Learn · Applied Production Analysis using MATLAB
Lecture 11 of 63Week 3
Technology: Properties and Empirical Aspects
Prof. Vipin V · IISER Bhopal
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- Applied Production Analysis using MATLAB, IISER Bhopal (at NPTEL)
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All the lectures
- Performance Evaluation Framework
- Introduction to MATLAB for Production Analysis: Getting Started with the Environment (Part I)
- Introduction to MATLAB for Production Analysis: Getting Started with the Environment (Part II)
- Input-Output Data for Applied Production Analysis (Part I)
- Input-Output Data for Applied Production Analysis (Part II)
- Estimating production function: Cobb-Douglas production function
- Estimating production function:Translog production functions
- Estimating Cobb-Douglas and Translog production functions using MATLAB (Part I)
- Estimating Cobb-Douglas and Translog production functions using MATLAB (Part II)
- Moving Forward: An Evaluation Roadmap for Applied Production Analysis (Tutorial)
- Technology: Properties and Empirical Aspects
- Production Function: Theoretical and Empirical Aspects
- Technical Efficiency
- Technical Efficiency, Allocative Efficiency and Economic Efficiency
- Data Preparation for Production Analysis using MATLAB
- Corrected ordinary least squares (COLS) and Corrected Mean Absolute Deviation (CMAD)
- COLS and CMAD using MATLAB
- Modified ordinary least squares (MOLS)
- Stochastic Frontier Analysis: Introduction
- Stochastic Frontier Analysis: Estimation
- Stochastic Frontier Analysis using MATLAB
- Data Envelopment Analysis (DEA)
- DEA: CCR and BCC Models
- DEA using MATLAB: Estimation and Interpretation
- Extensions of Basic DEA Models
- Create Your Own DEA MATLAB Function (using linprog)
- Estimation of Extended DEA Models Using MATLAB: Sequential Frontier
- Estimation of Extended DEA Models Using MATLAB: Group Frontier
- Super-efficiency DEA Models
- Estimating Super Efficiency DEA Models using MATLAB
- Free Disposal Hull (FDH) approach
- Free Disposal Hull (FDH) approach: MATLAB Example
- Limitations of Conventional DEA Model: Bias and Serial Correlation
- Basic Bootstrap (Jackknife) DEA Model: MATLAB Example
- Bootstrap DEA Models: A Statistical Perspective on Simar–Wilson Algorithms
- Simar–Wilson Bootstrap Procedures: Algorithms #1 and #2
- Bootstrap DEA Models: MATLAB Example (Part I)
- Bootstrap DEA Models: MATLAB Example (Part II)
- Total factor productivity and The Solow residual
- Fisher Productivity Index
- Tornqvist Productivity Index
- Estimation of Fisher and Tornqvist Productivity Index using MATLAB
- Malmquist Productivity Index: An Introduction
- Decomposition of Malmquist Productivity Index - Part I
- Decomposition of Malmquist Productivity Index - Part II
- Estimation of Malmquist Productivity Index using MATLAB - Part I
- Estimation of Malmquist Productivity Index using MATLAB - Part II
- Bootstrap based bias correction of the Malmquist Productivity Index
- An introduction to Parametric approaches of measuring productivity
- Parametric approaches of measuring productivity: MATLAB Example
- Semi-parametric approaches of measuring productivity
- Estimation of Olley & Pakes and Levinsohn & Petrin Models using MATLAB
- Topics Covered So Far (Tutorial Summary)
- Energy Efficiency Estimation using DEA
- Energy Efficiency using DEA: MATLAB Example
- Environmental Efficiency and Green Total Factor Productivity - Part I
- Environmental Efficiency and Green Total Factor Productivity - Part II
- Environmental Efficiency and Green Total Factor Productivity: MATLAB Example
- Applications of Efficiency and Productivity Analysis Across Diverse Research Fields
- Applied Production Analysis for Empirical Studies: Methods and Practice
- Applied Production Analysis: Emerging Trends and Challenges — A Scholar’s Perspective
- Integration of AI and ML Tools for Next Generation Applied Production Analysis
- Advances in DEA Methodology: Network DEA and Game-Theoretic Approaches