Job match analysis using the Tobit model

2021 ◽  
Vol 32 (6) ◽  
pp. 1343-1352
Author(s):  
Jangsik Cho ◽  
Jeonghwan Ko
Keyword(s):  
Tobit Model ◽  
Match Analysis ◽  
Job Match

Job Match and Housing Tenure Self-Selection

2019 ◽  
Author(s):  
N. Edward Coulson ◽  
David Carson Jinkins
Keyword(s):  
Housing Tenure ◽  
Job Match ◽  
Self Selection

scholarly journals Good fences make good neighbors: Collaborating with families to create employment opportunity

2021 ◽  
pp. 1-5
Author(s):  
Bethany Chase
Keyword(s):  
Parent Involvement ◽  
Developmental Disabilities ◽  
Supported Employment ◽  
Employment Opportunity ◽  
Job Seekers ◽  
Employment Success ◽  
Job Match ◽  
Employment Supports ◽  
Job Coaches ◽  
Employment Specialists

BACKGROUND: Collaboration between supported employment providers and parents/guardians of job seekers with intellectual and/or developmental disabilities is key to employment success. However, parents are often concerned about the efficacy of employment supports or the capacity of the professionals providing the service. Likewise, job coaches may consider certain kinds of parent involvement as detrimental to a successful job match. OBJECTIVE: This article provides context for why parents/guardians may be distrustful of the employment process, as well as why employment specialists may struggle to build strong partnerships with parents/guardians. METHODS: This article will discuss how to implement practices that not only welcome the critical input of families, but also maintain healthy and well-defined boundaries that affirm the autonomy, professionalism, and competence of the worker.

Letter to the Editor on “Trends in the Physical Medicine and Rehabilitation Match: Analysis of NRMP Data from 2007 to 2018”

PM&R ◽  
2021 ◽  
Author(s):  
Danielle L. Sarno ◽  
Robin D. Ulep ◽  
Nicole B. Katz ◽  
Oranicha Jumreornvong ◽  
Katherine M. Bryan ◽  
...  
Keyword(s):  
Physical Medicine ◽  
Match Analysis ◽  
Physical Medicine And Rehabilitation ◽  
Letter To The Editor

Semiparametric estimation of Nelson–Olson simultaneous Tobit model

2021 ◽  
pp. 1-14
Author(s):  
Xianbo Zhou ◽  
Lianhua Luo ◽  
Ying Tao ◽  
Zhewen Pan
Keyword(s):  
Semiparametric Estimation ◽  
Tobit Model

Modeling bicycle crash costs using big data: A grid-cell-based Tobit model with random parameters

2021 ◽  
Vol 91 ◽  
pp. 102953 ◽  
Author(s):  
Kun Xie ◽  
Kaan Ozbay ◽  
Di Yang ◽  
Chuan Xu ◽  
Hong Yang
Keyword(s):  
Big Data ◽  
Grid Cell ◽  
Tobit Model ◽  
Random Parameters

scholarly journals Factors Influencing Smallholder Crop Diversification: A Case Study of Manicaland and Masvingo Provinces in Zimbabwe

2016 ◽  
Vol 3 (2) ◽  
pp. 1 ◽  
Author(s):  
Lighton Dube
Keyword(s):  
Smallholder Farmers ◽  
Diversity Index ◽  
Tobit Model ◽  
Crop Diversification ◽  
Factors Associated ◽  
Head Of Household ◽  
The Mean ◽  
Female Headed Households ◽  
Extension Support

<p>This study analyzes the degree of crop diversification and factors associated with crop diversification among 479 smallholder farmers in Manicaland and Masvingo provinces of Zimbabwe. The Herfindahl index used to estimate diversification, while the Tobit model evaluated factors associated with crop diversification.  The mean crop diversity index is 0.54. On average households in Nyanga and Bikita are the most diversified with indices of 0.48 and 0.49 respectively. The most specialized households are in Mutasa and Chiredzi with indices of 0.62. An analysis by gender shows that male headed households are slightly more diversified than female headed households. The Tobit model indicates that gender of head of household, education, number of livestock units, access to irrigation, membership to a farmers group, access to markets, farming experience, farms on flat terrain, farmer to farm extension, routine extension, agro-ecological zone and household income are significant contributors to increasing crop diversification. In turn, crop specialization is significantly associated with off-farm employment, soil fertility, farmers who are happy with extension contacts per year, farmers trained using the farmer field school approach and farmers who receive NGO extension support.</p>

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