IDEAS home Printed from https://ideas.repec.org/r/eee/ecolet/v116y2012i3p547-550.html
   My bibliography  Save this item

Money and output: New evidence based on wavelet coherence

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Jens J. Krüger, 2021. "A Wavelet Evaluation of Some Leading Business Cycle Indicators for the German Economy," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 17(3), pages 293-319, December.
  2. Mihai Mutascu & Alexandre Sokic, 2023. "An extended wavelet approach of the money–output link in the United States," Empirical Economics, Springer, vol. 64(4), pages 1647-1665, April.
  3. Wang, Mei-Chih & Tsangyao Chang, 2019. "Revisiting Oil Prices, Producer Price Index (PPI), and the Purchasing Managers Index (PMI) Nexus: China and the USA," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 9(8), pages 913-925, August.
  4. Tiwari, Aviral Kumar & Kumar, Satish & Pathak, Rajesh & Roubaud, David, 2019. "Testing the oil price efficiency using various measures of long-range dependence," Energy Economics, Elsevier, vol. 84(C).
  5. repec:zbw:bofrdp:2016_014 is not listed on IDEAS
  6. Musa, Mustafa & Masih, Mansur, 2016. "Are the ASEAN stock markets integrated with the US market ? new evidence from wavelet coherence," MPRA Paper 101256, University Library of Munich, Germany.
  7. Taniya Ghosh & Abhishek Gorsi, 2023. "Money and output asymmetry: The Unintended consequences of central banks' obsession with inflation," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2023-07, Indira Gandhi Institute of Development Research, Mumbai, India.
  8. Chang, Chun-Ping & Lee, Chien-Chiang, 2015. "Do oil spot and futures prices move together?," Energy Economics, Elsevier, vol. 50(C), pages 379-390.
  9. Funashima, Yoshito, 2015. "Automatic stabilizers in the Japanese tax system," Journal of Asian Economics, Elsevier, vol. 39(C), pages 86-93.
  10. Verona, Fabio, 2016. "Time–frequency characterization of the U.S. financial cycle," Economics Letters, Elsevier, vol. 144(C), pages 75-79.
  11. Su-Ling TSAI & Tsangyao CHANG, 2018. "The Comovment between Money and Economic Growth in 15 Asia-Pacific Countries: Wavelet Coherency Analysis in Time-Frequency Domain," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 63-79, December.
  12. Yingying XU & Zhixin LIU & Jaime ORTIZ, 2018. "Actual and Expected Inflation in the U.S.: A Time-Frequency View," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 42-62, December.
  13. Chun-Ping Chang & Chien-Chiang Lee & GenFu Feng & Shao-Lin Ning, 2016. "Does higher government debt link to higher social expenditure? New method, new evidence," Applied Economics, Taylor & Francis Journals, vol. 48(16), pages 1429-1451, April.
  14. Gandjon Fankem, Gislain Stéphane & Fouda Mbesa, Lucien Cédric, 2023. "Business cycle synchronization and African monetary union: A wavelet analysis," Journal of Macroeconomics, Elsevier, vol. 77(C).
  15. Verona, Fabio, 2016. "Time–frequency characterization of the U.S. financial cycle," Economics Letters, Elsevier, vol. 144(C), pages 75-79.
  16. Ndubuisi, Gideon & Urom, Christian, 2023. "Dependence and risk spillovers among clean cryptocurrencies prices and media environmental attention," Research in International Business and Finance, Elsevier, vol. 65(C).
  17. Jiang, Chun & Chang, Tsangyao & Li, Xiao-Lin, 2015. "Money growth and inflation in China: New evidence from a wavelet analysis," International Review of Economics & Finance, Elsevier, vol. 35(C), pages 249-261.
  18. Aissa Djedaiet & Hassan Guenichi & Hicham Ayad, 2024. "Do asymmetric oil shocks impact gold and Bitcoin returns symmetrically? A comparison between the COVID-19 pandemic and the Russo-Ukrainian war," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 48(4), pages 1187-1213, December.
  19. Yoshito Funashima, 2018. "Macroeconomic policy coordination between Japanese central and local governments," Empirical Economics, Springer, vol. 54(4), pages 1631-1651, June.
  20. Funashima, Yoshito, 2014. "Macroeconomic policy coordination between Japanese central and local governments," MPRA Paper 59821, University Library of Munich, Germany.
  21. Aggarwal, Divya & Kalia, Deepali, 2022. "Examining comovement and causality between producer price index for P&C insurance premium and uncertainty indices: Wavelet and non-parametric quantile causality approach," Research in Economics, Elsevier, vol. 76(2), pages 141-148.
  22. Georgios Magkonis & Karen Jackson, 2019. "Identifying Networks in Social Media: The case of #Grexit," Networks and Spatial Economics, Springer, vol. 19(1), pages 319-330, March.
  23. Torben Klarl, 2016. "The nexus between housing and GDP re-visited: A wavelet coherence view on housing and GDP for the U.S," Economics Bulletin, AccessEcon, vol. 36(2), pages 704-720.
  24. Tiwari, Aviral Kumar & Abakah, Emmanuel Joel Aikins & Mefteh-Wali, Salma & Owusu, Patrick, 2023. "Measuring price efficiency in petroleum markets: New insights using various long-range dependence techniques," Resources Policy, Elsevier, vol. 82(C).
  25. Krüger, Jens J., 2024. "A Wavelet Evaluation of Some Leading Business Cycle Indicators for the German Economy," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 149438, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
  26. Cheng-Feng Wu & Fangjhy Li & Hsin-Pei Hsueh & Chien-Ming Wang & Meng-Chen Lin & Tsangyao Chang, 2020. "A Dynamic Relationship between Environmental Degradation, Healthcare Expenditure and Economic Growth in Wavelet Analysis: Empirical Evidence from Taiwan," IJERPH, MDPI, vol. 17(4), pages 1-17, February.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.