregression (BVAR) models during recessions and expansions in the US and the euro area. Results show that no single model dominates: parsimonious models perform well in stable periods and at short horizons, while richer DSGE specifications with financial frictions, flexible inflation targeting,
Posted by at 10:48 AM
Labels: Forecasting Forum
Sunday, May 10, 2026
From a paper by Georgios Chortareas, Anastasios Evgenidis, and Apostolos Fasianos:
“This paper explores whether the transmission from monetary policy to income inequality may depend on the adoption of Inflation Targeting (IT) regimes. Using an interacted panel VAR, we find that expansionary monetary policy shocks reduce income inequality in countries that have switched to IT regimes. In contrast, in non-IT regimes the same shock is associated with a short-lived increase in income inequality. A decomposition of transmission channels indicates that the employment channel is the primary equalizing mechanism under IT, as expansionary shocks generate stronger improvements in labor market conditions. The financial channel operates in the opposite direction but is quantitatively smaller. We further show that the inequality-reducing effects of monetary policy are not replicated by other institutional features often associated with credibility, such as central bank transparency or central bank independence. Our findings are robust to alternative identification schemes, broader classifications of IT regimes, controls for self-selection into IT adoption, and to conditioning on different inflation environments.”
From a paper by Georgios Chortareas, Anastasios Evgenidis, and Apostolos Fasianos:
“This paper explores whether the transmission from monetary policy to income inequality may depend on the adoption of Inflation Targeting (IT) regimes. Using an interacted panel VAR, we find that expansionary monetary policy shocks reduce income inequality in countries that have switched to IT regimes. In contrast, in non-IT regimes the same shock is associated with a short-lived increase in income inequality.
Posted by at 7:43 AM
Labels: Inclusive Growth
Saturday, May 9, 2026
On cross-country:
Working papers and conferences:
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, May 8, 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
Monday, May 4, 2026
From a paper by M. Shabri Abd. Majid, F. Faisal, Heru Fahlevi, Maulidar Agustina, A. Azhari, Y. Yahya & Z. Zulkifli:
“Micro, small, and medium enterprises (MSMEs) are widely recognized as key drivers of entrepreneurship and inclusive growth; however, their effectiveness in reducing poverty depends more on the quality of productivity improvements than on the expansion of firm numbers alone. This study investigates how entrepreneurial productivity, measured by total factor productivity (TFP) and its components—efficiency change and technological progress—affects poverty both directly and through the sequential roles of human development (HDI) and economic growth. Using 2,070 panel observations from six sectors across 23 districts in Aceh, Indonesia (2010–2024), productivity is estimated through the Malmquist Index within a Data Envelopment Analysis (DEA) framework. Direct, single, and sequential mediation effects are examined using the Baron and Kenny approach and estimated via Estimated Generalized Least Squares (EGLS) with Seemingly Unrelated Regression (SUR) adjustments. The findings reveal heterogeneous effects across productivity components, highlighting asymmetric transmission mechanisms in which different dimensions of productivity influence poverty through distinct pathways. Increases in TFP and technological progress are associated with reductions in poverty (β ≈ 0.135–0.311), whereas efficiency change is linked to higher poverty levels (β ≈ − 0.117 to − 0.226), reflecting short-term adjustment costs from structural changes. Economic growth emerges as the primary transmission channel, while HDI does not exert a direct effect but significantly strengthens the impact of productivity when it precedes growth in the causal sequence. The strongest poverty reduction occurs when productivity first improves human development and subsequently stimulates economic expansion. Technological progress exhibits mixed effects depending on the mediation pathway, indicating uneven distributional outcomes. Overall, the results suggest that productivity gains do not automatically lead to inclusive welfare improvements. Policy efforts should therefore prioritize innovation-driven and stable productivity growth while mitigating the adverse social effects of abrupt efficiency adjustments. This study contributes by demonstrating that different dimensions of entrepreneurial productivity generate distinct development outcomes and by proposing a sequential mediation framework that explains why some productivity gains alleviate poverty while others intensify it.”
From a paper by M. Shabri Abd. Majid, F. Faisal, Heru Fahlevi, Maulidar Agustina, A. Azhari, Y. Yahya & Z. Zulkifli:
“Micro, small, and medium enterprises (MSMEs) are widely recognized as key drivers of entrepreneurship and inclusive growth; however, their effectiveness in reducing poverty depends more on the quality of productivity improvements than on the expansion of firm numbers alone. This study investigates how entrepreneurial productivity, measured by total factor productivity (TFP) and its components—efficiency change and technological progress—affects poverty both directly and through the sequential roles of human development (HDI) and economic growth.
Posted by at 3:48 PM
Labels: Inclusive Growth
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