TY  - THES
A1  - Radjabov, Botir
T1  - Essays in Price Measurement with Statistical and Machine Learning Methods
N2  - Price indices play a vital role in economic measurement as they reflect price levels
and measure price fluctuations. Price level measures are used with macroeconomic
indicators to express them in real terms. These measures are also used to index wages,
rents, and pensions. Furthermore, they are used as a reference for monetary policy
conducted by central banks. Therefore, the provision of accurate price indices is one
of the most important goals of National Statistical Institutes (NSIs), and numerous
studies have been devoted to this goal. 

This cumulative dissertation also contributes to this goal. It contains four chapters,
each of which represents a separate research. The first two studies are devoted to
the treatment of seasonal products by using different price index methods. The first
research is co-authored with Ken van Loon. The third research is dedicated to finding
the most accurate method to make price predictions for missing products. The fourth
research is focused on the treatment of products by using different price index methods
when products’ quality characteristics are available.
KW  - CPI; Seasonal Products; Multilateral Methods; Axiomatic Tests; Statistics; Machine Learning; GEKS and Weighted GEKS; Tree Based Methods; Regularization Methods;
Y1  - 2025
UR  - https://ubt.opus.hbz-nrw.de/frontdoor/index/index/docId/2801
UR  - https://nbn-resolving.org/urn:nbn:de:hbz:385-1-28013
ER  -