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Thanks to the increasing availability of granular, yet high-dimensional, firm level data, machine learning (ML … learning (SL), the branch of ML dealing with the prediction of labelled outcomes, has been used to better predict firms …
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multi-period forecasting model that is estimated under both adaptive learning and rational expectations. Term structure … neglected in the adaptive learning literature. Relative to the rational expectations version, our estimated DSGE model under … adaptive learning largely improves the model fit to the data, which include not just macroeconomic data but also the yield …
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Entrepreneurship is nothing but identification, appraisal and pursuit of opportunities in assorted contexts. The …
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I theoretically develop and empirically investigate the role of industry and startup experience on the forecast performance of 2,304 entrepreneurs who have started new businesses. Using the Kauffman Firm Survey I show that industry experience is associated with more accurate and less biased...
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The emergence of entrepreneurship a hopeful occupational option makes it pertinent to understand the prominent factors …. The findings provide scope for a wider study of the similar phenomenon to generalize and transcript into entrepreneurship …
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