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Forecasting aggregate productivity using information from firm-level data
Bartelsman, Eric J.; Wolf, Zoltán - 2009
This paper contributes to the productivity literature by using results from firm-level productivity studies to improve … forecasts of macro-level productivity growth. The paper employs current research methods on estimating firm-level productivity … to build times-series components that capture the joint dynamics of the firm-level productivity and size distributions …
Persistent link: https://www.econbiz.de/10011378362
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Forecasting Aggregate Productivity Using Information from Firm-Level Data
Bartelsman, Eric J. - 2017
This paper contributes to the productivity literature by using results from firm-level productivity studies to improve … forecasts of macro-level productivity growth. The paper employs current research methods on estimating firm-level productivity … to build times-series components that capture the joint dynamics of the firm-level productivity and size distributions …
Persistent link: https://www.econbiz.de/10012976846
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Forecasting Aggregate Productivity using Information from Firm-Level Data
Bartelsman, Eric J.; Wolf, Zoltan - 2009
This paper contributes to the productivity literature by using results from firm-level productivity studies to improve … forecasts of macro-level productivity growth. The paper employs current research methods on estimating firm-level productivity … to build times-series components that capture the joint dynamics of the firm-level productivity and size distributions …
Persistent link: https://www.econbiz.de/10010325710
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Exploiting technological indicators for effective technology merger and acquisition (M&A) predictions
Yang, Chin-sheng; Wei, Chih-ping; Chiang, Yu-hsun - In: Decision sciences : DS 45 (2014) 1, pp. 147-174
Persistent link: https://www.econbiz.de/10010344814
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Enterprise Spending on Cloud Services Will Expand Us GDP, Jobs and Tech Spending. A New Forecast Predicts the Us Economy Will Gain Nearly 3 Trillion Dollars in GDP and 8 Million Ne...
Cohen, Robert B - 2016
, jobs and technology spending. The preliminary forecast predicts the US economy will gain nearly 3 trillion Dollars in GDP … and 8 Million new Jobs from 2015 to 2025. This suggests more substantial gains in US growth and productivity based upon a …
Persistent link: https://www.econbiz.de/10012992951
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Income Growth in the 21st Century : Forecasts with an Overlapping Generations Model
de la Croix, David - 2007
We forecast income growth over the period 2000-2050 in the US, Canada, and France. To ground the forecasts on relationships that are as robust as possible to changes in the environment, we use a quantitative theoretical approach which consists in calibrating and simulating a general equilibrium...
Persistent link: https://www.econbiz.de/10012729226
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Artificial neural network regression models : predicting GDP growth
Jahn, Malte - 2018
Artificial neural networks have become increasingly popular for statistical model fitting over the last years, mainly due to increasing computational power. In this paper, an introduction to the use of artificial neural network (ANN) regression models is given. The problem of predicting the GDP...
Persistent link: https://www.econbiz.de/10011897260
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Consumer confidence indicators and economic fluctuations in Nigeria
Ibrahim, Adamu; Bawa, Sani; Abdullahi, Ismaila S.; … - In: CBN journal of applied statistics 6 (2015) 1, pp. 285-300
Consumer confidence indicators(CCI) serve as a veritable tool for providing useful information to policy makers, forecasters and the general public. Recent studies indicated the possibility of a slowdown in output, resulting from the pessimism of consumers in their expectations about the general...
Persistent link: https://www.econbiz.de/10011473528
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Method for forecasting DI based on triz technology system evolution theory
Sun, Jianguang; Tan, Runhua - In: International journal of innovation and technology … 9 (2012) 2, pp. 1-20
Persistent link: https://www.econbiz.de/10009582621
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Technological forecasting : tools, techniques, applications
Lien, Arthur P.; Anton, Paul; Duncan, Joseph W. - 1968
Persistent link: https://www.econbiz.de/10003196645