Free online course¶
Users of the pyStoNED package may benefit of the free online course “Productivity and Efficiency Analysis”(30E00300) organized at Aalto University of Business, Spring 2020, including video lessons, empirical examples and supporting materials. The course materials are available on the YouTube channel.
Table of contents:
Lesson 1a: What is productivity and why it matters?
Lesson 1b: Taxonomy of frontier estimation methods
Lesson 1c: Productivity analysis in action: Incentive regulation of electricity distribution networks
Lesson 2a: Application of DEA
Lesson 2b: DEA formulations
Lesson 2c: Production theory
Lesson 2d: Statistical approach to DEA
Lesson 2e*: Pre-history of DEA in economics
Lesson 3a: Parametric approach
Lesson 3b: Basics of SFA
Lesson 3c: Application of SFA
Lesson 4a: Application of StoNED
Lesson 4b: StoNED estimation
Lesson 4c: Convex regression
Lesson 4d: Decomposing the residual
Lesson 4e*: Quantiles and expectiles
Lesson 5a: What are z-variables and where to put them?
Lesson 5b: SFA modeling of z-variables
Lesson 5c: Contextual variables in DEA
Lesson 5d: Semi-nonparametric approach
Lesson 6a: Synergies of joint production
Lesson 6b: Distance functions and DEA
Lesson 6c: Bad outputs
Lesson 6d: Parametric distance functions
Lesson 6e: StoNED with multiple outputs
Lesson 7a: Growth accounting and index numbers
Lesson 7b: Malmquist index
Lesson 7c: Application of Malmquist index
Lesson 7d: Case: Green TFP growth
Lesson 8a: Entry & exit
Lesson 8b: Share weights
Lesson 8c: Application to Finnish agriculture