Results 81 to 90 of about 4,503 (210)

A Stata implementation of the Blinder-Oaxaca decomposition

, 2008
The counterfactual decomposition technique popularized by Blinder (1973) and Oaxaca (1973) is widely used to study mean outcome differences between groups. For example, the technique is often used to analyze wage gaps by sex or race.
Jann, Ben
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Determinants of household adoption of clean energy with its rural–urban disparities in Bangladesh

Scientific Reports
This study aims to investigate factors influencing the adoption of clean energy among households in Bangladesh, using Blinder-Oaxaca decomposition and extended probit regression model with data from the 2019 Bangladesh multiple indicator cluster survey ...
Iqramul Haq, Maruf Khan, Sharanon Chakma, Md. Ismail Hossain, Shuvongkar Sarkar, Md. Rayhan Ali Rejvi, Md. Salauddin, Md Mizanur Rahman Sarker   +7 more
doaj   +1 more source

Temporal reliability test of nonconsumptive wildlife recreation benefits constructed from choke price data [PDF]

Choke price data from the 2001 and 2006 National Survey of Fishing, Hunting and Wildlife-Associated Recreation (FHWAR) is used to construct welfare measures for wildlife-watching trips.
Jee W Hwang
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Decomposition and comparative analysis of differences in anxiety between urban and rural Chinese adults: a national cross-sectional study

BMC Public Health
Background Anxiety is a severe global health problem. The long-established urban-rural dichotomy in China has led to unequal development in rural and urban areas, which may result in significant differences in the anxiety of rural and urban China ...
Xuange Sun, Yibo Wu, Juanxia Miao, Xue Wang, Yi Ma, Shuang Zang   +5 more
doaj   +1 more source

Standard Errors for the Blinder-Oaxaca Decomposition [PDF]

The decomposition technique introduced by Blinder (1973) and Oaxaca (1973) is widely used to study outcome differences between groups. For example, the technique is commonly applied to the analysis of the gender wage gap. However, despite the procedure's
Ben Jann
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Oaxaca-Blinder decomposition analysis for the racial disparity in influenza vaccination between Black and White^* KPMAS patients.

, 2019
Oaxaca-Blinder decomposition analysis for the racial disparity in influenza vaccination between Black and White* KPMAS patients.
Michael A. Horberg (486298), Kevin B. Rubenstein (6551657), Alphonse J. Derus (6551660), Bernadette C. Loftus (6551663), Suma Vupputuri (376373)   +4 more
core   +1 more source

The Development of Employers’ Training Investments Over Time – A Decomposition Analysis Using German Establishment Data [PDF]

Using establishment data covering the time period 1997 to 2007, this paper investigates trends of employer-sponsored further training in Germany, with a focus on the share of establishments investing in training.
Katja Goerlitz
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Explaining the increased health care expenditures associated with gastroesophageal reflux disease among elderly Medicare beneficiaries with chronic obstructive pulmonary disease: a cost-decomposition analysis

International Journal of COPD, 2014
Mayank Ajmera,1 Amit D Raval,1 Chan Shen,2 Usha Sambamoorthi1 1Department of Pharmaceutical Systems and Policy, School of Pharmacy, School of Medicine, West Virginia University, Morgantown, WV, USA; 2Department of Biostatistics and Health Services ...
Ajmera M, Raval AD, Shen C, Sambamoorthi U   +3 more
doaj  

Decomposing Wage Distributions Using Recentered Influence Function Regressions

Econometrics, 2018
This paper provides a detailed exposition of an extension of the Oaxaca-Blinder decomposition method that can be applied to various distributional measures.
Sergio P. Firpo, Nicole M. Fortin, Thomas Lemieux   +2 more
doaj   +1 more source

An Extension of the Blinder-Oaxaca Decomposition Technique to Logit and Probit Models [PDF]

The Blinder-Oaxaca decomposition technique is widely used to identify and quantify the separate contributions of group differences in measurable characteristics, such as education, experience, marital status, and geographical differences to racial and ...
Robert W. Fairlie
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