Are EU budget deficits stationary?

In this paper, we test for the stationarity of European Union budget deficits over the period 1971–2006, using a panel of thirteen member countries. Our testing strategy addresses two key concerns with regard to unit root panel data testing, namely (1) the presence of cross-sectional dependence among the countries in the panel and (2) the identification of potential structural breaks that might have occurred at different points in time. To address these concerns, we employ an AR-based bootstrap approach that allows us to test the null hypothesis of joint stationarity with endogenously determined structural breaks. In contrast to the existing literature, we find that the EU countries considered are characterised by fiscal stationarity over the full sample period irrespective of us allowing for structural breaks. This conclusion also holds when analysing sub-periods based on before and after the Maastricht treaty.     

TESTING FOR STATIONARITY IN HETEROGENEOUS PANEL DATA IN THE CASE OF MODEL MISSPECIFICATION

This paper investigates the performance of the tests proposed by Hadri and by Hadri and Larsson for testing for stationarity in heterogeneous panel data under model misspecification. The panel tests are based on the well known KPSS test (cf. Kwiatkowski et al.) which considers two models: stationarity around a deterministic level and stationarity around a deterministic trend. There is no study, as far as we know, on the statistical properties of the test when the wrong model is used. We also consider the case of the simultaneous presence of the two types of models in a panel. We employ two asymptotics: joint asymptotic, T, N →∞ simultaneously, and T fixed and N allowed to grow indefinitely. We use Monte Carlo experiments to investigate the effects of misspecification in sample sizes usually used in practice. The results indicate that the assumption that T is fixed rather than asymptotic leads to tests that have less size distortions, particularly for relatively small T with large N panels (micro‐panels) than the tests derived under the joint asymptotics. We also find that choosing a deterministic trend when a deterministic level is true does not significantly affect the properties of the test. But, choosing a deterministic level when a deterministic trend is true leads to extreme over‐rejections. Therefore, when unsure about which model has generated the data, it is suggested to use the model with a trend. We also propose a new statistic for testing for stationarity in mixed panel data where the mixture is known. The performance of this new test is very good for both cases of T asymptotic and T fixed. The statistic for T asymptotic is slightly undersized when T is very small (≤10).     

Is Asian per capita GDP panel stationary?

The goal of this paper is to examine whether per capita GDP for 15 Asian countries is panel stationary. We apply a panel test for stationarity that allows for multiple structural breaks developed by Carrion-i-Silvestre et al. (Econ J 8: 159–179, 2005). Our main findings are: (1) when we apply conventional tests, such as the ADF and KPSS univariate tests without structural breaks, we find little evidence for stationarity; (2) when we apply the KPSS univariate test with multiple structural breaks, we find evidence of stationarity for 10 out of 15 countries; and (3) when we apply the KPSS panel test with multiple structural breaks, we find overwhelming evidence of panel stationarity of per capita real GDP for different panels of Asian countries.      

Purchasing Power Parity and the European single currency: Some new evidence

The effect of the single currency on the Purchasing Power Parity (PPP) hypothesis is examined in this study for the 15 EU countries, vis a vis the US dollar, before and after the advent of the euro. Standard as well as nonlinear unit root tests are employed on the time series dimension. Unit root tests reject PPP and the highest half-lives are observed after the introduction of the single currency. Panel unit root (Pesaran, 2007) and stationarity tests (Hadri and Kurozumi, 2008) that take into account cross-sectional dependence are also estimated. The results remain inconclusive as panel stationarity tests fail to support PPP whereas panel unit root tests fail to reject PPP for the whole sample and for the period before the introduction of the single currency.     

The demand for skills and labour costs in partner countries

We analyse the consequences of trade integration in Europe (1995–2005) detecting how the labour costs in partner countries affect the domestic demand for high‐ and low‐skilled labour in ‘Old’ (EU‐15) and five ‘New’ EU member states. In general, independently of the skill level of workers, the results suggest complementarity between domestic and foreign labour. However, when we take into account the typology of sectors, the demand for the high skilled in low skill intensive sectors in ‘New’ EU members is boosted by the increase of the average labour cost in ‘Old’ EU members. Thus in low skill intensive sectors, the high skilled in ‘New’ member countries can substitute for employment in EU‐15 countries.     

