A Replication of ‘The long-run impact of foreign aid in 36 African countries: Insights from multivariate time series analysis’ (Oxford Bulletin of Statistics and Economics, 2014)
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Macroeconomic data have been shown to vary substantially between sources, especially so for low-income countries. While the impact of data revisions on inference is well documented for cross-country studies, there is no systematic analysis of the robustness of results obtained from time series analysis. This is despite the fact that time series analysis is an integral part of the econometric toolkit of government analysts, and informs policy decisions in many areas of macroeconomics. This study fills this gap for the notoriously controversial aid-eﬀectiveness debate using the statistical framework by Juselius et al. (2014, Oxf Bull Econ Stat): by adopting alternative sources of GDP data in 36 sub-Saharan African countries The author finds that results remain robust across datasets in two thirds of the countries, but sometimes drasticall' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["economic data","economic growth","foreign aid","Time-series models"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Macroeconomic data have been shown to vary substantially between sources, especially so for low-income countries. While the impact of data revisions on inference is well documented for cross-country studies, there is no systematic analysis of the robustness of results obtained from time series analysis. This is despite the fact that time series analysis is an integral part of the econometric toolkit of government analysts, and informs policy decisions in many areas of macroeconomics. This study fills this gap for the notoriously controversial aid-eﬀectiveness debate using the statistical framework by Juselius et al. (2014, Oxf Bull Econ Stat): by adopting alternative sources of GDP data in 36 sub-Saharan African countries The author finds that results remain robust across datasets in two thirds of the countries, but sometimes drasticall' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Macroeconomic data have been shown to vary substantially between sources, especially so for low-income countries. While the impact of data revisions on inference is well documented for cross-country studies, there is no systematic analysis of the robustness of results obtained from time series analysis. This is despite the fact that time series analysis is an integral part of the econometric toolkit of government analysts, and informs policy decisions in many areas of macroeconomics. This study fills this gap for the notoriously controversial aid-eﬀectiveness debate using the statistical framework by Juselius et al. (2014, Oxf Bull Econ Stat): by adopting alternative sources of GDP data in 36 sub-Saharan African countries The author finds that results remain robust across datasets in two thirds of the countries, but sometimes drasticall
economic data; economic growth; foreign aid; Time-series models