Nominal and real convergence between the CEE countries and the EU: a fractional cointegration analysis

This paper examines the real and nominal convergence between the Central and Eastern European countries and the EU, using fractional cointegration analysis for the period 1980–2003. Fractional cointegration analysis is a flexible methodology, which allows for more subtle forms of mean reversion. The tests performed are those of Geweke and Porter-Hudak. The convergence processes are valid when macroeconomic time series used in the study are fractionally cointegrated. The results indicate that inflation and interest rates series of six sample countries are fractionally cointegrated with those of the EU. Therefore, nominal convergence has been achieved by some of the transition countries, but the equilibrium errors display long memory. Results also indicate that industrial outputs of most countries in the sample are not fractionally cointegrated with that of the EU. The results further indicate that both nominal and real convergence have been achieved only for Hungary.     

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.     

Is There Long Run Industrial Convergence in Europe?

This paper examines whether convergence is occurring at the industry level in 11 EU countries from 1960 to 1993. Both time series and non-parametric (σ-convergence) methods are applied. Using time series analysis we test whether there is within sector convergence towards a common steady state. Although we adopt a very flexible definition of steady state, allowing for two stochastic trends, given by the sector-specific technology and by the country-specific characteristics, as well as a time trend, we find very little evidence for convergence. Results indicate that the deviation of the national trends from the European average trend are persistent, and that EU countries do not respond to the same long run driving processes, but only to the same short run shocks. From σ-convergence analysis we find that convergence in aggregate productivity does not hold uniformly at the industry level: some sectors, such as communications, distribution and non-market services, present strong evidence of convergence, and some others, mainly manufactures, show substantial divergence. However, interestingly, we find that productivity was strongly converging within all sectors in 1960–73, whereas it shows a general tendency to diverge after 1985. We interpret the switch from convergence to divergence as the effect of a process of radical change, driven by information technologies, affecting all industries in the last two decades. We arrive at the general conclusion that convergence is not an inevitable process, but rather a cyclical phenomenon alternating with divergence.     

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.     

Is the environmental performance of industrialized countries converging? A ‘SURE’ approach to testing for convergence

In this paper, we test for convergence in the environmental performance of a sample of OECD countries, with data ranging from 1971 to 2002. First, we use Data Envelopment Analysis (DEA) to compute two environmental performance indicators (EPIs) in the production theory framework. Second, we propose the use of a sequential multivariate approach to test for convergence in environmental performance. These tests allow us to reconcile the time series literature with the cross-sectional dimension, which is basic when testing for convergence in regional blocs. The SURE technique is used, which allows for the existence of correlations across the series without imposing a common speed of mean reversion. The empirical results show that the group of countries as a whole, as well as the majority of countries considered on an individual basis (results for some countries vary between EPIs), are catching-up with Switzerland (the benchmark country).     

Convergence of international output Time series evidence for 16 OECD countries

This article examines convergence of per capita output for 16 OECD (Organization for Economic Cooperation and Development) countries. Conventional tests on conditional and time series convergence have given mixed results for similar economies. Utilizing the concepts of deterministic and stochastic convergence, we develop techniques which incorporate endogenously determined break points to test the unit root hypothesis in relative per capita income. The tests provide evidence of deterministic convergence for 10, and stochastic convergence for 14, of the 16 OECD countries. Our findings reveal that World War II is the major cause of the structural shifts in relative output.     

Analyzing a panel of seasonal time series: Does seasonality in industrial production converge across Europe?

In this paper we consider deterministic seasonal variation in quarterly industrial production for several European countries, and we address the question whether this variation has become more similar across countries over time. Due to economic and institutional factors, one may expect convergence across business cycles. When these have similar characteristics as seasonal cycles, one may perhaps also find convergence in seasonality. To this aim, we propose a method that is based on treating the set of production series as a panel. By testing for the relevant parameter restrictions for moving window samples, we examine the hypothesis of convergence in deterministic seasonality while allowing for seasonal unit roots. Our main empirical finding is that there is no evidence for convergence in seasonality.     

