Manufacturing Decline, Housing Booms, and Non-Employment

By K. K. Charles, Erik G. Hurst, Matthew J. Notowidigdo. 2013

114 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/fd39c8ed5605974eb57d9d692ac87e29036fb73d

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Citations in the corpus

Credit-Induced Boom and Bust (2017, unknown): “This evidence complements the findings of Charles et al. (2013) by showing that other sectors in the non-tradable sector -in addition to construction - were experiencing a similar increase in employment during the boom period, which masked the general decrease of employment in the manufacturing indu”
Supply Constraints Are Not Valid Instrumental Variables for Home Prices Because They Are Correlated with Many Demand Factors (2016, background): “An alternative approach offered by Charles et al. (2013) is to interact demand growth measures with supply constraints over a long horizon to obtain identifica- tion.”
Good Jobs and Recidivism (2018, background): “The scale of incarceration in the United States is largely driven by the failure of former inmates to successfully reenter noninstitutionalized society.”
Regional Heterogeneity and Monetary Policy (2019, unknown): “First, prior to QE1, the trend in auto sales was nearly identical in percentage terms between the high and low CLTV_80 quartiles.”
The Demise of U.S. Economic Growth: Restatement, Rebuttal, and Reflections (2014, unknown): “Charles, Hurst, and Notowidigdo (2013) have shown that roughly half of the seven million person loss of manufacturing jobs between 2000 and 2011 occurred before 2008.”
The future of employment: How susceptible are jobs to computerisation? (2017, methodology): “For example, studies by Charles et al. (2013) and Jaimovich and Siu (2012) emphasise that the ongoing decline in manufacturing employment and the disappearance of other routine jobs is causing the current low rates of employment.3 In addition to the computerisation of routine manufacturing tasks,…”
Disappearing Routine Jobs: Who, How, and Why? (2017, background): “With respect to the rise in non-employment in the U.S., Charles, Hurst, and Notowidigdo (2013) discuss the role of the decline in manufacturing, Beaudry, Green, and Sand (2016) highlight a reversal in the demand for cognitive skills, and Acemoglu et al. (2016) discuss the role of increased import…”
The Cycle of Earnings Inequality: Evidence from Spanish Social Security Data (2017, unknown): “The percentage of previous earnings imputed depends on the number of months in unemployment as follows: 70% (1-6 months), 60% (6-24), 50% (25-48), 40% (49-72), 30% (73-96), 20% (97-120), and 10% (>120).”