Saturday, April 30, 2022
Posted by at 7:49 AM
Labels: Global Housing Watch
Friday, April 29, 2022
On cross-country:
On the US:
On other countries:
On cross-country:
On the US:
Posted by at 5:00 AM
Labels: Global Housing Watch
Thursday, April 28, 2022
From a new work by John Mondragon (Federal Reserve Bank of San Francisco) and Johannes Wieland (UCSD and NBER):
“What explains record U.S. house price growth during the Covid-19 pandemic? We show that the shift to remote work explains over one half of the 23.8 percent national house price increase over this period. Using variation in remote work exposure across U.S. metropolitan areas we estimate that an additional percentage point of remote work causes a 0.90 percent increase in house prices after controlling for negative spillovers from migration. This cross-sectional estimate combined with the aggregate shift to remote work implies that remote work raised aggregate U.S. house prices by 14.6 percent. Using a model of remote work and location choice we argue that this estimate is a lower bound on the aggregate effect. Our results imply that the evolution of remote work is likely to have large effects on the future path of house prices and inflation.”
From a new work by John Mondragon (Federal Reserve Bank of San Francisco) and Johannes Wieland (UCSD and NBER):
“What explains record U.S. house price growth during the Covid-19 pandemic? We show that the shift to remote work explains over one half of the 23.8 percent national house price increase over this period. Using variation in remote work exposure across U.S. metropolitan areas we estimate that an additional percentage point of remote work causes a 0.90 percent increase in house prices after controlling for negative spillovers from migration.
Posted by at 6:41 AM
Labels: Global Housing Watch
Wednesday, April 27, 2022
From a new work at Brookings by Kris Gerardi, Lauren Lambie-Hanson, Paul Willen, Laurie Goodman, and Susan Wachter:
“Evidence on housing policy
Read the full chapter here.

From a new work at Brookings by Kris Gerardi, Lauren Lambie-Hanson, Paul Willen, Laurie Goodman, and Susan Wachter:
“Evidence on housing policy
Posted by at 10:16 AM
Labels: Global Housing Watch
Sunday, April 24, 2022
From VoxEU post by Leandro Prados de la Escosura:
“GDP per capita is a commonly used, but imperfect, proxy for human wellbeing. This column analyses the relationship between life expectancy at birth and per capita income over the past 150 years. It shows that life expectancy and per capita income growth behaved differently in terms of trends and distribution over the period. The relationship was particularly weak during the period 1914 to 1950. Separately, medical improvements and the diffusion of medical knowledge have been crucial drivers of life expectancy improvements across the world.
Human wellbeing is increasingly viewed as a multidimensional phenomenon, of which income is only one facet (Stiglitz et al. 2009, OECD 2011, Proto and Rustichini 2014). However, economists continue to rely on GDP to gauge wellbeing (Oulton 2012). A way to assess GDP as a comprehensive measure of wellbeing is by looking beyond per capita income. In a recent paper, I focus on life expectancy at birth – a synthetic measure of health – and its relationship with per capita income over the past 150 years (Prados de la Escosura 2022).
An important caveat is that, when assessing life expectancy over time and across countries, we need to bear in mind that original values of life expectancy are bounded and that life quality improves with the quantity of years lived (Prados de la Escosura 2021). A solution is provided by Kakwani’s (1993) non-linear transformation in which an increase in life expectancy at birth at a higher level implies a greater achievement than would have been the case had it occurred at a lower level.
Life expectancy (expressed as a Kakwani index) exhibits slightly faster long-run growth than per capita GDP. A closer look, however, reveals an apparent development puzzle: economic growth and life expectancy gains do not match each other (Table 1). During the globalisation backlash between 1914 and 1950, real per capita GDP growth slowed down as world commodity and factor markets disintegrated, while life expectancy experienced major gains across the board. But, from 1950 onwards, life expectancy achieved, on average, smaller gains to GDP per head. Thus, world average life expectancy exhibited a major advance across the board before 1950, earlier than usually presumed and at odds with the view that that global health only improved after WWII, when new drugs from the West reached the rest of the world (Acemoglu and Johnson 2007, Klasing and Milionis 2020).”
Continue reading here.
From VoxEU post by Leandro Prados de la Escosura:
“GDP per capita is a commonly used, but imperfect, proxy for human wellbeing. This column analyses the relationship between life expectancy at birth and per capita income over the past 150 years. It shows that life expectancy and per capita income growth behaved differently in terms of trends and distribution over the period. The relationship was particularly weak during the period 1914 to 1950.
Posted by at 7:58 AM
Labels: Macro Demystified
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