Methods for Evaluating Econometric Models and Their Importance in Analyzing Economic Processes

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1. Verfasser: Xolmuhammadova, Sabrina
Format: Recurso digital
Veröffentlicht: Zenodo 2026
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author Xolmuhammadova, Sabrina
author_facet Xolmuhammadova, Sabrina
contents <p><span lang="EN-US">This article examines the theoretical foundations of econometric model estimation, the main estimation methods, and their importance in analyzing economic processes. The study analyzes classical estimation techniques such as the Ordinary Least Squares method, the Maximum Likelihood method, and the Instrumental Variables method. In addition, the practical significance of econometric model quality criteria and statistical tests is discussed. The article focuses on the effective application of econometric models in economic analysis and forecasting.</span></p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_18397602
institution Zenodo
language
publishDate 2026
publisher Zenodo
record_format zenodo
spellingShingle Methods for Evaluating Econometric Models and Their Importance in Analyzing Economic Processes
Xolmuhammadova, Sabrina
econometrics, econometric model, estimation methods, regression analysis, statistical tests, economic processes.
<p><span lang="EN-US">This article examines the theoretical foundations of econometric model estimation, the main estimation methods, and their importance in analyzing economic processes. The study analyzes classical estimation techniques such as the Ordinary Least Squares method, the Maximum Likelihood method, and the Instrumental Variables method. In addition, the practical significance of econometric model quality criteria and statistical tests is discussed. The article focuses on the effective application of econometric models in economic analysis and forecasting.</span></p>
title Methods for Evaluating Econometric Models and Their Importance in Analyzing Economic Processes
topic econometrics, econometric model, estimation methods, regression analysis, statistical tests, economic processes.
url https://doi.org/10.5281/zenodo.18397602