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All of 3 for:
Econometrics. Advances in Applied Data Analysis, 2023, vol. 27, nr 1 sorted by table of contents

1	Berezka Kateryna M., Kovalchuk Olha The Application of Association Rules to Detect the Effects of Vaccinations against COVID-19 in the EU-27. Preliminary estimates Econometrics. Advances in Applied Data Analysis, 2023, vol. 27, nr 1, s. 1-16
2	Bouabsa Wahiba The Estimating of the Conditional Density with Application to the Mode Function in Scalar-On-Function Regression Structure: Local Linear Approach with Missing at Random Econometrics. Advances in Applied Data Analysis, 2023, vol. 27, nr 1, s. 17-32
3	Josheski Dushko, Apostolov Mico The Prospect Theory and First Price Auctions: an Explanation of Overbidding Econometrics. Advances in Applied Data Analysis, 2023, vol. 27, nr 1, s. 33-74

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