000			02692nam a22002897i 4500
999			_c11946 _d11946
005			20200217093336.0
008			200217s2019 enka|||| |||| 00| 0 eng d
020			_a9781107687653
040			_aEG-NcFUE _erda
082	0	4	_223 _a658.515 _bR.C.M
100	1		_aSickles, Robin, _eauthor
245	1	0	_aMeasurement of productivity and efficiency : _btheory and practice / _cRobin C. Sickles, Rice University, Texas ; Valentin Zelenyuk, University of Queensland, Australia.
264		1	_aCambridge, United Kingdom: _aNew York, NY : _bCambridge University Press _c2019.
264		4	_c©2019
300			_axxviii, 601 pages : _billustrations ; _c23 cm.
336			_2rdacontent _atext
337			_2rdamedia _aunmediated
338			_2rdacarrier _avolume
504			_aIncludes bibliographical references (pages 541 -587) and indexes
505		0	_aProduction theory: primal approach -- Production theory: dual approach -- Efficiency measurement -- Productivity indexes: Part 1 -- Aggregation -- Functional forms -- Productivity indexes: part 2 -- Envelopment-type estimators -- Statistical analysis for DEA & FDH: Part 1 -- Statistical analysis for DEA & FDH: Part 2 -- Cross-sectional stochastic frontiers -- SF models-first generation panel approaches -- SF models-second generation approaches -- Endogeneity -- Dynamic models -- Shape restrictions and model averaging -- Measurement, KLEMS, and other data -- Afterword -- Bibliography.
520			_aMethods and perspectives to model and measure productivity and efficiency have made a number of important advances in the last decade. Using the standard and innovative formulations of the theory and practice of efficiency and productivity measurement, Robin C. Sickles and Valentin Zelenyuk provide a comprehensive approach to productivity and efficiency analysis, covering its theoretical underpinnings and its empirical implementation, paying particular attention to the implications of neoclassical economic theory. A distinct feature of the book is that it presents a wide array of theoretical and empirical methods utilized by researchers and practitioners who study productivity issues. An accompanying website includes methods, programming codes that can be used with widely available software like MATLAB (R) and R, and test data for many of the productivity and efficiency estimators discussed in the book. It will be valuable to upper-level undergraduates, graduate students, and professionals.
650		0	_aLabor productivity$xMeasurement.
650		0	_aIndustrial efficiency _xMeasurement _xMathematical models.
650		0	_aPerformance _xManagement
700	1		_aZeleni︠u︡k, Valentyn _eauthor.
942			_2ddc _cBK