Brown Bag SEMinar+ November 26th, 2020 15:00 – 16:00 ZOOM

Приглашаем всех сотрудников и студентов ШЭМ присоединиться к третьей встрече научного семинара Brown Bag в ближайший четверг – 26 ноября. На семинаре выступит аспирант ШЭМ (2 год обучения) Станислав Рогачев. В своём докладе он представит предварительные результаты исследования, над которым работает в данный момент: интерсекторальный подход к прогнозированию доли занятого населения с помощью нелинейных функций.

Запись семинара также проводится и будет доступна в папке материалов семинаров

Расписание семинара:

Семинар пройдет на платформе ZOOM

https://us02web.zoom.us/j/86361701148?pwd=dmhmRUJEbzBtUE1aRC9jVzJCbEJIQT09

Conference ID: 863 6170 1148

Code: 922407

November 26

15:00 - 16:00 // Research in progress presentation

Title:  Nonlinearity in Labour Share Forecasting – Intersectoral Approach

Author: Stanislav Rogachev, 2nd-year PHD student, HSE St.Petersburg

Area of Scientific Interests: Labour Economics, Econometrics

Abstract: We forecast labour share for 18 KLEMS-classified economic sectors, 12 European countries. The choice is driven by data availability. For each sector 11 specifications of time component in CES production function with factor augmenting technical change are tested. This includes comparing models with linear, nonlinear time and the same with structural breaks. Then, three degrees of models ‘power’ are proposed to characterize whether a model is consistent and valid for prediction. Here, residuals stationarity and autocorrelation are investigated as well as regressors and structural breaks statistical significance. Finally, 3D cube is visualized (dimensions: country-sector-model) to outline predictive power of models valid for forecasting.

To sum up main results, models with structural break in nonlinear time component show better predictive power according to the derived criteria. Next, overall labour share decline cannot be stated as only 7 sectors out of 18 have decreasing trend in more than one third of cases (countries). Additionally, each country sectors are grouped by LS forecast average value into four interval categories. The modal values of these intervals are derived to obtain general understanding of average future value for a certain sector. The last but not the least, forecasts with identical LS trends were combined for the purpose of generalizing.

Новости и анонсы семинаров: https://t.me/BBSEMinar

Календарь мероприятий: 

https://calendar.google.com/calendar/u/0/embed?src=lrrvusehk59oii9l4paccvdot8@group.calendar.google.com&ctz=Europe/Moscow