scholarly journals A Refined Model to Predict Near-Term US Real GDP Growth

2021 ◽  
Vol 23 (5) ◽  
Keyword(s):  
Real Gdp ◽  
2016 ◽  
Vol 106 (4) ◽  
pp. 1015-1045 ◽  
Author(s):  
Alan S. Blinder ◽  
Mark W. Watson

The US economy has performed better when the president of the United States is a Democrat rather than a Republican, almost regardless of how one measures performance. For many measures, including real GDP growth (our focus), the performance gap is large and significant. This paper asks why. The answer is not found in technical time series matters nor in systematically more expansionary monetary or fiscal policy under Democrats. Rather, it appears that the Democratic edge stems mainly from more benign oil shocks, superior total factor productivity (TFP) performance, a more favorable international environment, and perhaps more optimistic consumer expectations about the near-term future. (JEL D72, E23, E32, E65, N12, N42)


2022 ◽  
pp. 126-146
Author(s):  
S. G. Marichev

The paper attempts to estimate, in monetary terms, the volume of free digital services in GDP while assessing the contribution of digitalization to changes in welfare and economic growth. Approaches to such an estimation are analyzed and criticized. In particular, the calculation of the added value created in the digital sector does not properly reflect the economic effect of digitalization. Alternative auxiliary methods for estimating the contribution of digitalization to GDP growth are considered: the creation of satellite accounts of the digital economy within the SNA; the categorization and calculation of “purely” digital goods. The paper analyzes the methodology of calculating GDP which takes into account consumer surpluses from the use of free digital goods. The advantages of this methodology are outlined, including the consideration of a significant part of the digital sector of the economy in the calculation of GDP, as well as the relative ease of its use. This methodology was tested by drawing on the example of the Republic of Bashkortostan.


2014 ◽  
Vol 2014 (17) ◽  
Author(s):  
Kevin L. Kliesen
Keyword(s):  

Author(s):  
Maman Ali M. Moustapha ◽  
Qian Yu

This paper analyzes the effect of research and development (R&D) expenditures on economic growth in the Organization of Economic Cooperation and Development (OECD) countries over the period 2000-2016. This study conducts an empirical analysis using a multiple regression model. The main findings confirm that an increase in research and development expenditure by 1% would generate an increase of real GDP growth rate to 2.83 %. The implication emerging from this study is that government and institutions need to increase investment in R&D expenditures to fulfill inclusive economic growth perspective.


Author(s):  
Vasco M Carvalho ◽  
Makoto Nirei ◽  
Yukiko U Saito ◽  
Alireza Tahbaz-Salehi

Abstract Exploiting the exogenous and regional nature of the Great East Japan Earthquake of 2011, this paper provides a quantification of the role of input-output linkages as a mechanism for the propagation and amplification of shocks. We document that the disruption caused by the disaster propagated upstream and downstream along supply chains, affecting the direct and indirect suppliers and customers of disaster-stricken firms. Using a general equilibrium model of production networks, we then obtain an estimate for the overall macroeconomic impact of the disaster by taking these propagation effects into account. We find that the earthquake and its aftermaths resulted in a 0.47 percentage point decline in Japan’s real GDP growth in the year following the disaster.


2019 ◽  
Vol 65 (1) ◽  
pp. 88-96
Author(s):  
Lauren Hackler ◽  
Frank Hefner ◽  
Mark D. Witte

Since beginning operations in 1947, the International Monetary Fund (IMF) has evolved from its original purpose of overseeing the world’s monetary system to becoming a loan administrator for member nations facing extreme economic crises. Today, the IMF provides conditional lending programs to catalyze economic recovery and growth in recipient countries. Critics of these programs cite various reasons for conditional loan program failures, naming the borrowing countries, creditor countries, and/or the IMF itself as responsible. Using data from 8,377 loan conditions associated with 93 countries’ IMF loan arrangements from 2000 to 2014, this article studies the effects of complying with individual conditions on the borrowing countries’ real gross domestic product (GDP) growth rate. Our results suggest that real GDP growth rates are directly affected by meeting the compliance standards of select loan conditions. JEL Classifications: 019, F35


2020 ◽  
Vol 58 (3) ◽  
pp. 197-220
Author(s):  
Evžen Kočenda ◽  
Karen Poghosyan
Keyword(s):  

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