Results 261 to 270 of about 7,525 (292)
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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.
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EM algorithms for ordered probit models with endogenous regressors

Econometrics Journal, 2009
Summary: 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.
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A random effects ordered probit model for rating migrations

Finance Research Letters, 2010
Abstract 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
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A Note on the Relationship of the Ordered and Sequential Probit Models to the Multinomial Probit Model [PDF]

open access: possibleEconomics Bulletin, 2004
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.
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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.
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Bayesian analysis of the ordered probit model with endogenous selection

Journal of Econometrics, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Munkin, Murat K., Trivedi, Pravin K.
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An ordered probit model of Morningstar individual stock ratings

Applied Financial Economics Letters, 2008
This 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
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A bivariate cumulative probit regression model for ordered categorical data

Statistics in Medicine, 1995
AbstractThis 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.
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Impact of demographic variables on women’s economic empowerment: An ordered probit model

Journal of Women & Aging, 2017
The 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
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Modelling sovereign credit ratings: Neural networks versus ordered probit

Expert Systems with Applications, 2006
Sovereign 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
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