Results 271 to 280 of about 97,099 (296)

Bias in Conditional and Unconditional Fixed Effects Logit Estimation

Political Analysis, 2001
Fixed-effects logit models can be useful in panel data analysis, whenNunits have been observed forTtime periods. There are two main estimators for such models: unconditional maximum likelihood and conditional maximum likelihood. Judged on asymptotic properties, the conditional estimator is superior.
openaire   +1 more source

Prices, Capacity, and the Entry Decision: A Conditional Logit Analysis

Southern Economic Journal, 1983
An understanding of what potential entrants consider in reaching an entry decision is important in assessing the validity of some rather fundamental hypotheses concerning the behavior of firms faced with an entry threat. The reason is that such hypotheses are based on implicit assumptions concerning what influences the decisions of potential entrants ...
openaire   +1 more source

Discrete Choice Labor Supply : Conditional Logit vs. Random Coefficient Models [PDF]

, 2004
Estimating labor supply functions using a discrete rather than a continuous specification has become increasingly popular in recent years. On basis of the German Socioeconomic Panel (GSOEP) I test which specification of discrete choice is the appropriate model for estimating labor supply: the standard conditional logit model or the random coefficient ...
openaire   +1 more source

Election outcomes and economic conditions: An application of a logit model

Journal of Economics and Finance, 1993
In this paper the author examines the impact of macroeconomic conditions on the probability of the incumbent party winning a gubernatorial election. Using a sample of 265 gubernatorial elections held during the 1970–1988 period, the findings of this study indicate that the incumbent party’s probability of victory is not significantly affected by either
openaire   +2 more sources

Tools for Estimation of Grouped Conditional Logit Models [PDF]

, 2006
In many applications of conditional logit models the choice set and the characteristics of that set are identical for groups of decision makers. In that case is possible to obtain a more computationally efficient estimation of the model by grouping the data and employing a new user-written command, "multin".
openaire  

The Robustness of Conditional Logit for Binary Response Panel Data Models with Serial Correlation

Journal of Econometric Methods, 2023
Do Won Kwak, Robert S Martin, Jeffrey M Wooldridge   +2 more
exaly  

Crimes and Moving Decisionin the United States: A Conditional Logit Approach

2018
This paper examines the relationship between crime and an individual’s decision to migrate to another state. The study is based in the United States and spans from 2011 to 2015. The samples used in this study are interstate migrants. The findings reveal that the ratios of violent and property crimes between the origin and the destination are associated
openaire   +1 more source

Conditional Logit Model

2020
openaire   +1 more source

Analyzing freeway crash severity using a Bayesian spatial generalized ordered logit model with conditional autoregressive priors

Accident Analysis and Prevention, 2019
Qiang Zeng, Weihua Gu, Huiying Wen
exaly  

Conditional Logit Model

2004
openaire   +1 more source