Emara, Noha and Zecheru, Daniela (2022): Is the Impact of Digitization on Domestic Inflation Non-Linear? The Case of Emerging Markets.
Preview |
PDF
MPRA_paper_106015.pdf Download (4MB) | Preview |
Abstract
The impact of major macroeconomic factors on domestic inflation has long been theorized and analyzed by economists. Nevertheless, the literature that studies the impact of digitization as an important determinant for lower and more stable inflation in both advanced economies and emerging markets is very thin. In this paper, we use panel data from the World Bank World Development Indicators and the Digital Ecosystem Development Index developed by Katz and Callorda (2018), on a sample of 54 advanced economies and emerging markets over the period 2004-2018. Starting from a traditional Phillips Curve with inflation expectations and output gap, we estimate a System Generalized Method of Moments (GMM) panel model. In our estimation of the model, we find a negative statistically significant non-linear (quadratic) relationship between the domestic inflation rate and the digitization index, with a definite cutoff point. This result supports the hypothesis that digitization may initially lower inflation, however, once digitization reaches its cutoff level further improvement in digitization leads to an increase in the rate of inflation. We subsequently re-estimate the main model using eight specific digitization pillars for infrastructure of digital services, digital connectivity, digitization of household, digitization of production, digital industries, factors of digital production, digital competitive intensity, and regulatory framework and public policies. Notably, we find a negative statistically significant non-linear relationship between the domestic inflation rate and all eight pillars of digitization for both the full sample and the emerging markets sample. Because the highest deflationary impact of digitization is derived from the digital infrastructure and factors of digital production, the policy priorities we emphasize include expanding network coverage, increasing fixed and broadband download speed, boosting telecommunications and education investments, as well as strengthening intellectual property rights, enhancing investments in R&D, and incentivizing innovation and patenting. However, our results show that deflationary effects of the improvement in digitization are smaller in emerging markets versus the full sample and that the entire effect of digitization in emerging markets is reinforced by the investment in human capital and the improvement of governance. Hence, our policy recommendations for emerging markets are directed towards maximizing school enrollments, controlling corruption, rule of law, and voice and accountability measures to recoup the maximum benefits of the improvement in digitization on domestic inflation.
Item Type: | MPRA Paper |
---|---|
Original Title: | Is the Impact of Digitization on Domestic Inflation Non-Linear? The Case of Emerging Markets |
Language: | English |
Keywords: | Digitization; System GMM; Advanced Economies; Emerging Markets |
Subjects: | C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C23 - Panel Data Models ; Spatio-temporal Models G - Financial Economics > G2 - Financial Institutions and Services > G21 - Banks ; Depository Institutions ; Micro Finance Institutions ; Mortgages O - Economic Development, Innovation, Technological Change, and Growth > O4 - Economic Growth and Aggregate Productivity > O47 - Empirical Studies of Economic Growth ; Aggregate Productivity ; Cross-Country Output Convergence |
Item ID: | 106015 |
Depositing User: | DR Noha Emara |
Date Deposited: | 21 Mar 2022 09:32 |
Last Modified: | 21 Mar 2022 09:32 |
References: | Albiman, M. & Sulong, Z. (2017). The linear and non-linear impacts of ICT on economic growth of disaggregate income groups within SSA region. Telecommunications Policy, 41, 555-572. Arellano, M., & Bover, O. (1995). Another look at the instrumental variable estimation of error-components models. Journal of econometrics, 68(1), 29-51. Bailliu, Jeannine N., Garcés, D., Kruger, M. & Messmacher, M. (2003). Explaining and Forecasting Inflation in Emerging Markets: The Case of Mexico. Bank of Canada. Retrieved from this link. Barefoot, Kevin, et al. "Defining and measuring the digital economy." US Department of Commerce Bureau of Economic Analysis, Washington, DC 15 (2018). Bernanke, Ben S. (2010). Opening remarks: the economic outlook and monetary policy. Proceedings-Economic Policy Symposium-Jackson Hole. Federal Reserve Bank of Kansas City. Bhatnagar, Sanjana, et al. (2017). Low inflation in advanced economies: facts and drivers. Bank of Canada (Banque du Canada). Retrieved from this link. Blundell, R., & Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of econometrics, 87(1), 115- 143. Blundell, R., Bond, S., & Windmeijer, F. (2001). Estimation in dynamic panel data models: improving on the performance of the standard GMM estimator. Emerald Group Publishing Limited. Borio, CEV, & Filardo, A.J. (2007). Globalization and inflation: New cross-country evidence on the global determinants of domestic inflation. BIS Working Paper No. 227, Available at SSRN: https://ssrn.com/abstract=1013577 or http://dx.doi.org/10.2139/ssrn.1013577 Cebula, Richard. (2015). On the Nominal Interest Rate Yield Response to Net Government Borrowing in the U.S.: GLM Estimates, 1972-2012. International Journal of Applied Economics, 12(1), 1-14 Charbonneau, Karyne, et al. (2017). Digitization and Inflation: A Review of the Literature. Bank of Canada. Choi, S., Furceri, D., Loungani, P., Mishra, S., & Poplawski-Ribeiro, M. (2018). Oil prices and inflation dynamics: Evidence from advanced and developing economies. Journal of International Money and Finance, 82, 71-96. Ciccarelli, Matteo, & Benoît Mojon. (2005). Global inflation. ECB