Obtaining any Wald statistic you want
No abstract is available for this item.
- repec:sbe:breart:v:12:y:1992:i:2:a:2990 is not listed on IDEAS
- Jean-Marie Dufour & Alain Trognon & Purevdorj Tuvaandorj, 2017.
"Invariant tests based on M -estimators, estimating functions, and the generalized method of moments,"
Taylor & Francis Journals, vol. 36(1-3), pages 182-204, March.
- Jean-Marie Dufour & Alain Trognon, 2000. "Invariant Tests Based on M-Estimators, Estimating Functions and the Generalized Method of Moments," Econometric Society World Congress 2000 Contributed Papers 1420, Econometric Society.
- Jean-Marie Dufour & Alain Trognon & Purevdorj Tuvaandorj, 2015. "Invariant tests based on M-estimators, estimating functions, and the generalized method of moments," CIRANO Working Papers 2015s-27, CIRANO.
- Marcel G. Dagenais, 1992. "Pièges et limitations de l'analyse micro-économétrique," Économie et Prévision, Programme National Persée, vol. 102(1), pages 1-9.
- Goh, Kim-Leng & King, Maxwell L., 1996. "Modified Wald tests for non-linear restrictions: A cautionary tale," Economics Letters, Elsevier, vol. 53(2), pages 133-138, November.
- Francisco J. Goerlich Gisbert, 1992. "Un test alternativo de la hipótesis de sustitución intertemporal del trabajo," Investigaciones Economicas, Fundación SEPI, vol. 16(2), pages 259-280, May.
- Karp, Larry S & Perloff, Jeffrey M, 1989. "Estimating Market Structure and Tax Incidence: The Japanese Television Market," Journal of Industrial Economics, Wiley Blackwell, vol. 37(3), pages 225-239, March.
- Karp, Larry & Perloff, Jeffrey M, 1987. "Estimating market structure and tax incidence: the Japanese television market," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt8769c17g, Department of Agricultural & Resource Economics, UC Berkeley.
- Albers, C.J. & Critchley, F. & Gower, J.C., 2011. "Applications of quadratic minimisation problems in statistics," Journal of Multivariate Analysis, Elsevier, vol. 102(3), pages 714-722, March.
- Pasi Holm & Elina Somervuori, 1997. "Structural Unemployment in Finland," Discussion Papers 136, Government Institute for Economic Research Finland (VATT).
- Lung-fei Lee & Jihai Yu, 2012. "The C(α)-type gradient test for spatial dependence in spatial autoregressive models," Letters in Spatial and Resource Sciences, Springer, vol. 5(3), pages 119-135, October.
- Alessandra Canepa & Raymond O'Brien, 2000. "The Size and Power of Bootstrap Tests for Linear Restrictions in Misspecified Cointegrating Relationships," Econometric Society World Congress 2000 Contributed Papers 1807, Econometric Society.
- Dastoor, Naorayex, 2009. "The perceived framework of a classical statistic: Is the non-invariance of a Wald statistic much ado about null thing?," Working Papers 2009-25, University of Alberta, Department of Economics.
- Naorayex K Dastoor, 2008. "A simple explanation for the non-invariance of a Wald statistic to a reformulation of a null hypothesis," Economics Bulletin, AccessEcon, vol. 3(62), pages 1-10.
- Kemp, Gordon C. R., 2001. "Invariance and the Wald test," Journal of Econometrics, Elsevier, vol. 104(2), pages 209-217, September.
- Kemp, Gordon C R, 2000. "Invariance and the Wald Test," Economics Discussion Papers 2887, University of Essex, Department of Economics.
- Lu, Zeng-Hua & King, Maxwell L., 2004. "A Wald-type test of quadratic parametric restrictions," Economics Letters, Elsevier, vol. 83(3), pages 359-364, June.
- Helen Popper, 1995. "Term premia comovement in German, Japanese, and U.S. domestic markets," Open Economies Review, Springer, vol. 6(1), pages 49-62, January.
- Sbordone, Argia M., 2005. "Do expected future marginal costs drive inflation dynamics?," Journal of Monetary Economics, Elsevier, vol. 52(6), pages 1183-1197, September.
- Argia M. Sbordone, 2005. "Do expected future marginal costs drive inflation dynamics?," Staff Reports 204, Federal Reserve Bank of New York.
- repec:ebl:ecbull:v:3:y:2008:i:62:p:1-10 is not listed on IDEAS
- Joel L. Horowitz, 1996. "Bootstrap Methods in Econometrics: Theory and Numerical Performance," Econometrics 9602009, EconWPA, revised 05 Mar 1996.
- Alexander, W. Robert J. & Hansen, Paul & Owen, P. Dorian, 1996. "Inference on productivity differentials in multi-sector models of economic growth," Journal of Development Economics, Elsevier, vol. 51(2), pages 315-325, December.
When requesting a correction, please mention this item's handle: RePEc:eee:ecolet:v:21:y:1986:i:1:p:35-40. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu)
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.
Follow series, journals, authors & more
New papers by email
Subscribe to new additions to RePEc
Public profiles for Economics researchers
Various rankings of research in Economics & related fields
Who was a student of whom, using RePEc
Curated articles & papers on various economics topics
Upload your paper to be listed on RePEc and IDEAS
Blog aggregator for economics research
Cases of plagiarism in Economics
Job Market Papers
RePEc working paper series dedicated to the job market
Pretend you are at the helm of an economics department
Services from the StL Fed
Data, research, apps & more from the St. Louis Fed