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Editors’ introduction
–Subal C. Kumbhakar, Peter Schmidt []

A weak instrument F-test in linear IV models with multiple endogenous variables
–Eleanor Sanderson, Frank Windmeijer [] []

Endogenous network production functions with selectivity
–William C. Horrace, Xiaodong Liu, Eleonora Patacchini [] []

Varying coefficient panel data model in the presence of endogenous selectivity and fixed effects
–Emir Malikov, Subal C. Kumbhakar, Yiguo Sun [] []

A control function approach to estimating switching regression models with endogenous explanatory variables and endogenous switching
–Irina Murtazashvili, Jeffrey M. Wooldridge [] []

Estimating production functions with control functions when capital is measured with error
–Kyoo il Kim, Amil Petrin, Suyong Song [] []

Endogeneity in stochastic frontier models
–Christine Amsler, Artem Prokhorov, Peter Schmidt [] []

A spatial autoregressive stochastic frontier model for panel data with asymmetric efficiency spillovers
–Anthony J. Glass, Karligash Kenjegalieva, Robin C. Sickles [] []

Directional distance functions: Optimal endogenous directions
–Scott E. Atkinson, Mike G. Tsionas [] []

The good, the bad and the technology: Endogeneity in environmental production models
–Subal C. Kumbhakar, Efthymios G. Tsionas [] []

Using information about technologies, markets and firm behaviour to decompose a proper productivity index
–C.J. O’Donnell [] []

Some models for stochastic frontiers with endogeneity
–William E. Griffiths, Gholamreza Hajargasht [] []

Nonparametric instrumental variables estimation for efficiency frontier
–Catherine Cazals, Frédérique Fève, Jean-Pierre Florens, Léopold Simar [] []

Unobserved heterogeneity and endogeneity in nonparametric frontier estimation
–Léopold Simar, Anne Vanhems, Ingrid Van Keilegom [] []

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