Search Results - subject:"logistic regression."

Energy poverty and health : micro-level evidence from Germany

Buchner, Martin; Rehm, Miriam - 2025

This paper aims to understand the health effects of energy poverty in Germany using SOEP panel data from 2010 to 2020. Linear probability models and fixed effects ordered logit models reveal a consistently negative relationship of three expendituresbased energy poverty indicators with general...

Persistent link: https://www.econbiz.de/10015328678

Energy poverty and health : micro-level evidence from Germany

Buchner, Martin; Rehm, Miriam - 2025

Persistent link: https://www.econbiz.de/10015373004

A penalized U-MIDAS multinomial logit model with applications to corporate credit ratings

Jiang, Cuixia; Sun, Junwei; Xu, Qifa - 2025

Persistent link: https://www.econbiz.de/10015372679

Unveiling the diverse efficacy of artificial neural networks and logistic regression : a comparative analysis in predicting financial distress

Sabek, Amine - In: Croatian review of economic, business and social … 9 (2023) 1, pp. 16-32

) compared to the Logistic Regression (LR), and this will be done by relying on the data of 12 Algerian companies for the period … cannot be regarded as superior to Logistic Regression (LR) in all statuses. Instead, it is accurate to affirm that specific …

Persistent link: https://www.econbiz.de/10014372938

The evolution of reforms and the state of competition in public procurement in the Philippines

Navarro, Adoracion M. - 2023

In the literature on Philippine public procurement, knowledge gaps exist in terms of coverage of period of reform implementation and scope of reform application. This study helps close these gaps by analyzing Philippine public procurement history up to the years of application of the 2016...

Persistent link: https://www.econbiz.de/10014458513

Some insights about the applicability of logistic factorisation machines in banking

Slabber, Erika; Verster, Tanja; De Jongh, Riaan - In: Risks : open access journal 11 (2023) 3, pp. 1-21

Logistic regression is a very popular binary classification technique in many industries, particularly in the financial … study and compared with logistic regression. The separation and prediction performance of factorisation machines are then … compared to logistic regression and random forests by means of three case studies covering a recommender system, credit card …

Persistent link: https://www.econbiz.de/10014246272

Analysis of factors influencing USA households' choice of ethnic restaurants

Bakhtavoryan, Rafael; Suchini, Chrystian; Lopez, Jose; … - In: Journal of agribusiness in developing and emerging … 15 (2025) 1, pp. 173-184

Persistent link: https://www.econbiz.de/10015272000

Dynamic regression discontinuity under treatment effect heterogeneity

Hsu, Yu-Chin; Shen, Shu - In: Quantitative economics : QE ; journal of the … 15 (2024) 4, pp. 1035-1064

Regression discontinuity is a popular tool for analyzing economic policies or treatment interventions. This research extends the classic static RD model to a dynamic framework, where observations are eligible for repeated RD events and, therefore, treatments. Such dynamics often complicate the...

Persistent link: https://www.econbiz.de/10015190090

Spatio-temporal prediction of freeway congestion patterns using discrete choice methods

Metzger, Barbara; Loder, Allister; Kessler, Lisa; … - In: EURO journal on transportation and logistics 13 (2024), pp. 1-19

Predicting freeway traffic states is, so far, based on predicting speeds or traffic volumes with various methodological approaches ranging from statistical modeling to deep learning. Traffic on freeways, however, follows specific patterns in space-time, such as stop-and-go waves or mega jams....

Persistent link: https://www.econbiz.de/10015193743

The determinants of successful energy subsidy reforms : a logistic regression analysis

Gasim, Anwar; Agnolucci, Paolo; Ekins, Paul; Yaseen, Lama - 2024

Persistent link: https://www.econbiz.de/10015177282