Showing posts with label Global Housing Watch. Show all posts
Friday, February 21, 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 China:
On Australia and New Zealand:
On other countries:
On cross-country:
Working papers and conferences:
Posted by 5:00 AM
atLabels: Global Housing Watch
Wednesday, February 19, 2025
From a paper by Christos A. Makridis and Saurabh Mishra:
“The share of artificial intelligence (AI) jobs in total job postings has increased from 0.20% to nearly 1% between 2010 and 2019, but there is significant heterogeneity across cities in the United States (US). Using new data on AI job postings across 343 US cities, combined with data on subjective well-being and economic activity, we uncover the central role that service-based cities play to translate the benefits of AI job growth to subjective well-being. We find that cities with higher growth in AI job postings witnessed higher economic growth. The relationship between AI job growth and economic growth is driven by cities that had a higher concentration of modern (or professional) services. AI job growth also leads to an increase in the state of well-being. The transmission channel of AI job growth to increased subjective well-being is explained by the positive relationship between AI jobs and economic growth. These results are consistent with models of structural transformation where technological change leads to improvements in well-being through improvements in economic activity. Our results suggest that AI-driven economic growth, while still in the early days, could also raise overall well-being and social welfare, especially when the pre-existing industrial structure had a higher concentration of modern (or professional) services.”
From a paper by Christos A. Makridis and Saurabh Mishra:
“The share of artificial intelligence (AI) jobs in total job postings has increased from 0.20% to nearly 1% between 2010 and 2019, but there is significant heterogeneity across cities in the United States (US). Using new data on AI job postings across 343 US cities, combined with data on subjective well-being and economic activity, we uncover the central role that service-based cities play to translate the benefits of AI job growth to subjective well-being.
Posted by 10:25 AM
atLabels: Global Housing Watch, Inclusive Growth
Friday, February 14, 2025
Working papers and conferences:
On the US—developments on house prices, rent, permits and mortgage:
On the US—other developments:
On China:
On Australia and New Zealand:
On other countries:
Working papers and conferences:
Posted by 5:00 AM
atLabels: Global Housing Watch
Friday, February 7, 2025
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:
Working papers and conferences:
Posted by 5:00 AM
atLabels: Global Housing Watch
Sunday, February 2, 2025
From a paper by Nestor Garza, Ivo Gasic, Clemente Larrain:
“This paper aims to build a set of long-term, geographically controlled land value indices for Santiago de Chile, with which to test land rent theory predictions regarding macroeconomic impacts. This paper uses a geographic cluster approach to the Laspeyres estimator, weighted by the stock of available land plots and their market offers per zone, to create two quarterly land value indices for Gran Santiago during the period 1983Q4–2016Q2. Subsequently, this paper implements dynamic time series methods (Vector Error Correction) as a baseline to determine the effect of economic performance and interest rate on urban land values. The two land value indices are correctly predicted by economic and interest rate shocks, as theoretically expected. In addition, this paper found that land values grew faster-than-predicted during the period of the so-called “Chilean Miracle” (1992–1998), a situation associated in the literature with worsened housing affordability and socio-spatial inequality.”
From a paper by Nestor Garza, Ivo Gasic, Clemente Larrain:
“This paper aims to build a set of long-term, geographically controlled land value indices for Santiago de Chile, with which to test land rent theory predictions regarding macroeconomic impacts. This paper uses a geographic cluster approach to the Laspeyres estimator, weighted by the stock of available land plots and their market offers per zone, to create two quarterly land value indices for Gran Santiago during the period 1983Q4–2016Q2.
Posted by 2:25 PM
atLabels: Global Housing Watch, Inclusive Growth
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