scholarly journals Subjective well-being and the family: Results from an ordered probit model with multiple random effects

2005 ◽  
Vol 30 (3) ◽  
pp. 749-761 ◽  
Author(s):  
Rainer Winkelmann
Keyword(s):  
Random Effects ◽  
Probit Model ◽  
Well Being ◽  
Ordered Probit ◽  
Ordered Probit Model ◽  
Subjective Well Being ◽  
The Family

scholarly journals Subjective Well-Being and Job Types: New Evidence From China

2019 ◽  
Vol 16 (1) ◽  
pp. 24-31
Author(s):  
Meng Yan ◽  
Kai Shi
Keyword(s):  
Public Sector ◽  
Household Income ◽  
Probit Model ◽  
Well Being ◽  
Ordered Probit ◽  
Ordered Probit Model ◽  
Subjective Well Being ◽  
The Public ◽  
New Evidence ◽  
Practical Implications

Abstract Research purpose. The job types might be potential determinants of subjective well-being (SWB), which is seldom investigated in the current literature. This article examines this relationship by collecting data from the Chinese Household Income Project in 2013 to explore this relationship. Approach. In line with existing studies on SWB, we apply the ordered probit model and further estimate the effects of different job types on SWB. Findings. This article demonstrates that individuals employed by Sino-foreign joint enterprises tend to have the lowest SWB. On the contrary, those employed by the public sector and private enterprises are more likely to acquire higher satisfaction. Practical implications. To conclude, job types are closely linked with SWB and job types should be incorporated as a crucial factor when further analysing the SWB.

A random effects ordered probit model for rating migrations

2010 ◽  
Vol 7 (3) ◽  
pp. 140-147 ◽  
Author(s):  
Rasha Alsakka ◽  
Owain ap Gwilym
Keyword(s):  
Random Effects ◽  
Probit Model ◽  
Ordered Probit ◽  
Ordered Probit Model

scholarly journals Firm-related training tracks: a random effects ordered probit model

2003 ◽  
Vol 22 (6) ◽  
pp. 581-589 ◽  
Author(s):  
Wim Groot ◽  
Henriëtte Maassen van den Brink
Keyword(s):  
Random Effects ◽  
Probit Model ◽  
Ordered Probit ◽  
Ordered Probit Model

Do the heterogeneous determinants of life satisfaction affect differently across borrowers of diverse credit sources? A propensity score approach

2018 ◽  
Vol 45 (8) ◽  
pp. 1142-1158 ◽  
Author(s):  
Tiken Das ◽  
Manesh Choubey
Keyword(s):  
Life Satisfaction ◽  
Propensity Score ◽  
Probit Model ◽  
Ordered Probit ◽  
Primary Data ◽  
Ordered Probit Model ◽  
Future Research ◽  
Content Type ◽  
Credit Access ◽  
Physical Assets

Purpose The purpose of this paper is to evaluate the non-monetary effect of credit access by providing an econometric framework which controls the problem of selection bias. Design/methodology/approach The study is conducted in Assam, India and uses a quasi-experiment design to gather primary data. The ordered probit model is used to evaluate the non-monetary impact of credit access. The paper uses a propensity score approach to check the robustness of the ordered probit model. Findings The study confirms the positive association of credit access to life satisfaction of borrowers. It is found that, in general, rural borrower’s life satisfaction is influenced by the ability and capacity to work, the value of physical assets of the borrowers as well as some other lenders’ and borrowers’ specific factors. But, the direction of causality of the factors influencing borrowers’ life satisfaction is remarkably different across credit sources. Research limitations/implications The study argues to provide productive investment opportunities to semiformal and informal borrowers while improving their life satisfaction score. Although the results are adjusted for selection and survivorship biases, it is impossible with the available data to assess which non-income factors explain the findings, and therefore this limitation is left to future research. Originality/value The study contributes to the literature of rural credit by assessing the probable differences among formal, semiformal and informal credit sources with respect to non-monetary impacts.

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