Search Results - subject:"Logistic regression"

Combining state-of-the-art row generation methods for the competitive facility location problem with multinomial logit choice rule

Méndez-Vogel, Gonzalo; Marianov, Vladimir; … - In: Omega : the international journal of management science 136 (2025), pp. 1-9

Persistent link: https://www.econbiz.de/10015407891

An optimal model of financial distress prediction : a comparative study between neural networks and logistic regression

Zizi, Youssef; Jamali-Alaoui, Amine; El Goumi, Badreddine; … - In: Risks : open access journal 9 (2021) 11, pp. 1-24

Moroccan economic context over two years. To achieve these objectives, logistic regression and neural networks are used based … predictors, namely interest to sales and return on assets in predicting financial distress. The results show that logistic … regression models obtained by stepwise selection outperform the other models with an overall accuracy of 93.33% two years before …

Persistent link: https://www.econbiz.de/10012704037

Predicting firms' financial distress : an empirical analysis using the F-Score model

Mahfuzur Rahman; Cheong Li Sa; Masud, Md. Abdul Kaium - In: Journal of risk and financial management : JRFM 14 (2021) 5, pp. 1-16

Financial performance of firms is very important to bankers, shareholders, potential investors, and creditors. The inability of firms to meet their liabilities will affect all its stakeholders and will result in negative consequences in the wider economy. The objective of the study is to explore...

Persistent link: https://www.econbiz.de/10012534215

An implementation of ensemble methods, logistic regression, and neural network for default prediction in peer-to-peer lending

Dzik-Walczak, Aneta; Heba, Mateusz - In: Zbornik radova Ekonomskog Fakulteta u Rijeci : časopis … 39 (2021) 1, pp. 163-197

Persistent link: https://www.econbiz.de/10012615873

Unimodal Ordinal Logit : A Logit Model with a Utility-Correction Term Capturing Correlations from Ordinal Responses

Wong, Melvin; Varotto, Silvia; Bierlaire, Michel - 2022

Discrete variables that show a natural ordering across response levels are commonly analyzed based on data collected in surveys and in field observations. These variables follow a natural unimodal probability distribution, as the levels that are closer to the actual chosen level are more likely...

Persistent link: https://www.econbiz.de/10014076941

A Bayesian Generalized Rank Ordered Logit Model : An Empirical Application

Cheng, Haotian; Ng’ombe, John N.; Lambert, Dayton - 2022

Researchers typically use rank ordered logit regression to analyze consumer preference data collected with Best-Worst Scaling (BWS) surveys. We propose a generalized rank ordered logit (GROL) model that accommodates scale and preference heterogeneity. Both the GROL and mixed rank ordered logit...

Persistent link: https://www.econbiz.de/10014077685

A Bayesian Instrumental Variable Model for Multinomial Choice with Correlated Alternatives

Watanabe, Hajime; Maruyama, Takuya - 2022

Endogeneity and correlated alternatives are major concerns to be addressed in travel behavior analysis. However, these issues have been rarely dealt with simultaneously in advanced discrete choice models. This study proposed a multinomial probit model that incorporates the instrumental variable...

Persistent link: https://www.econbiz.de/10014081820

A Differential Analysis for Men and Women's Determinants of Livelihood Diversification in Rural Rain-Fed Region of Pakistan : An Ordered Logit Model (OLGGIT) Approach

Habib, Nusrat; Rankin, Peter; Alauddin, Mohammad; Cramb, R.A - 2022

Gender responsiveness is a crucial element in achieving inclusive economic and developmental growth of an economy. A gender-differentiated analysis in determining livelihood diversification strategies is, therefore, important for developing gender sensitive policies. The study examined and...

Persistent link: https://www.econbiz.de/10014085689

The Non-Markovian Nature of Nested Logit Choice

Li, Selena; Udwani, Rajan - 2022

Discrete choice models are widely used for understanding how customers choose between a variety of substitutable goods. We investigate the relationship between two well studied choice models, the Nested Logit (NL) model and the Markov choice model. Both models generalize the classic Multinomial...

Persistent link: https://www.econbiz.de/10014105263

An empirical analysis of German casino locations

Haucap, Justus; Nedic, Radivoje; Şimşek, Talha - 2022

In this paper we provide an empirical analysis of German casino locations. Due to the "mercantilistic background" of casinos, we assume that casinos are more likely to be found at borders and tourist areas. Although the location decision has been made in the past, we use cross-sectional data at...

Persistent link: https://www.econbiz.de/10012887811