


Registros recuperados: 23  

 

 

 

 

 

 

 


Golan, Amos; Judge, George G.; Perloff, Jeffrey M.. 
Using a maximum entropy technique, we estimate the market shares of each firm in an industry using the available government summary statistics such as the fourfirm concentration ratio (C4) and the HerfindahlHirschmann Index (HHI). We show that our technique is very effective in estimating the distribution of market shares in 20 industries. Our results provide support for the recent practice of using HHI rather than C4 as the key explanatory variable in many market power studies, if only one measure is to be used. 
Tipo: Working or Discussion Paper 
Palavraschave: Industrial Organization; Marketing. 
Ano: 1995 
URL: http://purl.umn.edu/25081 
 

 

 

 


Grendar, Marian; Judge, George G.. 
Criterion choice is such a hard problem in information recovery and in estimation and inference. In the case of inverse problems with noise, can probabilistic laws provide a basis for empirical estimator choice? That is the problem we investigate in this paper. Large Deviations Theory is used to evaluate the choice of estimator in the case of two fundamental situationsproblems in modelling data. The probabilistic laws developed demonstrate that each problem has a unique solutionempirical estimator. Whether other members of the empirical estimator family can be associated a particular problem and conditional limit theorem, is an open question. 
Tipo: Working or Discussion Paper 
Palavraschave: Research Methods/ Statistical Methods. 
Ano: 2006 
URL: http://purl.umn.edu/25084 
 


Judge, George G.; Swanson, E.R.. 
Agricultural economists are often interested in characterizing or summarizing how economic processes and institutions have changed through time as well as what paths they are likely to take in future time periods. Given this interest or objective, we are therefore interested in methods of analysis that will accomplish these purposes and that are simple to apply. Within this context the major purpose of this paper is to discuss the concept of a Markov chain process and to indicate its potential usefulness in analyzing problems where detailed timeordered data exist over some time span. As a particular vehicle for the discussion, a limited example concerning the past and potential size distribution of a sample of hogproducing firms in central Illinois will... 
Tipo: Journal Article 
Palavraschave: Research Methods/ Statistical Methods. 
Ano: 1962 
URL: http://purl.umn.edu/22465 
 

 


Grendar, Marian; Judge, George G.. 
Methods, like Maximum Empirical Likelihood (MEL), that operate within the Empirical Estimating Equations (E3) approach to estimation and inference are challenged by the Empty Set Problem (ESP). We propose to return from E3 back to the Estimating Equations, and to use the Maximum Likelihood method. In the discrete case the Maximum Likelihood with Estimating Equations (MLEE) method avoids ESP. In the continuous case, how to make MLEE operational is an open question. Instead of it, we propose a Patched Empirical Likelihood, and demonstrate that it avoids ESP. The methods enjoy, in general, the same asymptotic properties as MEL. 
Tipo: Working or Discussion Paper 
Palavraschave: Maximum likelihood; Estimating equations; Empirical likelihood; Research Methods/ Statistical Methods. 
Ano: 2010 
URL: http://purl.umn.edu/56691 
 

 
Registros recuperados: 23  


