Income and employment effects of shale gas extraction windfalls: Evidence from the Marcellus region

Energy Economics

Volumn 47, Issue , 2015, Pages 112-120

  Paredes, Dusan ^a   Komarek, Timothy ^b   Loveridge, Scott ^c  

^a UNIVERSIDAD CATÓLICA DEL NORTE   (Chile)

^b OLD DOMINION UNIVERSITY   (United States)

^c MICHIGAN STATE UNIVERSITY   (United States)

Author keywords

Economic growth; Marcellus shale gas; Panel data; Propensity score matching; Resource extraction; Windfall

Indexed keywords

ECONOMIC ANALYSIS; EMPLOYMENT; ENVIRONMENTAL IMPACT; EXTRACTION; GASES; HORIZONTAL DRILLING; HYDRAULIC FRACTURING; NATURAL GAS WELL DRILLING; OIL SHALE; SHALE; SHALE GAS; SPECIFICATIONS;

ECONOMIC GROWTHS; MARCELLUS SHALES; PANEL DATA; PROPENSITY SCORE MATCHING; RESOURCE EXTRACTION; WINDFALL;

PETROLEUM DEPOSITS;

ECONOMIC GROWTH; EMPLOYMENT; HORIZONTAL DRILLING; HYDRAULIC FRACTURE; INCOME; PANEL DATA; SHALE;

EID: 84912055091     PISSN: 01409883     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eneco.2014.09.025     Document Type: Article

References (39)