A panel stationarity test with gradual structural shifts: Re-investigate the international commodity price shocks

This paper proposes a simple panel stationarity test which takes into account structural shifts and cross-section dependency. Structural shifts are modelled as gradual/smooth process with a Fourier approximation. The so-called Fourier panel stationarity test has a standard normal distribution. The Monte Carlo simulations indicate that (i) if the error terms are i.i.d, the test shows good size and power properties even in small samples; and (ii) if the error terms are serially correlated, the test has reasonable size and high power. We re-examine the behavior of the international commodity prices and find out an evidence on the persistence of shocks.     

Convergence in Per Capita Carbon Dioxide Emissions Among G7 Countries: A TAR Panel Unit Root Approach

The subject of this paper is the examination the convergence of per capita carbon dioxide emissions of the G7 countries during the 1960–2005 period in a nonlinear panel analysis framework. In this approach, first the linearity of the series was tested, and when the linearity was rejected, the threshold autoregressive (TAR) panel unit root test, which splits the data into two regimes, was employed to examine the stationarity properties of the series. Because the null of linearity was rejected in the first step, we tested the stationarity of the series using the TAR panel unit root test. In the TAR panel unit root test, we found that the United Kingdom was the transition country whose per capita carbon dioxide (CO₂) emissions determined the switch from one regime to the other. The results showed that convergence existed in the first regime and divergence, in the second. When we tested whether absolute or conditional convergence existed, we found that the per capita CO₂ emissions were conditionally converging in the first regime.     

Sustainability of current accounts: evidence from the quantile unit-root test

Regarding the stationarity of current accounts, previous studies used panel unit-root tests to improve the power of augmented Dickey–Fuller (ADF) test. This paper applies a quantile autoregression (QAR) approach to improve ADF test in the presence of outliers, and found that first, the stationarity was present in a QAR framework, rather than ADF test. Second, current accounts exhibited symmetric (e.g. Taiwan) and asymmetric patterns, which showed that positive shocks in larger quantiles induce current accounts to adjust towards a long-term equilibrium for Korea, Thailand, the Philippines and Singapore. Japan exhibited an asymmetric pattern in response to negative shocks in smaller quantiles.     

Response of inflation to shocks: New evidence from Sub-Saharan African countries

In this paper, we investigate whether or not the inflation rate of 17 Sub-Saharan African countries can be modelled as a stationary process. We achieve this goal through using univariate and panel stationarity tests for data over the period 1966 to 2002. We use the Kwiatkowski, Phillips, Schmidt and Shin (KPSS, 1992) univariate test and allow for multiple structural breaks. We find that except for Burkina Faso, Burundi and Gambia, the inflation rate is stationary for the rest of the 14 countries. We then apply the panel version of the KPSS test, developed by Carrion-i-Silvestre et al. (2005), which accounts for multiple structural breaks. We find strong evidence of panel stationarity of the inflation rate. However, for a panel consisting of Burkina Faso, Burundi and Gambia, we could not find evidence that the inflation rate is stationary.     

CEEC growth projections: Certainly necessary and necessarily uncertain*

In this paper we discuss the necessity for an indirect approach to assess the growth and convergence prospects of ten Central and Eastern European countries (CEEC10). Ongoing structural changes in these countries and the recent European Union membership of eight countries in the sample have to be taken into account in growth projections. Our indirect approach consists of basing growth projections for the CEEC10 on growth equations estimated for the incumbent EU member states. The study improves upon current practice in two ways. First, growth equations are estimated for the EU14 and not on a large heterogeneous panel that includes many countries unrelated to the CEEC10. Second, by means of a variety of equations and scenarios we assess the uncertainty inherent in such projections. We present growth‐rate and convergence time distributions. The mean convergence times are in line with previous findings. The growth‐rate and convergence time distributions are bi‐modal, reflecting the possibility of two distinct growth paths, depending upon economic policy choices.     

