1. Introduction
In emerging economies, the budget deficit (BD) and the current account deficit (CAD) are unresolved problems (Purwono, Mucha, & Mubin, 2018). Generally, these economies faced both problems simultaneously, which caused the country’s twin deficit (TD) situation (Rosenzweig & Tallman, 1993).
Mundell-Fleming (Fleming, 1962; Mundell, 1963) supported the theoretical clarification of TD. They explained that raising the BD leads to an upward burden on the interest rate, which leads to capital inflows and raises the exchange rate. Specifically, an expansive debt-financed fiscal policy raises the rate of interest. Since most economies have a policy of free movement of capital, the increase in interest rate makes it more attractive for stockholders to invest in this country’s financial market. It increases the currency demand, which makes the low-price of imports and exports costlier than the external goods’ prices. Therefore, devaluation of the national currency will cause a rise in imports and, eventually, to CAD (Salvatore, 2006).
Consequently, a raise the BD increases production, and then a high import level leads to an imbalance in CAD with an increase in the exchange rate (Blanchard & Giavazzi, 2002; Hsing, 2017). The exchange rate is mainly calculated by the current account balance or trade balance of a nation in the floating exchange rate system. Consequently, changes in exchange rates influence the trade balance to some extent (Lee & Zhao, 2014; Lee & Brahmasrene, 2018). When BD and CAD are significant, however, the possibility of the relation between them is substantially growing.
Furthermore, during the situation of TD in the economy, other macroeconomic variables may also be affected since increases in BD and CAD may be influenced by the demand and supply sides of production, growth rate, imbalance of current balance, rate of interest, and exchange rate (Hakro, 2009; Rehman, Shamshir, & Shakir, 2020). The changes in exchange rate also have a negative impact on FDI flows over the long term (Lee, 2015), while FDI forms part of the growth of every economy (Lee, Baimukhamedova, & Akhmetova, 2010).
Based on these thoughts, this study examines the economic situation of two emerging economies – Turkey and Iran – during the twin deficit (TD). The reason behind the selection of these two emerging economies is the heterogeneity of the economies. The Turkish economy generally consists of agricultural products, textiles, construction materials, electronic and home appliances production (Daragahi, 2018), while Iran’s economic growth depends on natural resources (oil). However, according to Kia (2008), regardless of this steady growth factor, the Iranian economy faced BD from 1970 toward 2003. Meanwhile, from 1970 to 2003, both economies, Turkey and Iran, have imbalanced fiscal policies and faced the BD. Other than the study of Akbostanci and Tunc (2001), Acaravci and Ozturk (2008) also investigated the relationship between BD and CAD. At the same time, they found TD situation in Turkey conformed to past studies’ outcomes (Bagheri & Hazrati, 2012; Farzinvash & Farahbakhsh, 2011). Furthermore, Kohansal and Alizadeh (2015) also recognized the occurrence of TD in Iran.
The primary purpose of this study is to analyze the relationship between BD and CAD that forms TD in economies of Turkey and Iran and to examine the influence of the TD on the few major macroeconomic indicators such as Gross Domestic Product (GDP), Money Supply (M2), Rate of Interest (IR), and Foreign Direct Investment (FDI).
2. Literature Review
2.1. Evidence of TD
The first part of the literature explains through theoretical literature the relationship between BD and CAD that formed TD in economies, and the second part gathered evidence, which supports the existence of TD situation in Turkey and Iran, and through some studies, how the presence of TD, significant affect macroeconomic variables.
2.2. TD and Economic Theories
The traditional theory of Keynes explained that in the economy, BD caused the CAD because high BD of the economy affects the country’s national absorption through raising the consumer’s disposable income. This situation is favorable for increasing the country’s import that supports the high CAD in the economy (Zengin, 2000). This thought is cleared that when an economy had high BD, their expenses are more than revenues and affected national absorption, therefore this situation prompt an increase in their imports, resulting in CAD (Corsetti & Muller, 2006; Saleh, Nair, & Agalewatte, 2005; Sujianto, Pantas, Mashudi, Pambudi, & Narmaditya, 2020).
This theory supports the causality of TD found through the BD to CAD (Iram, Shadid, Mahara, & Fazli, 2011; Lau & Baharumshah, 2006; Osoro, Gor, & Mbithi, 2014).
Mundell-Fleming (Fleming, 1962; Mundell, 1963) claimed that an increase in BD encourages a high-interest rate that causes the high capital inflows and raises the national currency rate. That situation results in CAD in the country. This argument favors the TD situation, which is caused by the positive relationship between BD and CAD. According to Mohanty (2018), this theory produces strong evidence of the presence of TD through the relation of BD and CAD because an increase in BD affected national capital flow, rate of interest, exchange rate, and exports of the country that caused CAD in the economy; and the economy faced TD.
