Saturday, May 16, 2026
From a paper by Hippolyte Balima, Alexandru Minea, and Cezara Vinturis:
“We investigate the effect of inflation targeting on income inequality across a comprehensive panel of 152 countries spanning over four decades. Using the entropy balancing methodology to address endogeneity issues, we find that inflation targeting significantly increases income inequality. This effect, which is robust across various alternative methods and specifications, is driven by an increase (decrease) in the income share of relatively rich (poor) households. In addition, the impact of inflation targeting is not uniform but varies conditional on redistribution policies, inflation targeting features, the level of economic development, and country-specific characteristics. Our findings contribute to the ongoing discussion on the broad socioeconomic implications of the monetary policy, including measures to mitigate the potential side effects on income distribution.”
From a paper by Hippolyte Balima, Alexandru Minea, and Cezara Vinturis:
“We investigate the effect of inflation targeting on income inequality across a comprehensive panel of 152 countries spanning over four decades. Using the entropy balancing methodology to address endogeneity issues, we find that inflation targeting significantly increases income inequality. This effect, which is robust across various alternative methods and specifications, is driven by an increase (decrease) in the income share of relatively rich (poor) households.
Posted by at 8:09 AM
Labels: Inclusive Growth
On cross-country:
Working papers and conferences:
On Australia and New Zealand:
On other countries:
On cross-country:
Working papers and conferences:
On Australia and New Zealand:
Posted by at 5:00 AM
Labels: Global Housing Watch
Friday, May 15, 2026
On prices, rent, and mortgage:
On sales, permits, starts, and supply:
On other developments:
On prices, rent, and mortgage:
On sales, permits, starts, and supply:
Posted by at 5:00 AM
Labels: Global Housing Watch
Thursday, May 14, 2026
From a paper by Karan Bhasin, and Prakash Loungani:
“This paper introduces a hierarchical Large Language Model (LLM) framework for the automated identification of narrative fiscal shocks. We develop a multi-stage architecture to extract austerity episodes from IMF Article IV reports (2004–2020) for 17 OECD countries. Relative to manual coding, our approach improves replicability and auditability by generating a documented sequence of classification steps. Benchmarking against Adler et al. (2024), we find that the LLM-based classification aligns closely with the narrative benchmark, while differing on a small subset of episodes. Local projection estimates indicate that LLM-identified shocks are associated with smaller estimated multipliers than the narrative benchmark, with the difference linked in large part to differences in shock persistence and endogeneity.”
From a paper by Karan Bhasin, and Prakash Loungani:
“This paper introduces a hierarchical Large Language Model (LLM) framework for the automated identification of narrative fiscal shocks. We develop a multi-stage architecture to extract austerity episodes from IMF Article IV reports (2004–2020) for 17 OECD countries. Relative to manual coding, our approach improves replicability and auditability by generating a documented sequence of classification steps. Benchmarking against Adler et al. (2024), we find that the LLM-based classification aligns closely with the narrative benchmark,
Posted by at 10:38 AM
Labels: Inclusive Growth
Wednesday, May 13, 2026
From a paper by Chandan Sethi, and Bibhuti Ranjan Mishra:
“This paper examines whether inflation targeting (IT) policies improve the macroeconomic performance of 28 Asian economies from 1998 to 2023. Specifically, it assesses the impact of IT on inflation, GDP growth, exchange rates and unemployment. The study employs two econometric methods: propensity score matching (PSM) and panel-corrected standard errors (PCSE). The findings suggest that adopting an IT regime can significantly reduce inflation and exchange rate volatility. However, IT has no significant effect on GDP growth. In contrast, results reveal a positive, statistically significant impact on unemployment, suggesting potential short-run labour-market trade-offs associated with disinflationary policies. These findings contribute to the ongoing debate on the effectiveness of IT by highlighting that its impact on real economic variables may vary across estimation approaches and underlying assumptions.”
From a paper by Chandan Sethi, and Bibhuti Ranjan Mishra:
“This paper examines whether inflation targeting (IT) policies improve the macroeconomic performance of 28 Asian economies from 1998 to 2023. Specifically, it assesses the impact of IT on inflation, GDP growth, exchange rates and unemployment. The study employs two econometric methods: propensity score matching (PSM) and panel-corrected standard errors (PCSE). The findings suggest that adopting an IT regime can significantly reduce inflation and exchange rate volatility.
Posted by at 6:19 AM
Labels: Forecasting Forum
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