<?xml version="1.0" encoding="ISO-8859-1"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
<channel>
<atom:link href="http://www.nber.org/rss/newefg.xml" rel="self" type="application/rss+xml" />
<title>National Bureau of Economic Research Working Papers</title>
<description>The Latest NBER Working Papers</description>  
<link>http://www.nber.org/new.html</link>
<item>
<title>Post-recession US Employment through the Lens of a Non-linear Okun's law -- by Menzie D. Chinn, Laurent Ferrara, Valerie Mignon</title>
<description>This paper aims at investigating the relationship between employment and GDP in the United States. We disentangle trend and cyclical employment components by estimating a non-linear Okun's law based on a smooth transition error-correction model that simultaneously accounts for long-term relationships between growth and employment and short-run instability over the business cycle. Our findings based on out-of-sample conditional forecasts show that, since the exit of the 2008-09 recession, US employment is on average around 1% below the level implied by the long run output-employment relationship, meaning that about 1.2 million of the trend employment loss cannot be attributed to the identified cyclical factors.</description>
<link>http://papers.nber.org/papers/w19047#fromrss</link>
<guid>http://papers.nber.org/papers/w19047#fromrss</guid>
</item>
<item>
<title>Technology Diffusion: Measurement, Causes and Consequences -- by Diego A. Comin, Marti Mestieri</title>
<description>This chapter discusses different approaches pursued to explore three broad questions related to technology diffusion: what general patterns characterize the diffusion of technologies, and how have they changed over time; what are the key drivers of technology, and what are the macroeconomic consequences of technology. We prioritize in our discussion unified approaches to these three questions that are based on direct measures of technology.</description>
<link>http://papers.nber.org/papers/w19052#fromrss</link>
<guid>http://papers.nber.org/papers/w19052#fromrss</guid>
</item>
<item>
<title>Adjusting Measures of Economic Output for Health: Is the Business Cycle Countercyclical? -- by Mark L. Egan, Casey B. Mulligan, Tomas J. Philipson</title>
<description>Many national accounts of economic output and prosperity, such as gross domestic product (GDP) or net domestic product (NDP), offer an incomplete picture by ignoring, for example, the value of leisure, home production, and the value of health. Discussed shortcomings have focused on how unobserved dimensions affect GDP levels but not their cyclicality, which affects the measurement of the business cycle.  This paper proposes new measures of the business cycle that incorporate monetized changes in health of the population.  In particular, we incorporate in GDP the dollar value of mortality, treating it as depreciation in human capital analogous to how NDP measures treat depreciation of physical capital. We examine the macroeconomic fluctuations in the United States and globally during the past 50 years, taking into account how depreciation in health affects the cycle.  Because mortality tends to be pro-cyclical, fluctuations in standard GDP measures are offset by monetized changes in health; booms are not as valuable as traditionally measured because of increased mortality, and recessions are not as bad because of reduced mortality.  Consequently, we find that U.S. business cycle fluctuations appear milder than commonly measured and may even be reversed for the majority of "recessions" after accounting for the cyclicality of health.  We find that adjusting for mortality reduces the measured U.S. business cycle volatility during the past 50 years by about 37% in the United States and 46% internationally. We discuss future research directions for more fully incorporating the cyclicality of unobserved health capital into standard output measurement.</description>
<link>http://papers.nber.org/papers/w19058#fromrss</link>
<guid>http://papers.nber.org/papers/w19058#fromrss</guid>
</item>
</channel>
</rss>