Although Summers (1988) countered the Keynesian theory and Mundell Fleming’s approach, CAD is the cause of BD, yet he supported the TD approach. According to him, in those economies in which imports are the primary source of production, high imports may cause CAD. In this situation, the country’s production level may be affected, leading to BD; thus, TD will be a definite outcome in the concerned economy. Several researchers such as Kearney and Monadjemi (1990), Khalid and Guan (1999), Fountas and Tsoukis (2004), Kim and Kim (2006), Ganchev, Stavrova, and Tsenkov (2012), Lau, Mansor, and Puah (2010), Xie and Chen (2014), and Nguyen, Hoang, and Nguyen (2020) tested this theory in diverse countries and proved that a higher level of import caused CAD in these economies. That situation moved to the low production level resulting in BD, which provided TD situation in these economies.
Another theory that explained the savings and investment relationship favors the TD approach. Feldstein and Horioka (1980) demonstrated that the significant investment and savings relationship initiated the BD and CAD at a similar period in the economy, which indicated that TD exists in the country. Several researchers tested this theory and confirmed the TD condition through the significant correlation of savings and investment that formed BD and CAD at a similar period in various economies (Altıntaş & Taban, 2011; Bagnai, 2006; Chen & Shen, 2015; Coakley, Kulasi, & Smith, 1996; Fidrmuc, 2003; Lau et al., 2010; Roubini, 1988).
Barro (1989) refuted these views through the Ricardian equivalence theory. He stated that increased BD due to higher government expenditure must be compensated with the overall worth of revenues by the overall current worth of expense. Consequently, today’s tax rate would be corresponding with raising the upcoming tax rate, leaving the rate of interest and private assets unaffected. This theory suggests that the low rate of government savings is encountered through equivalent rises in personal savings rates. Therefore, CAD does not affect government expenses and leaves the budget unaffected. Thus, this theory supported the independent association of BD and CAD, which claimed the absence of TD in the economy (Bolat, Emirmahmutoglu, & Belke, 2014; Halicioglu & Eren, 2017; Sen & Kaya, 2016).
2.3. Evidence of TD in Turkey
There are two opinions about TD in the Turkish economy. Some evidence supports BD and CAD’s association that produces TD situation in the Turkish economy. On the other side, few studies opposed the existence of TD.
From 1987 to 2001, Turkey faced the TD situation; Akbostanci and Tunç (2001) concluded that through a Cointegration and ECM technique test. The outcomes of Acaravci and Ozturk’s (2008) study also support this result. They used the ARDL model on Turkish economic data during 1987–2005 and confirmed the TD in Turkey.
TD was found in Turkey during 1974–2004 through the bidirectional relationship of BD and CAD. Altintas and Taban (2011) claimed this results from the Toda-Yamamoto test of causality. Similarly, from 1980 to 2009, Azgün (2012) verified the TD situation. The study’s outcomes confirmed the correlation between BD and CAD in this period by applying the test of Granger Causality and the VAR model.
Ucal and Bolukbas (2013) conducted a study using quarterly data from 1960–2011. The results pointed out that the correlation between BD and CAD formed the TD situation in Turkey. Similar findings were suggested by Uzumcu and Kanca’s (2013) study that examined yearly data from 1980–2015. In addition to that, Oruc (2017) applied the Phillips test – cointegration on the data from the period 1975–2015; and endorsed the existence TD situation in the Turkish economy.
Contrary to such findings, Kuştepeli (2001) did not find the TD in Turkey. He worked on the Turkish economy from 1977 to 1995. The same was endorsed by the study of Uz (2010) on the quarterly data in the period 1987–2008. Similarly, Sahin’s (2015) study disproved the relation between BD and CAD. He examined quarterly economic data from 1995–2013 through the VAR approach.
2.4. Evidence of TD in Iran
Iran has faced several problems because of the sanctions. Low production, increase BD, unemployment, and inflation caused a devaluation of the Iranian currency, directly connected with Iran’s CAD (Hakimian, 2012). Consequently, many researchers studied Iran’s economy during different periods and found the presence of TD.
Bagheri and Hazrati (2012) established the TD situation in the Iranian economy from 1971 to 2007. They claimed BD and CAD’s relation that confirmed the TD in Iran using the Granger causality test. While from 1959 to 2007, TD was confirmed by Zamanzadeh and Mehrara’s (2011) study. They examined this data through the VECM technique.
Kohansal and Alizadeh (2015) tested the economic data of Iran from 1971–2012. The study results confirmed the association of CAD and BD that caused the TD situation in Iran during this period. They found this outcome by using the Johansen test of cointegration and the VAR technique. Similarly, Saba (2015) examined the Iranian economy’s data from 1970 to 2013 through the ARDL model. She found that an increased inflation rate negatively affected the revenue; due to this negative correlation, the economy faced BD that supported CAD in an economy at a similar time.
Additionally, Farzinvash and Farahbakhsh (2011) analyzed the data from 1950 to 1985. The results proved the existence of TD in the Iranian economy, and his study confirmed the correlation between TD, consumption, and GDP. Correspondingly, Ghaderi, J., Samadi, and Ghaderi, S. (2016) examined the Iranian quarterly data from the VAR model from 1990 to 2011. They found the presence of TD in Iran and confirmed the negative relation between GDP and TD.
