scholarly journals Re-examination of convergence hypothesis among Indian states in panel stationarity testing framework with structural breaks

2017 ◽  
Vol 50 (3) ◽  
pp. 268-286 ◽  
Author(s):  
Ankita Mishra ◽  
Vinod Mishra
Keyword(s):  
Structural Breaks ◽  
Indian States ◽  
Convergence Hypothesis ◽  
Testing Framework ◽  
Panel Stationarity

Convergence in per capita carbon footprint and ecological footprint for G7 countries: Evidence from panel Fourier threshold unit root test

2021 ◽  
pp. 0958305X2110114
Author(s):  
Veli Yilanci ◽  
Muhammed Sehid Gorus ◽  
Sakiru Adebola Solarin
Keyword(s):  
Unit Root ◽  
Structural Breaks ◽  
Structural Changes ◽  
Unit Root Test ◽  
G7 Countries ◽  
Convergence Hypothesis ◽  
International Climate ◽  
Per Capita ◽  
Nonlinear Behaviors ◽  
Nonlinear Unit Root Tests

This paper aims to explore the convergence of per capita carbon and ecological footprints in G7 countries during 1961–2016. For this purpose, we propose a new unit root test in the panel setting–the panel Fourier threshold unit root test. This test takes into consideration both multiple smooth structural changes and nonlinearity. According to the literature, the power of the nonlinear unit root tests is reduced in the case of ignoring structural breaks. Therefore, we expect to get more reliable empirical findings by utilizing this methodology. The empirical results of this paper show that these series have nonlinear behaviors for the period 1961–2016. Furthermore, they demonstrate that the absolute convergence hypothesis is valid in G7 countries for both regimes. Thus, governments can conduct common environmental policies, including international climate summits and agreements, instead of national-based policies to mitigate environmental deterioration in their countries.

Testing the regional Convergence Hypothesis for the progress in health status in India during 1980–2015

2020 ◽  
pp. 1-17
Author(s):  
Mohammad Zahid Siddiqui ◽  
Srinivas Goli ◽  
Anu Rammohan
Keyword(s):  
Health Status ◽  
Health Inequalities ◽  
Family Health ◽  
Health Indicators ◽  
Dispersion Measure ◽  
Indian Government ◽  
Indian States ◽  
Convergence Hypothesis ◽  
Registration System ◽  
Life Expectancy At Birth

Abstract The key challenges of global health policy are not limited to improving average health status, with a need for greater focus on reducing regional inequalities in health outcomes. This study aimed to assess health inequalities across the major Indian states used data from the Sample Registration System (SRS, 1981–2015), National Family Health Survey (NFHS, 1992–2015) and other Indian government official statistics. Catching-up plots, absolute and conditional β-convergence models, sigma (σ) plots and Kernel Density plots were used to test the Convergence Hypothesis, Dispersion Measure of Mortality (DMM) and the Gini index to measure progress in absolute and relative health inequalities across the major Indian states. The findings from the absolute β-convergence measure showed convergence in life expectancy at birth among the states. The results from the β- and σ-convergences showed convergence replacing divergence post-2000 for child and maternal mortality indicators. Furthermore, the estimates suggested a continued divergence for child underweight, but slow improvements in child full immunization. The trends in inter-state inequality suggest a decline in absolute inequality, but a significant increase or stationary trend in relative health inequality during 1981–2015. The application of different convergence metrics worked as robustness checks in the assessment of the convergence process in the selected health indicators for India over the study period.

