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2. Implementation and Effectiveness of Extended Monetary Policy Tools: Lessons from the Literature. (2020). Yang, Jing ; Witmer, Jonathan ; Priftis, Romanos ; Kozicki, Sharon ; Suchanek, Lena ; Johnson, Grahame.
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3. Narrative monetary policy surprises and the media. (2019). Thorsrud, Leif ; ter Ellen, Saskia ; Larsen, Vegard.
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1. What matters for the economic synchronization of the Baltic States. (2024). Rubčinskaitė, Rima ; Rubinskait, Rima ; Urbien, Laimut.
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   RePEc:kap:empiri:v:51:y:2024:i:3:d:10.1007_s10663-024-09615-1.

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2. The consumption expenditure response to unemployment: Evidence from Norwegian households. (2024). Fagereng, Andreas ; Torstensen, Kjersti N ; Onshuus, Helene.
   In: Journal of Monetary Economics.
   RePEc:eee:moneco:v:146:y:2024:i:c:s030439322400031x.

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3. Accelerating peak dating in a dynamic factor Markov-switching model. (2024). van Dijk, Dick ; van Os, Bram.
   In: International Journal of Forecasting.
   RePEc:eee:intfor:v:40:y:2024:i:1:p:313-323.

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4. The euro area business cycle and its drivers. (2024). Toth, Mate ; Grigora, Veaceslav ; Warmedinger, Thomas ; Saiz, Lorena ; Stoevsky, Grigor ; Palenzuela, Diego Rodriguez.
   In: Occasional Paper Series.
   RePEc:ecb:ecbops:2024354.

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5. Are low frequency macroeconomic variables important for high frequency electricity prices?. (2023). Rossini, Luca ; Ravazzolo, Francesco ; Foroni, Claudia.
   In: Economic Modelling.
   RePEc:eee:ecmode:v:120:y:2023:i:c:s0264999322003972.

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6. The macroeconomic effects of forward communication. (2022). Brubakk, Leif ; Ellen, Saskia Ter ; Robstad, Orjan ; Xu, Hong.
   In: Journal of International Money and Finance.
   RePEc:eee:jimfin:v:120:y:2022:i:c:s026156062100187x.

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7. Markov switching panel with endogenous synchronization effects. (2022). Casarin, Roberto ; Billio, Monica ; Agudze, Komla M ; Ravazzolo, Francesco.
   In: Journal of Econometrics.
   RePEc:eee:econom:v:230:y:2022:i:2:p:281-298.

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8. Are low frequency macroeconomic variables important for high frequency electricity prices?. (2022). Rossini, Luca ; Ravazzolo, Francesco ; Foroni, Claudia.
   In: Papers.
   RePEc:arx:papers:2007.13566.

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9. Measuring the Business Cycle Chronology with a Novel Business Cycle Indicator for Germany. (2021). Mayer, Thomas ; Gehringer, Agnieszka.
   In: Journal of Business Cycle Research.
   RePEc:spr:jbuscr:v:17:y:2021:i:1:d:10.1007_s41549-021-00054-6.

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10. Markov Switching Panel with Endogenous Synchronization Effects. (2021). Ravazzolo, Francesco ; Casarin, Roberto ; Billio, Monica ; Agudze, Komla M.
    In: BEMPS - Bozen Economics & Management Paper Series.
    RePEc:bzn:wpaper:bemps82.

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11. The Macroeconomy as a Random Forest. (2021). Goulet Coulombe, Philippe.
    In: Working Papers.
    RePEc:bbh:wpaper:21-05.

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12. Predicting ordinary and severe recessions with a three-state Markov-switching dynamic factor model. (2020). Wolters, Maik ; Reif, Magnus ; Carstensen, Kai ; Heinrich, Markus.
    In: International Journal of Forecasting.
    RePEc:eee:intfor:v:36:y:2020:i:3:p:829-850.

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13. Macroeconomics, Nonlinearities, and the Business Cycle. (2020). Reif, Magnus.
    In: ifo Beiträge zur Wirtschaftsforschung.
    RePEc:ces:ifobei:87.

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14. Common Baltic-Nordic business cycles: Correlation- versus Markov-switching approaches. (2019). Hegerty, Scott.
    In: Contemporary Economics.
    RePEc:wyz:journl:id:589.

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15. Residential investment and recession predictability. (2019). Herstad, Eyo ; Anundsen, Andre ; Aastveit, Knut Are.
    In: International Journal of Forecasting.
    RePEc:eee:intfor:v:35:y:2019:i:4:p:1790-1799.

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16. The macroeconomic effects of forward communication. (2019). ter Ellen, Saskia ; Brubakk, Leif ; Robstad, Orjan ; Xu, Hong.
    In: Working Paper.
    RePEc:bno:worpap:2019_20.

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17. Determination of the Current Phase of the Credit Cycle in Emerging Markets. (2019). Ponomarenko, Alexey ; Deryugina, Elena.
    In: Russian Journal of Money and Finance.
    RePEc:bkr:journl:v:78:y:2019:i:2:p:28-42.

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18. Predicting Ordinary and Severe Recessions with a Three-State Markov-Switching Dynamic Factor Model. An Application to the German Business Cycle. (2017). Wolters, Maik ; Reif, Magnus ; Carstensen, Kai ; Heinrich, Markus.
    In: VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking.
    RePEc:zbw:vfsc17:168206.

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19. Common Cycles and Baltic-Nordic Economic Integration. (2017). Hegerty, Scott ; William, Hegerty Scott.
    In: Economics and Business.
    RePEc:vrs:ecobus:v:31:y:2017:i:1:p:70-81:n:6.

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20. Dating Cyclical Turning Points for Russia: Formal Methods and Informal Choices. (2017). Petronevich, Anna ; Kondrashov, Nikolay ; Smirnov, Sergey V.
    In: Journal of Business Cycle Research.
    RePEc:spr:jbuscr:v:13:y:2017:i:1:d:10.1007_s41549-017-0014-9.

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21. Predicting Ordinary and Severe Recessions with a Three-State Markov-Switching Dynamic Factor Model. An Application to the German Business Cycle. (2017). Wolters, Maik ; Reif, Magnus ; Carstensen, Kai ; Heinrich, Markus.
    In: CESifo Working Paper Series.
    RePEc:ces:ceswps:_6457.

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22. Residential investment and recession predictability. (2017). Herstad, Eyo ; Anundsen, Andre ; Aastveit, Knut Are.
    In: Working Papers.
    RePEc:bny:wpaper:0057.

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23. Real-time determination of credit cycle phases in emerging markets. (2017). Ponomarenko, Alexey ; Deryugina, Elena.
    In: Bank of Russia Working Paper Series.
    RePEc:bkr:wpaper:wps17.

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24. Макроэкономическое прогнозирование с помощью BVAR Литтермана. (2016). МАЛАХОВСКАЯ ОКСАНА АНАТОЛЬ, ; ДЕМЕШЕВ БОРИС БОРИСОВИЧ, .
    In: Higher School of Economics Economic Journal Экономический журнал Высшей школы экономики.
    RePEc:scn:025886:16949947.

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25. Words are the new numbers: A newsy coincident index of business cycles. (2016). Thorsrud, Leif.
    In: Working Papers.
    RePEc:bny:wpaper:0044.

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