V. Basil Hans,
Sajimon P.P.,
- Research Professor, Srinivas University, Mangalore, Karnataka, India
- Associate Dean, School of Arts & Humanities, St Aloysius Deemed University, Mangaluru, Karnataka, India
Abstract
This is an article on empirical economics and computer data processing that discusses how computational technology have changed empirical research methods. It analyses how computer systems have changed data management, statistical modelling, and econometric analysis, focussing on large-scale data processing, algorithmic efficiency, and repeatability. Forecasting, policy simulation, and panel data analysis are key uses. The paper also addresses data quality, computational, and ethical issues in economic data use. The paper highlights data science’s expanding influence on economic inquiry by combining empirical methodologies with computational tools. Computer technology in the development of modern society is becoming increasingly prominent. Computer data processing technology, as an important computer technology, is particularly widely used in economic field. This article analyzes the application value of data processing in the economic field. Based on this, in view of the cloud storage problem, a storage task allocation mechanism based on improved genetic algorithms and a cloud storage data allocation based on improved dynamic programming are proposed. These two algorithms have greatly improved the utilization of storage nodes and optimized system load balancing. They also expounded the computer data processing to economic field, and strengthened the analysis and research on computer processing technology.
Keywords: Empirical Economics, Data Processing, Econometrics, Computational Methods, Big Data Analysis
[This article belongs to Research & Reviews : Journal of Statistics ]
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Research & Reviews : Journal of Statistics
| Volume | 15 | |
| Issue | 01 | |
| Received | 05/12/2025 | |
| Accepted | 17/04/2026 | |
| Published | 30/04/2026 | |
| Publication Time | 146 Days |