2200. Properties of the Translog Production Function with Applications to Synthetic Data Generation
Invited abstract in session WD-60: DEA applications in Economic Modeling, stream Data Envelopment Analysis and its applications.
Wednesday, 14:30-16:00Room: Western LT
Authors (first author is the speaker)
| 1. | Bernadett Bertóková
|
| Department of Applied Mathematics and Statistics, Comenius University in Bratislava | |
| 2. | Maria Trnovska
|
| Dpt. of applied mathematics and statistics, Faculty of Mathematics, Physics and Informatics, Comenius University in Bratislava |
Abstract
The translog production function has gained significant attention in recent years due to its flexibility and ability to model diverse production processes. Unlike the Cobb-Douglas function, the translog function can capture varying elasticities of input substitution and different types of returns to scale. However, it remains a valid production function only when specific parameter conditions are met. In this study, we analyse these conditions and present a methodology for generating synthetic production datasets under both constant and variable returns to scale. These datasets provide a foundation for Monte Carlo simulations, enabling a comprehensive evaluation of Data Envelopment Analysis (DEA) models. The applicability of our approach is further demonstrated through a case study.
Keywords
- Data Envelopment Analysis
Status: accepted
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