Testing the Sustainability of Fiscal Policy during the Portuguese First Republic Using Stationary and Cointegration Tests
Abstract
:1. Introduction
2. Brief Framework: The Portuguese Public Finances during the First Republic
3. Literature Review: Empirical Strategy
- G is primary expenses;
- R is state revenues;
- r is the real interest rate;
- B is the public debt stock.
4. Results: Sustainability or Unsustainability?
5. Conclusions
Funding
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Appendix A
Figure 1 | Source: Own calculations, using data from Lains (2003) and Instituto Nacional de Estatística and Banco de Portugal (2021). Note: The primary sector includes activities related to agriculture, forestry, and fishing; The secondary sector includes activities related to manufacturing, extractive industries, utilities, and construction. |
Figure 2 and Figure 3 | Source: Own calculations, using data from Mata (1993) and Valério (1994, 2008). Note 1: It was only from 1936 onwards that the financial year of the Portuguese central government corresponds to the calendar year. Up until then, for public accounting purposes, the financial year began on 1 July of each calendar year and ended on 30 June of the following calendar year (see Ferraz 2022a). Note 2: The budget balance, revenues, and the expenditure exclude the following non-effective items: (1) loans obtained and which, at the time, were accounted for as state revenue; (2) revenues carried over from previous balances; (3) amortisations of public debt, which, at the time, were accounted for as state expenditure; (4) non-effective debt, that is payments made by public entities and received by other public entities. |
Figure 4 | Source: Own calculations, using data from Mata (1993) and Valério (1994, 2008). |
Table 1 | Source: Own calculations, using data from The Maddison Project (2020). |
Table 2 | Source: The tests were performed using Eviews (2022). |
Table 3 | Source: The tests were performed using Gretl (2021). |
Table 4 |
Test with a Constant and without a Trend | |||
Variable | Lags | Test Statistic | Conclusion |
0 | −1.39 | Non-stationary | |
0 | −2.00 | Non-stationary | |
0 | −1.43 | Non-stationary | |
0 | −1.85 | Non-stationary | |
Test with a Constant and with a Trend | |||
Variable | Lags | Test Statistic | Conclusion |
0 | −0.88 | Non-stationary | |
0 | −2.27 | Non-stationary | |
0 | −2.15 | Non-stationary | |
0 | −1.50 | Non-stationary | |
Test with a Constant and without a Trend | |||
Variable | Lags | Test Statistic | Conclusion |
∆ | 0 | −3.44 ** | I(1) |
∆ | 0 | −5.85 *** | I(1) |
∆ | 0 | −5.39 *** | I(1) |
∆ | 0 | −4.02 *** | I(1) |
Test with a Constant and without a Trend | |||
Variable | Lags | Test Statistic | Conclusion |
0 | −1.39 | Non-stationary | |
2 | −2.05 | Non-stationary | |
0 | −1.43 | Non-stationary | |
1 | −1.85 | Non-stationary | |
Test with a Constant and with a Trend | |||
Variable | Lags | Test Statistic | Conclusion |
0 | −0.88 | Non-stationary | |
2 | −2.25 | Non-stationary | |
1 | −2.11 | Non-stationary | |
2 | −1.41 | Non-stationary | |
Test with a Constant and without a Trend | |||
Variable | Lags | Test Statistic | Conclusion |
∆ | 0 | −3.44 ** | I (1) |
∆ | 1 | −5.71 *** | I (1) |
∆ | 1 | −5.40 *** | I (1) |
∆ | 1 | −4.02 *** | I (1) |
Test with a Constant and without a Trend | ||||
Variable | Lags | Break | Test Statistic | Conclusion |
1 | 1917 | −2.77 | Non-stationary | |
0 | 1919 | −3.86 | Non-stationary | |
0 | 1917 | −3.34 | Non-stationary | |
0 | 1914 | −3.12 | Non-stationary | |
Test with a Constant and with a Trend | ||||
Variable | Lags | Break | Test Statistic | Conclusion |
0 | 1924 | −3.11 | Non-stationary | |
0 | 1919 | −4.22 | Non-stationary | |
0 | 1917 | −3.52 | Non-stationary | |
0 | 1914 | −3.46 | Non-stationary | |
Test with a Constant and without a Trend | ||||
Variable | Lags | Break | Test Statistic | Conclusion |
∆ | 0 | 1924 | −4.01 | Non-stationary |
∆ | 0 | 1917 | −6.40 | I (1) |
∆ | 3 | 1920 | −8.16 | I (1) |
∆ | 2 | 1920 | −8.56 | I (1) |
Tests with a Constant and without a Trend | ||||
---|---|---|---|---|
ADF | ||||
Variable | Lags | Test statistic | Conclusion | |
3 | −2.61 | Non-stationary | ||
PP | ||||
Variable | Lags | Test statistic | Conclusion | |
3 | −1.49 | Non-stationary | ||
Unit root tests with structural breaks | ||||
Variable | Lags | Break | Test statistic | Conclusion |
3 | 1925 | 0.32 | Non-stationary |
1 | On the sustainability of fiscal policy under the Estado Novo and Democracy regimes see, respectively, Ferraz (2017) and Ferraz et al. (forthcoming). The Estado Novo (1933–1974) was a nationalist, corporatist, anti-liberal, authoritarian and anti-democratic political regime. After a short and transitory period of a military dictatorship (1926–1933), Estado Novo began with the Constitution of 11 April 1933 and ended on 25 April 1974, when it was overthrown by the Armed Forces Movement, an event that opened the doors to democracy. See, for example, Rosas (1994, 2001), Léonard (1998), Torgal (2009) and Ferraz (2017, 2022a). |