3. Methodology
3.1. Data and Variables
This study intended to investigate the presence of TD and its influence on Turkey and Iran’s emerging economies using quarterly time-series data from 1992 to 2019. The data were collected from IFS Statistical data, World Bank data, Economic and published reports of Turkey and Iran’s central banks.
Theories of Twin deficit mentioned that TD’s presence depends on the positive relation of BD and CAD; thus, for empirical analysis of the presence of TD, the study used the macroeconomic variables CAD, which is specified as the net export of commodities and services including net factor income. Also, it used BD, which is the difference in revenue and expense of government. Similarly, for analyzing the influence of TD, it used few major macroeconomic indicators, i.e., Gross Domestic Product (GDP), Money Supply (M2 ), Rate of Interest (IR), and Foreign Direct Investment (FDI) in the model.
3.2. Model
This study’s empirical model uses the National Income function in an open economy to conclude the corresponding BD and CAD that form the TD in an economy. This model can be defined, as.
Y = C + I + G + X – M (1)
Wherever
Y = GDP
C = Government consumption
I = Government investment
G = Government expenses
X = Exports
and M = Import
Then the difference of the import (M) and export (X) is a capital account (CA); thus, equation (1) establishes:
CA = Y – (C + I + G) (2)
Here C + I + G represents domestic absorption, while in a closed economy, investment (I) and Saving (S) are equivalent so,
Y – C = S (3)
and
S = I + CA (4)
The above equation shows the improvement of NI in an open economy through investment.
S = Spvt + Sgovt (5)
In an open economy saving is the sum of private (Spvt) and public saving (Sgovt). In the economy, Spvt measures through the used income of consumers, expressed by disposable income (Yd), while Sgovt is the difference of tax rate (T), expenses of government (G), and government transfer (Rt).
Spvt = Yd – C = (Y – T) – C (6)
Sgovt = T – G – Rt (7)
Equations 5, 6 and 7, concludes that,
S = (Y – T – C) + (T – G – Rt) = I + CA (8)
Spvt = I + CA – Sgovt = I + CA – (T – G – Tr \) (9)
This relation shows the indicators of the economy, current account, investment, and government saving.
CA = Spvt – I + (T – G – Tr) (10)
or
CA = Spvt – I + BB (11)
The last expression shows the economy’s CAD through the difference in savings and investment and BB’s addition. If the difference between investment and savings remains fix, BB’s changes affected the economy’s CAD. It means this situation caused the TD in the economy. This condition has led to the conclusion that BB’s rise leads to a rise in savings because of the future tax rates estimated to rise. As a result, consumer expenditures and CAD do not increase (Osoro et al., 2014).
The literature of TD regarding Turkey and Iran identified the relationship between BD and CAD in different periods. The basis of the literature developed a model to achieve the purpose of the study.
CAD = f (BD, GDP, FDI, M2 , IR) (12)
Expanded multivariable model is,
CAD = β0 + β1BD + β2GDP + β3FDI + β4M2 + β5IR + ut (13)
The wherever intercepted term is β0, and regression constants are β1, β2, β3, β4, and β5.
Similarly, the stochastic disorder term represents Ut, and tth time represents by t (Gujarati, 2003).
And all variables of the model are in quarterly % and define as,
CAD = Current Account Deficit of Economy
BD = Budget Deficit of Economy
GDP = Nominal Gross Domestic Product
FDI = Foreign Direct Investment
M2 = Money Supply
IR = Real Interest Rate
Equation (13) applies to quarterly economic data of both emerging countries, Turkey and Iran, to check the association of BD & CAD that confirm the existence of TD in these economies.
4. Empirical Results
4.1. Unit Root Test
In the time-series data, before finding the relationship between the variables, it is necessary to check the variables’ stability during the observed period because outcomes on regression may be inaccurate due to non-stationary variables (Granger & Newbold, 1974). Therefore, the study applied the Augmented Dickey-Fuller or ADF (1979) test to check the data’s stationery before analyzing the study’s model. This test expressed as,
∆Yt = α + βt + γYt–1 + δ1∆Yt–1 + . . . + δp–1∆Yt–p+1 + εt
4.1.1. Unit Root Test Results of Turkey
ADF test results for Turkey are shown in Table 1, which indicates that only the variable GDP is stationary at the level of 5% in Turkey. In contrast, during the period 1992–2019, the variables BD, CAD, M2, FDI, and IR are stationary at first difference.
Table 1: Unit Root Test of Turkey and Iran
Table 1 shows the outcomes of the ADF technique, which is used to test the integration of variables. The ADF test results show that in Iran, only the variable CAD is stationary at a level from 1992 to 2019 while variables BD, GDP, M2, FDI, and IR are stationary at the first difference of 5%.
