Do per capita health care expenditures converge among OECD countries? Evidence from unit root tests with level and trend-shifts

This study examines the stochastic conditional convergence of per capita health care expenditures (PCHCE) among 19 OECD countries over the period 1972–2008. Specifically, newly developed LM and RALS-LM unit root tests with allowance for two endogenously determined structural breaks are employed. The results indicate support for PCHCE convergence among most OECD countries. The results are stronger in more general tests that control for two breaks and nonnormal errors. Panel unit root tests provide additional support for the stochastic convergence of PCHCE.     

Evidence on the Convergence of Per Capita Income: A Comparison of Founder Members of the Association of South East Asian Nations and the South Asian Association of Regional Cooperation

This paper investigates the per capita income convergence patterns of a set of Association of South East Asian Nations (ASEAN) and South Asian Association of Regional Cooperation (SAARC) countries. We obtained a time‐series analysis for stochastic convergence by applying unit‐root tests in the presence of two endogenously‐determined structural breaks. We then supplemented the results by tests that produced evidence for β convergence. The evidence shows that the relative per capita income series of ASEAN‐5 countries were consistent with stochastic convergence and β convergence, but this was not found for SAARC‐5 countries. For the ASEAN‐5 countries, the structural breaks associated with the world oil crisis and the Asian crisis impacted heavily on the convergence/divergence process.     

Fractional Integration Versus Structural Change: Testing the Convergence of $$\hbox {CO}_{2}$$ Emissions

This paper assesses the stochastic convergence of relative \(\hbox {CO}_{2}\) emissions within 28 OECD countries over the period 1950–2013. Using the local Whittle estimator and some of its variants we assess whether relative per capita \(\hbox {CO}_{2}\) emissions are long memory processes which, although highly persistent, may revert to their mean/trend in the long run thereby indicating evidence of stochastic convergence. Furthermore, we test whether (possibly) slow convergence or the complete lack of it may be the result of structural changes to the deterministics of each of the relative per-capita emissions series by means of the tests of Berkes et al. (Ann Stat 1140–1165, 2006) and Mayoral (Oxford Bull Econ Stat 74(2):278–305, 2012). Our results show relatively weak support for stochastic convergence of \(\hbox {CO}_2\) emissions, indicating that only between 30 and 40% of the countries converge to the OECD average in a stochastic sense. This weak evidence disappears if we enlarge the sample to include 4 out of the 5 BRICS, indicating that our results are not robust to the inclusion of countries which are experiencing rates of growth which are far larger than those of the OECD members. Our results also decisively indicate that a slow or lack of convergence is not the results of a structural break in the relative \(\hbox {CO}_{2}\) emissions series.     

Convergence in per capita health expenditures and health outcomes in the OECD countries

Our analysis of 19 Organization for Economic Co-operation and Development (OECD) countries over the period 1972 to 2006 provides evidence of convergence in per capita health care expenditures for 17 countries, while the US and (to a lesser degree) Norway follow a different path. A simple decomposition of per capita health expenditures reveals that the divergence of the US comes from the divergence of the ‘ratio of health care expenditures to Gross Domestic Product (GDP)’ component, while Norway's divergence is mainly caused by the ‘labour productivity’ component. Interestingly, our results suggest that convergence in per capita health expenditures among the 17 OECD countries does not lead to convergence in health outcomes. Finally, we extend our analysis to examine convergence in various determinants of health expenditures.     

INTERNATIONAL COMPARISONS OF INTER-INDUSTRY WAGE DIFFERENTIALS

We use OECD data to examine inter-industry wage differentials (relative wages among industries) for 14 OECD countries over the period 1970–85. We find, first, that the industrial wage structures have shown remarkable stability over time in terms of rank order for all the countries in the sample. Second, despite their rank order stability, wage structures show a tendency to expand or contract. While the U.S. has shown increasing industry wage dispersion between 1970 and 1985, the pattern is very mixed for other countries. Unionization is a significant factor in explaining cross-country differences. Third, industry wage rankings show some evidence of becoming increasingly similar across nations over time, and this movement is associated with a convergence of per capita incomes. Fourth, industry wage differentials are positively related to an industry's productivity growth, output growth, capital intensity, and export orientation.     

The Stochastic Convergence of CO<Subscript>2</Subscript> Emissions: A Long Memory Approach

In response to equity concerns surrounding the spatial distribution of CO₂ emissions and assumptions of CO₂ convergence within some climate models, this paper examines the convergence of CO₂ emissions within the OECD over the period 1870–2004. More specifically, using the Local Whittle estimator and its variants we examine whether relative per capita CO₂ emissions are fractionally integrated, that is they are long memory processes which, although highly persistant, may revert to the mean/trend in the long run. Our results suggest that CO₂ emissions within 13 out of 18 OECD countries are indeed fractionally integrated implying that they converge over time, albeit slowly. Interestingly though, the countries whose emissions are not found to be fractionally integrated are some of the highest polluters within the OECD, at least in per capita terms. Our results have implications both for future studies of CO₂ convergence and for climate policy.     