1. Agarwal Sumit, Liu Chunlin, Souleles Nicholas The reaction of consumer spending and debt to tax rebates-evidence from consumer credit card data. J. Polit. Econ. 2007, 115(6):986-1019.
2. Arellano M. Computing robust standard errors for within-groups estimators. Oxf. Bull. Econ. Stat. 1987, 49:431-434.
3. Aroca P., Atienza M. Economic implications of long distance commuting in the Chilean mining industry. Resour. Policy 2011, 36(3):196-203. 10.1016/j.resourpol.2011.03.004.
4. Blackwell M., Iacus S.M., King G. CEM: coarsened exact matching in stata. Stata J. 2009, 9(4):524-546.
5. Bodkin Ronald Windfall income and consumption. Am. Econ. Rev. 1959, 49(4):602-614.
6. Chol Charles Q. Confirmed: fracking practices to blame for Ohio earthquakes. NBC News Science 2013, (Accessed at: http://www.nbcnews.com/science/fracking-practices-blame-ohio-earthquakes-8C11073601).
7. Dehejia R. Practical propensity score matching: a reply to Smith and Todd. J. Econ. 2005, 125(1-2):355-364. 10.1016/j.jeconom.2004.04.012.
8. Dobb Edwin The New Oil Landscape 2013, National Geographic, (Accessed at: http://ngm.nationalgeographic.com/2013/03/bakken-shale-oil/dobb-text).
9. Exploreshale.org Public Media for Public Understanding: Explore Shale Accessed at:. http://exploreshale.org/.
10. Ferrell Shannon, Sanders Larry Natural Gas Extraction: Issues and Policy Options 2013, National Agricultural and Rural Development Policy Center, (Accessed at: http://expeng.anr.msu.edu/uploads/files/133/2%20NaturalGasExtractionWhitePaper.pdf).
11. Ferrell Shannon, Sanders Larry Technical Supplement. Natural Gas Extraction: Issues and Policy Options 2013, National Agricultural and Rural Development Policy Center, (Accessed at: http://www.nardep.info/uploads/TechSupplementNatGasExtraction__2_.pdf).
12. Ferrell Shannon, Sanders Larry A Natural Gas Extraction Policy Alternatives Matrix 2013, National Agricultural and Rural Development Policy Center, (Accessed at: http://www.nardep.info/uploads/Natural_Gas_Extraction_Policy_Matrix.pdf).
13. Friedman Milton A Theory of the Consumption Function 1957, Princeton.
14. Huber M., Lechner M., Wunsch C. The performance of estimators based on the propensity score. J. Econ. 2013, 175(1):1-21.
15. Imbens Guido, Rubin Donald, Sacerdote Bruce Estimating the effect of unearned income on labor earnings, savings, and consumption: evidence from a survey of lottery players. Am. Econ. Rev. 2001, 91(4):778-794.
16. Jappelli Tullio, Pistaferri Luigi The consumption response to income changes. Annu. Rev. Econ. 2010, 2(1):479-506.
17. Kelsey Timothy W., Shields Martin, Ladlee James R., Ward Melissa Economic Impacts of Marcellus Shale in Pennsylvania: Employment and Income in 2009 2011, Marcellus Shale Education and Training Center, Williamsport, PA.
18. Kelsey Timothy W., Shields Martin, Ladlee James R., Ward Melissa Economic Impacts of Marcellus Shale in Bradford County: Employment and Income in 2010 2012, Marcellus Shale Education & Training Center, Williamsport, PA, (http://www.marcellus.psu.edu/resources/PDFs/EI_Bradford.pdf).
19. Kim Beomsoo, Ruhm Christopher J. Inheritances, health and death. Health Econ. 2012, 21:127-144. 10.1002/hec.1695.
20. Kinnaman Thomas The economic impact of shale gas extraction: a review of existing studies. Ecol. Econ. 2011, 70:1243-1249.
21. Kreinin Mordechai Windfall and consumption: additional evidence. Am. Econ. Rev. 1961, 51(3):388-390.
22. Larsson Bengt Becoming a winner but staying the same: identities and consumption of lottery winners. Am. J. Econ. Sociol. 2011, 70(1):187-209. 10.1111/j.1536-7150.2010.00768.x.
23. Loveridge Scott A typology and assessment of multi-sector regional economic impact models. Reg. Stud. 2004, 38(3):305-317.
24. McKinnish T. Panel data models and transitory fluctuations in the explanatory variable. Modeling and Evaluating Treatment Effects in Econometrics (Advances in Econometrics) 2008, Volume 21:335-358. Emerald Group Publishing Limited. T. Fomby, R.C. Hill, D.L. Millimet, J.A. Smith, E.J. Vytlacil (Eds.).
25. National Agricultural Statistics Service Accessed at:. http://www.nass.usda.gov/Charts_and_Maps/Farms_and_Land_in_Farms/fncht6.asp.
26. Nickerson Cynthia, Morehart Mitchell, Kuethe Todd, Beckman Jayson, Ifft Jennifer, Williams Ryan Trends in U.S. farmland values and ownership. Economic Information Bulletin Number 92 2012, United States Department of Agriculture, Economic Research Service, Washington DC.
27. Reed W.Robert, Rogers Cynthia L. A study of quasi-experimental control group methods for estimating policy impacts. Reg. Sci. Urban Econ. 2003, 33(1):3-25.
28. Rephann T., Isserman A. New highways as economic development tools: an evaluation using quasi-experimental matching methods. Reg. Sci. Urban Econ. 1994, 24(6):723-751.
29. Rosenbaum P.R., Rubin D.B. The central role of the propensity score in observational studies for causal effects. Biometrika 1983, 70(1):41-55. 10.1093/biomet/70.1.41.
30. Rosenbaum P.R., Rubin D.B. Reducing bias in observational studies using subclassification on the propensity score. J. Am. Stat. Assoc. 1984, 9.
31. Rosenbaum P.R., Rubin D.B. Constructing a control group using multivariate matched sampling methods that incorporate the propensity score. Am. Stat. 1985, 39(1):33-38.
32. Rowan E.L., Engle M.A., Kirby C.S., Kraemer T.F. Radium Content of Oil- and Gas-Field Produced Waters in the Northern Appalachian Basin (USA): Summary and Discussion of Data. Scientific Investigations Report 2011-5135 2011, U.S. Department of the Interior U.S. Geological Survey, (http://pubs.usgs.gov/sir/2011/5135/pdf/sir2011-5135.pdf).
33. Seneca Resources The BMO Capital Markets 2010 Unconventional Resource Conference 2010, (Accessed at http://www.getfilings.com/sec-filings/100112/NATIONAL-FUEL-GAS-CO_8-K/l38474exv99.htm).
34. Shah B.R., Laupacis A., Hux J.E., Austin P.C. Propensity score methods gave similar results to traditional regression modeling in observational studies: a systematic review. J. Clin. Epidemiol. 2005, 58(6):550-559.
35. Stevens B.H., Lahr M.L. Regional Economic Multipliers: Definition, Measurement, and Application. Econ. Dev. Quarterly 1988, 2(1):88-96.
36. U.S.Energy Information Administration Natural Gas Summary Accessed at:. http://www.eia.gov/dnav/ng/ng_sum_lsum_dcu_nus_m.htm.
37. Weber J.G. The effect of a natural gas boom on employment and income in Colorado, Texas and Wyoming. Energy Econ. 2012, 34:1580-1588.
38. Weidner Krista, Faulcon Bowen Cathy, Jocobson Michael, Pifer Ross Natural Gas Exploration: A Landowner's Guide to Financial Management 2009, University Park, PennState Cooperative Extension, (http://pubs.cas.psu.edu/FreePubs/pdfs/ui394.pdf).
39. Xiao Yu., Feser Edward The unemployment impact of the 1993 US Midwest flood: a quasi-experimental structural break point analysis. Environ. Hazards 2013, 10.1080/17477891.2013.777892.