Social security expenditure and GDP in OECD countries: A cointegrated panel analysis

Abstract

Using panel data unit root tests and panel cointegration tests, as well as estimation techniques appropriate for heterogeneous panels such as the full modified OLS, this paper re-examines the long-run co-movement and the causal relationship between GDP and social security expenditure in a bivariate model, employing data on 25 OECD countries from 1980 to 2001. Our cointegration test results show strong evidence in favour of the existence of a long-run equilibrium cointegrating relationship between GDP and social security expenditure after allowing for a heterogeneous country effect. Regarding the panel-based error correction model, we find that GDP and social security expenditure lack short-run causality, but reveal the existence of long-run bidirectional causality. This shows that, in the long run, economic growth must be based on a social welfare policy that should be carried out, and economic growth can facilitate contiguous development in a social welfare policy. Lastly, we also provide evidence to support that social security expenditure can affect growth through the savings and human capital accumulation in OECD countries.     

Import demand in heterogeneous panel setting

To study the elasticities of import demand function, a heterogeneous panel is built with data of 40 countries and using panel unit root tests (Im et al., 1997) and panel cointegration tests (Pedroni, 2004). The model is tested with two previously used activity variables: GDP and GDP minus Export for a performance comparison. To estimate elasticities, use is made of two modified panel versions of FMOLS and DOLS developed by Pedroni (1996, 2000, 2001). The tests prove that GDP outperforms GDP minus Exports as an activity variable in the cointegration context. FMOLS and DOLS give close results when individual estimates are done. When between‐dimension estimators are used, conflicting results are obtained. Then, the sample is split into developed and developing countries and it is shown that income elasticity in developing countries are not different than unity on average and are higher than in developed countries contradicting previous literature results.     

Democracy and economic growth in Sub-Saharan Africa: a panel data approach

This paper studies the link between democracy and economic development for 28 countries of Sub-Saharan Africa for the period 1980–2005 in a panel data framework. A democracy index constructed from the Freedom House indices. A variety of panel data unit root and cointegration tests are applied. The variables are found to be integrated of order one and cointegrated. The Blundell–Bond system generalized methods-of-moments is employed to conduct a panel error-correction mechanism based causality test within a vector autoregressive structure. Economic growth is found to cause democracy in the short-run, while bidirectionality is uncovered in the long-run. In addition, the long-run coefficients are estimated through the panel fully modified ordinary least squares and dynamic ordinary least squares methods. Democracy has a positive impact on GDP and vice versa. These results lend support to the virtuous cycle hypothesis.     

CO2 emissions,economic growth,energy consumption,trade and urbanization in new EU member and candidate countries: A panel data analysis

This paper investigates the causal relationship between energy consumption, carbon dioxide emissions, economic growth, trade openness and urbanization for a panel of new EU member and candidate countries over the period 1992–2010. Panel unit root tests, panel cointegration methods and panel causality tests are used to investigate this relationship. The main results provide evidence supporting the Environmental Kuznets Curve hypothesis. Hence, there is an inverted U-shaped relationship between environment and income for the sampled countries. The results also indicate that there is a short-run unidirectional panel causality running from energy consumption, trade openness and urbanization to carbon emissions, from GDP to energy consumption, from GDP, energy consumption and urbanization to trade openness, from urbanization to GDP, and from urbanization to trade openness. As for the long-run causal relationship, the results indicate that estimated coefficients of lagged error correction term in the carbon dioxide emissions, energy consumption, GDP, and trade openness equations are statistically significant, implying that these four variables could play an important role in adjustment process as the system departs from the long-run equilibrium.     

Is health care really a luxury in OECD countries? Evidence from alternative price deflators

This article examines whether real Health-care Expenditure (HE) is a luxury or necessity for Organization for Economic Co-operation and Development (OECD) countries over the period 1972 to 2004 within a panel unit root and panel cointegration framework. To realize this objective, we regress HE on real Gross Domestic Product (GDP), the proportion of the population aged over 65 (P65) and a time trend (T). We first present results for 18 countries where real HE per capita is obtained using a general GDP deflator. For these countries, we find that health care is a luxury for just one country. Next, we present results for eight countries where real HE is obtained using a specific health-care price index. When the general GDP deflator is replaced with a specific health-care price index, at least one of the GDP, P65 or T coefficients for the eight countries changes in a reasonably dramatic fashion, suggesting that the use of the GDP deflator introduces bias into the regression. We find that HE is a necessity in all eight countries. Given that the reliability of the GDP deflator results is questionable, on the basis of the results for the eight countries, we conclude that HE is a necessity.     

