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There has been increased interest in the use of "big data" when it comes to forecasting macroeconomic time series such as private consumption or unemployment. However, applications on forecasting GDP are rather rare. In this paper we incorporate Google search data into a Bridge Equation Model, a...
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-recognizes learning and innovation in agriculture and its crossover supplier segments with manufacturing. The sections analyze …. It then analyzes the learning implications of two theories - unlimited labor and induced innovation - on economic … models that connect learning and innovation to growth require closer attention and have important developmental consequences …
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Skilled labor is a key input to the innovation process. A shortage in supply of skilled labor may hence impede … innovation activities, resulting in lower productivity gains. While governments are concerned about these likely negative impacts …, there is only limited empirical evidence whether and to what extent labor shortage affects innovation activities. The paper …
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Hidden Champions (HCs) are small- and medium-sized global market leaders that repeatedly show superior innovation … transformation than non-HCs firms. To test this hypothesis, I use data from the Mannheim Innovation Panel. This allows me to identify …
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We study the evolution of patenting in China from 1985-2019. We use a Large Language Model to measure patent importance based on patent abstracts and classify patent ownership using a comprehensive business registry. We highlight four insights. First, average patent importance declined from...
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