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Using Electronic Payment Data to Nowcast GDP Growth Rate and Private Consumption Growth rate of Iran
Shabanpour, Mohammad Hossian | 2019
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- Type of Document: M.Sc. Thesis
- Language: Farsi
- Document No: 52218 (44)
- University: Sharif University of Technology
- Department: Management and Economics
- Advisor(s): Barkchian, Mahdi
- Abstract:
- This research uses the Comovement between electronic payment data with GDP growth rate and private consumption growth rate to nowcast these two important macroeconomics variables. We use point of sale data set from the beginning of 1392 to the end of autumn of 1395 in monthly frequency in mixed data sampling model to use the Comovement for Nowcasting. Besides, we use two other data set, sale of industrial electricity and sale of agricultural electricity. All of this data set gives a real time sense of macroeconomics. They are also free of mistake. We show that using of this data set in the frame of MIDAS can decrease the root mean square forecast error (RMSFE) relative to auto regressive model
- Keywords:
- Real Time Economics ; Forecasting ; Now Casting ; Gross Domestic Product ; Private Consumption ; Electronic Payment System
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