This seminar provides comprehensive training in estimating Total Factor Productivity (TFP) at the firm level, focusing on empirical methods and real-world application using software tools. Participants will explore advanced techniques such as non-parametric, parametric, and semi-parametric methods, addressing challenges in production function estimation, and gain skills applicable to economic research and policy analysis.

Topics Covered
Measurement Issues , Productivity and Macroeconomic Performance , Productivity Trajectories in Advanced Economies , Looking at Definitions and Measurement Issues , Productivity and Economic Fundamentals , The Production Function Framework , Definition of TFP , Measurement Challenges , Production Function Specifications , Cobb Douglass vs Translog Production Function , Olley-Pakes Algorithm , Levinsohn-Petrin Method , Ackerberg-Caves-Frazer Approach , The new era of Firm Level Productivity Algorithms , Coding semi-parametric techniques in stata , Endogenous Productivity Spillovers , Measuring Learning by Exporting Gains , Productivity and Gender Differentials , Applications with the EFIGE Data set , Measuring TFP in Manufacturing in Europe , The UK productivity puzzle , Policy Discussion for Productivity Enhancement , Insights about the current big Topics in Productivity Research , OLS Estimator , Mitigating Endogeneity and Simultaneity Bias , GMM estimators , System GMM Estimator , Empirical Applications , Endogeneity Bias , Inputs selection and unobserved productivity shocks , Superlative Index Numbers , Törnqvist-Theil index , Non-Parametric Assumptions , Coding Non-parametric TFP Measures in Stata , Limitations of Non-parametric Approaches