Поиск по каталогу |
(строгое соответствие)
|
- Профессиональная
- Научно-популярная
- Художественная
- Публицистика
- Детская
- Искусство
- Хобби, семья, дом
- Спорт
- Путеводители
- Блокноты, тетради, открытки
Private Returns to Education and Determinants of Earnings. An Econometric Analysis
В наличии
Местонахождение: Алматы | Состояние экземпляра: новый |
Бумажная
версия
версия
Автор: Muhammad Afzal
ISBN: 9783659180446
Год издания: 2014
Формат книги: 60×90/16 (145×215 мм)
Количество страниц: 176
Издательство: LAP LAMBERT Academic Publishing
Цена: 42817 тг
Положить в корзину
Способы доставки в город Алматы * комплектация (срок до отгрузки) не более 2 рабочих дней |
Самовывоз из города Алматы (пункты самовывоза партнёра CDEK) |
Курьерская доставка CDEK из города Москва |
Доставка Почтой России из города Москва |
Аннотация: The main objective of this study was to explore the major factors that affect the earnings and to estimate the returns to education (RTEdu.) for the workforce of educational institutions in Lahore-Pakistan. Primary data were collected by the researcher himself from a sample of 8327 respondents. The factors such as workforce education, experience, training, computer use, gender, marital status, institution sector from where the respondent has completed his/her Secondary School Certificate, nature of job, family background, and family status are found to be contributing to the earnings of the workforce of various categories of the educational institutions.The RTEdu. for the workforce of schools, colleges and universities increases, on average, by 12.4, 15.8, and 12.5 percent, respectively for every one year increase in schooling. The RTEdu. has been found higher for the workforce of various categories of private sector as compared to the workforce of various categories of public sector educational institutions. The results of this study provide a clear support to the human capital theory. The concavity in experience-earning profile is also observed.
Ключевые слова: returns to education, econometric analysis, Earning differentials