2017
DOI: 10.1017/s002205071700002x
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How Much Does Political Uncertainty Matter? The Case of Louisiana under Huey Long

Abstract: We study the effect of political uncertainty on economic outcomes using the case of Huey Long's tenure as governor and senator of Louisiana during the Great Depression. Based on primary sources, we construct two well-established measures of uncertainty specifically for Louisiana: stock price volatility and newspaper mentions of terms related to “uncertainty” and the economy. Combining these uncertainty measures with employment data from the Census of Manufactures, we attempt to identify the effects of politica… Show more

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Cited by 17 publications
(3 citation statements)
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References 35 publications
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“…An interesting method to measure unoberseved economic statistics is to use text as data, which has been used to study inflation expectations (Binder, 2016;Jalil and Rua, 2016;Daniel and ter Steege, 2020) and uncertainty (Baker, Bloom, and Davis, 2016;Mathy and Ziebarth, 2017;Lennard, 2020;Mathy, 2020) in historical contexts. Applied to expected inflation, this "quantitative news" approach involves counting the number of articles about inflation and deflation in newspapers.…”
Section: B Quantitative Newsmentioning
confidence: 99%
“…An interesting method to measure unoberseved economic statistics is to use text as data, which has been used to study inflation expectations (Binder, 2016;Jalil and Rua, 2016;Daniel and ter Steege, 2020) and uncertainty (Baker, Bloom, and Davis, 2016;Mathy and Ziebarth, 2017;Lennard, 2020;Mathy, 2020) in historical contexts. Applied to expected inflation, this "quantitative news" approach involves counting the number of articles about inflation and deflation in newspapers.…”
Section: B Quantitative Newsmentioning
confidence: 99%
“…Hence, Threat and Act are end-of-month metrics. To control for the amount of news that was being produced, this frequency is divided by the number of issues per month, in the spirit of Mathy and Ziebarth (2017). The metrics are multiplied by 100 and logged, as in Brogaard and Detzel (2012):…”
Section: Textual Analysismentioning
confidence: 99%
“…where Z t is Threat or Act in month t. The number of issues varies between three and five. Due to the large amount of high-frequency movements, I smooth the risk measures with a Savitzky and Golay filter, in the spirit of Mathy and Ziebarth (2017). The technique fits a subset of data points with a lower degree polynomial through linear least squares.…”
Section: Textual Analysismentioning
confidence: 99%