Adrian, T., & Estrella, A. (2008). Monetary tightening cycles and the predictability of economic activity. Economics Letters, 99, 260–264.
Aguiar-Conraria, L., & Soares, M. J. (2011a). Business cycle synchronization and the Euro: A wavelet analysis. Journal of Macroeconomics, 33, 477–489.
Aguiar-Conraria, L., & Soares, M. J. (2011b). Oil and the macroeconomy: Using wavelets to analyze old issues. Empirical Economics, 40, 645–655.
Aguiar-Conraria, L., & Soares, M. J. (2014). The continuous wavelet transform: moving beyond uni- and bivariate analysis. Journal of Economic Surveys, 28, 344–375.
Aguiar-Conraria, L., Azevedo, N., & Soares, M. J. (2008). Using wavelets to decompose the time-frequency effects of monetary policy. Physica A: Statistical Mechanics and its Applications, 387, 2863–2878.
Bai, J., & Ng, S. (2008). Forecasting economic time series using targeted predictors. Journal of Econometrics, 146, 304–317.
Bandholz, H., & Funke, M. (2003). In search of leading indicators of economic activity in Germany. Journal of Forecasting, 22, 277–297.
Baxter, M., & King, R. G. (1999). Measuring business cycles: Approximate band-pass filters for economic time series. Review of Economics and Statistics, 81, 575–593.
Bruzda, J. (2020). The wavelet scaling approach to forecasting: Verification on a large set of noisy data. Journal of Forecasting, 39, 353–367.
Caraiani, P. (2012). Money and output: New evidence based on wavelet coherence. Economics Letters, 116, 547–550.
- Cazelles, B., Chavez, M., de Magny, G. C., Guégan, J.-F., & Hales, S. (2007). Time-dependent spectral analysis of epidemiological time-series with wavelets. Journal of the Royal Society Interface, 4, 625–636.
Paper not yet in RePEc: Add citation now
Crowley, P. (2007). A guide to wavelets for economists. Journal of Economic Surveys, 21, 207–267.
Diebold, F. X., & Rudebusch, G. D. (1989). Scoring the leading indicators. Journal of Business, 62, 369–391.
- Diebold, F. X., & Rudebusch, G. D. (1991). Forecasting output with the composite leading index: An ex ante analysis. Journal of the American Statistical Association, 86, 603–610.
Paper not yet in RePEc: Add citation now
- Döpke, J., Fritsche, U., & Waldhof, G. (2019). Theories, techniques and the formation of German business cycle forecasts. Journal of Economics and Statistics (Jahrbücher für Nationalökonomie und Statistik), 239, 203–241.
Paper not yet in RePEc: Add citation now
Elliott, G., Rothemberg, T. J., & Stock, J. H. (1996). Efficient tests for an autoregressive unit root. Econometrica, 64, 813–836.
- Emerson, R. A., & Hendry, D. F. (1996). An evaluation of forecasting using leading indicators. Journal of Forecasting, 15, 271–291.
Paper not yet in RePEc: Add citation now
Entorf, H. (1993). Constructing leading indicators from non-balanced sectoral business survey series. International Journal of Forecasting, 9, 211–225.
Estrella, A., & Trubin, M. R. (2006). The yield curve as a leading indicator: Some practical issues. Federal Reserve Bank of New York, Current Issues in Economics and Finance, 12(5), 1–7.
Fernandez, V. (2008). Traditional versus novel forecasting techniques: How much do we gain? Journal of Forecasting, 27, 637–648.
Funashima, Y. (2017). Time-varying leads and lags across frequencies using a continuous wavelet transform approach. Economic Modelling, 60, 24–28.
- Gallegati, M. (2014a). Wavelet analysis of stock returns and aggregate economic activity. Computational Statistics and Data Analysis, 52, 3061–3074.
Paper not yet in RePEc: Add citation now
Gallegati, M. (2014b). Making leading indicators more leading: A wavelet-based method for the construction of composite leading indexes. OECD Journal: Journal of Business Cycle Measurement and Analysis, 1, 1–22.
Garnitz, J., Lehmann, R., & Wohlrabe, K. (2019). Forecasting GDP all over the world using leading indicators based on comprehensive survey data. Applied Economics, 51, 5802–5816.
- Ge, Z. (2008). Significance tests for the wavelet cross spectrum and wavelet linear coherence. Annals of Geophysics, 26, 3819–3829.
Paper not yet in RePEc: Add citation now
- Granger, C. W. J. (1966). The typical spectral shape of an economic variable. Econometrica, 34, 150–161.
Paper not yet in RePEc: Add citation now
- Grinsted, A., Moore, J. C., & Jevrejava, S. (2004). Application of the cross wavelet transform and wavelet coherence to geophysical time series. Nonlinear Processes in Geophysics, 11, 561–566.
Paper not yet in RePEc: Add citation now
- Howrey, E. P. (1968). A spectrum analysis of the long-swing hypothesis. International Economic Review, 9, 228–252.
