Matches in SemOpenAlex for { <https://semopenalex.org/work/W2792002251> ?p ?o ?g. }
- W2792002251 endingPage "103210" @default.
- W2792002251 startingPage "103210" @default.
- W2792002251 abstract "I propose a flexible Radial Basis Functions (RBFs) Artificial Neural Networks method for studying the time series properties of macroeconomic variables. To assess the validity of the RBF approach, I conduct a Monte Carlo experiment using the data generated from a nonlinear New Keynesian (NK) model. I find that the RBF estimator can uncover the structure of the NK model from the simulated data of 300 observations. Finally, I apply the RBF estimator to the quarterly US data and show that the positive supply shocks have significantly weaker expansionary effects during the periods of passive monetary policy regimes." @default.
- W2792002251 created "2018-03-29" @default.
- W2792002251 creator A5053444866 @default.
- W2792002251 date "2020-06-01" @default.
- W2792002251 modified "2023-09-27" @default.
- W2792002251 title "Radial basis functions neural networks for nonlinear time series analysis and time-varying effects of supply shocks" @default.
- W2792002251 cites W138871346 @default.
- W2792002251 cites W1480376833 @default.
- W2792002251 cites W1518940614 @default.
- W2792002251 cites W1928592045 @default.
- W2792002251 cites W1964664313 @default.
- W2792002251 cites W1969610664 @default.
- W2792002251 cites W1970999465 @default.
- W2792002251 cites W1993498260 @default.
- W2792002251 cites W2003597483 @default.
- W2792002251 cites W2007700211 @default.
- W2792002251 cites W2012787379 @default.
- W2792002251 cites W2023140731 @default.
- W2792002251 cites W2024619871 @default.
- W2792002251 cites W2031762450 @default.
- W2792002251 cites W2037883917 @default.
- W2792002251 cites W2040217207 @default.
- W2792002251 cites W2040989045 @default.
- W2792002251 cites W2041481523 @default.
- W2792002251 cites W2043889612 @default.
- W2792002251 cites W2051688774 @default.
- W2792002251 cites W2056186894 @default.
- W2792002251 cites W2056687719 @default.
- W2792002251 cites W2059618523 @default.
- W2792002251 cites W2059852492 @default.
- W2792002251 cites W2066447749 @default.
- W2792002251 cites W2072097014 @default.
- W2792002251 cites W2072773743 @default.
- W2792002251 cites W2074812030 @default.
- W2792002251 cites W2086443874 @default.
- W2792002251 cites W2087618469 @default.
- W2792002251 cites W2088897322 @default.
- W2792002251 cites W2089861335 @default.
- W2792002251 cites W2103591784 @default.
- W2792002251 cites W2113442785 @default.
- W2792002251 cites W2127298222 @default.
- W2792002251 cites W2129712515 @default.
- W2792002251 cites W2132055478 @default.
- W2792002251 cites W2135860498 @default.
- W2792002251 cites W2140286179 @default.
- W2792002251 cites W2143956139 @default.
- W2792002251 cites W2149998159 @default.
- W2792002251 cites W2150300006 @default.
- W2792002251 cites W2155399784 @default.
- W2792002251 cites W2171277043 @default.
- W2792002251 cites W2178583389 @default.
- W2792002251 cites W2184914398 @default.
- W2792002251 cites W2526570445 @default.
- W2792002251 cites W2665040676 @default.
- W2792002251 cites W2800128908 @default.
- W2792002251 cites W2898969484 @default.
- W2792002251 cites W2961666894 @default.
- W2792002251 cites W2995027080 @default.
- W2792002251 cites W3022851552 @default.
- W2792002251 cites W3121263884 @default.
- W2792002251 cites W3123530756 @default.
- W2792002251 cites W3123590461 @default.
- W2792002251 cites W3123654570 @default.
- W2792002251 cites W3123985005 @default.
- W2792002251 cites W3124436545 @default.
- W2792002251 cites W3124444187 @default.
- W2792002251 cites W3125175487 @default.
- W2792002251 cites W3125357648 @default.
- W2792002251 cites W3125885337 @default.
- W2792002251 cites W3125888116 @default.
- W2792002251 cites W3216964136 @default.
- W2792002251 cites W39739780 @default.
- W2792002251 cites W561387135 @default.
- W2792002251 cites W94523489 @default.
- W2792002251 cites W2070131928 @default.
- W2792002251 doi "https://doi.org/10.1016/j.jmacro.2020.103210" @default.
- W2792002251 hasPublicationYear "2020" @default.
- W2792002251 type Work @default.
- W2792002251 sameAs 2792002251 @default.
- W2792002251 citedByCount "3" @default.
- W2792002251 countsByYear W27920022512020 @default.
- W2792002251 countsByYear W27920022512021 @default.
- W2792002251 crossrefType "journal-article" @default.
- W2792002251 hasAuthorship W2792002251A5053444866 @default.
- W2792002251 hasBestOaLocation W27920022512 @default.
- W2792002251 hasConcept C105795698 @default.
- W2792002251 hasConcept C119857082 @default.
- W2792002251 hasConcept C121332964 @default.
- W2792002251 hasConcept C143724316 @default.
- W2792002251 hasConcept C149782125 @default.
- W2792002251 hasConcept C151406439 @default.
- W2792002251 hasConcept C151730666 @default.
- W2792002251 hasConcept C154945302 @default.
- W2792002251 hasConcept C158622935 @default.
- W2792002251 hasConcept C162324750 @default.
- W2792002251 hasConcept C185429906 @default.
- W2792002251 hasConcept C19499675 @default.
- W2792002251 hasConcept C28826006 @default.