Estimating State-Contingent Technologies | Efficiency and Productivity Measurement In the Presence of Risk

Sriram Shankar

ISBN 10: 3846597422 / ISBN 13: 9783846597422

Published by LAP LAMBERT Academic Publishing, 2011

About this Item

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.

Seller Inventory # 106714463

Bibliographic Details

• Title: Estimating State-Contingent Technologies | Efficiency and Productivity Measurement In the Presence of Risk
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2011
• Language: English
• ISBN 10: 3846597422
• ISBN 13: 9783846597422
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 16D millimeters 220 millimeters width by 150 millimeters height by 16 millimeters depth
• Weight: 399 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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.

About the Author

The 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 respectively. The author’s research interests include economics of uncertainty, economic measurement and Bayesian econometrics.