Vector Error Correction Model for Distribution Dynamic State Estimation

This chapter aims to provide insights into the importance of empowering women in entrepreneurship and its potential impact on economic growth. In this study, the authors analyze the influence of women's entrepreneurship on economic growth with a particular focus on Algeria's environment. The research highlights the significant role played by Algerian women in contributing to the country's economic development. To conduct this empirical investigation, they employed five variables: GDP, businesswomen ownership, women in the industrial sector, force labor women, and women's unemployment. The findings shed light on the crucial need to empower women in entrepreneurship and its potential benefits to economic growth 1990 to 2019 using annual data. According to the Johansen test, they found a long-run association between the GDP and the rest of the variables based on the vector error correction model and the co-integration test. The outputs of the VECM model confirmed the first results with a significant and negative coefficient, which means a long-run relationship between the variables.

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Vector Error Correction Model for Distribution Dynamic State Estimation

Cited by 2 publications

References 14 publications

A Comparative Analysis of Multivariate Statistical Time Series Models for Water Quality Forecasting of the River Ganga

A Comparative Analysis of Multivariate Statistical Time Series Models for Water Quality Forecasting of the River Ganga

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