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Production Forecasting and Evaluation of Investments Using Allen Two-Factor Production Function
Koval, Viktor - 2018
Persistent link: https://www.econbiz.de/10012917179
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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...
Persistent link: https://www.econbiz.de/10011378362
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Cross-sectional aggregation of non-linear models
VanGarderen, Kees Jan; Lee, Kevin C.; Pesaran, M. Hashem - 1998
Persistent link: https://www.econbiz.de/10000671944
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Forecasting aggregate productivity using information from firm-level data
Bartelsman, Eric J.; Wolf, Zoltán - 2009
Persistent link: https://www.econbiz.de/10003851120
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Forecasting aggregate productivity using information from firm-level data
Bartelsman, Eric J.; Wolf, Zoltán - In: The review of economics and statistics 96 (2014) 4, pp. 745-755
Persistent link: https://www.econbiz.de/10010488056
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Cross-sectional aggregation of non-linear models
VanGarderen, Kees Jan; Lee, Kevin C.; Pesaran, M. Hashem - In: Journal of econometrics 95 (2000) 2, pp. 285-331
Persistent link: https://www.econbiz.de/10001435991
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Long-run growth projections and the aggregate production function : a survey of models used by the US Government
Stiroh, Kevin J. - In: Contemporary economic policy : a journal of Western … 16 (1998) 4, pp. 467-479
Persistent link: https://www.econbiz.de/10001250083
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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...
Persistent link: https://www.econbiz.de/10012976846
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Forecasting the propagation of pandemic shocks with a dynamic input-output model
Pichler, Anton; Pangallo, Marco; Del Rio-Chanona, Rita Maria - In: Journal of economic dynamics & control 144 (2022), pp. 1-34
Persistent link: https://www.econbiz.de/10013543120
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Improving the predictive accuracy of production frontier models for efficiency measurement using machine learning : the LSB-MAFS method
Guillen, María D.; Aparicio, Juan; Zofío, José L.; … - In: Computers & operations research : an international journal 171 (2024), pp. 1-19
Persistent link: https://www.econbiz.de/10015066453