Results 261 to 270 of about 14,150,903 (296)

The use and impact of business advice by SMEs in Britain: an empirical assessment using logit and ordered logit models [PDF]

open access: possibleApplied Economics, 2000
This study assesses the effect of differences in types of client on the use and impact of business advice by SMEs in Britain using new survey evidence from the Cambridge ESRC Centre for Business Research Survey of 1997. The survey, covering over 2500 respondents, is the largest and most definitive assessment available in Britain.
Robert Bennett, Paul Robson
openaire   +1 more source
Some of the next articles are maybe not open access.

Related searches:

Logit and Probit: Ordered and Multinomial Models

Journal of the American Statistical Association, 2003
(2003). Logit and Probit: Ordered and Multinomial Models. Journal of the American Statistical Association: Vol. 98, No. 463, pp. 775-776.
openaire   +1 more source

Ordered logit model for residential electricity demand in Korea

Energy Economics, 1993
Abstract In this study, we apply the ordered logit model to estimate the individual household electricity demand in Korea, using the energy census data conducted by Korea Energy Economics Institute in 1990. Our analysis is based on the disaggregate micro data, while most of the other studies on residential electricity demand use aggregate data.
exaly   +2 more sources

Testing for state dependence in the fixed-effects ordered logit model

Economics Letters, 2023
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Francesco Bartolucci   +2 more
openaire   +3 more sources

Efficiency Gains in Rank‐ordered Multinomial Logit Models

Oxford Bulletin of Economics and Statistics, 2017
AbstractThis paper considers estimation of discrete choice models when agents report their ranking of the alternatives (or some of them) rather than just the utility maximizing alternative. We investigate the parametric conditional rank‐ordered Logit model. We show that conditions for identification do not change even if we observe ranking.
Arie Beresteanu, Federico Zincenko
openaire   +1 more source

Specification tests in ordered logit and probit models

Econometric Reviews, 1997
In this paper, I study the application of various specification tests to ordered logit and probit models with heteroskedastic errors, with the primary focus on the ordered probit model. The tests are Lagrange multiplier tests, information matrix tests, and chi-squared goodness of fit tests.
openaire   +1 more source

A review of estimators for the fixed-effects ordered logit model [PDF]

open access: possible, 2011
It is well-known that the dummy variable estimator for the fixed-effects ordered logit model is inconsistent when T, the dimension of the panel, is fixed. This talk will review a range of alternative fixed-effects ordered logit estimators that are based on Chamberlain's fixed-effects estimator for the binary logit model.
Arne Risa Hole   +2 more
openaire  

A framework for the interpretation of first-order interaction in logit modeling.

Psychological Bulletin, 1991
Several suggestions have been tendered for interpreting first-order interaction in log-linear analysis. Occasionally these methods result either in a loss of information or in results that are difficult to grasp on an intuitive level. It is argued that interpreting effect parameters in terms of odds ratios provides an elegant and intuitively appealing ...
openaire   +2 more sources

Determinants of Residential Satisfaction: Ordered Logit vs. Regression Models

Growth and Change, 1999
Residential satisfaction is not only an important component of individuals' quality of life but also determines the way they respond to residential environment. An understanding of the factors that facilitate a satisfied or dissatisfied response can play a critical part in making successful housing policies.
openaire   +1 more source

Ordered LOGIT Model approach for the determination of financial distress.

Bulletin de la Societe des sciences medicales du Grand-Duche de Luxembourg, 2010
Nowadays, as a result of the global competition encountered, numerous companies come up against financial distresses. To predict and take proactive approaches for those problems is quite important. Thus, the prediction of crisis and financial distress is essential in terms of revealing the financial condition of companies.
openaire   +1 more source

Home - About - Disclaimer - Privacy