The effect of the oil and gas boom on schooling decisions in the U.S

Zuo, Na; Schieffer, Jack; Buck, Steven

doi:10.1016/j.reseneeco.2018.10.002

Cited by 25 publications

(16 citation statements)

References 42 publications

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“…Figure A6 for the corresponding event-study estimates. The revenue and spending results are in line with the null effects obtained in other national-scale analysis (Bartik et al, forthcoming) but by construction are unable to capture the heterogeneous effects uncovered in regional analyses (Marchand and Weber, 2015;Newell and Raimi, 2015;Ratledge and Zachary, 2017;Weber, Burnett, andXiarchos, 2016, Zuo, Schieffer, andBuck, 2018). Our class size results obtained at the national level also cannot produce the heterogeneity documented in regional analyses (Marchand and Weber, 2015;Ratledge and Zachary, 2017).…”

Section: Mechanisms: Theory and Evidencesupporting

confidence: 74%

“…See Online Appendix FigureA8for the corresponding event-study estimates. The revenue and spending results are in line with the null effects obtained in other national-scale analysis(Bartik et al 2019) but by construction are unable to capture the heterogeneous effects uncovered in regional analyses(Newell and Raimi 2015;Weber, Burnett, and Xiarchos 2016;Ratledge and Zachary 2017;Zuo et al 2018;Marchand and Weber 2020). Our class size results obtained at the national level also cannot produce the heterogeneity documented in regional analyses(Ratledge and Zachary 2017;Marchand and Weber 2020).EDUCATIONAL RESPONSE TO LOW-SKILL-BIASED TECHNOLOGICAL CHANGE…”

supporting

confidence: 46%

“…Rickman, Wang, and Winters (2017) assigned treatment to individuals aged 18-24 based on birth state, then used cross-state variation between three states and a synthetic control group. Zuo, Schieffer, and Buck (2018) used different sources of fracking-related variation and focused on aggregate high school enrollment. Our study is unique in encompassing a large geographic area, in making a distinction in the likely impacts by sex, and in using multiple data sources to measure high school dropout.…”

Section: Fracking and High School Dropoutmentioning

confidence: 99%

“…By focusing on a younger, less mobile population, we attempt to isolate educational decisions from residential ones, like previous studies of resource booms and busts (Black, McKinnish, and Sanders, 2005;Emery, Ferrer, and Green, 2012;Morissette, Chan, and Lu, 2015), and as noted, our survey data allow us to rule out migration as a confounder. By incorporating more states and multiple data sources, our analysis is also more comprehensive than concurrent studies of fracking's impacts on the schooling decisions of young people (e.g., Marchand and Weber, 2015;Rickman, Wang, and Winters, 2017;Zuo, Schieffer, and Buck, 2018). More states allow for consideration of the mediating effects of changes in state education policies like compulsory schooling laws.…”

Section: Introductionmentioning

confidence: 99%

“…Rickman, Wang, and Winters (2017) focus on the educational attainment of native-born individuals aged 18-24 using cross-state variation between three states and a synthetic control group. Zuo, Schieffer, and Buck (2018) provide a complementary analysis using different sources of fracking-related variation and focusing on aggregate high school enrollment from the CCD, without separate estimates by sex.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Who Needs a Fracking Education? The Educational Response to Low-Skill-Biased Technological Change

Cascio¹,

Narayan

2020

ILR Review

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The authors explore the educational response to fracking—a recent technological breakthrough in the oil and gas industry—by taking advantage of the timing of its diffusion and spatial variation in shale reserves. They show that fracking has significantly increased relative demand for less-educated male labor and increased high school dropout rates of male teens, both overall and relative to females. Estimates imply that, absent fracking, the teen male dropout rate would have been 1 percentage point lower over the period 2011–15 in the average labor market with shale reserves, implying an elasticity of school enrollment with respect to earnings below historical estimates. Fracking increased earnings and job opportunities more among young men than male teenagers, suggesting that educational decisions respond to improved earnings prospects, not just opportunity costs. Other explanations for the findings, such as changes in school quality, migration, or demographics, receive less empirical support.

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Section: Mechanisms: Theory and Evidencesupporting

confidence: 74%