Estimation of Non-Stationary Social Accounting Matrix Coefficients with Supply-Side Information
By Amos Golan, S. Vogel. 2000
64 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Management, Monitoring, Policy and Law
View Paper: https://www.semanticscholar.org/paper/bd4922a801cd2f5744b4ddafaa8bbf0ab057202d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Sherman Robinson
- Thomas Heckelei
- A. Zimmermann
- Kostas Karantininis
- Amos Golan
- A. Robilliard
- J. Round
- Ian Sue Wing
In Management, Monitoring, Policy and Law
- Sherman Robinson
- Kostas Karantininis
- Thomas Heckelei
- A. Zimmermann
- Amos Golan
- A. Robilliard
- J. Round
- Ian Sue Wing
Citations in the corpus
- Updating and Estimating a Social Accounting Matrix Using Cross Entropy Methods (2001, background): “Golan and Vogel (2000) describe an errors in equations approach to the SAM estimation problem.”
- Information and Entropy Econometrics - A Review and Synthesis (2008, background): “Other examples within economics include social accounting (and input–output) balancing from cross section and/or time-series data (Golan and Vogel, 2000), unordered multinomial choice and other discrete choice problems, as well as management problems like the “traveling sales-person,” airline routin”
- Information-based estimators for the non-stationary transition probability matrix: an application to the Danish pork industry (2002, methodology): “Instrumental Variables Generalised Cross–Entropy Estimator We show here the generalised cross–entropy (GCE) estimator for the NSTPM similar to (Golan and Vogel, 2000).”
- Structural Change of European Dairy Farms- A Cross-Regional Analysis (2012, methodology): “Particularly, an instrumental variables generalised cross-entropy approach according to Golan and Vogel (2000) and Karantininis (2002) and a simultaneous generalised cross-entropy estimation framework with the transition probabilities being represented as multinomial logit functions of coefficients ”