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Resumen
El objetivo de este trabajo es investigar los efectos de los medios masivos de comunicación digitales en la formación de expectativas de inflación. En particular, este trabajo evalúa los efectos de las noticias digitales sobre la brecha o GAP de expectativas de inflación entre consumidores y expertos en pronóstico. Para ello, como estudio de caso, se utiliza la economía colombiana para el periodo 2010-2018. La metodología empleada consiste en evaluar los efectos de las noticias sobre inflación suministrada por cinco periódicos digitales representativos sobre el GAP de expectativas. Por medio de regresiones econométricas se encuentra que una mayor exposición de los consumidores a medios masivos de comunicación como los periódicos digitales, se convierte en un medio de información útil para su proceso de formación de expectativas de inflación. En particular, las noticias con un tono negativo ejercen mayor incertidumbre y amplifican el GAP, un tono positivo permite mejorar los pronósticos, mientras que las noticias con tono neutro tienden ampliar la brecha.
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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