Do hours worked contain a unit root? Evidence from panel data

The aim of the present paper is to provide cross country evidence of the non-stationarity of hours worked for OECD countries. For this purpose, panel unit root tests are employed to improve power against univariate counterparts. Since cross section correlation is a distinct feature of the underlying panel data, results are based on various second generation panel unit root tests, which account for cross section dependence among units. If an unobserved common factor model is assumed for generating the observations, there is indication for both a common factor and idiosyncratic components driving the non-stationarity of hours worked. In addition, taking these results together, there is no indication of cointegration among the individual time series of hours worked.     

The causal dynamics between renewable energy,real GDP,emissions and oil prices: evidence from OECD countries

This study extends the empirical literature on the determinants of renewable energy consumption in the case of 25 OECD countries for the period 1980–2011. Preliminary analysis suggests the presence of cross-sectional dependence within the panel data. As a result, second-generation panel unit root tests of Smith et al. (2004) and Pesaran (2007) are undertaken to find the respective variables that are integrated of order one. Panel cointegration and error correction modelling reveal that a long-run relationship exists between renewable energy consumption per capita, real GDP per capita, carbon dioxide emissions per capita and real oil prices. The long-run elasticity estimates are positive and statistically significant for real GDP per capita, carbon dioxide emissions per capita and real oil prices. The panel error correction model shows that a feedback relationship exists among the variables.     

DOES DISAGGREGATION AFFECT THE RELATIONSHIP BETWEEN HEALTH CARE EXPENDITURE AND GDP? AN ANALYSIS USING REGIME SHIFTS*

This paper investigates the impact of policy shifts on disaggregated health expenditure‐GDP relationship in Australia. In contrast to previous studies the disaggregation is at the level of type of service delivered and not at the level of source of expenditure. Our results show that the subcomponents of health expenditure exhibit different patterns of behaviour at both cointegration and unit root stages once policy shifts or structural breaks are allowed in the empirical analysis. When the possibility of structural break is allowed we find a significant long‐run relationship between subcomponents of aggregate health expenditure and GDP that is not observed when break is not allowed. The underlying reasons for the occurrence of breaks and policy lessons are discussed subsequently.     

Is real GDP stationary? Evidence from a panel unit root test with cross-sectional dependence and historical data

We use historical data that cover more than one century on real GDP for industrial countries and employ the Pesaran panel unit root test that allows for cross-sectional dependence to test for a unit root on real GDP. At first, we find strong evidence against the unit root null. Our results seem to be robust to the chosen group of countries and, in most cases, the sample period. However, the sequential panel selection method reveals that the rejection of the unit root null is due to the stationarity of real GDP in a few countries only. Real GDP is less stationary mostly in fixed exchange rate regimes like the Gold Standard and the Bretton Woods system.     

Trade and regional growth in Spain: panel cointegration in a small sample

In this article, we test for the existence of a relationship between per capita Gross Domestic Product (GDP) and trade, for 15 Spanish Autonomous Communities between 1988 and 2004, using a panel cointegration methodology. In particular, we implement several panel unit root tests (Maddala and Wu, 1999; Levin et al., 2002; Im et al., 2003) and panel cointegration tests (Pedroni, 1999, 2004), with a special attention to their behaviour in a small sample. We also develop a Seemingly Unrelated Regression Estimation (SURE) residual based test, in order to explicitly take into account the cross regional correlation pattern. Appropriate confidence intervals are estimated with a sieve bootstrap designed for our small time sample, preserving the dependence structure among cross sectional units. Our cointegration tests reject the existence of a significant relationship between GDP per capita and exports. However, we do find some evidence of a significant relationship between GDP per capita and imports or with total trade.     