Improving the Performance of a Long‐Run Variance Ratio Test for a Unit Root

Cai and Shintani (2006, Econometric Theory, 22, 347–372) considered the impact of introducing an inconsistent long‐run variance estimator when constructing a class of kernel‐based ratio tests for testing non‐stationarity in the series. They found that the quotient of two estimators with different rates of convergence under the null and the alternative hypotheses may lead to a test having an interesting size and power trade‐off. This paper develops modified versions of this test, presents new asymptotic results and tabulates critical values. The finite sample performance is explored through Monte Carlo simulations. The results show that the modifications proposed lead to more powerful unit root tests.     

Purchasing Power Parity-evidence from a new panel test

This paper uses a recently suggested test for unit roots in panels of time series data (Maddala and Wu, Oxford Bulletin of Economics and Statistics, 61, 631-52, 1999) to consider the Purchasing Power Parity hypothesis. The major innovation of this test is that it allows both the testing of unit root null, using the ADF test, and the stationarity null, using the KPSS test. It is found that the results are inconsistent, suggesting that either alternative hypotheses to a unit root may need to be considered or that panel based testing in this particular context may be of limited value.     

Persistence of Current‐account Disequilibria and Real Exchange‐rate Misalignments

This paper aims at studying whether the persistence of the gap between the observed current‐account position and its equilibrium value nonlinearly depends on real exchange‐rate misalignments. Estimating a panel smooth transition regression model on a sample of 22 industrialized countries, we find evidence for this hypothesis, showing that persistence of current‐account imbalances strongly depends on the deviation of the real exchange rate from its long‐term equilibrium. More specifically, while there is no persistence in cases of currency undervaluation or weak overvaluation, persistence tends to augment for overvaluations higher than 11%. In addition, whereas disequilibria are persistent even for very low overvaluations in the euro area, persistence is observed only for overvaluations higher than 14% for non‐eurozone members.     

HYSTERESIS HYPOTHESIS IN UNEMPLOYMENT AND LABOUR FORCE PARTICIPATION RATES: EVIDENCE FROM AUSTRALIAN STATES AND TERRITORIES *

This article simultaneously investigates the hysteresis hypothesis of unemployment and labour force participation using regional level data in Australia. The conventional univariate and panel unit root tests indicate that the hysteresis hypothesis cannot be rejected for most of the regions in Australia. To further confirm if the hysteresis finding in unemployment and labour force participation results from not considering structural breaks. We employ a panel stationarity test recently developed by Carrion‐i‐Silvestre et al. (2005 ), which considers multiple structural breaks and cross‐sectional dependence. The test results lend support for unemployment hysteresis and participation regime‐wise stationarity. Accordingly, the findings imply that a temporary shock may have permanent effects on the unemployment rate but not on labour force participation in Australia and thus call for policies aimed at improving the adjustment mechanism in unemployment.     

The impact of population on CO<Subscript>2</Subscript> emissions: evidence from European countries

This paper analyses the impact of population growth on CO₂ emissions in European Union countries. Traditionally, researchers have assumed a unitary elasticity of emissions with respect to population growth. In this study population is treated as a predictor in the model, instead of being included as part of the dependent variable (per capita emissions), thus relaxing the above-mentioned assumption of unitary elasticity. We also contribute to the existing literature by taking into account the presence of heterogeneity in the sample and considering a dynamic specification. The sample covers the period 1975–1999 for the current European Union members. Our results show that the impact of population growth on emissions is more than proportional for recent accession countries whereas for old EU members, the elasticity is lower than unity and non significant when the properties of the time series and the dynamics are correctly specified. The different impact of population change on CO₂ emissions for the current EU members should therefore be taken into account in future discussions of climate change policies within the EU.      