Paper not yet in RePEc: Add citation now
Kholodilin, K. A., & Siliverstovs, B. (2006). On the forecasting performance of the alternative leading indicators for the German GDP: Recent evidence. Jahrbücher für Nationalökonomik und Statistik (Journal of Economics and Statistics), 226, 234–259.
- Kuznets, S. S. (1958). Long swings in the growth of population and in related economic variables. Proceedings of the American Philosophical Society, 102, 25–52.
Paper not yet in RePEc: Add citation now
Kwiatkowski, D., Phillips, P. C. B., Schmidt, P., & Shin, Y. (1992). Testing the null hypothesis of stationarity against the alternative of a unit root: How sure are we that economic time series have a unit root? Journal of Econometrics, 54, 159–178.
- Lahiri, K., & Moore, G. (Ed.). (1991). Leading economic indicators: New approaches and forecasting record. Cambridge (Mass.): Cambridge University Press.
Paper not yet in RePEc: Add citation now
Lehmann, R. (2020), The Forecasting Power of the IFO Business Survey, CESifo Working Paper Series 8291.
- Liu, Y., Liang, X. S., & Weisberg, R. H. (2007). Rectification of the bias in the wavelet power spectrum. Journal of Atmospheric and Oceanic Technology, 24, 2093–2102.
Paper not yet in RePEc: Add citation now
- Marcellino, M. (2006). Leading indicators. In G. Elliott, C. W. J. Granger, & A. Timmermann (Eds.), Handbook of economic forecasting (Vol. 1, pp. 879–960). Amsterdam: Elsevier.
Paper not yet in RePEc: Add citation now
Morley, J., & Piger, J. (2012). The asymmetric business cycle. Review of Economics and Statistics, 94, 208–221.
- Oppenländer, K.H., & Poser, G. (eds.) (1984), Leading Indicators and Business Cycle Surveys: Papers Presented at the 16th CIRET Conference Proceedings, Washington DC, 1983, Aldershot: Gower.
Paper not yet in RePEc: Add citation now
- Percival, D. B., & Walden, A. T. (2000). Wavelet methods for time series analysis. Cambridge (Mass.): Cambridge University Press.
Paper not yet in RePEc: Add citation now
Ramsey, J. B. (2002). Wavelets in economics and finance: Past and future. Studies in Nonlinear Dynamics & Econometrics, 6(3), 6(3), 1–27.
- Rösch, A., & Schmidbauer, H. (2018), WaveletComp: Computational Wavelet Analysis, R Package Version 1.1, https://CRAN.R-project.org/package=WaveletComp .
Paper not yet in RePEc: Add citation now
Rua, A. (2010). Measuring comovement in the time-frequency space. Journal of Macroeconomics, 32, 685–691.
Rua, A. (2012). Wavelets in Economics. Economic Bulletin, Summer, Banco de Portugal, 8, 71–79.
Rua, A. (2017). A wavelet-based multivariate multiscale approach for forecasting. International Journal of Forecasting, 33, 581–590.
Rua, A., & Nunes, L. C. (2005). Coincident and leading indicators for the Euro area: A frequency band approach. International Journal of Forecasting, 21, 503–523.
Rua, A., & Nunes, L. C. (2009). International comovement of stock market returns: A wavelet analysis. Journal of Empirical Finance, 16, 632–639.
Ruppert, W. (2007). Business survey in manufacturing. In G. Goldrian (Ed.), Handbook of survey-based business cycle analysis (pp. 19–32). Cheltenham: Elgar.
Sauer, S. (2020). ifo Konjunkturumfragen: Ein Überblick über die verfügbaren Zeitreihen. ifo Schnelldienst, 73, 45–48.
Sauer, S., & Wohlrabe, K. (2020). ifo Handbuch der Konjunkturumfragen, ifo Beiträge zur Wirtschaftsforschung, no. 88, München.
Sommer, V., & Wohlrabe, K. (2016). Historical Ifo business cycle data. CESifo Forum, 17, 45.
Stock, J. H., & Watson, M. W. (1989). New indexes of coincident and leading economic indicators. In O. J. Blanchard, S. Fisher (Eds.), NBER Macroeconomics Annual (vol. 4, pp. 351–409). Cambridge: MIT Press.
Stock, J. H., & Watson, M. W. (2003a). Forecasting output and inflation: The role of asset prices. Journal of Economic Literature, 41, 788–829.
Stock, J. H., & Watson, M. W. (2003b). How did leading indicator forecasts perform during the 2001 recession? Federal Research Bank of Richmond Economic Quarterly, 89, 71–90.
- Torrence, C., & Compo, G. (1998). A practical guide to wavelet analysis. Bulletin of the American Meteorological Society, 79, 61–78.
Paper not yet in RePEc: Add citation now
- Veleda, D., Montagne, R., & Araujo, M. (2012). Cross-wavelet bias corrected by normalizing scales. Journal of Atmospheric and Oceanic Technology, 29, 1401–1408.
Paper not yet in RePEc: Add citation now