Extensions of the Pesaran, Shin and Smith (2001) bounds testing procedure

Bertsatos, Georgios; Sakellaris, Plutarchos; Tsionas, Efthymios G.

doi:10.1007/s00181-021-02041-3

Cited by 10 publications

(5 citation statements)

References 38 publications

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“…Stationarity checks are not mandatory for applying NARDL models, as suggested by previous studies ( Abbasi et al, 2022 ; Amin et al, 2022 ). However, as highlighted by some studies, this model is not suitable for second-order integrals because the results of the bound F statistic become invalid in the case of I (2; Alqahtani et al, 2020 ; Syed, 2021a , b ; Syed et al, 2021b , 2022 ; Bertsatos et al, 2022 ; Xia et al, 2022 ). Hence, this study used three different unit root tests, the DF-GLS test proposed by Elliot et al (1996) , Augmented Dickey Fuller (ADF) Dickey and Fuller (1981) , and Phillips and Perron (PP) Phillips and Perron (1988) to test variable integrals.…”

Section: Analysis Results and Interpretationmentioning

confidence: 99%

RETRACTED: An empirical analysis of the impact of gender inequality and sex ratios at birth on China’s economic growth

Wu¹,

Ali

Zhang

et al. 2022

Front. Psychol.

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The contribution of women to China’s economic growth and development cannot be overemphasized. Women play important social, economic, and productive roles in any economy. China remains one of the countries in the world with severe gender inequality and sex ratio at birth (SRB) imbalance. Severe gender inequality and disenfranchisement of girls with abnormally high sex ratios at birth reflect deep-rooted sexism and adversely affect girls’ development. For China to achieve economic growth, women should not be ignored and marginalized so that they can contribute to the country’s growth, but the sex ratio at birth needs to be lowered because only women can contribute to growth. Thus, this study empirically predicts an asymmetric relationship between gender inequality, sex ratio at birth and economic growth, using NARDL model over the period 1980–2020. The NARDL results show that increases in gender inequality and sex ratio at birth significantly reduce economic growth in both the short and long term, while reductions in gender inequality and sex ratio at birth significantly boost economic growth in both the short and long term. Moreover, the results show the significant contribution of female labor force participation and female education (secondary and higher education) to economic growth. However, infant mortality rate significantly reduced economic growth. Strategically, the study recommends equal opportunities for women in employment, education, health, economics, and politics to reduce gender disparities and thereby promote sustainable economic growth in China. Moreover, policymakers should introduce new population policy to stabilize the sex ratio at birth, thereby promoting China’s long-term economic growth.

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Section: Analysis Results and Interpretationmentioning

confidence: 99%

RETRACTED: An empirical analysis of the impact of gender inequality and sex ratios at birth on China’s economic growth

Wu¹,

Ali

Zhang

et al. 2022

Front. Psychol.

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“…Indeed, Shin et al ( 2014 ) considers is decomposed into and around zero, distinguishing between positive and negative changes in the rate of growth of . They follow Pesaran et al ( 2001 ) and Bertsatos et al ( 2022 ), and write Eq. 10 in the error correction form as: where for , , , , for , , for and is the nonlinear ECM, where and are the associated asymmetric long-run parameters.…”

Section: Empirical Methodologymentioning

confidence: 82%

The symmetric and asymmetric impacts of external debt on economic growth in Tunisia: evidence from linear and nonlinear ARDL models

Aloulou¹,

Kalai²,

Helali³

2023

SN Bus Econ

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This paper aims to empirically examine the symmetric and asymmetric impact of external debt on economic growth in Tunisia between 1965 and 2019. The empirical methodology used is based on the one hand on the linear autoregressive distributed lag (ARDL) model of Pesaran et al. (Econ Soc Monogr 31:371–413. 10.1371/journal.pone.0184474, 2001), and on the other hand, on the nonlinear ARDL (NARDL) model of Shin et al. (Nucleic Acids Res 42(11):90. 10.1038/s41477-021-00976-0, 2014). The results show that the asymmetry assumption is valid for the long term. In addition, the empirical analysis shows a negative impact of positive external debt variation and a positive impact of negative external debt variation. This suggests that economic growth is more sensitive and favorable to decreases than to increases in external debt, which in turn means that maintaining debt at relatively high levels is detrimental to Tunisian economic growth.

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“…To examine the short-run and long-run relationship between the macroeconomic indicators and the stock market, the study employs the Autoregressive Distributed Lags (ARDL) method. Initially introduced and developed by Pesaran & Smith (1995) and further refined by (Bertsatos et al, 2022). the ARDL method has gained widespread usage due to its numerous advantages over traditional statistical methods in assessing cointegration and short/long-run relationships.…”

Section: Autoregressive Distributed Lagsmentioning

confidence: 99%

The Role of Agriculture in Economic Development in Somalia

Mohamud,

Marof,

Mohamed

et al. 2023

IJARBSS

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This study investigates the relationship between agriculture and economic growth in Somalia over the period from 1980 to 2020. The research objectives encompassed describing the role of agriculture employment, agriculture exports, and crop production in contributing to economic development during the specified time frame. To achieve these objectives, the study employed the Autoregressive Distributed Lag (ARDL) model, a form of regression analysis that utilizes historical data to identify relationships between variables. The dependent variable chosen to represent economic development was the Gross Domestic Product (GDP), while the independent variables included the agriculture employment rate, agriculture exports, and crop production. Data analysis was performed using E-views software, and descriptive statistics and graphical representations were utilized to present the findings effectively. Secondary data were sourced from reputable institutions such as the World Bank, International Monetary Fund (IMF), and the Statistical, Economic and Social Research and Training Centre for Islamic Countries (SESRIC) for the extensive period from 1980 to 2020. The results revealed a positive relationship between the agricultural sector and Somalia's GDP, indicating that an increase in agricultural activities positively impacted the country's economic growth. These findings highlight the significance of agriculture as a driving force behind economic development in Somalia during the examined period. As such, policymakers and stakeholders should consider investing in and promoting the agriculture sector to foster sustainable economic growth in the country.

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Extensions of the Pesaran, Shin and Smith (2001) bounds testing procedure

Cited by 10 publications

References 38 publications

RETRACTED: An empirical analysis of the impact of gender inequality and sex ratios at birth on China’s economic growth

RETRACTED: An empirical analysis of the impact of gender inequality and sex ratios at birth on China’s economic growth

The symmetric and asymmetric impacts of external debt on economic growth in Tunisia: evidence from linear and nonlinear ARDL models

The Role of Agriculture in Economic Development in Somalia

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