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Anzoategui Zapata, J. C., & Galvis Ciro, J. C. (2024). Effects of digital news on the GAP of inflation expectations: First evidence for an emerging economy. Revista Finanzas Y Política Económica, 16(2). Retrieved from https://revfinypolecon.ucatolica.edu.co/article/view/5482
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Abstract

The aim of this paper is to investigate the effects of digital mass media on the formation of inflation expectations. In particular, this paper evaluates the effects of digital news on the GAP of inflation expectations between consumers and forecasters. For this, the Colombian economy for the period 2010-2018 is used as a case study. The methodology used consists of evaluating the effects of news on inflation provided by five representative digital newspapers on the GAP of expectations. Through econometric regressions, it is found that a greater exposure of consumers to mass media such as digital newspapers becomes a useful means of information in their process of forming inflation expectations. In particular, news with a negative tone exerts greater uncertainty and amplifies the GAP, a positive tone allows improving forecasts, while news with a neutral tone tends to widen the gap.

Keywords:

References

Anzoátegui, J. C., & Galvis, J. C. (2020). Disagreements in consumer inflation expectations: Empirical Evidence for a Latin American Economy. Journal of Business Cycle Research, 16, 99-122. https://doi.org/10.1007/s41549-020-00047-x

Arellano, M. (2003). Panel Data Econometrics. Oxford University Press.

https://doi.org/10.1093/0199245282.001.0001

Arellano, M., & Bover, O. (1995). Another look at the instrumental variables estimation of error-components models. Journal of Econometrics. 68(1), 29-51. https://doi.org/10.1016/0304-4076(94)01642-D

Binder, C. (2017). Consumer forecast revisions: Is information really so sticky? Economics Letters, 161, 112-115.

https://doi.org/10.1016/j.econlet.2017.09.029

Blinder, A. S., Ehrmann, M., De Haan, J., & Jansen, D. J. (2022). Central bank communication with the general public: Promise or false hope? Working Paper Series, 2694. European Central Bank. https://doi.org/10.3386/w30277

Blinder, A., Ehrmann, M., Fratzcher, M., De Haan, J., & Jansen, D. (2008). Central Bank Communication and Monetary Policy. Journal of Economic Literature, 46(4), 910-945. https://doi.org/10.1257/jel.46.4.910

Branch, W. (2007). Sticky information and model uncertainty in survey data on inflation expectations. Journal of Economic Dynamics & Control, 31, 245-276. https://doi:10.1016/j.jedc.2005.11.002

Branch, W. A. (2004). The theory of rationally heterogeneous expectations: Evidence from survey data on inflation expectations. The Economic Journal, 114(497), 592-621. https://doi.org/10.1111/j.1468-0297.2004.00233.x

Brock, W. A., & Hommes, C. H., (1997). A rational route to randomness. Econometrica, 65, 1059-1160. https://doi.org/10.2307/2171879

Carroll, C. (2003). Macroeconomic expectations of households and professional forecasters. The Quarterly Journal of Economics, 118(1), 269-298. https://doi.org/10.1162/00335530360535207

Coenen, G., Ehrmann, M., Gaballo, G., Hoffmann, P., Nakov, A., Nardelli, S., Persson, E., & Strasser. G. (2017). Communication of Monetary Policy in Unconventional Times. Working Paper Series, 2080. European Central Bank. https://doi.org/10.2139/ssrn.3043098

Coibion, O., Gorodnichenko, Y., & Weber, M. (2022). Monetary policy communications and their effects on household inflation expectations. Journal of Political Economy, 130(6), 1537-1584. https://doi.org/10.1086/718982

Coibion, O., Gorodnichenko, Y., Kumar, S., & Pedemonte, M. (2020). Inflation expectations as a policy tool? Journal of International Economics, 124, 103297. https://doi.org/10.1016/j. jinteco.2020.103297

Cragg, J. G. (1983). More efficient estimation in the presence of heteroscedasticity of unknown form. Econometrica, 51, 751-763. https://doi.org/10.2307/1912156

Dovern, J., & Hartmann, M. (2017). Forecast performance, disagreement, and heterogeneous signal-to-noise ratios. Empirical Economics, 53(1), 63-77. https://DOI10.1007/s00181-016-1137-x

Durbin, J. (1954). Errors in variables. Review of the International Statistical Institute, 22, 23-32. https://doi.org/10.2307/1401917

Ehrmann, M., Pfajfar, D., & Santoro, S. (2015). Consumers' attitudes and their inflation expectations. Finance and Economics Discussion Series, 15. https://doi.org/10.17016/FEDS.2015.015

