Examining tourists' long-distance transportation mode choices using a Multinomial Logit regression model

2015 ◽  
Vol 15 ◽  
pp. 115-121 ◽  
Author(s):  
Christer Thrane
Keyword(s):  
Regression Model ◽  
Multinomial Logit ◽  
Long Distance ◽  
Transportation Mode ◽  
Logit Regression ◽  
Multinomial Logit Regression ◽  
Logit Regression Model

scholarly journals Factors Influencing Level of Satisfaction with Growth Enhancement Support Scheme among Farm Families in Kaduna State, Nigeria

1970 ◽  
Vol 19 (1) ◽  
pp. 57-65
Author(s):  
S Umar ◽  
PO Oteikwu ◽  
H Shuaibu ◽  
PK Duniya ◽  
IW Tambari
Keyword(s):  
Regression Model ◽  
Multinomial Logit ◽  
Descriptive Statistics ◽  
Growth Enhancement ◽  
Farm Families ◽  
Logit Regression ◽  
Factors Influencing ◽  
Multinomial Logit Regression ◽  
Level Of Satisfaction ◽  
Logit Regression Model

This study assessed factors influencing the level of satisfaction with the Growth Enhancement Scheme among farm families in Kaduna State, Nigeria. Two hundred and ninety-six beneficiaries were selected randomly from four randomly selected wards. Descriptive statistics and multinomial logit regression model were used to analyze the data obtained. Results computed from a Likert Scale indicated that majority of the farmers were either satisfied (47.6%) or highly satisfied (14.3%) with the scheme; while 28.6% were dissatisfied and 4.1% were highly dissatisfied. The level of satisfaction with the scheme increased among families with higher farming experience (coefficient = 0.05) and education (coefficient = 0.008); while it decreased with age (coefficient = -0.394) and extension visit (coefficient= -0.328). The study recommended that the scheme be extended for another cycle of five years to consolidate on its achievements and alleviate the bottlenecks before handing over to the private sector.Keywords :GESS, inputs, satisfaction, subsidy.

Who Makes a Compromise? Adopting Pledges in Czech Coalition Agreements

2020 ◽  
Vol 28 (5) ◽  
pp. 728-743
Author(s):  
Petra Vodová
Keyword(s):  
Statistical Analysis ◽  
Multinomial Logit ◽  
Issue Salience ◽  
Logit Regression ◽  
Multinomial Logit Regression

Translating party pledges into coalition agreements is a crucial goal of after-election coalition negotiations. Full adoption is the best result for the bargaining party, while limited adoption is a kind of compromise forced by coalition partners, and non-adoption can be seen as a defeat. The question of what undermines the compromise and defeat in coalition agreements is, however, rarely answered. This article formulates hypotheses concerning the effect of consensual pledges among coalition parties, and party and voter-issue salience on parties’ ability to adopt their pledges and adopt them fully or partially. The effect of party level characteristics is considered. The analysis is provided on a new dataset of narrow Czech coalition party pledges in three governments established after elections in 2006, 2010 and 2013. Multinomial logit regression is used for the statistical analysis.

scholarly journals IMPACT OF A PREVIOUS AUDIT ON TAX AGGRESSIVENESS OF A FIRM TAXPAYER

2019 ◽  
Vol 1 (3) ◽  
pp. 15
Author(s):  
Ivan Rona Penata
Keyword(s):  
Multinomial Logit ◽  
Effective Tax Rate ◽  
Tax Rate ◽  
Tax Aggressiveness ◽  
Logit Regression ◽  
Multinomial Logit Regression ◽  
Audit Result ◽  
Tax Audit ◽  
Return Data

This study aims to analyze the effect of a previous tax audit on tax aggressiveness of a firm taxpayer who submits Overpayment Annual Tax Return. The degree of tax aggressiveness itself uses Delta Effective Tax Rate as a proxy, generated from Annual Tax Return data from 2011 to 2016. Using multinomial logit regression as a method, this study found that a previous Tax Audit and tax audit result made a firm prefer to choose a positive Delta Effective Tax Rate.

scholarly journals An analysis of women’s self-help groups’ involvement in microfinance program in India

2019 ◽  
Vol 13 (2) ◽  
pp. 2-11
Author(s):  
Gaurav Joshi
Keyword(s):  
Regression Model ◽  
Family Type ◽  
Content Type ◽  
Logit Regression ◽  
Self Help ◽  
Participation Of Women ◽  
Significant Difference ◽  
Self Help Groups ◽  
Logit Regression Model ◽  
The Impact

Purpose The purpose of this is to classify the social and economic factors which impact the involvement of women in self-help groups (SHGs) for their economic as well as social empowerment. Design/methodology/approach The research has been conducted in Nainital district of Uttarakhand (India) in 2018. Primary data have been gathered from women respondent only on factors relating to the ownership of asset, housing characteristics and other demographic details. Both SHG and non-SHG women members have been chosen as key informants during the survey. Multi-stage purposive and stratified random sampling has been used for the selection of respondents and SHGs. The logit regression model has been formulated to describe the causes that influence the participation of women in SHGs. Also, an empowerment index has been constructed to measure the effect of SHGs on women empowerment. Findings The results show that factors including age, education, family type and distance from the market have a significant impact on the participation of women in SHGs. Also, there is a significant difference in both these values which suggests that the value of the empowerment index gets significantly increased after joining the SHGs. Practical implications Analytically derived factors have been used to develop an empowerment index. Hence, the present research is valuable for marketing practitioners, entrepreneurs and professionals from the development sector who intend to work amongst SHGs, primarily with women. The paper is valuable for academic researchers in this area so that the limited body of knowledge, on the empowerment index, could be developed. Originality/value The present research is unique because the authors did not find work, especially in the context of rural India, in the said area. Factors impacting the participation of women in SHGs along with the impact of participation on empowerment have been explored using the logit regression model, leading to the development of an empowerment index.

scholarly journals Wage mobility in Europe. A comparative analysis using restricted multinomial logit regression

2008 ◽  
Vol 44 (1) ◽  
pp. 115-129 ◽  
Author(s):  
Dimitris Pavlopoulos ◽  
Ruud Muffels ◽  
Jeroen K. Vermunt
Keyword(s):  
Comparative Analysis ◽  
Multinomial Logit ◽  
Logit Regression ◽  
Multinomial Logit Regression

Functional PLS logit regression model

2007 ◽  
Vol 51 (10) ◽  
pp. 4891-4902 ◽  
Author(s):  
M. Escabias ◽  
A.M. Aguilera ◽  
M.J. Valderrama
Keyword(s):  
Regression Model ◽  
Logit Regression ◽  
Logit Regression Model
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