Convergence in Sub-Saharan Africa: a nonstationary panel data approach

Given the development of time series econometrics and nonstationary data analysis, St. Aubyn (Empirical Economics, 24, 23–44, 1999) demonstrates a new paradigm for testing income convergence, or better defined, income stability, namely testing the stationarity of pair-wise income differentials. In this paper, a panel data set of Sub-Saharan African countries is constructed and panel cointegration and unit root tests are used to investigate the convergence properties of incomes and standards of living within Africa. Overall, little evidence is found to substantiate claims of convergence across Africa, although in some cases, smaller convergence clubs within Africa may be found. In addition the use of nonstationary panel data techniques is proposed for the testing and establishing of coherent convergence clubs.     

FISCAL CONVERGENCE IN THE EUROPEAN UNION BEFORE THE CRISIS

This article investigates fiscal convergence attained by EU countries in the period 1991–2008, by employing β‐ and σ‐convergence techniques complemented by a time series analysis. Overall our results highlight a distinctive convergence pattern in the European Union. Fiscal discipline leading to a fast convergence of deficit/GDP ratio over the 1990s markedly weakened in the following decade. Nonetheless, after the Euro debut a pronounced convergence in total revenue and total government spending emerges, with different patterns characterizing each expenditure component. Despite this evidence of fiscal harmonization, European treaties failed to attract countries toward a common share of government debt over GDP. (JEL E61, H11, C23)     

New evidence on the convergence of international income from a group of 29 countries

This paper updates and extends the time-series evidence on the convergence of international incomes using a set of 29 countries over the period 1900–2001. Time-series tests for stochastic convergence are supplemented with tests which provide evidence on the notion of “β-convergence” predicted by the Solow model. The evidence indicates that the relative income series of 21 countries are consistent with stochastic convergence, and that β-convergence has occurred in at least 16 countries at some point during the twentieth century. Further examination of the properties of the β-convergence test provides anecdotal evidence of conditional convergence in three additional countries for which the convergence hypothesis was initially rejected. Consideration of convergence clubs strengthens the evidence in favor of convergence. Analysis of the cross-country dispersion of incomes over time also suggests that convergence has occurred over the 1900–2001 period, particularly within certain clubs, with structural breaks associated with World War II in many countries causing a break in the convergence process.      

Convergence and catching up in ASEAN: a comparative analysis

The increasing diversity of average growth rates and income levels across countries has generated a large literature on testing the income convergence hypothesis. Most countries in South-East Asia, particularly the five founding ASEAN member countries (ASEAN-5), have experienced substantial economic growth, with the pace of growth having varied substantially across countries. Recent empirical studies have found evidence of several convergence clubs, in which per capita incomes have converged for selected groupings of countries and regions. This paper applies different time series tests of convergence to determine if there is a convergence club for ASEAN-5, as well as ASEAN-5 and the USA. The catching up hypothesis states that the lagging country, with low initial income and productivity levels, will tend to grow more rapidly by copying the technology of the leader country, without having to bear the associated costs of research and development. Given the important effects of technological change on growth, this paper also examines whether ASEAN-5 is catching up technologically with the USA.     

Innovation dynamics in the EU: convergence or divergence? A cross-country panel data analysis

This paper investigates whether a convergence or divergence of national innovation capabilities of the 15 EU countries occurs in the course of time. An answer to this question permits immediate conclusions with regard to the success prospects of a convergence of per capita incomes and labor productivities within the EU. For the empirical analysis based on patents granted at the US-Patent and Trademark Office, unit root tests for time series and panel data are used to scrutinize the convergence hypothesis. Taking all results together, evidence points to the fact that an absolute convergence of innovation capabilities is an exception. However, for a number of countries the results suggest either conditional convergence or convergence to their own growth paths.

