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11. Economic Consequences of the U.S. Convict Labor System

Author:
Michael Poyker
Publication Date:
03-2019
Content Type:
Working Paper
Institution:
Institute for New Economic Thinking (INET)
Abstract:
I study the economic externalities of convict labor on local labor markets and firms. Using newly collected panel data on U.S. prisons and convict-labor camps from 1886 to 1940, I calculate each county’s exposure to prisons. I exploit quasi-random variation in county’s exposure to capacities of pre-convict-labor prisons as an instrument. I find that competition from cheap prison-made goods led to higher unemployment, lower labor-force participation, and reduced wages (particularly for women) in counties that housed competing manufacturing industries. The introduction of convict labor accounts for 0.5 percentage-point slower annual growth in manufacturing wages during 1880– 1900. At the same time, affected industries had to innovate away from the competition and thus had higher patenting rates. I also document that technological changes in affected industries were capital-biased.
Topic:
Economics, Political Economy, Labor Issues, Capitalism, Domestic politics, Macroeconomics, Mass Incarceration, and Manufacturing
Political Geography:
United States

12. The Knightian Uncertainty Hypothesis: Unforeseeable Change and Muth’s Consistency Constraint in Modeling Aggregate Outcomes

Author:
Roman Frydman, Søren Johansen, Anders Rahbek, and Morten Tabor
Publication Date:
03-2019
Content Type:
Working Paper
Institution:
Institute for New Economic Thinking (INET)
Abstract:
This paper introduces the Knightian Uncertainty Hypothesis (KUH), a new approach to macroeconomics and finance theory. KUH rests on a novel mathematical framework that characterizes both measurable and Knightian uncertainty about economic outcomes. Relying on this framework and John Muth’s pathbreaking hypothesis, KUH represents participants’ forecasts to be consistent with both uncertainties. KUH thus enables models of aggregate outcomes that 1) are premised on market participants’ rationality, and 2) yet accord a role to both fundamental and psychological (and other non-fundamental) factors in driving outcomes. The paper also suggests how a KUH model’s quantitative predictions can be confronted with time-series data.
Topic:
Economics, Markets, Economic Theory, Macroeconomics, and Mathematics
Political Geography:
United States

13. The Contributions of Socioeconomic and Opioid Supply Factors to Geographic Variation in U.S. Drug Mortality Rates

Author:
Shannon Monnat
Publication Date:
02-2019
Content Type:
Working Paper
Institution:
Institute for New Economic Thinking (INET)
Abstract:
Over the past two decades deaths from opioids and other drugs have grown to be a major U.S. population health problem, but the magnitude of the crisis varies across the U.S., and explanations for widespread geographic variation in the severity of the drug crisis are limited. An emerging debate is whether geographic differences in drug mortality rates are driven mostly by opioid supply factors or socioeconomic distress. To explore this topic, I examined relationships between county-level non-Hispanic white drug mortality rates for 2000-02 and 2014-16 and several socioeconomic and opioid supply measures across the urban-rural continuum and within different rural labor markets. Net of county demographic composition, average non-Hispanic white drug mortality rates are highest and increased the most in large metro counties. In 2014-16, the most rural counties had an average of 6.2 fewer deaths per 100,000 population than large metro counties. Economic distress, family distress, persistent population loss, and opioid supply factors (exposure to prescription opioids and fentanyl) are all associated with significantly higher drug mortality rates. However, the magnitude of associations varies across the urban-rural continuum and across different types of rural labor markets. In rural counties, economic distress appears to be a stronger predictor than opioid supply measures of drug mortality rates, but in urban counties, opioid supply factors are more strongly associated with drug mortality rates than is economic distress. Ultimately, the highest drug mortality rates are disproportionately concentrated in economically distressed mining and service sector dependent counties with high exposure to prescription opioids and fentanyl.
Topic:
Economics, Health, Inequality, Macroeconomics, and Drugs
Political Geography:
United States

14. Finance in Economic Growth: Eating the Family Cow

Author:
Peter Temin
Publication Date:
01-2019
Content Type:
Working Paper
Institution:
Institute for New Economic Thinking (INET)
Abstract:
It is hard to fit finance into the measurement of national product and of economic growth, and similar problems bedevil efforts to include other intangible investments as well. I describe how our current accounts deal with these problems, and I argue that existing NIPA data fail to describe the future path of growth in our new economy because they lack output data on financial, human and social capital investments. They fail to show that the United States is consuming its capital stock now and will suffer later, rather like killing the family cow to have a steak dinner.
Topic:
Economics, Finance, Economic growth, and Macroeconomics
Political Geography:
United States