Total factor productivity estimation for Polish manufacturing industry: A comparison of alternative methods

摘要: The concept of total factor productivity (TFP) and its measurement have been interest to researchers for more than half a century, are intensively discussed topics in debate on economic growth1. This chapter discusses the different problems related methodologies estimating TFP at establishment (sector firm) levels. These include simultaneity selection bias, deflated input output values, endogeneity product choice. It then describes existing techniques overcoming these methodological - specifically, it is shown that addressed sector level by computing using semi parametric technique level. A manufacturing data used three levels aggregation Poland period 1995 2007; results indicate significant growth also intensive dynamic changes over time. from index measures (non-parametric), production function estimation (General Method Moment GMM) – account endogeniety (semi-parametric) provide consistent results. suggests estimates sensitive definitions variables used, biases traditional estimations.sensitive fat tails climate policy based CRRA utility.