Revisiting the Link Between Stock Prices and Goods Prices in OECD Countries

Fisher hypothesis postulates positive relation between stock return and inflation; however early studies document negative relationship between the two and they conclude that stock cannot be used as a hedge against inflation. In this paper we explore long‐run nonlinear relationship between stock price and goods price. Our sample consists of 19 OECD countries; all or some of these countries have been studied before with the findings of linear cointegration between the stock index and goods price index. Based on unit root tests and linear cointegration test, we apply threshold cointegration tests, Autoregressive Distributed Lag (ARDL) cointegration test and panel VAR method. With all these econometric methods we arrive at heterogeneous findings as follows: two countries have linear cointegration, five countries have threshold cointegration, nine countries do not have any cointegration and finally two countries provide inconclusive results. Estimates of Fisher coefficient provided by linear and nonlinear cointegration methods, which range between 1.27 and 1.86, are consistent with previous studies. Impulse response analysis from panel VAR for countries having no cointegrating relation shows that shock to inflation produces negative response in stock return, which supports findings of earlier studies.     

A panel cointegration approach to the investment-saving correlation

This paper augments the empirical literature concerning the Feldstein-Horioka puzzle using non-stationary panel data. Recently developed tests for panel cointegration and panel unit root tests are employed. We find substantial evidence to support the hypothesis of no cointegration in this panel, implying a high degree of international capital mobility. Our results suggest that tests for cointegration in panel data provides a better methodological focus than the magnitude of saving-retention coefficients. First version received: August 1999/Final version accepted: December 2000     

Unit root and cointegration tests: timeseries versus panel estimates for international health expenditure models

Classical regression estimates of the determinants of the OECD health expenditures are useful for policy formulation and evaluation. However, if the underlying timeseries data are not collectively stationary in levels, the estimated parameters are faulty and can misguide health policy. Until very recently, the crucial stationarity tests were ignored in a large number of studies on international comparisons. Stationarity (ADF, Phillips-Perron, IPS heterogeneous panel) and cointegration (Engle-Granger bivariate, Johansen's multivariate) tests are conducted here using 1960–1997 health expenditures data (1998 CD ROM) of 19 OECD countries. It is found that extending the time series data length affects the order of integration and number of cointegrating vectors. However, it is arguable whether the order of integration decreases or increases as more observations are added for testing. The failure of the Johansen and Engle-Granger cointegration tests for most of the OECD countries cautions policy makers against reliance on earlier research findings that were based on unstable relationships among variables in the regression models. (This is not the case for the UK, Greece and Ireland; policy implications have been derived for the UK.) Consequently, data calibrated in growth rates may be more appropriate for investigating the long run relationships collectively in a panel of OECD health expenditure model specifications.     

Measuring comparative advantages in the Euro Area

A core principle in international economics is that the specialization of an economy on the basis of its comparative advantages leads to gains from trade. However, there is no empirical work directly linking comparative advantages and export specialization. This paper investigates whether the comparative advantages of countries have driven their export specialization. Panel unit root tests, panel cointegration tests, and panel causality tests are used to examine this relationship. We also use panel estimation methods that mitigate heterogeneity, cross-sectional dependence and endogeneity. The empirical analysis is based on annual Euro Area data for the period 1995–2016. Empirical results indicate that comparative advantages positively affect export specialization. Heterogeneous panel causality analysis results support that there is unidirectional panel causality running from comparative advantages to export specialization in most countries; and a reverse causal relation in Greece, Italy, and Portugal. Finally, we detect bidirectional causality in Ireland, Lithuania, Malta, and Slovakia.     

Aggregate health care expenditure in the United States: evidence from cointegration tests

Unlike recent studies that are based on international cross-sectional series, this paper attempts to quantify the role of the determinants of aggregate health care expenditure per capita, using time-series data for the period of 1960–87 for the United States. The paper applies the relatively new procedures of unit root testing, cointegration and error-correction modelling. The evidence supports cointegration. Although, the results indicate that per capita income, age of the population, number of practising physicians, and public financing of health care are important determinants, the age structure of the population and number of practising physicians emerge as the major determinants of aggregate health care expenditure in the United States.     