EXTERNAL SHOCKS, STRUCTURAL BREAKS AND UNEMPLOYMENT HYSTERESIS IN SELECTED ASIAN COUNTRIES

2019 ◽  
Vol 64 (03) ◽  
pp. 575-600
Author(s):  
QAISER MUNIR ◽  
SOOK CHING KOK ◽  
KASIM MANSUR
Keyword(s):  
Panel Data ◽  
Cross Section ◽  
Structural Breaks ◽  
Policy Implications ◽  
External Shocks ◽  
Asian Countries ◽  
Exogenous Shocks ◽  
Stationarity Test ◽  
The Cross ◽  
Panel Stationarity

This paper re-examines the hypothesis of unemployment hysteresis using panel data for 11 Asian countries for the period from 1980 to 2008. This study employs a variety of panel data unit root tests recently advanced by Bai and Ng (2004), Pesaran (2007) and Chang and Song (2009). The advantage of these tests is that they are able to exploit the cross-section variations of the series. In addition to these tests, a new powerful panel stationarity test proposed by Carrión-i-Silvestre et al. (2005) is applied which exploits the cross-section variations of the series and also allows for different numbers of endogenous breakpoints in the series. Our findings stress the importance of accounting exogenous shocks in the series and provide stronger evidence against the hypothesis of unemployment hysteresis for the countries analyzed. We also discover critical economic affairs which may cause the unemployment rates to fluctuate significantly. Policy implications are proposed through our observations.

Income convergence in India: evidence from nonparametric panel data

2017 ◽  
Vol 44 (3) ◽  
pp. 400-411 ◽  
Author(s):  
Arfat Ahmad Sofi ◽  
Raja Sethu Durai S.
Keyword(s):  
Panel Data ◽  
Capita Income ◽  
Fixed Effects ◽  
Income Convergence ◽  
Conditional Convergence ◽  
Indian States ◽  
Convergence Hypothesis ◽  
Content Type ◽  
Time Period ◽  
Per Capita

Purpose The purpose of this paper is to investigate convergence hypothesis in a balanced panel of 22 Indian states for the time period of 1980-81 to 2010-11 by applying nonparametric model setting in a panel framework. Design/methodology/approach The present study uses nonparametric and semi-parametric panel data methods to test the absolute and conditional convergence, respectively, and examines the income convergence using nonparametric panel data methods with state specific effects taken into consideration. These models are being estimated by the iterative process for a balanced panel of state wise per capita income and other conditioning variables for the time period of 1980-81 to 2010-11. For removing the fixed effects, the authors follow within transformation procedure according to the feasibility of the problem. Since convergence is estimated by regressing dependent variable on initial level of independent variable (as growth rate of income and per capita income in this case). So using usual transformation for removing the fixed effects is not feasible because by doing so the authors may end up with singular matrices on both sides of the regression model. Findings The results reject the null of parametric specification for both absolute as well as conditional convergence model. As to the outcome of the empirical analysis, the findings reveal that the Indian states are diverging in absolute sense and converging on conditional basis. Convergence happens to be consistent and conditional upon public expenditure, power generation share of primary and tertiary sector to Gross State Domestic Product. Originality/value The originality of the study is in its application of advanced methodology to highlight the model misspecifications while testing the convergence hypothesis in earlier literature.

Convergence hypothesis in tourism markets and activities in Taiwan

2018 ◽  
Vol 24 (8) ◽  
pp. 1037-1044 ◽  
Author(s):  
Sakiru Adebola Solarin
Keyword(s):  
Least Squares ◽  
Unit Root ◽  
Structural Breaks ◽  
Unit Root Test ◽  
Policy Implications ◽  
Club Convergence ◽  
Convergence Hypothesis ◽  
Tourism Sector ◽  
Robustness Check

Tourism policies do not only focus on how to improve arrivals from different tourism markets but also for different tourism activities. However, studies on convergence hypothesis of tourist arrivals, which can provide guidelines on how tourism policies should be conducted, have concentrated on convergence of tourism markets. The main contribution of this study is that in addition to convergence hypothesis in tourism markets, we have considered convergence hypothesis in tourism activities. We focus on Taiwan, and using a recently developed residual augmented least squares unit root test that allows for structural breaks and non-normality, we observe that convergence exists in the 15 major tourism markets and in 4 of the 5 major tourism activities in Taiwan. As a robustness check, we have also used a club convergence approach, and the results provide dominant evidence for club convergence in the tourism sector of Taiwan. The policy implications of the findings are provided within the article.

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