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Artificial neural networks have become increasingly popular for statistical model fitting over the last years, mainly due to increasing computational power. In this paper, an introduction to the use of artificial neural network (ANN) regression models is given. The problem of predicting the GDP...
Persistent link: https://www.econbiz.de/10011897260
industrialized world. Several scholars argue that corruption is one of the major obstacles to increase tax revenues but focus on … perceived corruption and remain on the macro-level. This study uses mirco-level data from the Afrobarometer survey wave 5 and … thus relates personal corruption experiences to tax morale. The nationally representative survey includes information about …
Persistent link: https://www.econbiz.de/10011338193
We study the effect of a corruption reflection index on internal conflict in Iran using a novel measure of corruption … variance decomposition analyses to track the response of protests to shocks in the level of corruption. Using annual data from … 1962 to 2019, we find a positive and significant response of protests to a positive shock in the news-based corruption …
Persistent link: https://www.econbiz.de/10012803751
The existence of ambiguity in the study of the impact of corruption on economic growth, namely the grease the wheel … hypothesis and sand the wheel hypothesis, trigger this research to look at the impact of corruption through another perspective …, i.e. income inequality. This study identifies the mutual influence between corruption and income inequality in Asian …
Persistent link: https://www.econbiz.de/10011930500
The destructive role of institutional quality such as corruption has been considered an important factor for economic …. This research examines the institutional role in controlling corruption within the preview of CO2 emissions-economic growth … nexus for the European Union. The study evaluates the moderating impact of corruption on the relationship between CO2 …
Persistent link: https://www.econbiz.de/10014464356
Persistent link: https://www.econbiz.de/10012220779
This book develops a machine-learning framework for predicting economic growth. It can also be considered as a primer for using machine learning (also known as data mining or data analytics) to answer economic questions. While machine learning itself is not a new idea, advances in computing...
Persistent link: https://www.econbiz.de/10012927915
This paper shows that newspaper articles contain timely economic signals that can materially improve nowcasts of real GDP growth for the euro area. Our text data is drawn from fifteen popular European newspapers, that collectively represent the four largest Euro area economies, and are machine...
Persistent link: https://www.econbiz.de/10013313002
This paper analyzes the existing relationship between economic growth and the monitoring of corruption and examines the … possible outcome of the implementation of a State reform in order to weed out corruption. Growth is always higher when … monitoring is high and therefore corruption eradicated. But growth declines when monitoring against corruption is not too high …
Persistent link: https://www.econbiz.de/10010293997
This paper empirically examines the impact of corruption on FDI in European Union countries, including candidate …, we find that corruption has a negative impact on FDI. -- FDI ; Corruption ; Efficient Grease Hypothesis ; OLS …
Persistent link: https://www.econbiz.de/10003834233