Economic Transition and Growth: A Replication

Schnurbus, Joachim; Haupt, Harry; Meier, Verena

doi:10.1002/jae.2544

Cited by 82 publications

(56 citation statements)

References 7 publications

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“…After that, Schnurbus et al (2017) further modify the original algorithm. The steps of the club clustering algorithm used herein are as follows [26]:…”

Section: Club Clustering Algorithmmentioning

confidence: 99%

“…In order to avoid missing any club members and to get as few clubs as possible, it is necessary to conduct a two-two merger convergence test on the initial club. Schnurbus et al (2017) suggest using the iterative method to test and merge the adjacent clubs [26]. First, merging the initial clubs 1 and 2, and then performing the joint log t regression test.…”

Section: Club Clustering Algorithmmentioning

confidence: 99%

“…Next, in order to test whether there are potential clubs that can be merged, we continue to perform the club merging test. Then, we use the method modified by Schnurbus et al (2017), and the results are shown in Table 4 [26]. Notes: the values in the parentheses are the t. statistics of the corresponding coefficients, and the values in the square brackets are the number of club members.…”

Section: Convergence Testmentioning

confidence: 99%

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Club Convergence and Factors of Per Capita Transportation Carbon Emissions in China

et al. 2019

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China is the largest carbon dioxide emitter in the world, and reducing China’s transportation carbon emissions is of great significance for the world. Using the Chinese provincial data from 2005–2015, this article analyzes the convergence characteristics of per capita transportation carbon emissions in China. It employs the log t regression test method and the club clustering algorithm developed by Phillips and Sul (2007) to separate the provinces and municipalities in China into three convergence clubs with different transportation carbon emission levels and one divergent group. Among them, the divergent group consisted of Beijing and Liaoning; the high carbon emission club consisted of Shanghai and Inner Mongolia; the low carbon emission club consisted of Jiangxi, Henan, Shandong, Hebei, and Sichuan; the medium carbon emission club consisted of the remaining 21 provinces and municipalities. On this basis, this article adopts the Ordered Logit model to explore factors influencing the formation of the convergence clubs. The regression results showed that the per capita transportation carbon emissions in the provinces with a high energy intensity of the transportation sector, a high urbanization level, or a high fixed assets investment intensity of the transportation sector tended to converge into the high carbon emission club.

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“…After that, Schnurbus et al (2017) further modify the original algorithm. The steps of the club clustering algorithm used herein are as follows [26]:…”

Section: Club Clustering Algorithmmentioning

confidence: 99%

Section: Club Clustering Algorithmmentioning

confidence: 99%

Section: Convergence Testmentioning

confidence: 99%

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Club Convergence and Factors of Per Capita Transportation Carbon Emissions in China

et al. 2019

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“…We follow the proposal of[46], who slightly amend the PS algorithm, according to[47] 2. The smoothing parameter of the Hodrick-Prescott method can condition the results of the filtering, as noted in[48].…”

mentioning

confidence: 99%

Global Trends in Child Obesity: Are Figures Converging?

González-Alvarez¹,

Lázaro-Alquézar²,

Simón-Fernández³

2020

Preprint

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Infant obesity has become one of the most serious global health challenges of our time. The combined prevalence of overweight and obesity has rapidly increased worldwide during the last two decades, especially in some developing countries where obesity is reaching levels on a par with some industrialized countries, or even higher. This fast growth has occurred especially in countries in the midst of rapid social-economic transitions. Most international comparisons focus on the adult population while analyses focusing on the child population are more limited. Using the methodology developed by Phillips and Sul [1], this paper studies the worldwide evolution of infant body mass index (BMI), overweight and obesity prevalence for a large sample of countries during the period 1975-2016. Our results indicate that the figures for BMI or the prevalence of obesity in different countries do not converge, while the opposite is the case for overweight prevalence in children. Furthermore, there is a non-linear relationship between obesity and income or human capital, indicating that low and middle-income countries require a strong initiative for health policies targeting obesity prevention.

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“…for their analysis of convergence in 18 Western OECD countries. 2 Making use of portions of the R code written bySchnurbus, Haupt, and Meier (2017) for their replication ofPhillips and Sul's (2009) results on convergence clubs, I followPhillips and Sul (2009) and use theHodrick-Prescott (1997) filter to remove the cyclical component of the data and then calculate the dependent variable log − 2log (log ) as described above, before omitting the first third of the data points so that the effective sample period is 1914 to 2001. Estimation of Equation (1) using the data so constructed exactly reproducesPhillips and Sul's (2009) results for the 18 Western OECD countries.…”

mentioning

confidence: 99%

Parameter variation in the 'logt' convergence test

Johnson

2019

Applied Economics Letters

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log t" convergence test. It documents the economically and statistically significant within-sample variation in the estimated value of the key parameter of that test when applied to data for 18 OECD countries during the 20th century. This variation suggests the substantial waxing and waning of the forces driving convergence, possibly due to low-frequency shocks and changes in the level economic integration.

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Economic Transition and Growth: A Replication

Cited by 82 publications

References 7 publications

Club Convergence and Factors of Per Capita Transportation Carbon Emissions in China

Club Convergence and Factors of Per Capita Transportation Carbon Emissions in China

Global Trends in Child Obesity: Are Figures Converging?

Parameter variation in the 'logt' convergence test

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