Is social protection a necessity or a luxury good? New multivariate cointegration panel data results

The aim of this paper is to test the claim that social protection is a luxury good. Therefore, GDP elasticity of selected social protection expenditure is estimated using a new econometric approach developed first by Kao and Chiang (Advances in Econometrics, 15, 179–222, 2000). Time series properties of selected social expenditure in 18 OECD countries from 1981 to 1998 are examined. Using panel data cointegration tests and OLS, FMOLS and DOLS estimators, results were found which differ from previous analyses reporting substantially higher income elasticities. With the FMOLS, selected social expenditure has income elasticities smaller than one but greater than one with the DOLS. It is noteworthy that whether selected social expenditure is stationary or nonstationary may have critical implications for researchers and policy makers desiring to model and explain the impact of this expenditure on a country economic system.     

Interdependence between US and European military spending: a panel cointegration analysis (1988-2013)

The aim of this article is to study the interdependence of military spending between US and a panel of European countries in the period 1988–2013. The empirical estimation is based on a: (1) unit root tests and a cointegration analysis and (2) fully modified ordinary least squares and dynamic ordinary least squares estimations. General results highlight that military spending of European countries is: (1) positively associated with US military spending and (2) negatively associated with average military spending of other European countries.     

Energy consumption and economic growth in Asian economies: A more comprehensive analysis using panel data

This paper applies the most recently developed panel unit root, heterogeneous panel cointegration and panel-based error correction models to re-investigate co-movement and the causal relationship between energy consumption and real GDP within a multivariate framework that includes capital stock and labor input for 16 Asian countries during the 1971–2002 period. It employs the production side model (aggregate production function). The empirical results fully support a positive long-run cointegrated relationship between real GDP and energy consumption when the heterogeneous country effect is taken into account. It is found that although economic growth and energy consumption lack short-run causality, there is long-run unidirectional causality running from energy consumption to economic growth. This means that reducing energy consumption does not adversely affect GDP in the short-run but would in the long-run; thus, these countries should adopt a more vigorous energy policy. Furthermore, we broaden the investigation by dividing the sample countries into two cross-regional groups, namely the APEC and ASEAN groups, and even more important results and implications emerge.     

Panel LM unit root tests with level and trend shifts

This paper considers a Lagrange multiplier (LM) based panel unit root test that allows for heterogeneous structural breaks in both the intercepts and slopes of a series. We note that many popular time series variables are likely to exhibit changing means and/or trends over time. Given that the usual tests will depend on the nuisance parameters indicating the locations of the trend breaks, we adopt a transformation procedure that makes our new panel unit root tests invariant to the nuisance parameters. To illustrate the importance of the power gain provided by our test, we examine the convergence hypothesis using relative ratios of per capita health care expenditures in 20 OECD countries. Our results provide evidence that the convergence hypothesis is supported.     

Do Financial and Institutional Variables Enhance the Impact of Remittances on Economic Growth in Latin America and the Caribbean? A Panel Cointegration Analysis

Using recently developed panel unit root and panel cointegration tests and the Fully-Modified OLS methodology (FMOLS), this paper estimates the impact of remittances on the economic growth of selected upper and lower income Latin American & Caribbean (LAC) countries over the 1990–2007 period. Despite the large flow of remittances to the region, there have been relatively few empirical studies assessing the impact of remittances on economic growth in LAC. Panel unit root tests suggest that several of the macro variables included in the model exhibit unit roots, yet, at the same time, Pedroni’s panel cointegration test determined that there is a cointegrating relationship among the variables in the estimated model. The FMOLS estimates suggest that remittances have a positive and significant effect on economic growth in both groups of countries. The estimates also indicate that both the degree of economic freedom and credit provided by the banking system have a positive and significant effect on economic growth in upper (middle) income LAC countries. The sign of the interaction term between remittances and the credit (and EFI) variables suggest that remittances act as substitutes for these variables. Finally, the effect of remittances on both sets of countries is stronger in the presence of a financial (credit) variable.