Adaptive Truncated Estimaton Applied To Maximum Entropy
AbstractAn adaptive estimator is proposed to optimally estimate unknown truncation points of the error support space for the general linear model. The adaptive estimator is specified analytically to minimize a risk function based on the squared error loss measure. It is then empirically applied to a generalized maximum entropy estimator of the linear model using bootstrapping, allowing the information set of the model itself to determine the truncation points. Monte Carlo simulations are used to demonstrate performance of the adaptive entropy estimator relative to maximum entropy estimation coupled with alternative truncation rules and to ordinary least squares estimation. A food demand application is included to demonstrate practical implementation of the adaptive estimator.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by Western Agricultural Economics Association in its series 2001 Annual Meeting, July 8-11, 2001, Logan, Utah with number 36169.
Date of creation: 2001
Date of revision:
Research Methods/ Statistical Methods;
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Koenker, Roger & Machado, José A.F. & Skeels, Christopher L. & Welsh, Alan H., 1994. "Momentary Lapses: Moment Expansions and the Robustness of Minimum Distance Estimation," Econometric Theory, Cambridge University Press, vol. 10(01), pages 172-197, March.
- Guido W. Imbens & Richard H. Spady & Phillip Johnson, 1998.
"Information Theoretic Approaches to Inference in Moment Condition Models,"
Econometrica, Econometric Society,
Econometric Society, vol. 66(2), pages 333-358, March.
- Guido W. Imbens & Phillip Johnson & Richard H. Spady, 1995. "Information Theoretic Approaches to Inference in Moment Condition Models," NBER Technical Working Papers 0186, National Bureau of Economic Research, Inc.
- Guido W Imbens, Phillip Johnson & Richard H Spady, . "Information theoretic approaches to inference in moment condition model," Economics Papers W12., Economics Group, Nuffield College, University of Oxford.
- Imbens, G.W. & Johnson, P. & Spady, R.H., 1995. "Information Theoretic Approaches to Inference in Movement Condition Models," Economics Papers 99, Economics Group, Nuffield College, University of Oxford.
- Guido W. Imbens & Phillip Johnson & Richard H. Spady, 1995. "Information Theoretic Approaches to Inference in Moment Condition Models," Harvard Institute of Economic Research Working Papers 1736, Harvard - Institute of Economic Research.
- Iain Fraser, 2000. "An application of maximum entropy estimation: the demand for meat in the United Kingdom," Applied Economics, Taylor & Francis Journals, Taylor & Francis Journals, vol. 32(1), pages 45-59.
- Golan, Amos & Judge, George G. & Miller, Douglas, 1996. "Maximum Entropy Econometrics," Staff General Research Papers 1488, Iowa State University, Department of Economics.
- Alice Nakamura & Masao Nakamura, 1983. "Part-Time and Full-Time Work Behaviour of Married Women: A Model with a Doubly Truncated Dependent Variable," Canadian Journal of Economics, Canadian Economics Association, vol. 16(2), pages 229-57, May.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search).
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.