Estimating and Forecasting the Growth Model by Automatrics Technique: A Cross Country Analysis

Authors

  • Nasir Mahmood Lecturer in Economics, Punjab Higher Education Department, Punjab, Pakistan
  • Benish Rashid Ph. D Scholar, Pakistan Institute of Development Economics, Islamabad, Pakistan
  • Dr. Atiq ur Rehman Associate Professor, Kashmir Institute of Economics, Azad Jammu and Kashmir, Pakistan

DOI:

https://doi.org/10.35484/pssr.2023(7-I)03

Keywords:

Automatrics, Cross Country, Economic Growth, Forecast

Abstract

The selection of a potential variable is issues of great concern. In this study six growth models have been used for analyzing the main determinants of economic growth in case of 43 cross countries analysis. Therefore, by using these six models we have tested all the potential variables through modern shrinkage procedure automatrics. Data from 1980 to 2020 were used to analyze the cross country growth factors. Current study looked at about 43 countries with modeling these different comparative studies based on growth modeling By evaluating the data and using the modern econometrics technique automatrics, different sets of economic variables has been used to evaluate which sets of the economic variables are important to boost up the growth level of the country. And found variable exports of goods and services (LNREXP) gross fixed capital formation (LNGCF) .Domestic investment (DI),Total labor force (LNTLF) current and lag values found highly.

Downloads

Published

2023-01-11

Details

    Abstract Views: 79
    PDF Downloads: 67

How to Cite

Mahmood, N., Rashid, B., & Rehman, A. ur. (2023). Estimating and Forecasting the Growth Model by Automatrics Technique: A Cross Country Analysis. Pakistan Social Sciences Review, 7(1), 24–35. https://doi.org/10.35484/pssr.2023(7-I)03