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Institution

National Bureau of Economic Research

NonprofitCambridge, Massachusetts, United States
About: National Bureau of Economic Research is a nonprofit organization based out in Cambridge, Massachusetts, United States. It is known for research contribution in the topics: Monetary policy & Population. The organization has 2626 authors who have published 34177 publications receiving 2818124 citations. The organization is also known as: NBER & The National Bureau of Economic Research.


Papers
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ReportDOI
TL;DR: In this article, the authors summarized current thinking on technological change in the broader economics literature, surveys the growing economic literature on the interaction between technology and the environment, and explores the normative implications of these analyses.
Abstract: Environmental policy discussions increasingly focus on issues related to technological change This is partly because the environmental consequences of social activity are frequently affected by the rate and direction of technological change, and partly because environmental policy interventions can themselves create constraints and incentives that have significant effects on the path of technological progress This chapter summarizes current thinking on technological change in the broader economics literature, surveys the growing economic literature on the interaction between technology and the environment, and explores the normative implications of these analyses We begin with a brief overview of the economics of technological change, and then examine theory and empirical evidence on invention, innovation, and diffusion and the related literature on the effects of environmental policy on the creation of new, environmentally friendly technology We conclude with suggestions for further research on technological change and the environment

641 citations

Posted Content
TL;DR: The authors present an al ternative framework for analyzing uncertainty in the economic evaluation of health interventions (the "net health benefits" approach) that is more broadly applicable and that avoids some problems of prior methods.
Abstract: In recent years, considerable attention has been devoted to the development of statistical methods for the analysis of uncertainty in cost-effectiveness analysis, with a focus on situations in which the analyst has patient-level data on the costs and health effects of alternative interventions. To date, discussions have focused almost exclusively on addressing the practical challenges involved in estimating confidence intervals for CE ratios. However, the general approach of using confidence intervals to convey information about uncertainty around CE ratio estimates suffers from theoretical limitations that render it inappropriate in many situations. We present an alternative framework for analyzing uncertainty in the economic evaluation of health interventions (termed the net health benefits' approach) that is more broadly applicable and that avoids some problems of prior methods. This approach offers several practical and theoretical advantages over the analysis of CE ratios, is straightforward to apply, and highlights some important principles in the theoretical underpinnings of CEA.

641 citations

Journal ArticleDOI
TL;DR: The authors found that even though house price risk endogenously increases with rent risk, the latter empirically dominates for most households so housing market risk actually increases homeownership rates and house prices.
Abstract: Many people assume that the most significant risk in the housing market is that homeowners are exposed to fluctuations in house values. However, homeownership also provides a hedge against fluctuations in future rent payments. This paper finds that, even though house price risk endogenously increases with rent risk, the latter empirically dominates for most households so housing market risk actually increases homeownership rates and house prices. Further, the net effect of rent risk on the demand for homeownership increases with a household's expected length of stay in its home, as the cumulative rent volatility rises and the discounted house price risk falls. Using CPS data, the difference in the probability of homeownership between households with long and short expected lengths of stay is 2.9 to 5.4 percentage points greater in high rent variance places than low rent variance places. The sensitivity to rent risk is greatest for households that devote a larger share of their budgets to housing, and thus face a bigger gamble. Similarly, the elderly who live in high rent variance places are more likely to own their own homes, and their probability of homeownership falls faster with age (as their horizon shortens). This aversion to rent risk might help explain why older households do not consume much of their housing wealth. Finally, we find that house prices capitalize not only expected future rents, but also the associated rent risk premia. At the MSA level, a one standard deviation increase in rent variance increases the house price-to-rent ratio by 2 to 4 percent.

641 citations

Journal ArticleDOI
TL;DR: In this article, the authors argue that investors with limited attention will overvalue the firm, because naive earnings-based valuation disregards the firm's relative lack of success in generating cash flows in excess of investment needs.
Abstract: If investors have limited attention, then accounting outcomes that saliently highlight positive aspects of a firm's performance will promote high market valuations. When cumulative accounting value added (net operating income) over time outstrips cumulative cash value added (free cash flow), it becomes hard for the firm to sustain further earnings growth. When the balance sheet is 'bloated' in this fashion, we argue that investors with limited attention will overvalue the firm, because naive earnings-based valuation disregards the firm's relative lack of success in generating cash flows in excess of investment needs. The level of net operating assets, the difference between cumulative earnings and cumulative free cash flow over time, is therefore a measure of the extent to which operating/reporting outcomes provoke excessive investor optimism. Therefore, if investor attention is limited, net operating assets will negatively predict subsequent stock returns. In our 1964-2002 sample, net operating assets scaled by beginning total assets is a strong negative predictor of long-run stock returns. Predictability is robust with respect to an extensive set of controls and testing methods.

639 citations

Journal ArticleDOI
TL;DR: The authors examined how cash flows, investment expenditures and stock price histories affect corporate debt ratios and found that these variables have a substantial influence on changes in capital structure, and that over time, financing choices tend to move firms towards target debt ratios that are consistent with the tradeoff theories of capital structure.
Abstract: This paper examines how cash flows, investment expenditures and stock price histories affect corporate debt ratios. Consistent with earlier work, we find that these variables have a substantial influence on changes in capital structure. Specifically, stock price changes and financial deficits (i.e., the amount of external capital raised) have strong influences on capital structure changes, but in contrast to previous conclusions, we find that their effects are subsequently at least partially reversed. These results indicate that although a firm's history strongly influence their capital structures, that over time, financing choices tend to move firms towards target debt ratios that are consistent with the tradeoff theories of capital structure.

639 citations


Authors

Showing all 2855 results

NameH-indexPapersCitations
James J. Heckman175766156816
Andrei Shleifer171514271880
Joseph E. Stiglitz1641142152469
Daron Acemoglu154734110678
Gordon H. Hanson1521434119422
Edward L. Glaeser13755083601
Alberto Alesina13549893388
Martin B. Keller13154165069
Jeffrey D. Sachs13069286589
John Y. Campbell12840098963
Robert J. Barro124519121046
René M. Stulz12447081342
Paul Krugman123347102312
Ross Levine122398108067
Philippe Aghion12250773438
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202379
2022253
2021661
2020997
2019767
2018780