Из-за периодической блокировки нашего сайта РКН сервисами, просим воспользоваться резервным адресом:
Загрузить через ClipSave.ruУ нас вы можете посмотреть бесплатно (Stata16): How to Perform Panel Sub Sample-Analysis или скачать в максимальном доступном качестве, которое было загружено на ютуб. Для скачивания выберите вариант из формы ниже:
Если кнопки скачивания не
загрузились
НАЖМИТЕ ЗДЕСЬ или обновите страницу
Если возникают проблемы со скачиванием, пожалуйста напишите в поддержку по адресу внизу
страницы.
Спасибо за использование сервиса savevideohd.ru
@CrunchEconometrix simplifies how to perform panel sub-sample analysis in Stata using an approach that beginners can understand. It further shows the estimation, and interpretation of panel sub-sample models. Sub-sample analysis is common to pooled (panel) data analysis. Panel data or longitudinal data (the older terminology) refer to a data set containing observations on multiple phenomena over multiple time periods. Thus, it has two dimensions: spatial (cross-sectional) and temporal (time series). In general, we can have two types of panels: micro and macro panels. Micro panel: Surveys (usually a large) with sample of countries, households or firms or industries over (usually a short) period of time. Macro panel: Consists of (usually a large) number of countries or regions over (usually a large) number of years. Again, depending upon whether the panels include missing values or not, we can have two varieties: balanced and unbalanced panel. The balanced panel does not have any missing values, whereas the unbalanced have missing values. There are two more models, depending upon the relative size of space and time, short and long panels. Short panel: number of time periods (T) is less than the number of cross-section units (N) and Long panel: number of time periods (T) is longer than the number of cross-section units (N). Click on this link https://cruncheconometrix.com.ng/shop/ to obtain the Crunch_Engee4.xlsx data and dofile used in the video upon a token payment. Click on this link https://cruncheconometrix.com.ng/shop/ to obtain my published papers. They are FREE but you have to CART and CHECKOUT. References and Readings: Asteriou and Hall (2016) Applied Econometrics, 3ed; Wooldridge, J. M. (1995). Econometric Analysis of Cross Section and Panel Data. London, England: The MIT Press, Cambridge, Massachusetts; Baltagi, B.H. (1995) Econometric Analysis of Panel Data. New York, NY: John Wiley and Sons; Hsiao, C. (1986) Analysis of Panel Data, Econometric Society Monographs No. 11. Cambridge, United Kingdom: Cambridge University Press; Adeleye, N., Eboagu, C. (2019). “Evaluation of ICT Development and Economic Growth in Africa”, NETNOMICS: Economic Research and Electronic Networking, 20(1), 31-53, DOI: 10.1007/s11066-019-09131-6 http://dx.doi.org/10.1007/s11066-019-... Adeleye, N., Osabuohien, E., Bowale, E. (2017) “The Role of Institutions in the Finance-Inequality Nexus in Sub-Saharan Africa”, Journal of Contextual Economics, 137(2017), 173 – 192, Duncker & Humblot, Berlin ….and several journal articles. Follow up with soft-notes and updates from CrunchEconometrix: Playlists: / cruncheconometrix Website: https://cruncheconometrix.com.ng Blog: https://cruncheconometrix.blogspot.co... Facebook: / cruncheconometrix YouTube Custom URL: / cruncheconometrix Twitter: / crunchmetrix Reddit: / crunchmetrix