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Monografia przedstawia zaawansowane zastosowania języka R w analizie ekonometrycznej, ze szczególnym uwzględnieniem liniowych modeli ekonometrycznych. Publikacja łączy aspekty teoretyczne z praktycznymi, obejmując implementację algorytmów w R, przetwarzanie zbiorów danych oraz automatyzację raportów w formacie R/Markdown. Autor omawia procesy stochastyczne, metody estymacji i testowania specyfikacji modeli, a także zagadnienia związane z oceną jakości dopasowania modeli do danych. Książka zawiera liczne przykłady kodu w R, ilustrujące modele ekonometryczne, analizy empiryczne oraz metody prognozowania zmiennych ekonomicznych i finansowych. Szczególną wartość stanowi integracja metod ekonometrycznych z narzędziami wizualizacji danych oraz aplikacjami R/Shiny, umożliwiającymi tworzenie interaktywnych systemów prognostycznych. Publikacja jest skierowana do badaczy, analityków danych, studentów kierunków ekonomicznych i finansowych oraz wszystkich osób zainteresowanych nowoczesnymi metodami analizy danych w ekonometrii z wykorzystaniem języka R.
– doktor habilitowany nauk ekonomicznych, profesor Uniwersytetu Łódzkiego, w latach 2012–2016 dyrektor Instytutu Ekonometrii UŁ, w latach 2016–2024 kierownik Katedry Ekonometrii UŁ. Autor monografii i publikacji naukowych w recenzowanych czasopismach. Redaktor naczelny czasopisma „Econometric Research in Finance”. W latach 2002–2016 organizator międzynarodowych konferencji naukowych pod nazwą „Forecasting Financial Markets and Economic Decision-Making (FindEcon)”. Specjalizuje się w modelowaniu i prognozowaniu ekonometrycznym procesów makroekonomicznych i finansowych, a także w zagadnieniach stabilności finansowej, polityki makroostrożnościowej i ryzyka kredytowego.
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