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Book
Capital Destruction and Economic Growth : The Effects of Sherman's March, 1850-1920
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Year: 2018 Publisher: National Bureau of Economic Research

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Regional and Racial Inequality in Infectious Disease Mortality in U.S. Cities, 1900-1948
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Year: 2018 Publisher: National Bureau of Economic Research

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Return to Education in the Mid-20th Century : Evidence from Twins
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Year: 2019 Publisher: National Bureau of Economic Research

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Organizational and Economic Obstacles to Automation
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Year: 2021 Publisher: National Bureau of Economic Research

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When Coercive Economies Fail
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Year: 2020 Publisher: National Bureau of Economic Research

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Inequality and the Safety Net Throughout the Income Distribution, 1929-1940
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Year: 2020 Publisher: National Bureau of Economic Research

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Capital Destruction and Economic Growth : The Effects of Sherman's March, 1850-1920
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Year: 2018 Publisher: Cambridge, Mass. National Bureau of Economic Research

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Using General William Sherman's 1864-65 military march through Georgia, South Carolina, and North Carolina during the American Civil War, this paper studies the effect of capital destruction on medium and long-run local economic activity, and the role of financial markets in the recovery process. We match an 1865 US War Department map of Sherman's march to county-level demographic, agricultural, and manufacturing data from the 1850-1920 US Censuses. We show that the capital destruction induced by the March led to a large contraction in agricultural investment, farming asset prices, and manufacturing activity. Elements of the decline in agriculture persisted through 1920. Using information on local banks and access to credit, we argue that the underdevelopment of financial markets played a role in weakening the recovery.


Digital
Regional and Racial Inequality in Infectious Disease Mortality in U.S. Cities, 1900-1948
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Year: 2018 Publisher: Cambridge, Mass. National Bureau of Economic Research

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In the first half of the twentieth century, the rate of death from infectious disease in the United States fell precipitously. Although this decline is well-known and well-documented, there is surprisingly little evidence about whether it took place uniformly across the regions of the U.S. We use data on infectious disease deaths from all reporting U.S. cities to describe regional patterns in the decline of urban infectious mortality from 1900 to 1948. We report three main results: First, urban infectious mortality was higher in the South in every year from 1900 to 1948. Second, infectious mortality declined later in southern cities than in cities in the other regions. Third, comparatively high infectious mortality in southern cities was driven primarily by extremely high infectious mortality among African Americans. From 1906 to 1920, African Americans in cities experienced a rate of death from infectious disease greater than what urban whites experienced during the 1918 flu pandemic.


Book
Why Does Education Increase Voting? Evidence from Boston's Charter Schools
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Year: 2021 Publisher: Cambridge, Mass. National Bureau of Economic Research

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In the United States, people with more education vote more. But, we know little about why education increases political participation or whether higher-quality education increases civic participation. We study applicants to Boston charter schools, using school lotteries to estimate charter attendance impacts for academic and voting outcomes. First, we confirm large academic gains for students in the sample of charter schools and cohorts investigated here. Second, we find that charter attendance boosts voter participation. Voting in the first presidential election after a student turns 18 increased substantially, by six percentage points from a base of 36 percent. The voting effect is driven entirely by girls and there is no increase in voter registration. Rich data and the differential effects by gender enable us to explore multiple potential channels for the voting impact. We find evidence that charter schools increase voting by increasing students' noncognitive skills.

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Automated Linking of Historical Data
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Year: 2019 Publisher: Cambridge, Mass. National Bureau of Economic Research

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The recent digitization of complete count census data is an extraordinary opportunity for social scientists to create large longitudinal datasets by linking individuals from one census to another or from other sources to the census. We evaluate different automated methods for record linkage, performing a series of comparisons across methods and against hand linking. We have three main findings that lead us to conclude that automated methods perform well. First, a number of automated methods generate very low (less than 5%) false positive rates. The automated methods trace out a frontier illustrating the tradeoff between the false positive rate and the (true) match rate. Relative to more conservative automated algorithms, humans tend to link more observations but at a cost of higher rates of false positives. Second, when human linkers and algorithms use the same linking variables, there is relatively little disagreement between them. Third, across a number of plausible analyses, coefficient estimates and parameters of interest are very similar when using linked samples based on each of the different automated methods. We provide code and Stata commands to implement the various automated methods.

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