Convergence across industrialised countries (1890–1989): new results using time series methods

Augmented Dickey Fuller (ADF) and Kalman filter convergence tests are applied to annual GDPs per head to 16 industrialised countries from 1890 to 1989. Results favour convergence towards the US with a structural break following the Second World War. Estimates suggest that steady-states were higher after the war and that speeds of convergence are different across countries. The Kalman filter method dismissed the no convergence hypothesis more often than its ADF counterpart. This could explain the apparent contradiction in earlier empirical work on similar data sets (cross-section methods tended to favour convergence while time series methods were unable to dismiss the no convergence hypothesis.) First version received: February 1996/final version received: September 1997     

Catching Up and Convergence: Long-run Growth in East Asia

The paper attempts to combine the traditional learning model with the recent theory of economic growth using Maddison's long‐run real GDP per capita data of the three fastest growing countries in East Asia: Korea, Taiwan, and Japan. The authors first explain games of catching‐up among nations, and then explain the learning coefficients of Taiwan and Korea with Japan and the United States through periods before and after World War II. The model of leaning leads to the logistic model of economic growth of convergence between two countries. Using time‐series data, the coefficients of a logistic model are estimated to confirm that the real GDP per capita of Taiwan and Korea are converging to that of Japan and the United States, respectively. Similarly, Japan's GDP per capita converges to that of the United States. The time required for finite convergence for these countries is also estimated.     

Real convergence: empirical evidence for Latin America

This article investigates the real convergence of 17 Latin American countries to the US economy for the period 1950 to 2011. Time series methods are used to test stochastic and β-convergence. These methods include the possibility of one or two structural changes. The results show that when endogenous structural changes are considered several Latin American countries exhibit stochastic convergence. Nevertheless, real convergence to the US is found only for three Latin American countries: Chile, Costa Rica and Trinidad and Tobago, with these countries also presenting evidence of stochastic and β-convergence.     

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.     

Portfolio choice of financial investors and European business cycle convergence: a panel analysis for EU countries

We investigate the linkage between business cycle convergence and financial portfolio choice for a panel of 18 EU countries. We construct an index of similarity of financial portfolios which we then put into context with the view that “the financial world” has an impact on business cycles and contributes to business cycle convergence via the consumption-wealth linkage. The model which guides our analysis is the International Asset Pricing Model (IAPM). Portfolios of the 18 EU countries investigated by us turn out to become more similar over time. According to our fixed effects GMM TSLS estimations, similar portfolios contribute to a convergence of business cycles—via a convergence of consumption cycles. This turns out to be especially true for country-pairs that include euro area non-member countries and, thus, have quite different income and wealth structures.     

Convergence of fiscal pressure in the EU: a time series approach

The study of fiscal convergence in the EU is a relevant issue in the context of economic integration and fiscal harmonization and we report new empirical evidence on this topic using a time series approach. We apply unit root and stationarity tests with an endogenous break for the study of long run, deterministic and stochastic convergence of the national tax burden taking Germany, the United Kingdom and the European average as benchmarks. Only the United Kingdom and Germany show long run convergence and few countries converge despite harmonization efforts and fiscal competition.     

Real convergence in some Central and Eastern European countries

This article examines the real convergence hypothesis in some Central and East European countries (both towards the German and the US economies) by means of using time series techniques during the period 1950 to 2003. No evidence is found of real convergence for the whole period. However, when one allows for structural breaks, evidence is found of a catch-up process during the 1990s to 2003 period for Poland, the Czech Republic and Hungary towards Germany and only for Poland towards the US economy.     

Dynamic spatial modelling of regional convergence processes

Econometric analysis of convergence processes across countries or regions usually refers to a transition period between an arbitrary chosen starting year and a fictitious steady state. Panel unit root tests and panel cointegration techniques have proved to belong to powerful econometric tools if the conditions are met. When referring to economically defined regions, though, it is rather an exception than the rule that coherent time series are available. For this case we introduce a dynamic spatial modelling approach which is suitable to trace regional adjustment processes in space instead of time. It is shown how the spatial error-correction mechanism (SEC model) can be estimated depending on the spatial stationarity properties of the variables under investigation. The dynamic spatial modelling approach presented in this paper is applied to the issue of conditional income and productivity convergence across labour market regions in unified Germany.First version received: December 2002/Final version received: June 2003We would like to thank an anonymous referee for his helpful comments.