RDP 2020-08: Start Spreading the News: News Sentiment and Economic Activity in Australia References
December 2020
- Download the Paper 1.48MB
Aylmer C and T Gill (2003), ‘Business Surveys and Economic Activity’, RBA Research Discussion Paper No 2003-01.
Baker SR, N Bloom and SJ Davis (2016), ‘Measuring Economic Policy Uncertainty’, The Quarterly Journal of Economics, 131(4), pp 1593–1636.
Barnichon R and C Brownlees (2019), ‘Impulse Response Estimation by Smooth Local Projections’, The Review of Economics and Statistics, 101(3), pp 522–530.
Barsky RB and ER Sims (2012), ‘Information, Animal Spirits, and the Meaning of Innovations in Consumer Confidence’, The American Economic Review, 102(4), pp 1343–1377.
Beckers B (2020), ‘Credit Spreads, Monetary Policy and the Price Puzzle’, RBA Research Discussion Paper No 2020-01.
Bishop J and P Tulip (2017), ‘Anticipatory Monetary Policy and the “Price Puzzle”’, RBA Research Discussion Paper No 2017-02.
Bloom N (2014), ‘Fluctuations in Uncertainty’, Journal of Economic Perspectives, 28(2), pp 153–176.
Buckman SR, AH Shapiro, M Sudhof and DJ Wilson (2020), ‘News Sentiment in the Time of COVID-19’, FRBSF Economic Letter No 2020-08.
Bybee L, BT Kelly, A Manela and D Xiu (2020), ‘The Structure of Economic News’, NBER Working Paper No 26648.
Fraiberger SP (2016), ‘News Sentiment and Cross-Country Fluctuations’, in D Bamman, AS Doğruöz, J Eisenstein, D Hovy, D Jurgens, B O'Connor, A Oh, O Tsur and S Volkova (eds), EMNLP 2016 Workshop on Natural Language Processing and Computational Social Science: Proceedings of the Workshop, Association for Computational Linguistics, Stroudsburg, PA, pp 125–131.
Haddow A, C Hare, J Hooley and T Shakir (2013), ‘Macroeconomic Uncertainty: What Is It, How Can We Measure It and Why Does It Matter?’, Bank of England Quarterly Bulletin, 53(2) Q2, pp 100–109.
Heston SL and NR Sinha (2016), ‘News versus Sentiment: Predicting Stock Returns from News Stories’, Board of Governors of the Federal Reserve System Finance and Economics Discussion Series No 2016-048.
Hu M and B Liu (2004), ‘Mining and Summarizing Customer Reviews’, in R Kohavi, J Gehrke, W DuMouchel and J Ghosh (eds), KDD-2004 Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, The Association for Computing Machinery, New York, pp 168–177.
Hüfner FP and M Schröder (2002), ‘Forecasting Economic Activity in Germany – How Useful are Sentiment Indicators?’, Centre for European Economic Research, ZEW Discussion Paper No 02-56.
Jordà Ò (2005), ‘Estimation and Inference of Impulse Responses by Local Projections’, The American Economic Review, 95(1), pp 161–182.
Kearns J and P Manners (2006), ‘The Impact of Monetary Policy on the Exchange Rate: A Study Using Intraday Data’, International Journal of Central Banking, 2(4), pp 157–183.
Kirchner S (2020a), ‘The Effect of Changes in Monetary Policy on Consumer and Business Confidence’, The Australian Economic Review, 53(1), pp 118–125.
Kirchner S (2020b), ‘The Evidence Suggests Reserve Bank Rate Cuts Don't Hurt Confidence’, The Conversation (online), 4 February, viewed 18 July 2020. Available at <https://theconversation.com/the-evidence-suggests-reserve-bank-rate-cuts-dont-hurt-confidence-130799>.
Larsen VH and LA Thorsrud (2018), ‘Business Cycle Narratives’, Norges Bank Working Paper 3|2018.
Lewis DJ, C Makridis and K Mertens (2019), ‘Do Monetary Policy Announcements Shift Household Expectations?’, Federal Reserve Bank of New York Staff Report No 897, rev January 2020.
Loughran T and B McDonald (2011), ‘When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10-Ks’, The Journal of Finance, 66(1), pp 35–65.
Mikolov T, I Sutskever, K Chen, G Corrado and J Dean (2013), ‘Distributed Representations of Words and Phrases and Their Compositionality’, in Proceedings of the 26th International Conference on Neural Information Processing Systems – Volume 2 (NIPS' 13), Curran Associates Inc, Red Hook, pp 3111–3119.
Moore A (2017), ‘Measuring Economic Uncertainty and Its Effects’, Economic Record, 93(303), pp 550–575.
Nakamura E and J Steinsson (2018a), ‘High-Frequency Identification of Monetary Non-Neutrality: The Information Effect’, The Quarterly Journal of Economics, 133(3), pp 1283–1330.
Nakamura E and J Steinsson (2018b), ‘Identification in Macroeconomics’, Journal of Economic Perspectives, 32(3), pp 59–86.
Plagborg-Møller M and CK Wolf (2019), ‘Local Projections and VARs Estimate the Same Impulse Responses’, Unpublished manuscript, 10 July. Available at <https://economics.indiana.edu/documents/local-projections-and-VARs-estimate-the-same-impulse-responses.pdf>.
Roberts I and J Simon (2001), ‘What Do Sentiment Surveys Measure?’, RBA Research Discussion Paper No 2001-09.
Romer CD and DH Romer (2004), ‘A New Measure of Monetary Shocks: Derivation and Implications’, The American Economic Review, 94(4), pp 1055–1084.
Scotti C (2016), ‘Surprise and Uncertainty Indexes: Real-Time Aggregation of Real-Activity Macro-Surprises’, Journal of Monetary Economics, 82, pp 1–19.
Shapiro AH, M Sudhof and D Wilson (2017), ‘Measuring News Sentiment’, Federal Reserve Bank of San Francisco Working Paper 2017-01, rev March 2020.
Sharpe SA, NR Sinha and CA Hollrah (2017), ‘What's the Story? A New Perspective on the Value of Economic Forecasts’, Board of Governors of the Federal Reserve System Finance and Economics Discussion Series 2017-107, rev August 2018.
Thorsrud LA (2020), ‘Words are the New Numbers: A Newsy Coincident Index of the Business Cycle’, Journal of Business & Economic Statistics, 38(2), pp 393–409.