As services today are of great complexity and usually a bundle of different individual inputs, it is sometimes hard to identify characteristics for the overall service sector. As such, empirical research on productivity is less common in this sector. Given the connection between Total Factor Productivity (TFP) and economic growth, and the importance of services for overall economic activity, it is crucial to study, at the firm level, which factors may drive TFP growth in this particular sector. Our empirical assessment is based on a firm-level panel dataset covering Portuguese service firms, between 2010 and 2016. We first estimate TFP through the Levinsohn-Petrin (LP) algorithm and compare results amongst different traditional estimating methods. Secondly, we conclude our econometric framework with a fixed-effects estimation, hence, trying to shed further light on the determinants of TFP growth in the Portuguese service sector. We found evidence for a positive correlation between financial health, innovation, wage premium, and TFP growth, whereas capital intensity, training, and age show a non-linear relationship with TFP growth.

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