4.2. Bound Test of Cointegration
Bound test of cointegration is applied to check the existence of long-run relations between n series integrated of several orders, i.e., I(0) and I(1). This test restates the hypothesis of long-run constant equilibrium cointegration between variables (Omoniyi & Olawale, 2015). Through this test, cointegration does exist when the value of F-statistics goes above the upper bound, while if value below the lower bound, then cointegration does not find. Similarly, cointegration is indeterminate when the value of F-statistics lies between the upper and lower bounds.
Table 2 shows the bound test outcomes, which show the cointegration among the series of both Turkey and Iran. The results show that cointegration exists in both countries since F-statistic values are higher than those of Turkey and Iran’s upper bounds. Because a cointegration among the time series was detected, an ARDL approach can identify short and long-term associations of variables.
Table 2: Bound Test Results of Turkey and Iran
4.3. Autoregressive Distributed-Lagged Model (ARDL)
Pesaran and Shin (1999) and Pesaran, Shin, and Smith (2001) introduced the ARDL model to analyze the shortand long-run association of variables. This model is used in this condition when variables are stationary at the mix level, i.e., at the level and first difference. For the study, the null hypothesis of the ARDL test is:
H0: φ1 = φ2 = φ3 = φ4 = φ5 = 0
H1: φ1 ≠ φ2 ≠ φ3 ≠ φ4 ≠ φ5 ≠ 0
Moreover, The ARDL equation of the study is:
Table 3: Long Run ARDL Model Result for Turkey
\(\begin{aligned} \Delta \mathrm{CAD}=& C+\sum_{i=1}^{n} \gamma_{1} \Delta \mathrm{CAD}_{t-i}+\sum_{i=0}^{n} \gamma_{2} \Delta \mathrm{BD}_{t-1} \\ &+\sum_{t-0}^{n} \gamma_{3} \Delta \mathrm{GDP}_{t-1}+\sum_{i=0}^{n} \gamma_{4} \Delta \mathrm{FDI}_{t-1} \\ &+\sum_{t=0}^{n} \gamma_{s} \Delta M_{t-1}^{2}+\sum_{i=0}^{n} \gamma_{6} \Delta \mathrm{IR}_{t-1}+\varphi_{1} \mathrm{BD}_{t-1} \\ &+\varphi_{2} \mathrm{GDP}_{t-1}+\varphi_{3} \mathrm{FDI}_{t-1}+\varphi_{4} M_{t-1}^{2}+\varphi_{5} I R_{r-1}+\varepsilon_{t} \end{aligned}\)
Where,
γ1, γ2, γ3, γ4, γ5 and γ6 are the short run and φ1 , φ2 , φ3 , φ4 , and φ5 , are the long-run dynamic estimates of the ARDL model.
4.3.1. Long-Run ARDL Model Results for Turkey
The long-term results of the ARDL model for Turkey indicate the insignificant association of CAD and BD, which rejects the presence of TD in Turkey from 1992 to 2019. This result supports the Ricardian equivalence theory and confirms that TD was not found in Turkey during this period. Similar outcomes were found in the studies by Kustepeli (2001), Uz (2010), and Sahin (2015).
Other results of this test explore that during the absence of TD, IR and CAD have found significant positive associations. In contrast, FDI, GDP, and M2 have found a significant negative relation at a 5% level with CAD from 1992 to 2019.
Similarly, results also show the relationship between CAD and other macroeconomic variables. It indicates that a one percent increase in GDP, FDI, and M2 of Turkey led to a 21.68, 3.65, and 11.46 percent, respectively, decrease in CAD, while a 1% increase in IR causes a 2.10% increase of CAD of Turkey.
4.3.2. Short-Run ARDL Model Results for Turkey
In the results of the short-run ARDL, the Error correction model ECM value is most significant, and this value determines the speed of change to evaluate the variables in the future period. Ideal ECM value must be significant and negative as well. This value lies among 0 to –1 (Samargandi, Fidrmuc, & Ghosh, 2013).
In Table 4, the ECM value for Turkey is (–0.1502), close to –1, and significant. This value suggests that in Turkey, the speed of adjustment changes is taking very rapidly; this deviation from the long run is adjusted by 0.1502%.
Table 4: Short Run ARDL Model Result for Turkey
In Turkey, the ARDL results denied the relationship between BD and CAD and found that this association did not cause TD situation during this period 1992 to 2019. It means that in Turkey, TD does not exist from 1992 to 2015. The results of Sahin’s (2015) study also supported the absence of TD in Turkey from 1993 to 2015. During this period, the feasible budget and trade policy did not cause the TD in Turkey’s agricultural economy.
4.3.3. Long-Run ARDL Model Results for Iran
Table 5 presents the long-term ARDL results for the economic data of Iran. The significant positive relationship between BD and CAD confirms the TD situation in Iran from 1992 to 2019. This result supports the Keynesian and MundellFleming approaches, which stated that the BD caused CAD in the economy. Studies of Zamanzadeh and Mehrara (2011) and Farzinvash and Farahbakhsh (2011) also confirm the result.