2 | |
3 | A conto was an accounting unit of currency equal to 1000 escudos, with the escudo ($) being Portugal’s currency during the period under analysis. On 1 January 1999, the euro replaced the “escudo” (1 euro = 200.482 escudos). |
4 | Valério’s (2008) data also show that from 1910 to 1926, Portuguese GDP per capita (at 1914 prices) fell by 11%. Some authors even argue that the First Republic represented for Portugal the period of greatest distance in terms of economic development compared with those countries that are currently members of the EU (Mateus 2013). |
5 | In the literature, it is possible to identify several studies that test the relationship between fiscal policy and a set of other variables (see, for example, Hasanov et al. (2018), Shaheen (2019), Malla and Pathranarakul (2022), Tendengu et al. (2022)). |
6 | The following algebraic development can be consulted with more detail, such as, for example, in Pereira et al. (2005). |
7 | |
8 | Although this is the most common and well-known procedures to examine the issue of State solvency and public finances sustainability, this does not mean that no other alternative measures and procedures exist (see, for example, Canofari et al. 2020a; Piergallini and Postigliola 2020). Furthermore, we cannot fail to mention the fact that, in general, albeit not specifically related to fiscal sustainability, some authors argue that a convergence episode can be possible in the presence of non-stationarity and in the absence of cointegration (see, for example, Phillips and Sul 2007). That is to say, we can admit the possibility where a State, at the beginning of the period starts with a very high deficits and presents a strong imbalance between revenue and expenditure, while at the end of the period it presents smaller deficits or even budget surpluses, which would have meant the existence of a budgetary consolidation process in recent years, albeit the absence of stationarity and cointegration persists. However, the methodology used in this paper, which is the one most frequently used, assesses whether the fiscal policy was sustainable when evaluating a given period as a whole. This means that significant deviations between revenue and expenditure, which led to larger deficits should result in the violation of the intertemporal budget constraint, which implies a situation of unsustainability when evaluating a given period as a whole. |
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Real GDP per Capita (Constant 2011 International $), Year 1901 | Real GDP per Capita (Constant 2011 International $), Year 1910 | |
---|---|---|
Austria | 4565 | 5244 |
Belgium | 5928 | 6478 |
Bulgaria | 1722 * | 1812 |
Denmark | 4948 | 5906 |
Finland | 2608 | 3038 |
France | 4505 | 4726 |
Germany | 4576 | 5337 |
Greece | 1890 | 2592 |
Hungary | 2681 ** | 3188 |
Italy | 3317 | 3829 |
Netherlands | 5483 | 6030 |
Norway | 3271 | 3826 |
Poland | 2700 | 2694 |
Portugal | 2075 | 1957 |
Romania | 641 | 784 |
Spain | 2885 | 2823 |
Sweden | 3406 | 4053 |
Switzerland | 6399 | 8048 |
United Kingdom | 7516 | 7718 |
Variable | ADF | PP | Unit Root Tests with Structural Breaks | Global Conclusion |
---|---|---|---|---|
I(1) | I(1) | Neither I(0) nor I(1) | I(1) or above | |
I(1) | I(1) | I(1) | I(1) | |
I(1) | I(1) | I(1) | I(1) | |
I(1) | I(1) | I(1) | I(1) |
Step 1: Estimation of Cointegration Regression by the OLS Method | |
Result of Step 1: = 0.22 (0.27) | |
Step 2: Unit Root Tests for | |
Tests | Result of Step 2 |
ADF | Non-stationary |
PP | Non-stationary |
Unit root tests with structural breaks | Non-stationary |
Lags | Rank | Trace Test | Maximum Eigenvalue Test | ||||
---|---|---|---|---|---|---|---|
p-Value | p-Value | ||||||
1 | 0 | r = 0 | r > 0 | 0.38 | r = 0 | r = 1 | 0.45 |
1 | r ≤ 1 | r > 1 | 0.45 | r = 1 | r = 2 | 0.45 |
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Ferraz, R. Testing the Sustainability of Fiscal Policy during the Portuguese First Republic Using Stationary and Cointegration Tests. Economies 2023, 11, 267. https://doi.org/10.3390/economies11110267
Ferraz R. Testing the Sustainability of Fiscal Policy during the Portuguese First Republic Using Stationary and Cointegration Tests. Economies. 2023; 11(11):267. https://doi.org/10.3390/economies11110267
Chicago/Turabian StyleFerraz, Ricardo. 2023. "Testing the Sustainability of Fiscal Policy during the Portuguese First Republic Using Stationary and Cointegration Tests" Economies 11, no. 11: 267. https://doi.org/10.3390/economies11110267