2016
DOI: 10.1016/j.rdf.2016.06.001
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Does development finance pose an additional risk to monetary policy?

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Cited by 18 publications
(12 citation statements)
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“…First, the panel unit root tests had more predictive power relative to their respective time-series counterparts. This study used the four-panel unit root tests, listed above, because the traditional ADF is reported to have low predictive power when identifying stationarity in short panels (Issahaku et al , 2016), as in our case. Second, panel unit root tests do not restrict but permit for country-level fixed effects and variations in time for the parameters across the panels.…”
Section: Resultsmentioning
confidence: 99%
“…First, the panel unit root tests had more predictive power relative to their respective time-series counterparts. This study used the four-panel unit root tests, listed above, because the traditional ADF is reported to have low predictive power when identifying stationarity in short panels (Issahaku et al , 2016), as in our case. Second, panel unit root tests do not restrict but permit for country-level fixed effects and variations in time for the parameters across the panels.…”
Section: Resultsmentioning
confidence: 99%
“…Furthermore, Issahaku et al, (2016) investigated the potential risk posed by remittances for macroeconomic management and also examined the effect of remittances on monetary policy in 106 developing countries from 1970 to 2013 using panel vector autoregressive model. Results showed that volatility in remittances reduced macroeconomic risk in developing countries.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Rolling window on performance metrics and the statistical test is widely used in literature, for instance, (Issahaku, Harvey, & Abor, 2016) uses rolling window model over standard deviation macroeconomics variables to evaluate de volatility risk associated to monetary policy through a panel vector autoregressive (PVAR) for 106 developing countries. Likewise, (Balcilar, Ozdemir, & Shahbaz, 2019) applied a Granger causality recursive rolling test to find linkages between oil and gold prices.…”
Section: Brief Review Ff the Risk-return Trade-offmentioning
confidence: 99%