Results 261 to 270 of about 7,525 (292)
Some of the next articles are maybe not open access.
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
EM algorithms for ordered probit models with endogenous regressors
Econometrics Journal, 2009Summary: We propose an EM algorithm to estimate ordered probit models with endogenous regressors. The proposed algorithm has a number of computational advantages in comparison to direct numerical maximization of the (limited information) log-likelihood function.
Kawakatsu, Hiroyuki, Largey, Ann G.
openaire +1 more source
A random effects ordered probit model for rating migrations
Finance Research Letters, 2010Abstract Employing a random effects ordered probit model, this paper examines the sources of heterogeneity in sovereign credit ratings in emerging economies. The analysis uses data from six rating agencies for 90 countries. The model highlights the importance of considering the cross-section error, which captures country-specific heterogeneity, in ...
Rasha Alsakka, Owain ap Gwilym
openaire +1 more source
A Note on the Relationship of the Ordered and Sequential Probit Models to the Multinomial Probit Model [PDF]
In this note, I show that the ordered and sequential probit models are special cases of the multinomial probit model where the disturbance terms in the latent variables degenerate or those variances converge to zero at a certain rate.
openaire
Specification tests in ordered logit and probit models
Econometric Reviews, 1997In 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
Bayesian analysis of the ordered probit model with endogenous selection
Journal of Econometrics, 2008zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Munkin, Murat K., Trivedi, Pravin K.
openaire +5 more sources
An ordered probit model of Morningstar individual stock ratings
Applied Financial Economics Letters, 2008This article analyses the overall ratings given to individual companies listed in the ‘Morningstar Stocks 2005’, using information provided on the company in that publication. We conduct our analysis using an ordered probit model. We find that the moat size and business risk variables identified by Morningstar are important determinants of ratings ...
Robert Brooks, Shelley Claire Naylor
openaire +1 more source
A bivariate cumulative probit regression model for ordered categorical data
Statistics in Medicine, 1995AbstractThis paper proposes a latent variable regression model for bivariate ordered categorical data and develops the necessary numerical procedure for parameter estimation. The proposed model is an extension of the standard bivariate probit model for dichotomous data to ordered categorical data with more than two categories for each margin.
openaire +2 more sources
Impact of demographic variables on women’s economic empowerment: An ordered probit model
Journal of Women & Aging, 2017The present study aimed to empirically examine the demographic variables that determine women's economic empowerment. A sample of 500 married women between 21 and 49 years old (Mage = 35.49, SD = 7.66) was conveniently selected from district Multan (Pakistan). Control over economic resources was used as a proxy for women's economic empowerment. Ordered
Syeda, Azra Batool +2 more
openaire +2 more sources
Modelling sovereign credit ratings: Neural networks versus ordered probit
Expert Systems with Applications, 2006Sovereign credit ratings are becoming increasingly important both within a financial regulatory context and as a necessary prerequisite for the development of emerging capital markets. Using a comprehensive dataset of rating agencies and countries over the period 1989-1999, this paper demonstrates that artificial neural networks (ANN) represent a ...
Julia A. Bennell +3 more
openaire +2 more sources

