Friday, February 4, 2022
On cross-country:
On the US:
On China
On other countries:
On cross-country:
Posted by 5:00 AM
atLabels: Global Housing Watch
Thursday, February 3, 2022
New NBER Working paper by Nicholas Bloom, Takafumi Kawakubo, Charlotte Meng, Paul Mizen, Rebecca Riley, Tatsuro Senga & John Van Reenen.
“We link a new UK management survey covering 8,000 firms to panel data on productivity in manufacturing and services. There is a large variation in management practices, which are highly correlated with productivity, profitability and size. Uniquely, the survey collects firms’ micro forecasts of their own sales and also macro forecasts of GDP. We find that better managed firms make more accurate micro and macro forecasts, even after controlling for their size, age, industry and many other factors. We also show better managed firms appear aware that their forecasts are more accurate, with lower subjective uncertainty around central values. These stylized facts suggest that one reason for the superior performance of better managed firms is that they knowingly make more accurate forecasts, enabling them to make superior operational and strategic choices.”
Read more here.
New NBER Working paper by Nicholas Bloom, Takafumi Kawakubo, Charlotte Meng, Paul Mizen, Rebecca Riley, Tatsuro Senga & John Van Reenen.
“We link a new UK management survey covering 8,000 firms to panel data on productivity in manufacturing and services. There is a large variation in management practices, which are highly correlated with productivity, profitability and size. Uniquely, the survey collects firms’ micro forecasts of their own sales and also macro forecasts of GDP.
Posted by 2:22 PM
atLabels: Forecasting Forum
New paper by Tianyi Wang, Hong Yan, Zhuo Huang & Fang Liang in Economic Modelling.
“In this paper, we develop a new model, the Realized GARCH-RSRK, to determine the time-varying distribution of financial returns with realized higher moments. Based on Gram-Charlier expansion (GCE) density, we first explicitly link the expansion parameters with moments that are calculated based on intraday returns using our new model. Then, the Cornish-Fisher expansion is applied to forecast Value-at-Risk (VaR) with estimated moments to demonstrate the economic significance of this new model. Compared with the daily-return-based dynamic higher moments models, the inclusion of realized higher moments significantly improves this model’s ability to forecast extreme tails. The empirical results indicate that this new model outperforms the benchmark models when forecasting extreme VaR. In addition, we provide a formula to correct the moments associated with the commonly used squared transformation of GCE. Our empirical evidence highlights the importance of using corrected moments in VaR forecasting.”
Read more by clicking here.
New paper by Tianyi Wang, Hong Yan, Zhuo Huang & Fang Liang in Economic Modelling.
“In this paper, we develop a new model, the Realized GARCH-RSRK, to determine the time-varying distribution of financial returns with realized higher moments. Based on Gram-Charlier expansion (GCE) density, we first explicitly link the expansion parameters with moments that are calculated based on intraday returns using our new model. Then, the Cornish-Fisher expansion is applied to forecast Value-at-Risk (VaR) with estimated moments to demonstrate the economic significance of this new model.
Posted by 1:16 PM
atLabels: Forecasting Forum
From a new paper by Ning Jia, Raven Molloy, Christopher Smith, and Abigail Wozniak:
“Internal migration patterns in the US have drawn growing attention among researchers, policy analysts, and others. This interest has been driven by two trends. First, internal migration in the US has fallen for more than three decades (Molloy et al. 2011; Frey 2009; Cooke 2011, 2013). This decline raises questions about whether it stems from desirable factors, like improved location or job matching, or undesirable factors, like employer monopsony power or other barriers to job mobility (Kaplan and Schulhofer-Wohl 2017; Molloy et al. 2016). Relatedly, highly educated Americans have become increasingly concentrated in larger cities (Diamond 2016). Thus, both the level of migration in the US and the types of destinations chosen by different types of people have changed in important ways over the last several decades.
(…)
Dao et al. (2017) revisit the key ideas from BK and show more directly that the nature of local labor market adjustment to demand shocks has changed in the last few decades—and that the diminished responsiveness of net migration is a key reason for the change in how local labor markets adjust. The authors take a similar approach to BK by estimating adjustment margins at the state level’s response to demand shocks. However, they extend the BK sample with an additional 20 years of data and make other methodological innovations, including using administrative data on migration flows instead of inferring population adjustment from CPS-based measures. Among the many useful contributions of this analysis is a demonstration that after 1990, the net migration response to a state-level demand shock has been smaller on average than in earlier periods, and the response of the unemployment and labor force participation rates is larger. Hence, one way to reconcile the BK findings with the more recent conflicting evidence on local labor market adjustment and regional divergence is that migration was more important as an equilibrating mechanism from the 1970s through the early 1990s (the period in the BK sample) and has recently become less important.”
From a new paper by Ning Jia, Raven Molloy, Christopher Smith, and Abigail Wozniak:
“Internal migration patterns in the US have drawn growing attention among researchers, policy analysts, and others. This interest has been driven by two trends. First, internal migration in the US has fallen for more than three decades (Molloy et al. 2011; Frey 2009; Cooke 2011, 2013). This decline raises questions about whether it stems from desirable factors,
Posted by 7:18 AM
atLabels: Inclusive Growth, Macro Demystified
Wednesday, February 2, 2022
From Econofact:
“The Issue:
The price of housing has a special importance because housing is both a basic necessity and a key component of wealth. Around the start of the pandemic, some experts predicted a protracted collapse in housing prices and the housing market. For example, in April 2020 the staff at Freddie Mac projected home prices would fall by 0.5 percent over the next year. In fact, the opposite happened: The Case Shiller National Home Price Index rose by 15 percent between April 2020 and April 2021 while home sales hit a 15 year high in the calendar year 2021. This stands in stark contrast to the Great Recession when the price index fell 44 percent between May 2007 and May 2009. But one similarity across the Great Recession and the COVID downturn is the wide differences in housing price changes across different parts of the United States. What has happened to housing prices during the COVID pandemic and why? And what are the broader economic implications of this?
The Facts:
House sales and housing construction fell at the outset of the pandemic in March 2020. The total housing inventory on the market, including newly constructed houses and those being resold, was down 10.2 percent between March 2019 and March 2020. Between February 2020 and March 2020 housing starts declined by 22.3 percent, perhaps reflecting builders’ bleak expectations for future demand. Total existing-home sales fell 8.5 percent in March 2020 compared with the prior month and tumbled a further 17.8 percent in April.”
Continue reading here.
From Econofact:
“The Issue:
The price of housing has a special importance because housing is both a basic necessity and a key component of wealth. Around the start of the pandemic, some experts predicted a protracted collapse in housing prices and the housing market. For example, in April 2020 the staff at Freddie Mac projected home prices would fall by 0.5 percent over the next year.
Posted by 2:03 PM
atLabels: Global Housing Watch
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