Institutional quality and public spending in Europe: A quantile regression approach

被引:5
|
作者
Barra, Cristian [1 ]
Ruggiero, Nazzareno [1 ,2 ]
机构
[1] Univ Salerno, Dept Econ & Stat DISES, Fisciano, Italy
[2] Univ Salerno, Dept Econ & Stat DISES, Via Giovanni Paolo II 132, I-84084 Fisciano, Italy
关键词
institutional quality; public spending; quantile regressions; FISCAL-POLICY; ECONOMIC-FREEDOM; GROWTH; CORRUPTION; IMPACT; SIZE; EXPENDITURE; INEQUALITY; DEMOCRACY; TAXATION;
D O I
10.1111/ecpo.12248
中图分类号
F [经济];
学科分类号
02 ;
摘要
We appraise the effects of institutional quality on public spending for a set of 27 European countries and 18 Euro-area economies over the 1996-2017 period. While institutions play a weak role in affecting spending once the fixed-effects model is employed, the application of the quantile regression indicates that improved institutional quality mitigates public spending, although the effects crucially depend on the distribution of public expenditure and the sample examined. For both the Euro-area sample and the full sample, we show that better quality of institutions reduces public spending, although the effects become less significant the higher the levels of public spending. Further, for the Euro-area sample, institutions appear to have a stronger role in mitigating public spending. Several robustness tests confirm our findings.
引用
收藏
页码:949 / 1019
页数:71
相关论文
共 50 条
  • [31] Neural networks for quantile claim amount estimation: a quantile regression approach
    Laporta, Alessandro G.
    Levantesi, Susanna
    Petrella, Lea
    ANNALS OF ACTUARIAL SCIENCE, 2024, 18 (01) : 30 - 50
  • [32] Reference values for and interpretation of the Singapore Caregiver Quality of Life Scale: a quantile regression approach
    Cheung, Yin Bun
    Neo, Shirlyn H. S.
    Yang, Grace M.
    Teo, Irene
    Lee, Geok Ling
    Qu, Debra L. M.
    Koh, Audrey R. X.
    Thumboo, Julian
    Wee, Hwee Lin
    JOURNAL OF PATIENT-REPORTED OUTCOMES, 2020, 4 (01)
  • [33] Reference values for and interpretation of the Singapore Caregiver Quality of Life Scale: a quantile regression approach
    Yin Bun Cheung
    Shirlyn H. S. Neo
    Grace M. Yang
    Irene Teo
    Geok Ling Lee
    Debra L. M. Qu
    Audrey R. X. Koh
    Julian Thumboo
    Hwee Lin Wee
    Journal of Patient-Reported Outcomes, 4
  • [34] Determinants of Ecological Footprint: A Quantile Regression Approach
    Ozcan, Kubra Akyol
    SYSTEMS, 2024, 12 (02):
  • [35] Quantile Regression Neural Networks: A Bayesian Approach
    Jantre, S. R.
    Bhattacharya, S.
    Maiti, T.
    JOURNAL OF STATISTICAL THEORY AND PRACTICE, 2021, 15 (03)
  • [36] Decentralized Learning of Quantile Regression: A Smoothing Approach
    Shi, Jianwei
    Wang, Yue
    Zhu, Zhongyi
    Lian, Heng
    JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, 2025,
  • [37] Effect of Capital Controls: A Quantile Regression Approach
    Suh, Jaehyun
    INTERNATIONAL ECONOMIC JOURNAL, 2022, 36 (04) : 530 - 555
  • [38] Inflation dynamics in Uganda: a quantile regression approach
    Anguyo, Francis Leni
    Gupta, Rangan
    Kotze, Kevin
    MACROECONOMICS AND FINANCE IN EMERGING MARKET ECONOMIES, 2020, 13 (02) : 161 - 187
  • [39] Testing heterogeneity in quantile regression: a multigroup approach
    Cristina Davino
    Giuseppe Lamberti
    Domenico Vistocco
    Computational Statistics, 2024, 39 : 117 - 140
  • [40] Testing heterogeneity in quantile regression: a multigroup approach
    Davino, Cristina
    Lamberti, Giuseppe
    Vistocco, Domenico
    COMPUTATIONAL STATISTICS, 2024, 39 (01) : 117 - 140