Table 5: Long Run ARDL Model Result for Iran
The long-run ARDL test results also indicated the significant relation of CAD, M2 , GDP, and FDI, while IR has an insignificant relation with CAD. The result confirmed that during the TD situation in Iran from 1992 to 2019, the macroeconomic variables GDP, FDI, and M2 were affected. As a result, GDP has a positive association with TD, which is also confirmed from Furceri and Zdzienicka’s (2018) study. Similarly, the negative relationship between FDI and M2 is confirmed by Saba’s (2015) study. Outcomes of the ARDL test show that a 1% increase in Iran’s GDP causes an 8.94% increase in TD while a 1% increase in FDI and M2 led to 59.56% and 21.34%, respectively, decrease in TD of Iran from 1992 to 2019.
Table 6: Short Run ARDL Model Result for Iran
4.3.4. Short-Run ARDL Model Results for Iran
ECM’s value through Iran’s data is negative and significant, suggesting that during TD from 1992 to 2019, deviation from the long run is adjusted by 0.2475%. It is clear from the short-run results in Iran speed of change of adjustment is taking very rapidly.
The ARDL results for Iran confirmed the relationship between BD and CAD from the TD situation in Iran from 1992 to 2019. Although Iran is an oil-producing country, their economy used an unsustainable budget policy; furthermore, government revenue and expenditure are not related to each other, which caused BD in the economy (Kia, 2008). BD led to CAD, which created the TD situation.
5. Conclusion
This study’s focus is not only to detect the presence of TD, but also to examine the influence of this deficit in Turkey and Iran’s two emerging economies. The previous studies by Lau and Baharumshah (2006), Iram et al. (2011), Osoro et al. (2014), and Mohanty (2018) favored the economic theories of Keynesian and Mundell Fleming, who supported the existence of TD in the economy. Consequently, from outcomes through this comparative study, ARDL test results found the existence of TD situation in Iran, whereas, in the case of Turkey, the relationship of TD with BD and CAD was not found from 1992 to 2019. Kustepeli (2001), Uz (2010), and Sahin (2015) opposed the existence of TD in the economic data of Turkey. While in Iran, studies by Bagheri and Hazrati (2012), Saba (2015), and Ghaderi et al. (2016) confirmed the TD. The presence of TD in Iran affirms the Keynesian and Mundell-Fleming theories that support the presence of TD is because of BD that caused CAD in the economy.
Furthermore, the studies by Salvatore (2006), Blanchard and Giavazzi (2002), Hakro (2009), and Rehman et al. (2020) discussed and proved that during TD, other macroeconomic variables were affected. Therefore, the study results confirmed that during TD in Iran from 1992 to 2019, GDP has a positive association, while a negative relationship between FDI and M2 is confirmed with TD. However, despite the absence of TD in Turkey, macroeconomic variables FDI, GDP, and M2 have found negative associations, while GDP has a positive relation with CAD.
In conclusion, it is interesting to compare the results of these two economies. Despite being an oil-producing country and contingent comprehensively on energy revenue, Iran has faced the TD situation unexpectedly. In contrast, despite agricultural nation-wide growth, Turkey’s budgetary policy remains strong (Kia, 2008). Since joining the Customs Union in December 1995, Turkey’s trade has expanded considerably (Becker, Baki, & Lee, 2016); thus, Turkey has not faced TD from 1992 to 2019.
From the outcomes of the study, it is cleared that the main reason for TD is the existence of BD and CAD at a similar period in a country, so for the solution of TD, it suggests established robust and integrated monetary and fiscal policies in the country. Further, structural tax rate systems, controlled trade policies, and money supply introduce new strategies for investors to support the economy’s budget and trade balance.
참고문헌
- Acaravci, A., & Ozturk, I. (2008). Twin deficits phenomenon: Empirical evidence from the ARDL bound test approach for Turkey. Bulletin of Statistics and Economics, 2(A08), 57-64.
- Akbostanci, E., & Tunc, G. I. (2001). Turkish Twin Effects: An Error Correction Model of Trade Balance (No. 0106). ERC-Economic Research Center, Middle East Technical University.
- Altintas, H., & Taban, S. (2011). Twin Deficit Problem and the Feldstein-Horioka Hypothesis in Turkey: ARDL Bound Testing Approach and Investigation of Causality. International Research Journal of Finance and Economics, 74, 30-45.
