Measuring E¢ ciency: A Kalman Filter Approach

In the Kalman …lter setting, one can model the disturbance term and the ine¢ ciency term of the standard stochastic frontier composed error as unobserved states. This gives signi…cant ‡exibility to the econometrician when modeling ine¢ ciency. In this study a panel data version of the local level model is used for estimating time-varying e¢ ciencies of …rms. Monet Carlo simulation results indicate that whenever the e¢ ciency levels of the …rms ‡uctuate, some of the widely used estimators perform poorly in capturing the e¢ ciencies of the …rms. On the other hand, the Kalman …lter performs quite well. We apply the Kalman …lter to estimate average e¢ ciencies of U.S. airlines during the period 1999-2009 and …nd that the technical e¢ ciency of these carriers do not show a tendency to increase. For the …rst few years of the study period, it seems that the e¢ ciencies of the airlines decreased.

[1]  C. Lovell,et al.  On the estimation of technical inefficiency in the stochastic frontier production function model , 1982 .

[2]  Badi H. Baltagi,et al.  Airline Deregulation: The Cost Pieces of the Puzzle , 1995 .

[3]  D. Aigner,et al.  P. Schmidt, 1977,?Formulation and estimation of stochastic frontier production function models,? , 1977 .

[4]  G. Battese,et al.  Frontier production functions, technical efficiency and panel data: With application to paddy farmers in India , 1992 .

[5]  Kien C. Tran,et al.  GMM estimation of stochastic frontier model with endogenous regressors , 2013 .

[6]  D. Jorgenson,et al.  Econometric modeling of technical change , 2010 .

[7]  Robin C. Sickles,et al.  Allocative distortions and the regulatory transition of the U.S. airline industry , 1986 .

[8]  Lung-fei Lee,et al.  The measurement and sources of technical inefficiency in the Indonesian weaving industry , 1981 .

[9]  Subal C. Kumbhakar,et al.  Modeling allocative inefficiency in a translog cost function and cost share equations: An exact relationship , 1997 .

[10]  C. Nelson,et al.  Estimation of a Forward-Looking Monetary Policy Rule: A Time-Varying Parameter Model Using Ex-Post Data , 2006 .

[11]  Robin C. Sickles,et al.  A NEW PANEL DATA TREATMENT FOR HETEROGENEITY IN TIME TRENDS , 2012, Econometric Theory.

[12]  Robin C. Sickles,et al.  Panel estimators and the identification of firm-specific efficiency levels in parametric, semiparametric and nonparametric settings , 2005 .

[13]  Jerry A. Hausman,et al.  Panel Data and Unobservable Individual Effects , 1981 .

[14]  Seung C. Ahn,et al.  Panel Data Models with Multiple Time-Varying Individual Effects , 2013 .

[15]  Levent Kutlu Battese-coelli estimator with endogenous regressors , 2010 .

[16]  R. Färe,et al.  Productivity? of US Airlines After Deregulation , 2007 .

[17]  Chang‐Jin Kim Time-varying parameter models with endogenous regressors , 2006 .

[18]  Tai-Hsin Huang,et al.  A study on long-run inefficiency levels of a panel dynamic cost frontier under the framework of forward-looking rational expectations , 2009 .

[19]  Chang‐Jin Kim,et al.  Dealing with Endogeneity in a Time�?Varying Parameter Model: Joint Estimation and Two�?Step Estimation Procedures , 2011 .

[20]  Allen N. Berger “Distribution-free” estimates of efficiency in the U.S. banking industry and tests of the standard distributional assumptions , 1993 .

[21]  Kevin J. Fox,et al.  On the estimation of returns to scale, technical progress and monopolistic markups , 2008 .

[22]  Steven L. Puller Pricing and Firm Conduct in California's Deregulated Electricity Market , 2007, The Review of Economics and Statistics.

[23]  Badi H. Baltagi,et al.  Excess capacity: a permanent characteristic of US airlines? , 1998 .

[24]  R. E. Kalman,et al.  A New Approach to Linear Filtering and Prediction Problems , 2002 .

[25]  S. Borenstein On the Persistent Financial Losses of U.S. Airlines: A Preliminary Exploration , 2011 .

[26]  Efthymios G. Tsionas,et al.  Inference in dynamic stochastic frontier models , 2006 .

[27]  Léopold Simar,et al.  Semiparametric efficient estimation of dynamic panel data models , 2007 .

[28]  Chang‐Jin Kim Dealing with Endogeneity in Regression Models with Dynamic Coefficients , 2010 .

[29]  Susanto Basu,et al.  Returns to Scale in U.S. Production: Estimates and Implications , 1997, Journal of Political Economy.

[30]  W. Meeusen,et al.  Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error , 1977 .

[31]  Steven L. Puller Estimation of competitive conduct when firms are efficiently colluding: addressing the Corts critique , 2009 .

[32]  Robin C. Sickles,et al.  A nonlinear multivariate error components analysis of technology and specific factor productivity growth with an application to the U.S. Airlines , 1985 .

[33]  Grigorios Emvalomatis,et al.  A Reduced‐Form Model for Dynamic Efficiency Measurement: Application to Dairy Farms in Germany and the Netherlands , 2011 .

[34]  Robin C. Sickles,et al.  Estimation of long-run inefficiency levels: a dynamic frontier approach , 2000 .

[35]  Andrew Harvey,et al.  Forecasting, Structural Time Series Models and the Kalman Filter , 1990 .

[36]  Siem Jan Koopman,et al.  Time Series Analysis by State Space Methods , 2001 .

[37]  C. Lovell,et al.  Stochastic Frontier Analysis: Frontmatter , 2000 .

[38]  S. Kumbhakar Production frontiers, panel data, and time-varying technical inefficiency , 1990 .

[39]  R. Eubank,et al.  Convergence rates for trigonometric and polynomial-trigonometric regression estimators , 1991 .

[40]  S. Kumbhakar,et al.  A dynamic stochastic frontier production model with time-varying efficiency , 2002 .

[41]  Allen N. Berger,et al.  The Efficiency Cost of Market Power in the Banking Industry: A Test of the Quiet Life and Related Hypotheses , 1998, Review of Economics and Statistics.

[42]  A. Peyrache,et al.  Incorporating temporal and country heterogeneity in growth accounting—an application to EU-KLEMS , 2017 .

[43]  R. Sickles,et al.  Estimation of market power in the presence of firm level inefficiencies , 2012 .

[44]  Léopold Simar,et al.  Stochastic Frontiers: A Semiparametric Approach , 1993 .

[45]  P. Schmidt,et al.  Production Frontiers and Panel Data , 1984 .