working paper. No. 537. Coibion, Olivier, & Gorodnichenko, Y. (2015). Is the Phillips Curve Alive and Well after All? Inflation Expectations and the Missing Disinflation. American Economic Journal: Macroeconomics, 7 (1): 197-232. DOI: 10.1257/mac.20130306. Corbae, D., & Ouliaris, S., (2002). Extracting Cycles from Non-Stationary Data (unpublished; Austin and Singapore: University of Texas and National University of Singapore). Csonto, Mr Balazs, Yuxuan Huang, & Mr Camilo E. Tovar Mora. (2019). Is digitization driving domestic inflation? International Monetary Fund. Emara, N., and El Said, A. (2020). Sovereign Ratings, Foreign Direct Investment and Contagion in Emerging Markets: Does Being a BRICS Country Matter? International Journal of Finance and Economics, 25(4). https://doi.org/10.1002/ijfe.2062 Emara, N. and Zhang, Y. (2021). The Non-Linear Impact of Digitization on Remittances Inflow: Evidence From the BRICS, Telecommunications Policy, forthcoming. Federal Reserve Bank of St. Louis. (2020). Are you open? Retrieved from this link. Hodrick, R.J., & Prescott, E.C. (1997). Post-war U.S. business cycles: An empirical Investigation. Journal of Money, Credit, and Banking, 29, 1– 16. Gerlach, S. & Svensson, L.E.O (2003). Money and Inflation in the euro area: A case for monetary indicators? Journal of Monetary Economics 50, 1649-1672. Ghosh, A. (2014). How do openness and exchange-rate regimes affect inflation? International Review of Economics & Finance, 34, 190-202. Hanif, M. N., & Batool, I. (2006). Openness and inflation: A case study of Pakistan. Pakistan Business Review, 7(4). Hawash, R., and Lang, G. (2010). The impact of information technology on productivity in developing countries. Faculty of Management Technology Working paper no. 19. Cairo, Egypt: German University of Cairo. Hondroyiannis, G., Swamy, P. A. V. B., & Tavlas, G. S. (2007). The New Keynesian Phillips Curve and Lagged Inflation: A Case of Spurious Correlation? Bank of Greece Working Paper No. 57. International Monetary Fund. (2018). "Chapter 3: Challenges for Monetary Policy in Emerging Markets as Global Financial Conditions Normalize.” World Economic Outlook: Challenges to Steady Growth. International Monetary Fund. (2018). Measuring the Digital Economy. Policy Papers. Retrieved from this link. International Monetary Fund Research Dept. (2013). "Chapter 3. The Dog That Didn’t Bark: Has Inflation Been Muzzled or Was It Just Sleeping?" World Economic Outlook. https://doi.org/10.5089/9781616355555.081 Jašová, M., Moessner, R., & Takáts, E. (2020). Domestic and global output gaps as inflation drivers: What does the Phillips curve tell? Economic Modelling, 87, 238-253. Kamber, Güneş, & Benjamin Wong. (2020). Global factors and trend inflation. Journal of International Economics 122, 103265. Katz, R., & Callorda, F. (2018). Accelerating the development of Latin American digital ecosystem and implications for broadband policy. Telecommunications Policy, 42(9), 661-681. Katz, R. (2020). Economic Impact of COVID-19 on digital infrastructure, International Telecommunication Union report, ITU Publications, ISBN 978-92-61-32291-5 (Paper version) Katz, R., Jung, J., & Callorda, F. (2020). Can Digitization Mitigate the Economic Damage of a Pandemic? Evidence from SARS, Telecommunications Policy, 44, 1020-44. Kuttner, Ken, & Robinson, T. (2010). Understanding the flattening Phillips curve. The North American Journal of Economics and Finance 21.2 110-125. Lang, G. (2009). Measuring the Returns of R&D: An Empirical Study of the German Manufacturing Sector over 45 years. Research Policy, 38, 1438-1445. Mukhtarov, S., Mammadov, J., & Ahmadov, F. (2019). The impact of oil prices on inflation: The case of Azerbaijan. International Journal of Energy Economics and Policy, 9(4), 97. Mody, Ashoka. (2004). What is an emerging market? No. 4-177. International Monetary Fund. Nguyen, G. (2014). Estimating the Output Gap to Supply Management of Interest Rates in Vietnam, Graduate Institute of International and Development Studies, Working Paper 05/2014. Retrieved from this link. OECD. “Business Insights on Emerging Markets.” OECD Development Center and OECD Emerging Markets Network. 2019. Okun, A. M., 1962, “Potential GDP: Its Measurement and Significations,” Cowles Foundation Paper 190, 1962 Proceedings of the Business and Economic Statistics Section of the American Statistical Association. Reprinted in A. M. Okun, 1970, The Political Economy of Prosperity, pp. 132–45 (New York: Norton). Romer, D. (1993). Openness and inflation: theory and evidence. The quarterly journal of economics, 108(4), 869-903. Samimi, A. J., Ghaderi, S., Hosseinzadeh, R., & Nademi, Y. (2012). Openness and inflation: New empirical panel data evidence. Economics Letters, 117(3), 573-577. Svensson, Lars E.O. (1997), Inflation Forecast Targeting: Implementing and Monitoring Inflation Targets. European Economic Review 41(6), 1111—1146. Stock, J. and Watson, M. (2019), Introduction to Econometrics, 4th Edition, Pearson, New York. ISBN 978-0134461991. Williams, John C. (2006). The Phillips curve in an era of well-anchored inflation expectations. Federal Reserve Bank of San Francisco. Valadkhani, A. (2014). Switching impacts of the output gap on inflation: Evidence from Canada, the UK and the US. International Review of Economics & Finance, 33, 270-285. Vu, K. M. (2011). ICT as a source of economic growth in the information age: Empirical evidence from the 1996–2005 period. Telecommunications Policy, 35(4), 357–372. Yi, M. H., & Choi, C. (2005). The effect of the internet on inflation: Panel data evidence. Journal of Policy Modeling, 27(7), 885-889. World Bank Group. (2016). World development report 2016: digital dividends. World Bank Publications. Retrieved from this link. World Development Indicators Database. World Bank. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/106015 |