Results 51 to 60 of about 94,700 (202)

Conditional Logit with one Binary Covariate: Link between the Static and Dynamic Cases [PDF]

Disentangling state dependence from unobserved heterogeneity is a common issue in economics. It arises for instance when studying transitions between different states on the labor market.
L. DAVEZIES, R. AEBERHARDT
core  

Effects of distributional assumptions on conditional estimates from Mixed Logit models

, 2007
Arbeitsberichte Verkehrs- und Raumplanung ...
Hess, Stephane, Rose, John M.
openaire   +2 more sources

A hyperbolic transformation for a fixed effects logit model [PDF]

In this paper, a simple transformation is proposed for the fixed effects logit model, using which some valid moment conditions including the first-order condition for one of the conditional MLE proposed by Chamberlain (1980) can be generated.
Yoshitsugu Kitazawa
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Relaxing the IIA Assumption in Locational Choice Models: A Comparison Between Conditional Logit, Mixed Logit, and Multinomial Probit Models [PDF]

, 2003
This paper estimates a locational choice model to assess the demand for local public services, using a data set where individuals chooses between 26 municipalities within a local labor market. We assess the importance of the IIA assumption by comparing the predictions of three difference models; the conditional logit (CL) model, the mixed logit (MXL ...
Dahlberg, Matz, Eklöf, Matias
openaire   +2 more sources

Legal Logit Model for predicting judicial disagreement in Indian courts

Frontiers in Artificial Intelligence
Once a case reaches the Supreme Court on appeal, the justices may either affirm or reverse the judgment of the lower court. Forecasting such judicial disagreement is important not only for predicting outcomes but also for understanding the judge-specific
Sivaranjani N, Jayabharathy J
doaj   +1 more source

Estimating the rivalness of state-level inward FDI [PDF]

Decentralized fiscal decision making is more likely to be optimal if regional tax bases are non-rival, in the sense that one region's gain is no other relevant region's loss.
Kurt Schmidheiny, Marius Brülhart
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Misspecification and Conditional Maximum Likelihood Estimation [PDF]

, 1983
Recently White (1982) studied the properties of Maximum Likelihood estimation of possibly misspecified models. The present paper extends Andersen (1970) results on Conditional Maximum Likelihood estimators (CMLE) to such a situation.
Vuong, Quang H.
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Concavity of the Conditional Mle for Logit Panel Data Models with Imputed Covariates

, 2023
In estimating logistic regression models, convergence of the maximization algorithm is critical, however, this may fail. Numerous bias correction methods for maximum likelihood estimates of the parameters have been conducted for cases of complete data sets and also longitudinal models. For binary response fixed effects panel data model, the conditional
Opeyo Peter Otieno, Weihu Cheng
openaire   +1 more source

Analysis of Covariance With Qualitative Data [PDF]

In data with a group structure, incidental parameters are included to control for missing variables. Applications include longitudinal data and sibling data.
Gary Chamberlain
core  

Adaptive Bayesian Estimation of Conditional Densities

, 2016
We consider a non-parametric Bayesian model for conditional densities. The model is a finite mixture of normal distributions with covariate dependent multinomial logit mixing probabilities.
Norets, Andriy, Pati, Debdeep
core   +1 more source