Stochastic Divergence or Convergence of Per Capita Carbon Dioxide Emissions: Re-examining the Evidence

This paper revisits the time-series literature on the convergence of per capita carbon dioxide (CO₂) emissions and examines the robustness of previous results. Using a sample of OECD countries for the period 1950–2002 we employ a battery of stationarity and unit root tests including those that allow for cross-sectional dependencies within the panel. We also correct for inaccuracies in previous studies that could result in a trend-stationary series being labelled as converging even if it were actually diverging from the international average. The body of evidence provided by our analysis suggests that per capita CO₂ emissions have not converged among OECD countries during the period under consideration. This finding is of importance to both climate change policy makers and to those who construct climate change models.      

Re-Examining the Empirical Evidence for Stochastic Convergence of Two Air Pollutants with a Pair-Wise Approach

This paper examines the hypothesis of stochastic convergence for two air pollutants emissions (carbon dioxide [CO₂] and sulfur dioxide [SO₂]). The value-added of this paper lies in the use of a recent, alternative econometric method, a pair-wise approach that considers all the possible pairs of log per-capita pollutant emission gaps across all the countries in the sample. In this method, all emissions differences must be stationary around a constant mean. Empirical results support different conclusions on stochastic convergence in per capita CO₂ and SO₂ emissions depending on the choice of the unit root test. The use of specific critical values from the ADF-KPSS joint test overcomes these initial conflicting results and leads to small percentages of stationary pairs around a constant mean; which invalidate the hypothesis of stochastic convergence for per capita emissions of CO₂ and SO₂, even over the OECD sub-dataset.     

Does output have a unit root? New international evidence

In this paper unit-root tests for per capita output of 12 OECD countries are performed. Using traditional unit-root tests, it follows that the unit-root hypothesis cannot be rejected except for the US. However, following the approach of Perron (1989), which takes shifts in mean and/or trend into account, the null hypothesis of a unit-root can be rejected in most countries in our sample. In contrast to Perron, a method suggested by Christiano (1992)is used to determine the break date endogenously.     

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.     

Structural Breaks and Convergence in the Regions of Peru: 1970–2010

The aim of this paper is the analysis of stochastic and β‐convergence in the relative regional per capita outputs using different unit root tests both with and without structural breaks and using a further test that is robust to the presence of I(0) or I(1) errors. It allows robust inference on the estimates of the initial per capita output (intercepts) and the respective growth rates (slopes). The results of the application of unit root tests without structural breaks show the absence of stochastic convergence. However, by incorporating the presence of endogenous breaks, the results are reversed for all regions. In the case of β‐convergence, the results of the robust test W_RQF show that all regions have a structural break at some point during the period 1970–2010. We find different behavior for different regions. There is a catching‐up process and a lagging‐behind process for different groups of regions towards more negative or more positive paths.     

Do the global stochastic trends drive the real house prices in OECD countries?

This paper demonstrates that in the long-run the main determinants of the real housing prices for a panel dataset comprising the quarterly observations of 12 OECD countries are the real GDP per capita and the real interest rate along with the global stochastic trends.     

R&D,innovation and output: evidence from OECD and nonOECD countries

This article uses data from 41 OECD and nonOECD (Organisation for Economic Co-operation and Development) countries to examine the predictions of nonscale endogenous growth theories that an increase in the share of researchers in labour force leads to an increase in innovation and innovation raises per capita output. The results show that an increase in the share of researchers in labour force increases innovation only in the large market OECD countries. Moreover, an increase in innovation raises per labour GDP (Gross Domestic Product) in all nonOECD countries except for low income countries, while raising it only in the high-income OECD countries. These findings suggest that though the large market OECD countries are the world leader in innovation, nonOECD countries benefit more from it in promoting their growth.     

Decomposing changes in the conditional variance of GDP over time

A well established fact in the growth empirics literature is the increasing (unconditional) variation in output per capita across countries. We propose a nonparametric decomposition of the conditional variation of output per capita across countries to capture different channels over which the variation might be increasing. We find that OECD countries have experienced diminishing conditional variation while other regions have experienced increasing conditional variation. Our decomposition suggests that most of these changes in the conditional variance of output are due to unobserved factors not accounted for by the traditional growth determinants. In addition to this we show that these factors played very different roles over time and across regions.     

INTERNATIONAL AND INTERTEMPORAL COMPARISONS OF REAL PRODUCT IN OECD COUNTRIES A GROWTH SENSITIVITY ANALYSIS

This paper provides two new data sets for comparisons of real income in OECD countries. The first set provides adjusted real series for GDP and its components from 1960 to 1993 based on OECD 1990 purchasing power parities. The second set uses OECD PPP of different benchmark years, and interpolates these applying national price indices. Comparisons between both alternatives, Penn World Tahle Mark 5 (PWT 5) and its new version (PWT 5.6), in terms of economic growth and convergence, reveal some remarkable differences. Moreover, there are wider differences concerning the relative countries' position in GDP per capita ranking. Estimations of convergence equations based on OECD data yield a better fit than those obtained using PWT data, although there are also some significant differences between PWT 5 and PWT 5.6. Nevertheless, a very positive result is that other parameters of interest in these equations are not affected by the use of these different data sources.     

