DETERMINANTS OF TRADE BALANCE IN ETHIOPIA:EVIDENCE FROM ARDL MODEL
The annual time series data used in this study span the years 1980 to 2021 to investigate the factors influencing Ethiopia's trade balance. The analysis employs the Autoregressive Distributed Lag (ARDL) model to capture both short-term and long-term dynamics among the variables.
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An empirical model for the Turkish trade balance: new evidence from ARDL bounds testing analyses [PDF]
In this paper, the determinants of the Turkish trade balance are tried to be analyzed in an empirical modelling approach. For this purpose, the contemporaneous ARDL-based bounds testing has been used to examine the existence of a long run co-integration ...
Korap, Levent
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Does road safety cointegrate with socio-economic conditions in rich developing countries? [PDF]
Alfaki IA, Grivna M, El Sadig M.
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Socioeconomic and climatic factors influencing desertification in Saudi Arabia through an ARDL approach. [PDF]
Derouez F +4 more
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Shaping Somalia's environmental sustainability: the role of institutional quality, renewable energy, economic growth, and financial globalization on load capacity factor. [PDF]
Daror HO, Warsame AA, Ahmed Z.
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Identifying delayed human response to external risks: an econometric analysis of mobility change during a pandemic. [PDF]
Zhang G +4 more
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When the cure leaks: corruption, health spending, and health outcomes in Malawi. [PDF]
Yusufu EG, Bangara BC, Banda LG.
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The dynamic effects of irrigated land allocation on wheat production in Ethiopia. [PDF]
Wassihun AN, Zhu Y, Duguma AL.
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How to estimate the ARDL model using R software
Abstract AutoRegressive Distributed Lag Models (ARDL) are dynamic models that involve variables lagged over time, unlike static models. The aim of the paper is to present how to apply ARDL models using the R software, show how to use the package Dynamac.
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