Productivity is influenced by several firm-level factors, often latent. When unexplained, this latent heterogeneity can lead to the mismeasurement of productivity differences between groups of firms. We propose a flexible, semi-parametric extension of current production function estimation...

Productivity is influenced by several firm-level factors, often latent. When unexplained, this latent heterogeneity can lead to the mismeasurement of productivity differences between groups of firms. We propose a flexible, semi-parametric extension of current production function estimation...

The study focuses on the question of whether productivity estimates are biased due to the emergence of a new input that is usually omitted: temporary agency worker (TAW). The study analyzes labor productivity and TFP by means of a structural approach using a representative dataset of German...

The study focuses on the question of whether productivity estimates are biased due to the emergence of a new input that is usually omitted: temporary agency worker (TAW). The study analyzes labor productivity and TFP by means of a structural approach using a representative dataset of German...

Various applications require multilevel settings (e.g., for estimating fixed and random effects). However, due to the curse of dimensionality, the literature on non-parametric efficiency analysis did not yet explore the estimation of performance drivers in highly multilevel settings. As such, it...