Measuring Economic Uncertainty in Iran: Integrating Economic and Institutional Factors | ||
| Iranian Journal of Economic Studies | ||
| دوره 11، شماره 2 - شماره پیاپی 22، اسفند 2022، صفحه 323-350 اصل مقاله (541.02 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22099/ijes.2024.49143.1946 | ||
| نویسندگان | ||
| Tofigh Beigi؛ Ahmad Sadraei Javaheri* ؛ Ali Hussein Samadi؛ Ebrahim Hadian | ||
| Department of Economics, Shiraz University, Shiraz, Iran. | ||
| چکیده | ||
| Uncertainty is a controversial issue in the philosophy and methodology of economics. Since economic uncertainty is not directly observable, quantifying it is confronted with significant complexities. A common method in this context involves computing the proxy of uncertainty using time series models. Within this framework, the conditional volatility of the unforecastable components of time series is considered as an uncertainty measure. In this regard, the basic forecasting model should be specified in a way that its forecast errors lack any predictable content. In previous studies, the focus has solely been on economic and financial variables in computing the uncertainty measure, while the role of institutional factors has been neglected in the forecasting model. Meanwhile, based on economic literature, institutions play an important role in controlling and reducing uncertainty. Therefore, in the present study, the economic uncertainty measure is extracted based on a Large-dimensional dynamic factor model, employing a set of 72 macroeconomic and institutional time series for the Iranian economy. The results indicate that overlooking institutional factors in the forecasting model can lead to an overestimation of economic uncertainty. Our perspective enhances the accuracy of uncertainty measurement and provides a more comprehensive understanding of the determinant factors of economic uncertainty. | ||
| کلیدواژهها | ||
| Economic uncertainty؛ Stochastic processes؛ Dynamic factor models؛ Institutional factors | ||
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آمار تعداد مشاهده مقاله: 411 تعداد دریافت فایل اصل مقاله: 153 |
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