Chad
Syverson, NBER: Challenges to Mismeasurement Explanations for the U.S.
Productivity Slowdown.
The U.S. has been experiencing a slowdown in measured labor productivity growth
since 2004. A number of commentators and researchers have suggested that this
slowdown is at least in part illusory, because real output data have failed to
capture the new and better products of the past decade. I conduct four
disparate analyses, each of which offers empirical challenges to this
“mismeasurement hypothesis.” The complementary facets of evidence suggest that
the reasonable prima facie case for the mismeasurement hypothesis faces real
hurdles when confronted with the data.
Andrea
F. Presbitero, Min Zhu, IMF: The Change in Demand for Debt: The New Landscape
in Low-income Countries.
Many low-income developing countries have joined the group of Eurobond issuers
across the globe— in sub-Saharan Africa (for example, Senegal, Zambia, and
Ghana), Asia (for example, Mongolia) and elsewhere, raising over US$21 billion
cumulatively over the past decade. Tapping these markets provides a new source
of funds, but also exposes borrowers to shifts in investor sentiment and rising
global interest rates. We examined the experience of low-income developing
countries with capital inflows in the last decade and a half in a recent
report. We found that capital inflows have increased sharply since 2004, in two
distinct waves: a first surge from 2.1 percent of GDP in 2004 to 6.9 percent in
2007, and, after a temporary dip during the global financial crisis, a strong
rebound, reaching 6.3 percent of GDP in 2012.
Richard
Baldwin, Francesco Giavazzi, VOX: How to fix Europe’s monetary union: Views of
leading economists.
Important progress has been made in repairing the design faults that the EZ
Crisis revealed. This new VoxEU eBook argues that fixing the Eurozone is a job
half done. The eBook, which presents 18 chapters by leading economists that
hail from a broad range of nations and schools of thought, is surely the most
comprehensive collection of solutions that has ever been assembled.
Dani
Rodrik, Project Syndicate: The Return of Public Investment. The idea that public investment in infrastructure –
roads, dams, power plants, and so forth – is an indispensable driver of
economic growth has always held powerful sway over the minds of policymakers in
poor countries. But this kind of public-investment-driven growth model – often
derisively called “capital fundamentalism” – has long been out of fashion among
development experts. It may be time to reconsider that change. If one looks at
the countries that, despite strengthening global economic headwinds, are still
growing very rapidly, one will find public investment is doing a lot of the
work.
David
H. Autor, et al, NBER: School Quality and the Gender Gap in Educational
Achievement. Recent
evidence indicates that boys and girls are differently affected by the quantity
and quality of family inputs received in childhood. We assess whether this is also true for
schooling inputs. Using matched Florida birth and school administrative
records, we estimate the causal effect of school quality on the gender gap in
educational outcomes by contrasting opposite-sex siblings who attend the same
sets of schools--thereby purging family heterogeneity--and leveraging
within-family variation in school quality arising from family moves. Investigating middle school test scores, absences
and suspensions, we find that boys benefit more than girls from cumulative
exposure to higher quality schools.
Larry
Hardesty, MIT News: Automatic contingency planning. Planning algorithms are widely used in logistics and
control. They can help schedule flights and bus routes, guide autonomous
robots, and determine control policies for the power grid, among other things. In
recent years, planning algorithms have begun to factor in uncertainty —
variations in travel time, erratic communication between autonomous robots,
imperfect sensor data, and the like. That causes the scale of the planning
problem to grow exponentially, but researchers have found clever ways to solve
it efficiently. Now, researchers at MIT and the Australian National University
(ANU) have made the problem even more complex, by developing a planning
algorithm that also generates contingency plans, should the initial plan prove
too risky. It also identifies the conditions — say, sensor readings or delays
incurred — that should trigger a switch to a particular contingency plan.
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