- Azgun, S. (2012). Twin deficit hypothesis: Evidence from the Turkish economy. https://pdfs.semanticscholar.org/f85c/5c7007f63c7dee49ebf37170f317a6061e70.pdf?_ga=2.3450295.666526175.1591337446-322579813.1566755023
- Bagheri, F., & Hazrati, F. D. (2012). Twin deficits and Feldstein-Horioka Puzzle in the case of Iran. Journal of Social and Development Sciences, 3(5), 167-171. https://doi.org/10.22610/jsds.v3i5.699.g699
- Bagnai, A. (2006). Structural breaks and the twin deficits hypothesis. International Economics and Economic Policy, 3(2), 137-155. https://doi.org/10.1007/s10368-006-0050-8
- Barro, R. J. (1989). The Ricardian approach to budget deficits. Journal of Economic Perspectives, 3(2), 37-54. https://doi.org/10.1257/jep.3.2.37
- Becker, K., Baki, I., & Lee, J. W. (2016). The Customs Union between the European Union and Turkey and its Impacts on Turkey's Economy. Journal of Asian Finance, Economics and Business, 3(2), 41-49. https://doi.org/10.13106/jafeb.2016.vol3.no2.41
- Blanchard, O., & Giavazzi, F. (2002). Current account deficits in the euro area: the end of the Feldstein-Horioka puzzle? Brookings Papers on economic activity, 2002(2), 147-186. https://www.brookings.edu/wp-content/uploads/2002/06/2002b_bpea_blanchard.pdf https://doi.org/10.1353/eca.2003.0001
- Bolat, S., Emirmahmutoglu, F., & Belke, M. (2014). The Dynamic Linkages of Budget Deficits and Current Account Deficits Nexus in EU Countries: Bootstrap Panel Granger Causality Test. International Journal of Economic Perspectives, 8(2).
- Chen, S. W., & Shen, C. H. (2015). Revisiting the Feldstein-Horioka puzzle with regime switching: New evidence from European countries. Economic Modelling, 49, 260-269. https://doi.org/10.1016/j.econmod.2015.03.020
- Coakley, J., Kulasi, F., & Smith, R. (1996). Current account solvency and the Feldstein-Horioka puzzle. The Economic Journal, 620-627. https://doi.org/10.2307/2235567
- Corsetti, G., & Muller, G. J. (2006). Twin deficits: squaring theory, evidence, and common sense. Economic Policy, 21(48), 598-638. https://doi.org/10.1111/j.1468-0327.2006.00167.x
- Daragahi, B. (2018). "Erdogan Is Failing Economics 101". Foreign Policy. https://foreignpolicy.com/2018/05/25/erdoganis-a-mad-economist-and-turkey-is-his-laboratory/
- Farzinvash, A., & Farahbakhsh, N. (2011). Testing Twin Deficits Hypothesis in Iran. Journal of Macroeconomics, 6(11), 125-148. https://www.sid.ir/en/journal/ViewPaper.aspx?id=214882
- Feldstein, M., & Horioka, C. (1980). "Domestic Saving and International Capital Flows," Economic Journal, 90, 314-29. https://doi.org/10.2307/2231790
- Fidrmuc, J. (2003). The Feldstein-Horioka puzzle and twin deficits in selected countries. Economics of Planning, 36(2), 135-152. https://doi.org/10.1023/B:ECOP.0000012256.88112.c2
- Fleming, M. J. (1962). 'Domestic Financial Policies Under Fixed and Under Floating Exchange Rates. International Monetary Fund Staff Papers, 9(3), 369-380. https://doi.org/10.2307/3866091
- Fountas, S., & Tsoukis, C. (2004). Twin deficits, real interest rates, and international capital mobility. In: Aspects of Globalisation (pp. 67-82). Boston, MA: Springer. https://doi.org/10.1007/978-1-4419-8881-2_5
- Furceri, D., & Zdzienicka, M. A. (2018). Twin deficits in developing economies. International Monetary Fund.
- Ganchev, G. T., Stavrova, E., & Tsenkov, V. (2012). Testing the twin deficit hypothesis: The case of Central and Eastern Europe countries. International Journal of Contemporary Economics and Administrative Sciences, 2(1), 1 Springer, 21. http://www.ijceas.com/index.php/ijceas/article/view/47/pdf
- Ghaderi, J., & Samadi, A., & Ghaderi, S. B. (2016). The Effect of Budget Deficit Shock on The Current Account Deficit in The Presence of Output Shocks: The Twin Divergence Phenomenon in Iran (1990:1-2011:4). Majlis & Rahbord, 23(85), 223-246. https://www.sid.ir/en/journal/ViewPaper.aspx?id=513499
- Granger, C. W., & Newbold, P. (1974). Spurious Regression in Econometrics. Journal of Econometrics, 2, 111-120. https://doi.org/10.1016/0304-4076(74)90034-7
- Gujarati, N. D. (2003). Basic Econometrics (4th ed.). New York: McGraw- Hill Company.
