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19.12.2022, 12:00

Seminarium doktoranckie "Analysis of the labor market using machine-learning" [19.12.2022]

Zapraszamy na ostatnie w tym roku kalendarzowym seminarium doktoranckie. Podczas spotkania swoje badanie zaprezentuje mgr Maciej Nasiński.

Spotkanie odbędzie się 19 grudnia 2022 r. o godz. 15:00 w formule hybrydowej: stacjonarnie w Sali A409 na Wydziale Nauk Ekonomicznych oraz za pośrednictwem platformy Zoom.

Link do spotkania: https://uw-edu-pl.zoom.us/j/91533433049?pwd=OUNzYzdXUjZsYmRGM1pRSWdMbmYvQT09

Meeting ID: 915 3343 3049

Access code: 400347

Osoby zainteresowane wzięciem udziału w seminariach lub prezentacją swoich badań, zapraszamy do kontaktu z prof. dr. hab. Janem Jakubem Michałkiem oraz Piotrem Manderą.

 

 

Abstrakt:

The Labour Market and connected with its problems are socially essential topics. The main objective is the application of machine-learning tools to improve the estimation quality and expand the research area for the Labour Market. My series of papers is more than implementing existing solutions, as new solutions are proposed. The newly invented cat2cat procedure helps to unify an inconsistently coded categorical variable in a panel dataset. The cat2cat procedure extends the scope of the available statistical analyses in a panel dataset with inconsistently coded categorical variables, which are ordinarily removed or force dataset aggregation. The cat2cat procedure was implemented for the occupational variable (The International Standard Classification of Occupations), which was later used in the regression model for the panel dataset without losing degrees of freedom and assessment quality. Another application of machine-learning tools is estimating the impact of minimum wages. The result of classification models enables the probabilistic representation of being exposed to the minimum wage, which allows the inclusion of the unemployed to the analysis.