Alan L. Gustman, Thomas L. Steinmeier, A Disaggregated, Structural Analysis of Retirement by Race, Difficulty of Work and Health, The Review of Economics and Statistics, Vol. 68, No. 3 (Aug., 1986), pp. 509-513

With climate change as prototype example, this paper analyzes the implications of structural uncertainty for the economics of low-probability, high-impact catastrophes. Even when updated by Bayesian learning, uncertain structural parameters induce a critical “tail fattening” of posterior-predictive distributions. Such fattened tails have strong implications for situations, like climate change, where a catastrophe is theoretically possible because prior knowledge cannot place sufficiently narrow bounds on overall damages. This paper shows that the economic consequences of fat-tailed structural uncertainty (along with unsureness about high-temperature damages) can readily outweigh the effects of discounting in climate-change policy analysis.

W l THAT have we learned from ComIV Vmission on Money and Credit about processes and responses in monetary policy? So far as I can see, from Report itself, very little but perhaps experts in monetary economics were not a significant part of audience at whom Report was aimed. So most fruitful course may be to turn primarily to staff papers. Here there is substantial evidence of quantity theory reborn at least in sense that money matters a good deal in determining aggregate spending on current output and of an important postwar change in monetary theory. As noted in my introduction to this volume, this postwar shift in theory is centered in approach to demand for money and other assets. In this theory, channels through which variations in money supply affect levels of income and employment include not only a change in the interest but also changes in relative prices of all assets-real and financialwhich in turn lead to shifts in spending on existing assets and currently produced goods and services. Thus in its extreme form approach suggests that we need to look not at one interest rate but at an extremely large number, including implied interest rates on all real assets and including consumer goods of any degree of durability. In logical terms, this approach offers an elegant rapprochement for devotees of and quantity-theory approaches to role of money, and for monetary-versus-fiscal policy disputes since I930's. If look prevails, we may look back at much of this controversy as a good deal less significant than it has seemed en route. The great controversy over Is savings really equal to investment? of late I930's and early I940's springs to mind. But agreement on this mechanism doesn't necessarily tell us how important money is quantitatively. If we look at staff papers (or at least, at sample I managed), what does professional support for renaissance of money and monetary policy amount to? Friedman and Meiselman, as might be expected, plump for money as a prime determinant of level of spending on current output, and show convincingly that a simple, traditional monetary model versus a simple traditional Keynesian model test gives verdict clearly to stability for velocity over stability for ratio of autonomous to income, including cases where reasonable lags are introduced. Moreover, they go on to spell out portfolio balancing mechanism as at least a plausible mechanism through which this monetary effect may be exerted. If we take Section VI of their paper as a statement of new monetary orthodoxy, on intellectual grounds at least a good deal of basis for long quarrel between monetary and Keynesian economists has been reasoned (or compromised) away. Few, even most ardent neo-Keynesians, would disagree that impact of open market operations may be through spreading net which Friedman and Meiselman spell outnot merely through one (bond) interest rate alone acting on investment decisions. The major challenge to now generally accepted fiscal policy position as our really powerful stabilization tool becomes a strong one if a reasonably stable demand for money is added to mechanism as at least Friedman and Meiselman argue. The C.M.C. staff papers contain no empirical answer to Friedman and Meiselman challenge to show better results with another model. Tobin, in his paper on debt policy, provides an elegant statement of a very similar mechanism through which changes in money stock and liquidity may influence spending decisions on current output through rebalancing of asset portfolios. But I hope it will not be too dissident a note to suggest that we really know very little empirically about validity of this description of channels of monetary policy; and that elaborate portfolio-balancing general equilibrium approach lacks intuitive appeal

This paper uses decennial Census data to examine the residential integration of the foreign born in the United States between 1910 and 2000. Immigrant segregation declined in the first part of the century, but has been rising over the past few decades. Recent immigrants tend to hail from countries with greater cultural distinctions from U.S. natives, whether economic, racial, or linguistic. These factors explain much of the increase in segregation after 1970. Evidence also points to changes in urban form, particularly native-driven suburbanization and the decline of public transit as a transportation mode, as an explanation for the new immigrant segregation.

Do banks matter for growth, and if so, how? This paper examines the effects of national banks in the United States from 1870 to 1900. I use the discontinuity in entry caused by a large minimum size requirement to identify the effects of banking. For the counties on the margin between getting a bank and not, gaining a bank increased production per person by 10%. National banks in rural areas improved agriculture over manufacturing, moving counties toward geographic comparative advantage. Since these banks made few long-term loans, the evidence suggests that the provision of working capital and liquidity matters for growth.

Until recently, estimates of demand functions for public goods were obtained (either with aggregate or micro survey data) using single equation estimation techniques. However, demand estimates may be biased when in dividuals' choices of communities are dependent upon the quantity and quality of public good provided. This paper spells out the nature of this bias (called Tiebout bias) and suggests an improved maximum-likelihood estimation technique. The technique is applied to a data set involving local public education in Michigan.

A probabilistic discovery model modified after Kaufman's earlier model is simplified to reduce computational demands and to reduce the sensitivity of the resulting estimates. The model is applied to the North Sea to estimate remaining oil reserves and forecast future discoveries. The simplification jeopardizes some informational detail, but the errors and approximations inherent in historical data sometimes overvalue the available information. A broader categorization scheme helps to control errors in this case. The model uses a stochastic production function based on a timing relationship between exploratory efforts and reservoir discovery and on a dynamic relationship of productivity and resource depletion. 21 references, 4 tables. (DCK)

Gun violence is a major problem in the United States, and extensive prior work has shown that higher temperatures increase violent behavior. We consider whether restricting the concealed carry of firearms mitigates or exacerbates the effect of temperature on violence. We use two identification strategies that exploit daily variation in temperature and variation in gun control policies between and within states. We provide evidence that more-prohibitive concealed-carry laws attenuate the temperature-homicide relationship. Our findings are consistent with more-prohibitive policy regimes reducing the lethality of altercations.