Econometric methods can determine causality between price levels and corruption.
Econometric techniques like cointegration, error correction models, and Granger causality tests are standard tools used in empirical research to evaluate causal relationships involving corruption and economic indicators.
The claim posits that econometric methods can determine causality between price levels and corruption. The retrieved papers include several empirical studies that apply advanced econometric techniques (such as Granger causality, ARDL, and error correction models) to investigate causal relationships involving corruption indices alongside macroeconomic and price-related variables (such as tax rates, oil rents, and general economic factors). Although the specific pairing of price levels and corruption is addressed tangentially or as part of broader macroeconomic models rather than as a standalone isolated topic in every paper, the general methodological claim that econometrics can establish causality for these variables is directly supported by the literature.
Anastasiou Athanasios, Kalligosfyris Charalampos, Kalamara Eleni. Determinants of tax evasion in Greece: Econometric analysis of co-integration and causality, variance decomposition and impulse response analysis. 2021. https://doi.org/10.47260/BAE/813
Paper 0 uses econometric methods such as cointegration, Error Correction Models, and Granger causality analysis to examine the quantitative causal relationships between deterministic factors including corruption and tax evasion.
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Ewodo-Amougou MR, Sapnken FE, Mfetoum IM, Tamba JG. Methodology for examining the relationship between oil rent and crude oil production: Evidence from Cameroon.. 2023. https://doi.org/10.1016/j.mex.2023.102363
Paper 9 employs ARDL estimation and Toda-Yamamoto Granger causality tests, incorporating corruption alongside other variables to establish causal links within an economic framework.
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