Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3846597422 ISBN 13: 9783846597422
Da: preigu, Osnabrück, Germania
EUR 66,40
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Estimating State-Contingent Technologies | Efficiency and Productivity Measurement In the Presence of Risk | Sriram Shankar | Taschenbuch | 256 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783846597422 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3846597422 ISBN 13: 9783846597422
Da: Revaluation Books, Exeter, Regno Unito
EUR 156,72
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Aggiungi al carrelloPaperback. Condizione: Brand New. 256 pages. 8.66x0.58x5.91 inches. In Stock.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Nov 2011, 2011
ISBN 10: 3846597422 ISBN 13: 9783846597422
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 79,00
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Empirical application of state-contingent approach has proved difficult, not because this approach is intractable, but because in the state-contingent framework it is difficult to estimate the production technology in the face of endogenous producers responding to uncertainty. One of the important reasons for this difficulty is that most of data required for applying standard methods of estimation are lost in the potentially unrealized states of the world. We develop an econometric methodology in order to estimate state-contingent technologies. Furthermore, we demonstrate how our state-contingent model can be used to decompose output shortfalls into inefficiency and risk components. Finally, we apply our econometric estimation technique to Philippine rice data. 256 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3846597422 ISBN 13: 9783846597422
Da: moluna, Greven, Germania
EUR 63,42
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Shankar SriramThe author has a strong background in economic theory, Econometrics, Mathematics, Statistics and Computer Science. He earned his B.Tech, ME and PhD degrees from NIT Calicut, IISc Bangalore and University of Queensland r.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Nov 2011, 2011
ISBN 10: 3846597422 ISBN 13: 9783846597422
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 79,00
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Empirical application of state-contingent approach has proved difficult, not because this approach is intractable, but because in the state-contingent framework it is difficult to estimate the production technology in the face of endogenous producers responding to uncertainty. One of the important reasons for this difficulty is that most of data required for applying standard methods of estimation are lost in the potentially unrealized states of the world. We develop an econometric methodology in order to estimate state-contingent technologies. Furthermore, we demonstrate how our state-contingent model can be used to decompose output shortfalls into inefficiency and risk components. Finally, we apply our econometric estimation technique to Philippine rice data.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 256 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3846597422 ISBN 13: 9783846597422
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 79,95
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Empirical application of state-contingent approach has proved difficult, not because this approach is intractable, but because in the state-contingent framework it is difficult to estimate the production technology in the face of endogenous producers responding to uncertainty. One of the important reasons for this difficulty is that most of data required for applying standard methods of estimation are lost in the potentially unrealized states of the world. We develop an econometric methodology in order to estimate state-contingent technologies. Furthermore, we demonstrate how our state-contingent model can be used to decompose output shortfalls into inefficiency and risk components. Finally, we apply our econometric estimation technique to Philippine rice data.