Saving-Investment Correlation and Capital Mobility- Feldstein and Horioka Approach
2015
0 görüntülenme
0 i̇ndirme
Danışman: Çağay Coşkuner
Özet (EN)
The purpose of this paper is to investigate the existence of capital mobility in 10 newly emerging economies by using a model presented first in Feldstein and Horioka (1980). In Feldstein Horioka paper, the beta coefficient (b value) is estimated to measure the relationship between domestic investment and savings. In their original work, Feldstein and Horioka estimated a beta coefficient of 0.87, close to 1, which indicates low capital mobility contrary to the standard economy theory of perfect capital mobility. Using an annual data from 1997-2013 and panel data econometrics regression to test the relationship between savings and investment, we find results that are contradictory to that of Feldstein and Horioka puzzle. In this study, we got a relatively lower beta coefficient indicating there is some extent of capital mobility in the countries we sampled. We carried out further analysis by including the percentage GDP growth rate and inflation rate as control variables in the model since these variables are factors that influences a nation’s domestic investment. Regardless, the saving retention coefficient from all the regression results in this paper is below 0.5, which is relatively far from 1, implying that there is a degree of capital mobility among the sampled countries. Keywords: Saving, Investment, Correlation, Panel data, and Capital mobility.
Yazar
Dr. Peace Ogochukwu Okolie
Bu Yayına Nasıl Atıf Yapılır
Peace Ogochukwu Okolie (Master Thesis). Saving-Investment Correlation and Capital Mobility- Feldstein and Horioka Approach, 2015, Eastern Mediterranean University.
Anahtar Kelimeler
Lisans
Tüm Hakları Saklıdır
Bu eser belirtilen lisans koşulları altında paylaşılmaktadır.
Eastern Mediterranean University tezlerinden daha fazlası
- An Investigation on Time and Cost Overrun in Construction Projects(2012)
- Radial Power-Law Position-dependent Mass, Cylindrical Coordinates, Spectral Signatures(2015)
- Predicting performance level of reinforced concrete structures subject to corrosion as a function of time(2012)
- Some Results on Laguerre Type and Mittag-Leffler Type Functions(2017)
- Deep Learning for Robotics(2020)
- Discussion of Conservation Approaches for the Selected Heritage Buildings in the Walled City of Famagusta(2019)
