Robust Scheduling Practices in the U.S. Airline Industry: Costs, Returns, and Inefficiencies

References

• Agee M, Atkinson S, Crocker T (2012) Child maturation, time-invariant, and time-varying inputs: Their interaction in the production of child human capital. J. Productivity Anal. 38:29–44.Crossref, Google Scholar
• Arguello M, Bard J, Yu G (1997) A GRASP for aircraft routing in response to groundings and delays. J. Combinatorial Optim. 5:211–228.Crossref, Google Scholar
• Arikan M, Deshpande V, Sohoni M (2013) Building reliable air-travel infrastructure using empirical data and stochastic models of airline networks. Oper. Res. 61:45–64.Link, Google Scholar
• Atkinson S, Cornwell C (1993) Measuring technical efficiency with panel data: A dual approach. J. Econometrics 59:257–261.Crossref, Google Scholar
• Atkinson S, Cornwell C (1994) Parametric estimation of technical and allocative inefficiency with panel data. Internat. Econom. Rev. 35:231–243.Crossref, Google Scholar
• Atkinson S, Dorfman J (2005) Bayesian measurement of productivity and efficiency in the presence of undesirable outputs: Crediting electric utilities for reducing air pollution. J. Econometrics 126:445–468.Crossref, Google Scholar
• Atkinson S, Primont D (2002) Stochastic estimation of firm technology, inefficiency, and productivity growth using shadow cost and distance functions. J. Econometrics 108:203–225.Crossref, Google Scholar
• Atkinson S, Primont D, Tsionas M (2015) Estimation of efficient production using optimal directions with multiple inputs and outputs. Working paper, University of Georgia, Athens.Google Scholar
• Barnhart C, Belobaba P, Odoni A (2003) Application of operations research in the air transport industry. Transportation Sci. 37:368–391.Link, Google Scholar
• Berndt E, Wood D (1975) Technology, prices, and the derived demand for energy. Rev. Econom. Statist. 57:259–268.Crossref, Google Scholar
• Bratu S, Barnhart C (2006) Flight operations recovery: New approaches considering passenger recovery. J. Scheduling 9:279–298.Crossref, Google Scholar
• Brueckner J (2002) Airport congestion when carriers have market power. Amer. Econom. Rev. 92:1357–1375.Crossref, Google Scholar
• Brueckner J (2005) Internalization of airport congestion: A network analysis. Internat. J. Indust. Organ. 23:599–614.Crossref, Google Scholar
• Cachon G, Terwiesch C (2011) Matching Supply with Demand: An Introduction to Operations Management (McGraw-Hill, New York).Google Scholar
• Cannon J, Randall T, Terwiesch C (2012) An operations based earnings prediction model applied to the U.S. airline industry. Working paper, University of Utah, Salt Lake City.Google Scholar
• Caulkins JAB, Larkey P, Yuan Y, Goranson J (1993) The on-time machines: Some analyses of airline punctuality. Oper. Res. 41:710–720.Link, Google Scholar
• Chambers R, Chung Y, Färe R (1998) Profit, directional distance functions, and Nerlovian efficiency. J. Optim. Theory Appl. 98:351–364.Crossref, Google Scholar
• Chambers R, Färe R, Grosskopf S, Vardanyan M (2013) Generalized quadratic revenue functions. J. Econometrics 173:11–21.Crossref, Google Scholar
• Ciliberto F, Williams J (2010) Limited access to airport facilities and market power in the airline industry. J. Law Econom. 53:467–495.Crossref, Google Scholar
• Clausen J, Larsen A, Larsen J, Rezanova N (2010) Disruption management in the airline industry—Concepts, models and methods. Comput. Oper. Res. 37:809–821.Crossref, Google Scholar
• Daniel J (1995) Congestion pricing and capacity of large hub airports: A bottleneck model with stochastic queues. Econometrica 63:327–370.Crossref, Google Scholar
• Deshpande V, Arıkan M (2012) The impact of airline flight schedules on flight delays. Manufacturing Service Oper. Management 14:423–440.Link, Google Scholar
• Färe R, Grosskopf S, Noh D, Weber W (2005) Characteristics of a polluting technology: Theory and practice. J. Econometrics 126:469–492.Crossref, Google Scholar
• Forbes S (2008) The effect of air traffic delays on airline prices. Internat. J. Indust. Organ. 26:1218–1232.Crossref, Google Scholar
• Greene W (2005) Reconsidering heterogeneity in panel data estimators of the stochastic frontier model. J. Econometrics 126:269–303.Crossref, Google Scholar