Fogarty, B. (2005). Determining economic news coverage. International Journal of Public Opinion Research, 17(2), 149-72. https://doi.org/10.1093/ijpor/edh051

Gürkaynak, R., Levin, A., & Swanson, E. (2010). Does inflation targeting anchor long-run inflation expectations? Evidence from long-term bond yields in the U.S., U.K., and Sweden. Journal of the European Economic Association, 8(6), 1208-1242. https://doi.org/10.1162/jeea_a_00023

Hamilton, J. (2004). All the news that's fit to sell: How the market transforms information into news. Princeton University Press.

https://doi.org/10.1515/9781400841417

Hansen, L. P. (1982). Large sample properties of generalized method of moments estimators. Econometrica, 50(4), 1029-1054. https://doi.org/10.2307/1912775

Hausman, J. (1978). Specification tests in econometrics. Econometrica, 46(6), 1251-1271. https://doi.org/10.2307/1913827

Holsti, O. R. (1969). Content Analysis for the Social Sciences and Humanities, Reading, MA: Addison-Wesley.

Johnston, J. (1984). Econometric methods (3rd ed.). McGraw-Hill Book Co.

Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47(2), 263-292. https://doi.org/10.2307/1914185

Kmetz, A., Shapiro, A. H., & Wilson, D. J. (2022). Can the news drive inflation expectations? FRBSF Economic Letter, 2022(31), 1-6.

Lamla, M., & Lein, S. (2015). Information rigidities, inflation perceptions, and the media: Lessons from the euro cash changeover. Economic Inquiry, 53(1), 9-22. https://doi.org/10.1111/ecin.12121

Lamla, M., & Lein, S. (2014). The role of media for consumers’ inflation expectation formation. Journal of Economic Behavior & Organization, 106, 62-77. https://doi.org/10.1016/j.jebo.2014.05.004.

Lamla, M., & Maag, T. (2012). The role of media for inflation forecast disagreement of households and professional forecasters. Journal of Money, Credit and Banking, 44(7), 1325-1350. doi:10.1111/j.1538-4616.2012.00534.x.

Lei, C., Lu, Z., & Zhang, C. (2015). News on inflation and the epidemiology of inflation expectations in China. Economic Systems, 39(4), 644-653. https://doi.org/10.1016/j.ecosys.2015.04.006

Law, C. H., & Goh, K. H. (2024). A systematic literature review of the implications of media on inflation expectations. International Economics and Economic Policy, 1-30. https://doi.org/10.1007/s10368-024-00591-2

Mankiw, G., & Reis, R. (2002). Sticky information versus sticky prices: A proposal to replace the new keynesian phillips curve. The Quarterly Journal of Economics, 117(4), 1295-1328. https://doi.org/10.1162/003355302320935034

Mullainathan, S., & Shleifer, A. (2005). The market for news. American Economic Review, 95(4), 1031-53. https://doi.org/10.1257/0002828054825619

Newey, W. K., & West, K. (1987). A simple, positive semi-definite, heteroskedasticity and autocorrelation consistent covariance matrix. Econometrica, 55(3), 703-708. https://doi.org/10.2307/1913610

Pfajfar, D., & Santoro, E. (2013). News on inflation and the epidemiology of inflation expectations. Journal of Money, Credit and Banking, 45(6), 1045-1067.

https://doi.org/10.1111/jmcb.12043

Sargan, J. D. (1958). The Estimation of Economic Relationships Using Instrumental Variables. Econometrica. 26(3), 393-415. doi:10.2307/1907619. JSTOR 1907619.

Sims, C. (2003). Implications of rational inattention. Journal of Monetary Economics, 50, 665-690. https://doi.org/10.1016/S0304-3932(03)00029-1

Soroka, S., & McAdams, S. (2015). News, politics, and negativity. Political Communication, 32(1), 1-22. https://doi.org/10.1080/10584609.2014.881942

Soroka, S. (2006). Good news and bad news: Asymmetric responses to economic information. The Journal of Politics, 68, 372-385. https://doi.org/10.1111/j.1468-2508.2006.00413.x

Ter Ellen, S., Larsen, V. H., & Thorsrud, L. A. (2022). Narrative monetary policy surprises and the media. Journal of Money, Credit and Banking, 54(5), 1525-1549.

https://doi.org/10.1111/jmcb.12868

Woodford, M. (2001). Monetary policy in the information economy, en Economic Policy for the Information Economy (pp. 297-370). Federal Reserve Bank of Kansas City. https://doi.org/10.3386/w8674

Wu, D. M. (1973). Alternative tests of independence between stochastic regressors and disturbances. Econometrica, 41(4), 733-750. https://doi.org/10.2307/1914093

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