Testing Growth Convergence with Time Series Data— a non-parametric approach

A non-parametric time series testing is suggested to analyse the convergence of international output per-capita gaps. Non-parametric tests are based on signs and ranks of time series properties of output differences. The methods are applied to logs of USA percapita income differences for 16 OECD countries from 1900-97. In contrast to the results obtained by Bernard & Durlauf (1995) for the period 1900-87, convergence of output gaps was evident for the majority of countries. However, the trends in 1970-97 and 1987-97 are noticeably more complicated than the homogeneous convergence found in the pre-1970 period. The results indicate that widening USA gaps are now more likely to emerge than steady-state or narrowing gaps.     

Assessing economic convergence in the EU: is there a perspective for the ‘cohesion countries’?

This article analyses the stochastic income convergence within the EU-15. The empirical analysis uses per capita GDP, in PPP and in constant prices of 2005 for the period 1950 to 2010. Apart from the traditional DF type tests we also account for possible structural changes. In this direction, we employ the Zivot-Andrews (1992) and the Lee-Strazicich (1999, 2003) testing procedures, for one and two breaks, endogenously determined. Furthermore, we apply the Carlino and Mills (1993) methodology proposed for the detection of β-convergence. The overall evidence supports the existence of two discrete clubs, the first by the ‘cohesion countries’ (Portugal, Ireland, Greece and Spain) and the second by the remaining members. In particular, there is a clear evidence of convergence within each club, whereas between clubs there is a luck of catching-up effects. Furthermore, investigation of correlation between relative per capita GDP of each country and several factors that are often identified as growth stimulants, namely Total Factor Productivity, FDI, investment and openness confirm, with the exception of Greece, a strong association between these factors and the convergence process. However, progress in the convergence has not been uniform across countries and over time, reflecting the specific interactions between domestic and international factors and their impact on the convergence process of individual countries.     

On the robustness of alternative rankings methodologies: Australian and New Zealand economics departments, 1988 to 2002

Theoretical considerations appear to support the conjecture that stock returns are positively related to growth in the long run. However, the empirical literature does not give unanimous support to the theory. Based on a stochastic general equilibrium model it is argued that the long-run relationship between stock returns and per capita income growth is ambiguous and depends on output volatility. Using a century of data for 20 Organization for Economic Co-operation and Development (OECD) countries it is shown that the relationship between stock returns and growth is positive over the period 1916–1951, in which output volatility was persistent. Outside this period no relationship between stock returns and growth is found. These findings are consistent with the predictions of the theoretical model.     

Stochastic convergence in per capita energy consumption and its catch-up rate: evidence from 26 African countries

Using annual data from 1971 to 2014, we examine stochastic conditional convergence in per capita energy consumption for 26 low income, lower middle-income and upper-middle-income African countries. To do so, we use panel unit root tests that allow for cross-sectional dependence and structural breaks as well as the recently developed univariate Residual Augmented Least Squares-Lagrange multiplier (RALS-LM) unit root test with structural breaks. Although for most countries our evidence suggests stochastic conditional convergence, we find divergence for four countries including DR Congo, Senegal, Egypt and Botswana. Consistent with the neoclassical growth models we also examine the catch-up rate between energy consumption levels of African economies and that one of China and investigate its convergence properties. As African economies continue to grow, regional energy consumption disparity narrows, African energy consumption levels will catch up to the ones in China.     

A pair-wise approach to output convergence between European regions

We apply the Pesaran (2007) pair-wise approach of convergence to the per capita outputs of 195 European regions for the period 1980-2006. Pesaran's approach is based on the computation of the percentage ratio of output gaps which fulfil a given convergence criterion. A high ratio will be interpreted in favour of convergence. In a first step, we define stochastic convergence between two regions as level stationarity of their output gap. Deviations from its equilibrium value will only have a temporary effect. Results from several usual unit root or stationarity tests show us that the percentage ratio of level stationary output gaps is low, which stands against this definition of convergence. However, this convergence criterion excludes the possibility of changes in output gap equilibrium value or catching up between regions. To fit these cases, we combine the pair-wise approach with unit root or stationarity tests with structural breaks. Structural breaks are modelled by dummies (Zivot and Andrews, 1992; Kurozumi,2002) or as smooth structural breaks (Christopoulos and León-Ledesma, 2009). Overall results are not changed as convergence is not accepted more often. Finally, we consider the autocorrelation function approach of Caggiano and Leonida (2009). Autocorrelations and their confidence intervals are estimated for each output gap. Convergence between two regions is accepted if their per capita output gap autocorrelations become nonsignificantly different from zero after some lag. Results show that a high percentage of regions satisfy this convergence criterion. Contrary to the conclusions which could be made from previous results, shocks to output gaps seem to disappear as time passes.