Predictive accuracy tests for prediction of economic growth based on broadband infrastructure

Walter Mayer, Gary Madden, and Xin Dang

This chapter investigates whether predictions of future economic growth can be improved by using standard measures of broadband infrastructure. The investigation is carried out by comparing the predictive accuracy of dynamic panel models of economic growth estimated with and without measures of broadband infrastructure. The more powerful versions of the Diebold-Mariano-West (DMW) and Morgan-Granger-Newbold (MGN) test are employed for predictive accuracy comparison. It is evident that measures of broadband infrastructure can improve predictions of GDP growth after controlling for standard growth determinants.

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Year of publication:	2020
Authors:	Mayer, Walter James ; Madden, Gary ; Dang, Xin
Published in:	Applied economics in the digital era : essays in honor of Gary Madden. - Cham : Palgrave Macmillan, ISBN 978-3-030-40600-4. - 2020, p. 137-149
Subject:	Prognoseverfahren \| Forecasting model \| Wirtschaftswachstum \| Economic growth \| Breitbandkommunikation \| Broadband communications \| Schätzung \| Estimation \| Theorie \| Theory \| Prognose \| Forecast