- Hakimian, H. (2012). How Sanctions Affect Iran's Economy. Council on Foreign Relations, 22. https://www.cfr.org/interview/how-sanctions-affect-irans-economy
- Hakro, A. N. (2009). Twin deficits causality link-evidence from Pakistan. Research Journal of Finance and Economics, 24, 54-70. https://doi.org/10.12691/jfe-2-5-2
- Halicioglu, F., & Eren, K. (2017). Testing Twin Deficits and Saving-Investment Nexus in Turkey. https://mpra.ub.uni-muenchen.de/83529/1/MPRA_paper_83529.pdf
- Hsing, Y. (2017). Impacts of the Real Effective Exchange Rate and the Government Deficit on Aggregate Output in Australia. Journal of Asian Finance, Economics and Business, 4(1), 19-23. https://doi.org/10.13106/jafeb.2017.vol4.no1.19
- Iram, M. P. S., Shadid, A., Mahpara, S., & Fazli, R. (2011). Old wine in new bottles: testing the Keynesian proposition of twin deficit in case of Pakistan. International Journal of Business and Social Science, 2(5), 209.
- Kearney, C., & Monadjemi, M. (1990). 'Fiscal Policy and Current Account Performance: International Evidence on the Twin Deficits.' Journal of Macroeconomics, 12(2), 197-219. https://doi.org/10.1016/0164-0704(90)90029-A
- Khalid, A. M., & Guan, T. W. (1999). Causality tests of budget & current account deficits: Cross-country comparisons. Empirical Economics, 24(3), 389-402. http://dx.doi.org/10.1007/s001810050062
- Kia, A. (2008). Fiscal sustainability in emerging countries: Evidence from Iran and Turkey. Journal of Policy Modeling, 30(6), 957-972. https://doi.org/10.1016/j.jpolmod.2008.01.004
- Kim, C. H., & Kim, D. (2006). Does Korea have twin deficits? Applied Economics Letters 13(10), 675-680. https://doi.org/10.1080/13504850500404910
- Kohansal, M., & Alizadeh, P. (2015). An Investigation of Twin Deficit Hypothesis in Iran: Two Regimes Threshold Vector Autoregressive Approach. Quarterly Journal of Applied Theories of Economics, 2(3), 73-92.
- Kustepeli, Y. R. (2001). An empirical investigation of the Feldstein chain for Turkey. Dokuz Eylul Universitesi Isletme Fakultesi Dergisi, 2(1), 99-108. http://debis.deu.edu.tr/userweb/yesim.kustepeli/dosyalar/fakultedergisi.pdf
- Lau, E., & Baharumshah, A. Z. (2006). Twin deficits hypothesis in SEACEN countries: A panel data analysis of relationships between public budget and current account deficits. Applied Econometrics and International Development, 6(2).
- Lau, E., Abu Mansor, S., & Puah, C. H. (2010). Revival of the Twin Deficits in the Asian Crisis Affected Countries. Economic Issues, 15(1), 29-53.
- Lee, J. W. (2015). Dynamic Relationships between Exchange Rates and Foreign Direct Investment: Empirical Evidence from Korea. Asian Economic Journal, 29(1), 73-90. https://doi.org/10.1111/asej.12048
- Lee, J. W., Baimukhamedova, G., & Akhmatova, S. (2010). Foreign direct investment, exchange rate, and their roles in economic growth of developing countries: Empirical evidence from Kazakhstan. Journal of International Business Research, 9(2), 75-90.
- Lee, J. W., & Brahmasrene, T. (2018). An exploration of dynamical relationships between macroeconomic variables and stock prices in Korea. Journal of Asian Finance, Economics and Business, 5(3), 7-17. https://doi.org/10.13106/jafeb.2018.vol5.no3.7
- Lee, J. W., & Zhao, T. F. (2014). Dynamic relationship between stock prices and exchange rates: Evidence from Chinese stock markets. Journal of Asian Finance, Economics and Business, 1(1), 5-14. https://doi.org/10.13106/jafeb.2014.vol1.no1.5
- Mohanty, R. K. (2018). An Empirical Investigation of Twin Deficits Hypothesis: Evidence from India. Journal of Quantitative Economics, 1-23. https://doi.org/10.1007/s40953-018-0136-5
- Mundell, R. A. (1963). 'Capital Mobility and Stabilization Policy under Fixed and Flexible Exchange Rates. The Canadian Journal of Economics and Political Science, 29(4), 475-485. https://doi.org/10.2307/139336
- Nguyen, V. T. H., Hoang, T. T. T., & Nguyen, S. M. (2020). The Effect of Trade Integration on Business Cycle Synchronization in East Asia. Journal of Asian Finance, Economics and Business, 7(8), 225-231. https://doi.org/10.13106/jafeb.2020.vol7.no8.225
- Omoniyi, L. G., & Olawale, A. N. (2015). An Application of ARDL Bounds Testing Procedure to the Estimation of Level Relationship between Exchange Rate, Crude Oil Price, and Inflation Rate in Nigeria, International Journal of Statistics and Applications. https://doi.org/10.5923/j.statistics.20150502.06
- Oruc, E. (2017). TEST Twin Deficit for Turkey: Stock-Watson Method Long-term Analysis (1950-2015). Gumushane University Electronic Journal of the Institute of Social Science, 8(19).
