Price modelling of natural gas for the EU-12 countries: Evidence from panel cointegration

Yorucu, Vedat; Bahramian, Pejman

doi:10.1016/j.jngse.2015.04.006

Cited by 36 publications

(12 citation statements)

References 27 publications

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“…This approach adjusts least squares to account for "serial correlation" effects and for the "endogeneity" in the regressors that result from the presence of a cointegrating association (Kirikkaleli 2016). Furthermore, the asymptotic behavior of FMOLS in models with full rank I(1) regressors, models with I(1) and I(0) regressors, models with unit roots, and models with only stationary regressors (Yorucu and Bahramian 2015).…”

Section: Robustness With Alternative Methodologiesmentioning

confidence: 99%

Does infrastructure increase exports and reduce trade deficit? Evidence from selected South Asian countries using a new Global Infrastructure Index

Rehman

Noman

Ding

2020

Economic Structures

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Structuralists consider that availability of infrastructure plays important role in markets connectivity and trade promotion while the lack of infrastructure disrupts markets and retards trade. Infrastructure makes a huge difference in the process of development and the comparative edge of an economy, particularly in trade (Ahmad et al. 2015; Anderson and Wincoop 2003). Researchers estimated that poor infrastructure penalize international trade (Donaubauer et al. 2018; Yeaple and Golub 2002). Countries with better infrastructure (such as Singapore and Hong Kong) perform well in international trade and punch above their weight while countries with weak infrastructure (such as Bhutan and Pakistan) perform poor on external sector

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Section: Robustness With Alternative Methodologiesmentioning

confidence: 99%

Does infrastructure increase exports and reduce trade deficit? Evidence from selected South Asian countries using a new Global Infrastructure Index

Rehman

Noman

Ding

2020

Economic Structures

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“…In Kao test; automatic lag length selection based on AIC with a max lag of 2nd and results was found significance at 1% (Table 2 section E). Panel DOLS and Panel FMOLS tests have been carried out next to estimate various estimators available include "withinand between-group FMOLS and DOLS" estimators (Yorucu and Bahramian, 2015). Among several panel estimators, the FMOLS and DOLS are the most commonly chosen ones.…”

Section: Resultsmentioning

confidence: 99%

Hava Kirliliği ile Astım Arasındaki İlişkinin Ekonometrik Değerlendirilmesi

Ekinci¹

2022

ideas

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Background: This study was carried out to determine the impact of Non-methane volatile organic compounds (NMVOC) on the disease of Asthma. Methods: In the analysis, the relationship between NMVOC and disease of asthma was analyzed by using panel data method. In the analyzes; the Least Squares Method, unit root tests, cointegration tests and FMOLS-DOLS tests were used. 15 countries were determined for this study that have regular data between 1990-2018 about NMVOC. These countries were Canada,

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“…(30) previously proposed the FMOLS estimator to postulate optimum assessments of co-integrating regressions in their study. This method adapts the least squares to compensate for the consequences of "serial correlation" and the "endogenship" in the regressors arising from the existence of a co-integrating interaction (48) In addition, FMOLS' asymptotic action models with total I (1) regressors, I (1) and I (0) repressors, root unit models, and stationery regressor models only (49) . Originally the estimator Fully Modified (FM) was developed by adjusting standard OLS to test the co-integrating linkages specifically.…”

Section: Robustness Check With Alternative Methodologymentioning

confidence: 99%

Study on Determinants of Trade Deficit in Selected SAARC Countries: The Role of Infrastructure

Khan¹,

Rehman²,

Hussain³

et al. 2021

IJED

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Purpose: Southern Asia economies, facing trade deficit in the last several years due to similar goods production and same export market, so there is a need to search out the way for trade reforms which affects the trade balance positively. The main purpose of this study is to examine the key determinants, most particularly the role of hard and soft infrastructure in trade deficit in South Asian for Regional Cooperation (SAARC) member economies. Methodology: The data were collected annual time series of 7 SAARC countries from 1990 to 2017. Different resources are used to collect data, like World development indicators, IMF and ICRG. This study applied several econometric tests, i.e., Panel Unit Root, panel-corrected standard error (PCSE), and Feasible Generalized Lease Square (FGLS). Finding: The econometric results show that the impact of aggregate infrastructure and all sub-indices (i.e., transport, telecommunication, energy and financial sector) on the trade deficit is positive and significant. The exchange rate's effect on the trade deficit is significant and negative while the financial deepening on trade is significant and negative. The impact of foreign direct investment (FDI) is negative and significant. The effect of domestic consumption on the trade deficit is positive and significant. Furthermore, the overall results recommended that the selected independent variables encourage exports and reduce the trade deficit in SAARC economies in the long run.

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Price modelling of natural gas for the EU-12 countries: Evidence from panel cointegration

Cited by 36 publications

References 27 publications

Does infrastructure increase exports and reduce trade deficit? Evidence from selected South Asian countries using a new Global Infrastructure Index

Does infrastructure increase exports and reduce trade deficit? Evidence from selected South Asian countries using a new Global Infrastructure Index

Hava Kirliliği ile Astım Arasındaki İlişkinin Ekonometrik Değerlendirilmesi

Study on Determinants of Trade Deficit in Selected SAARC Countries: The Role of Infrastructure

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