• Hart A, Maynard M (2005) Another clock is ticking at Delta Air Lines. New York Times (January 29), http://www.nytimes.com/2005/01/29/business/another-clock-is-ticking-at-delta-air-lines.html.Google Scholar
• Hellerman R (2006) Capacity Options for Revenue Management: Theory and Applications in the Air Cargo Industry (Springer, Berlin).Google Scholar
• International Air Transport Association (2008) Air travel demand. IATA Economics Briefing 9: Measuring the Responsiveness of Air Travel Demand to Changes in Prices and Incomes, IATA, Montréal.Google Scholar
• Jiang H, Barnhart C (2009) Dynamic airline scheduling. Transportation Sci. 43:336–354.Link, Google Scholar
• Krinsky I, Robb A (1986) On approximating the statistical properties of elasticities. Rev. Econom. Statist. 68:715–719.Crossref, Google Scholar
• Kumbhakar S, Lovell C (2000) Stochastic Frontier Analysis (Cambridge University Press, Cambridge, UK).Crossref, Google Scholar
• Lan S, Clarke JP, Barnhart C (2006) Planning for robust airline operations: Optimizing aircraft routings and flight departure times to minimize passenger disruptions. Transportation Sci. 40:15–28.Link, Google Scholar
• Lapré MA, Scudder G (2004) Performance improvement paths in the U.S. airline industry: Linking tradeoffs to asset frontiers. Production Oper. Management 13:123–134.Crossref, Google Scholar
• Li J, Netessine S (2011) Partnering with competitors—An empirical analysis of airline alliances and multimarket competition. Working paper, INSEAD, Fontainebleau, France.Crossref, Google Scholar
• Li J, Granados N, Netessine S (2014) Are consumers strategic? Structural estimation from the air-travel industry. Management Sci. 60:2114–2137.Link, Google Scholar
• Lieberman M, Dhawan R (2005) Assessing the resource base of Japanese and U.S. auto producers: A stochastic frontier production approach. Management Sci. 51:1060–1075.Link, Google Scholar
• Mayer C, Sinai T (2003) Network effects, congestion externalities, and air traffic delays: Or why all delays are not evil. Amer. Econom. Rev. 93:1194–1215.Crossref, Google Scholar
• Mazzeo M (2003) Competition and service quality in the U.S. airline industry. Rev. Indust. Organ. 22:275–296.Crossref, Google Scholar
• Olivares M, Terwiesch C, Cassorla L (2008) Structural estimation of the newsvendor model: An application to reserving operating room time. Management Sci. 54:41–55.Link, Google Scholar
• Porter M (1996) What is strategy? Harvard Bus. Rev. (November–December):6–78.Google Scholar
• Ramdas K, Williams J, Lipson M (2013) Can stock price movements inform operational improvement efforts? Evidence from the airline industry. Manufacturing Service Oper. Management 15:405–422.Link, Google Scholar
• Rosenberger J, Schaefer A, Goldsman D, Johnson E, Kleywegt A, Nemhauser G (2002) A stochastic model of airline operations. Transportation Sci. 36:357–377.Link, Google Scholar
• Rupp N (2009) Do carriers internalize congestion costs? Empirical evidence on the internalization question. J. Urban Econom. 65:24–37.Crossref, Google Scholar
• Rupp N, Holmes G (2006) An investigation into the determinants of flight cancellations. Economica 73:749–783.Crossref, Google Scholar
• Rupp N, Holmes G, DeSimone J (2005) Airline schedule recovery after airport closures: Empirical evidence since September 11. Southern Econom. J. 71:800–820.Crossref, Google Scholar
• Schumer C, Maloney C (2008) Your flight has been delayed again: Flight delays cost passengers, airlines, and the U.S. economy billions. Report, U.S. Joint Economic Committee, Washington, DC.Google Scholar
• Shumsky R (1993) Response of U.S. air carriers to on-time disclosure rule. Transportation Res. Record 1379:9–16.Google Scholar
• Shumsky R (2006) The Southwest effect, airline alliances and revenue management. J. Revenue Pricing Management 5:83–89.Crossref, Google Scholar
• Smith B, Johnson E (2006) Robust airline fleet assignment: Imposing station purity using station decomposition. Transportation Sci. 40:497–516.Link, Google Scholar
• Snider C, Williams JW (2015) Barriers to entry in the airline industry: A multidimensional regression-discontinuity analysis of AIR-21. Rev. Econom. Statist. 97:1002–1022.Crossref, Google Scholar
• Williams JW (2014) Capacity investments, exclusionary behavior, and welfare: A dynamic model of competition in the airline industry. Working paper, University of North Carolina at Chapel Hill, Chapel Hill.Google Scholar