- Osoro, K. O., Gor, S. O., & Mbithi, M. L. (2014). The twin deficit and the macroeconomic variables in Kenya. International Journal for Innovation Education and Research, 2(9), 64-84. https://doi.org/10.31686/ijier.vol2.iss9.239
- Pesaran, M. H., & Shin, Y. (1999). An Autoregressive Distributed Lag Modelling Approach to Cointegration Analysis. In: Econometrics and Economic Theory in the 20th Century: The Ragnar Frisch Centennial Symposium. Cambridge: Cambridge University Press.
- Pesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds testing approaches to the analysis of the level Relationships. Journal of Applied Econometrics, 16(3), 289-326. https://doi.org/10.1002/jae.616
- Rehman, N. A., Shamshir, M., & Shakir, K. (2020). Correlation of Macroeconomic Variables with Twin Deficit in Pakistan. IBT Journal of Business Studies (JBS), 16(1), 16-1. https://doi.org/10.46745/ilma.jbs.2020.16.01.01
- Roubini, N. (1988). Current Account and Budget Deficits in an Intertemporal Model of Consumption and Taxation Smoothing. A Solution to the "Feldstein-Horioka Puzzle". https://doi.org/10.3386/w2773
- Rosenzweig, J. A., & Tallman, E. W. (1993). Fiscal Policy and Trade Adjustment: Are the deficits Twins? Economic Inquiry, 31. https://doi.org/10.1111/j.1465-7295.1993.tb00892.x
- Purwono, R., Mucha, K., & Mubin, M. K. (2018). The Dynamics of Indonesia's Current Account Deficit: Analysis of the Impact of Exchange Rate Volatility. Journal of Asian Finance, Economics and Business, 5(2), 25-33. https://doi.org/10.13106/jafeb.2018.vol5.no2.25
- Saba, S. (2015). The Effect of Inflation Uncertainty on Budget Deficit: Evidence from Iran. Developing Country Studies, 5(11). https://www.iiste.org/Journals/index.php/DCS/article/view/23092/23611
- Sahin, D. (2015). Validity of the Twin Open Hypothesis; Turkey instance (1995-2013). Administration and Economy: Celal Bayar University Iktisadi ve Idari Bilimler Fakultesi Dergisi, 22(1). https://doi.org/10.18657/ yecbu.91021
- Saleh, A. S., Nair, M., & Agalewatte, T. (2005). The twin deficits problem in Sri Lanka: an econometric analysis. South Asia Economic Journal, 6(2), 221-239. https://doi.org/10.1177/139156140500600204
- Salvatore, D. (2006). Twin deficits in the G-7 countries and global structural imbalances. Journal of Policy Modeling, 28(6), 701-712. https://doi.org/10.1016/j.jpolmod.2006.06.003
- Samargandi, N., Fidrmuc, J., & Ghosh, S. (2015). Is the relationship between financial development and economic growth monotonic? Evidence from a sample of middle-income countries. World Development, 68, 66-81. https://doi.org/10.1016/j.worlddev.2014.11.010
- Sen, H., & Kaya, A. (2016). Are the twin or triple deficits hypotheses applicable to post-communist countries? https://doi.org/10.13140/RG.2.1.4636.9045
- Sujianto, A. E., Pantas, P. E., Mashudi, M., Pambudi, D. S., & Narmaditya, B. S. (2020). Do Real Interest Rate, Gross Domestic Savings, and Net Exports Matter in Economic Growth? Evidence from Indonesia. Journal of Asian Finance, Economics and Business, 7(11), 127-135. https://doi.org/10.13106/jafeb.2020.vol7.no11.127
- Summers, L. H. (1988). Tax Policy and International Competitiveness, International Aspects of fiscal Policies. National Bureau of Economic Research Conference Report Series. Chicago: University of Chicago Press.
- Ucal, H., & Bolukbas, M. (2013). The Role of Twin Deficits Problem in Sustainable Growth: An Econometric Analysis for Turkey. Journal of Economic and Social Studies, 3(2), 39-52. https://doi.org/10.14706/JECOSS11323
- Uz, I. (2010). Determinants of current account: the relation between internal and external balances in Turkey. Applied Econometrics and International Development, 10(2), 115-126. http://www.usc.es/economet/reviews/aeid10210.pdf
- Uzumcu, A., & Kanca, O. C. (2013). Twin Deficit Hypothesis: An Application Turkey (1980-2012). Inonu University International Journal of Social Sciences, 17.
- Xie, Z., & Chen, S. W. (2014). Untangling the causal relationship between government budget and current account deficits in OECD countries: Evidence from bootstrap panel Granger causality. International Review of Economics & Finance, 31, 95-104. https://doi.org/10.1016/j.iref.2014.01.014
- Zamanzadeh, A., & Mehrara, M. (2011). Testing twin deficits hypothesis in Iran. Interdisciplinary Journal of Research in Business, 1(9), 7-11.
- Zengin, A. (2000). The Twin Deficits Hypothesis (The Turkish Case). Zonguldak Karaelmas University, Zonguldak, Turkey. http://www.opf.slu.cz/vvr/akce/turecko/pdf/Zengin.pdf