Friday, January 24, 2025
From a paper by Elena Bárcena-Martín, Natalia Martín-Fuentes, and Salvador Pérez-Moreno:
“This work provides evidence of the heterogeneous effects of the ECB’s monetary policy across income classes. In particular, this investigation focuses on the labor market channel. Based on EU-SILC data, we estimate country-specific structural vector autoregressions (SVAR) models to analyze the impact of the expansionary monetary policy shocks over the 2006–2019 period. The results suggest that monetary easing helped decrease unemployment rates for lower- and middle-income classes, to a larger extent for the former. This differential impact is accounted for a stronger improvement in job finding rates for classes located at the bottom of the income distribution. Conversely, the employment status of the upper class remained largely unaffected. The analysis identifies a positive impact of expansionary monetary policy on real labor income, which seems to have mostly benefitted the upper class. Overall, our results suggest that expansionary monetary policy helped decrease labor income inequality by exerting a stronger positive impact on lower-income households.”
From a paper by Elena Bárcena-Martín, Natalia Martín-Fuentes, and Salvador Pérez-Moreno:
“This work provides evidence of the heterogeneous effects of the ECB’s monetary policy across income classes. In particular, this investigation focuses on the labor market channel. Based on EU-SILC data, we estimate country-specific structural vector autoregressions (SVAR) models to analyze the impact of the expansionary monetary policy shocks over the 2006–2019 period. The results suggest that monetary easing helped decrease unemployment rates for lower- and middle-income classes,
Posted by 12:39 PM
atLabels: Inclusive Growth
From a paper by Christopher Erceg, Marcin Kolasa, Jesper Linde, and Andrea Pescatori:
“Many countries have used energy subsidies to cushion the effects of high energy prices on
households and firms. After documenting the transmission of oil supply shocks empirically in the United States and the Euro Area, we use a New Keynesian modeling framework to study the conditions under which these policies can curb inflation. We first consider a closed economy model to show that a consumer subsidy may be counterproductive, especially as an inflation-fighting tool, when applied globally or in a segmented market, at least under empirically plausible conditions about wage-setting. We find more scope for energy subsidies to reduce core inflation and stimulate demand if introduced by a small group of countries which collectively do not have much influence on global energy prices. However, the conditions under which consumer energy subsidies reduce inflation are still quite restrictive, and this type of policy may well be counterproductive if the resulting increase in external debt is high enough to trigger sizeable exchange rate depreciation. Such effects are more likely in emerging markets with shallow foreign exchange markets. If the primary goal of using fiscal measures in response to spikes in energy prices is to shield vulnerable households, then targeted transfers are much more efficient as they achieve their goals at lower fiscal cost and transmit less to core inflation.”
From a paper by Christopher Erceg, Marcin Kolasa, Jesper Linde, and Andrea Pescatori:
“Many countries have used energy subsidies to cushion the effects of high energy prices on
households and firms. After documenting the transmission of oil supply shocks empirically in the United States and the Euro Area, we use a New Keynesian modeling framework to study the conditions under which these policies can curb inflation. We first consider a closed economy model to show that a consumer subsidy may be counterproductive,
Posted by 12:36 PM
atLabels: Energy & Climate Change
From a paper by Silas Xuereb, Matthew Fisher-Post, François Delorme, and Camille Lajoie:
“In this article, we estimate the distribution of all net national income in Canada from 1982 to 2021. We apply distributional national accounts (DINA) methodology to tabulated data from the Longitudinal Administrative Databank, combined with national accounts and survey data. Our descriptive results contribute to a more thorough understanding of income inequality in Canada over the past 40 years. We find that top income shares published by Statistics Canada tend to be underestimated relative to top income shares calculated using DINA, because DINA account for people who do not file taxes and for undistributed capital income that is retained in corporations. In line with previous research, income inequality in Canada increased significantly from 1982 until the mid-2000s. Although labour income drove initial growth in top shares, toward the end of this period capital income contributed most to growth in top shares. Top shares based on tax data were especially underestimated during this period because retained earnings were at their highest. Since the mid-2000s, top shares have decreased slightly and the income share of the bottom 50 percent has increased, although they have not returned to the levels observed in the early 1980s. During the pandemic, post-tax income inequality fell because of the large temporary transfer programs that were introduced. However, pre-tax income inequality increased in 2020, and even more so in 2021 when record levels of corporate profits were reached.”
From a paper by Silas Xuereb, Matthew Fisher-Post, François Delorme, and Camille Lajoie:
“In this article, we estimate the distribution of all net national income in Canada from 1982 to 2021. We apply distributional national accounts (DINA) methodology to tabulated data from the Longitudinal Administrative Databank, combined with national accounts and survey data. Our descriptive results contribute to a more thorough understanding of income inequality in Canada over the past 40 years.
Posted by 12:33 PM
atLabels: Inclusive Growth
From a paper by Muhammad Waqas Khan, Mehmet Akif Destek, and Zeeshan Khan:
“In the recent times, the role of artificial intelligence in social, economic, and environmental decision-making is important. Artificial intelligence is considered a source of enabling countries to achieve sustainable development goals. The economic consequences of the introduction of artificial intelligence are mostly overlooked and yet to be explore empirically. This work aims to empirically determine the impact of artificial intelligence on income inequality in the pioneers of the field, i.e., the G7 economies. Also, it aims to explore the role of fiscal intervention in mediating the impact of artificial intelligence on income inequality in these economies. The panel data techniques such as the test for cross sectional dependence and the test for slope heterogeneity are used. Furthermore, CIPS is used to determine the level of integration of the variables in the model. Westerlund test for cointegration and granger causality test by Dumitrescu and Hurlin (2012) are also used in the study. Furthermore, CSARDL technique is used to find out the impact of artificial intelligence along with control variables on income inequality. The results show that artificial intelligence reduces income inequality in the G7 both in the short and the long run. The absolute value of the long-term coefficients is larger than those in the short run. Based on the empirical findings of the work, it is recommended that appropriate fiscal interventions are needed in the short run to sustain the income inequality reduction impact of artificial intelligence. However, in the long run such interventions can be counter-productive but the requisite skills to optimally utilize artificial intelligence should be imparted to individuals.”
From a paper by Muhammad Waqas Khan, Mehmet Akif Destek, and Zeeshan Khan:
“In the recent times, the role of artificial intelligence in social, economic, and environmental decision-making is important. Artificial intelligence is considered a source of enabling countries to achieve sustainable development goals. The economic consequences of the introduction of artificial intelligence are mostly overlooked and yet to be explore empirically. This work aims to empirically determine the impact of artificial intelligence on income inequality in the pioneers of the field,
Posted by 12:31 PM
atLabels: Inclusive Growth
Friday, January 17, 2025
On cross-country:
Working papers and conferences:
On the US—developments on house prices, rent, permits and mortgage:
On the US—other developments:
On Australia and New Zealand:
On other countries:
On cross-country:
Working papers and conferences:
On the US—developments on house prices,
Posted by 5:00 AM
atLabels: Global Housing Watch
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