Tuesday, January 15, 2019
Posted by 10:36 AM
atLabels: Macro Demystified
Friday, January 11, 2019
On the US:
On other countries:
Photo by Aliis Sinisalu
On the US:
Posted by 5:00 AM
atLabels: Global Housing Watch
Wednesday, January 9, 2019
From a FEDS Note by Hie Joo Ahn and James Hamilton:
“The U.S. unemployment rate averaged 8.4% during the first five years of recovery from the Great Recession of 2007-2009, the weakest recovery on record (see Figure 1). But as the expansion continued, unemployment continued to decline and by 2018 reached the lowest levels in almost half a century. Why did unemployment remain so high for so long, and what factors contributed to the recent lows?”
“One of the most striking features of the length of time people stay unemployed is the heterogeneity across the experience of different people. Most people who become unemployed find a new job relatively quickly. Even during the Great Recession, of people who were newly unemployed in month t, on average only 64% were still unemployed in month t + 1. By contrast, if someone has been unemployed for 4-6 months as of month t, on average since 1976, there was an 81% probability that they would still be unemployed in month t + 1. The lowest the latter probability ever got in any month from 1976 to 2018 was 71%. In other words, the newly unemployed during the Great Recession had better success finding jobs than did the long-term unemployed during the strongest economic boom.”
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From a FEDS Note by Hie Joo Ahn and James Hamilton:
“The U.S. unemployment rate averaged 8.4% during the first five years of recovery from the Great Recession of 2007-2009, the weakest recovery on record (see Figure 1). But as the expansion continued, unemployment continued to decline and by 2018 reached the lowest levels in almost half a century. Why did unemployment remain so high for so long,
Posted by 10:38 PM
atLabels: Inclusive Growth
From a new IMF working paper:
“This paper examines the impact of highway expansion on aggregate productivity growth and sectoral reallocation between cities in China. To do so, I construct a unique dataset of bilateral transportation costs between Chinese cities, digitized highway network maps, and firm-level census. I first derive and estimate a market access measure that summarizes all direct and indirect impact of trade costs on city productivity. I then construct an instrumental variable to examine the causal impact of highways on economic outcomes and the underlying channels. The results suggest that highways promoted aggregate productivity growth by facilitating firm entry, exit and reallocation. I also find evidence that the national highway system led to a sectoral reallocation between cities in China.”
“The findings presented in this paper have important policy implications. Facing the threat of secular stagnation, policymakers are searching for tools to boost aggregate demand in the short run and promote economic growth in the long run. After the global recession, there has been a growing interest among policymakers worldwide in using infrastructure investments both as a short-term fiscal policy instrument and as a long-term growth generator. For example, the World Bank has consistently dedicated itself to investing in infrastructure in low-income countries to fight poverty. The International Monetary Fund is also actively advocating for more infrastructure investments in Latin America and Africa to meet the infrastructure needs and boost economic growth in these regions. The two recently-founded development banks–the Asian Infrastructure Investment Bank and the New Development Bank, were established under the leadership of China to address the increasing infrastructure needs in Asia. The US President Donald Trump envisions a trillion-dollar infrastructure plan. The increasing use of infrastructure projects by policymakers begs the question of whether the huge amount of tax dollars spent on infrastructure is well justified by their potential benefits.”
From a new IMF working paper:
“This paper examines the impact of highway expansion on aggregate productivity growth and sectoral reallocation between cities in China. To do so, I construct a unique dataset of bilateral transportation costs between Chinese cities, digitized highway network maps, and firm-level census. I first derive and estimate a market access measure that summarizes all direct and indirect impact of trade costs on city productivity. I then construct an instrumental variable to examine the causal impact of highways on economic outcomes and the underlying channels.
Posted by 10:28 PM
atLabels: Inclusive Growth
From a new paper on the Okun’s Law in Spain:
“This article provides new empirical evidence on the relationship between the unemployment rate and the output growth in Spain at the regional level. The “gap version” with the output growth on the left-hand side of the equation is our benchmark model. Our empirical results show that all coefficients are significant and show the expected negative sign. Significant regional differences in the Okun’s relationship, both for the short run and the long run, are found. These results are robust to two different specifications for the gaps: the HP filter and the QT procedure. In the final part of the article, it is also found that the OLS and the GMM estimates for panel data exhibit a similar pattern and that there is a clear asymmetry in the Okun’s relationship in booming and recession phases of the Spanish business cycle.”
From a new paper on the Okun’s Law in Spain:
“This article provides new empirical evidence on the relationship between the unemployment rate and the output growth in Spain at the regional level. The “gap version” with the output growth on the left-hand side of the equation is our benchmark model. Our empirical results show that all coefficients are significant and show the expected negative sign. Significant regional differences in the Okun’s relationship,
Posted by 10:15 PM
atLabels: Inclusive Growth
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