An extended logit-normal regression with application to human development index data

Vasconcelos, Julio Cezar Souza; Prataviera, Fábio; Ortega, Edwin M. M.; Cordeiro, Gauss M.

doi:10.1080/03610918.2022.2045497

Cited by 3 publications

(2 citation statements)

References 15 publications

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“…(Bi et al, 2020) introduced the ecological footprint and Gini coefficient to make green and equity corrections to the human sustainable development index and so on. (Vasconcelos et al, 2022) propose the odd log-logistic logit-normal regression and apply this new regression model to HDI data.…”

Section: Introductionmentioning

confidence: 99%

Impact of R&D Investment and Network Penetration on Human Development: Evidence from China

Qin

Zhao

2023

Soc Indic Res

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This paper measures the human development indices of 31 inland provinces (municipalities) in China in a continuous time series during 2000-2017 according to the 2010 HDI compilation method. It uses a geographically and temporally weighted regression model for conducting an empirical study on the effects of R&D investment and network penetration on human development in each province (municipality) of China. There is significant spatial and temporal heterogeneity in the impact of R&D investment and network penetration on human development across provinces (municipalities) in China due to differences in resource endowments and economic and social development. For R&D investment, eastern provinces (municipalities) have mostly positive effects on human development, and central regions have mostly weak positive or negative effects. In contrast, western provinces (municipalities) show different development paths, with weak positive effects in the early stage and significant positive effects after 2010. Most provinces (municipalities) show a continuous and increasing positive effect for network penetration. The marginal contributions of this paper are mainly in improving the shortcomings in research perspectives, empirical methods, and research data in the study of human development influencing factors in China relative to the study of HDI itself in terms of measurement or application dimensions. This paper constructs a human development index for China, analyzes its spatial and temporal distribution, and explores the impact of R&D investment and network penetration on human development in China, with the hope of providing lessons for China and developing countries to promote the level of human development and cope with the pandemic. KeywordsR&D investment • Network penetration • Human development level • Geographically and temporally weighted regression model * Hongli Zhang

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Section: Introductionmentioning

confidence: 99%

Impact of R&D Investment and Network Penetration on Human Development: Evidence from China

Qin

Zhao

2023

Soc Indic Res

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“…sebelum dan setelah krisis keuangan: analisis bayesian untuk model data panel. BerikutnyaVasconcelos et al (2022) meneliti tentang regresi logit-normal yang diperluas dengan aplikasi pada data IPM. (1) dengan Yit merupakan nilai variabel respon pada unit observasi ke-i dan waktu ke-t, X1it, X2it, …, Xkit merupakan nilai variabel prediktor pada unit observasi ke-i dan waktu ke-t, β0 merupakan parameter intersep atau titik potong antara sumbu tegak Y dan garis fungsi linier nilai Yit , β1, …,βk merupakan koefisien slope atau koefisien arah atau koefisien kemiringan dan εit merupakan kekeliruan atau galat atau komponen error pada unit observasi ke-i dan waktu ke-t(Mayastuti et al, 2014).…”

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Regresi Data Panel untuk Mengetahui Faktor-Faktor yang Mempengaruhi IPM di Kabupaten/Kota Provinsi DIY

Supandi¹,

Yulianti²,

Fauzy

2022

statistika

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The Human Development Index (HDI) is a regional or national welfare index based on three aspects, namely a long and healthy life, knowledge, and a decent standard of living. This study aims to determine the factors that affect the HDI of Regency/City in the Province of the Special Region of Yogyakarta (DIY) in 2016-2021. These factors include poverty rates, average length of schooling, gross regional domestic product, and health complaints. The analysis used is panel data regression. The influencing factors are the variable of poverty level, average length of schooling and gross regional domestic product.

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A new quantile regression model with application to human development index

Cordeiro,

Rodrigues,

Prataviera

et al. 2023

Comput Stat

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An extended logit-normal regression with application to human development index data

Cited by 3 publications

References 15 publications

Impact of R&D Investment and Network Penetration on Human Development: Evidence from China

Impact of R&D Investment and Network Penetration on Human Development: Evidence from China

Regresi Data Panel untuk Mengetahui Faktor-Faktor yang Mempengaruhi IPM di Kabupaten/Kota Provinsi DIY

A new quantile regression model with application to human development index

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