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A constrained nonparametric regression analysis of factor-biased technical change and TFP growth at the firm level

机译:对企业层面因素偏向技术变化和TFp增长的约束非参数回归分析

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摘要

Using firm-level data for Belgium, we study the validity of Hicks neutrality in several sectors that cover the spectrum of knowledge intensity. We find that Hicks neutrality is clearly not supported by the data in different sectors. The results are not sensitive to altering the specification of the technology by including firm age and R&D into the analysis. We also reject Hicks neutrality for a balanced sample, pointing to `within-firm' factor-biased technical change and we also find factor-biased technical change in the pre-crisis era, indicating that unobserved heterogeneity in demand does not drive the results. Overall, our results point towards low-skilled laboursaving and materials-using technical change. So far, this has received little attention and may be linked to ofshoring and global value chain networks. Finally, we show that nonparametric estimates of TFP change that allow for factor biases support the evidence of the recent slowdown in TFP growth in many manufacturing sectors in Belgium. Estimations of TFP and technical change are shown to be sensitive to the estimation method and the specification of the factor bias of technical change.
机译:使用比利时的公司级数据,我们研究了希克斯中性在覆盖知识强度范围的多个部门中的有效性。我们发现希克斯中立性显然不受不同部门数据的支持。通过将公司年龄和研发纳入分析,结果对更改技术规格不敏感。我们也拒绝希克斯保持平衡的样本的中立性,指出“企业内部”的因素偏向的技术变化,并且我们也发现了危机前时代因素偏向的技术变化,这表明需求中未观察到的异质性并不能推动结果。总体而言,我们的结果表明,低技能的劳动力节省和材料使用技术变革。到目前为止,这很少受到关注,并且可能与离岸外包和全球价值链网络有关。最后,我们表明,TFP变化的非参数估计允许出现因素偏倚,这支持了比利时许多制造业最近TFP增长放缓的证据。 TFP和技术变化的估算显示出对估算方法和技术变化因素偏倚的规范敏感。

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