A REVISIT TO THE STATIONARITY OF OECD INFLATION: EVIDENCE FROM PANEL UNIT‐ROOT TESTS AND THE COVARIATE POINT OPTIMAL TEST*

This paper re‐examines the stationarity of inflation rates in 19 Organisation for Economic Cooperation and Development countries with the use of cross‐sectional information. We employ the panel unit‐root tests that allow for cross‐sectional dependency and the covariate point optimal test. These tests have high power in common due to the exploitation of cross‐sectional information, and they can assist mutually to draw a concrete conclusion on inflation dynamics for all series in the panel. Our empirical results show that allowing for cross‐sectional dependency rejects the null hypothesis that all series in the panel have a unit root, implying that there is at least one stationary series in the panel. With the help of the results of the covariate test, we can distinguish the panel into a group of stationary and a group of non‐stationary series. For robustness, the two groups of series are re‐confirmed by the panel tests. Our results reveal evidence of mean reversion in inflation for 15 of 19 countries, which is significantly stronger as compared to that obtained by the state‐of‐the‐art univariate unit‐root tests.     

Unit Root Tests for Dependent Micropanels

This paper proposes a new test for the null hypothesis of panel unit roots for micropanels with short time dimensions (T) and large cross‐sections (N). There are several distinctive features of this test. First, the test is based on a panel AR(1) model allowing for cross‐sectional dependency, which is introduced by a factor structure of the initial condition. Second, the test employs the panel AR(1) model with AR(1) coefficients that are heterogeneous for finite N. Third, the test can be used both for the alternative hypothesis of stationarity and for that of explosive roots. Fourth, the test does not use the AR(1) coefficient estimator. The effectiveness of the test rests on the fact that the initial condition has permanent effects on the trajectory of a time series in the presence of a unit root. To measure the effects of the initial condition, the present paper employs cross‐sectional regressions using the first time‐series observations as a regressor and the last as a dependent variable. If there is a unit root in every individual time series, the coefficient of the regressor is equal to one. The t‐ratios for the coefficient are this paper's test statistics and have a standard normal distribution in the limit. The t‐ratios are based on the OLS estimator and the instrumental variables estimator that uses reshuffled regressors as instruments. The test proposed in this paper makes it possible to test for a unit root even at T = 2 as long as N is large. Simulation results show that test statistics have reasonable empirical size and power. The test is applied to college graduates' monthly real wage in South Korea. The number of time‐series observations for this data is only two. The null hypothesis of a unit root is rejected against the alternative of stationarity.     

Fiscal shocks and budget balance persistence in the EU countries from Central and Eastern Europe

This article analyses the time series properties of the fiscal balance in the 10 EU countries from Central and Eastern Europe. The persistence of the fiscal balance is analysed by means of unit root tests that account for possible nonlinearities and structural changes. The linear and nonlinear unit root tests find only mild evidence in favour of the stationarity hypothesis, with asymmetric effects present in a few cases. After controlling for structural changes in the Data Generation Processes (DGPs), the results point to stationarity of the series. Thus, in spite of relatively steady headline figures, the budget balance processes in the EU countries from Central and Eastern Europe exhibit substantial instability.     

Re-examination of convergence hypothesis among Indian states in panel stationarity testing framework with structural breaks

This article examines the conditional income convergence hypothesis for 17 major states in India for the period of 1960–2012. Univariate stationarity tests without structural breaks provide evidence against the convergence hypothesis. However, when two or more structural breaks are applied in per capita income series, the incomes of around 11–13 states are found to stochastically converge to the national average. This finding supports the convergence hypothesis for the panel as a whole after accounting for two data features, cross-sectional dependence and structural breaks in incomes, using a unified panel stationarity testing framework.     

Similarity in trade structures,integration and catching‐up1

In this paper, we look at the role of export composition in the growth process, considering how increased similarity in trade structure among countries can induce catching‐up in income levels in a group of countries in transition. We analyze the sectoral export patterns of the Central and Eastern European countries (CEECs) by comparing them to those of the current members of the European Union (EU), focusing on countries’ specialization as suppliers for the EU market, and we assess whether similar export patterns foster the catching‐up process of the CEECs. Our main result is that similarity in export composition has a positive, significant and non‐linear impact on catching‐up, and seems to be driven by the growth of the main export market and delocalization of production more than by other factors.