Regional convergence clubs in Europe: Identification and conditioning factors

The aim of this paper is to empirically identify convergence clubs in per capita incomes of European regions and to investigate whether initial conditions − as suggested by the club convergence hypothesis − are responsible for club formation. To tackle this issue, we propose a two-step procedure in which we first endogenously identify groups of regions that converge to the same steady state level, and in a second step we investigate the role of starting conditions and structural characteristics for a region's club membership. Our sample comprises 206 European NUTS2 regions between 1990 and 2002. The results strongly support the existence of convergence clubs, indicating that European regions form six separate groups converging to their own steady state paths. Moreover, estimates from an ordered logit model reveal that the level of initial conditions such as human capital and per capita income plays a crucial role in determining the formation of convergence clubs among European regions.     

Technological differences and convergence in the OECD

Abstract. In this paper we test the homogeneity of the technological parameters among OECD countries, which is the maintained hypothesis in most of the empirical growth literature. We first identify differences in the constant term of the convergence equation estimated for the OECD 1960/1990 sample using a fixed- effects estimator. Then we provide a formal test of the homogeneity of technological parameters across groups of countries. We identify at least two different groups within the OECD, with significantly different technologies. Convergence within each group is fast, supporting the notion of club convergence. Nevertheless, the implausible parameter values obtained for the leading technology club casts some doubts on the validity of the Solow model to account for the long run behaviour of this group of countries.     

Trade and the Speed of Convergence

Numerous studies on income convergence estimate the convergence equation derived for autarkic economies using data from the world that is increasingly integrated. This paper derives a convergence equation for a world integrated by trade from the standard Heckscher–Ohlin model with factor price equalization. The convergence equation for an integrated world differs from the autarkic one in that (1) the growth rate of each economy is increasing in the global growth rate; (2) the rate of convergence is increasing in the global growth rate; and (3) the rate of convergence, under conventional parameter values, is much lower.     

Deriving Long-Run Inequality Series from Tax Data*

Prior to the last three decades, regular surveys on household income were rare or non-existent in many developed countries, making it difficult for economists to develop long-run series on income distribution. Using taxation statistics, which tend to be available over a longer time span, I propose a method for imputing the incomes of non-taxpayers, and deriving the underlying distribution of income. Because taxation statistics are typically disaggregated by gender, it is possible to derive separate income distribution series for men and women in countries where individuals file separately. I show that over the past four decades, the distribution of adult male incomes and the distribution of family incomes are highly correlated. Applying this method to Australia, I develop a new annual series for inequality from 1942 to 2001. Inequality fell in the 1950s and the 1970s, and rose during the 1980s and 1990s – a pattern similar to that in the UK.     

Resource abundance and economic growth in the United States

It is a common assumption that regions within the same country converge to approximately the same steady-state income levels. The so-called absolute convergence hypothesis focuses on initial income levels to account for the variability in income growth among regions. Empirical data seem to support the absolute convergence hypothesis for US states, but the data also show that natural resource abundance is a significant negative determinant of growth. We find that natural resource abundance decreases investment, schooling, openness, and R&D expenditure and increases corruption, and we show that these effects can fully explain the negative effect of natural resource abundance on growth.     

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.     

Bivariate income distributions for assessing inequality and poverty under dependent samples

As indicators of social welfare, the incidence of inequality and poverty is of ongoing concern to policy makers and researchers alike. Of particular interest are the changes in inequality and poverty over time, which are typically assessed through the estimation of income distributions. From this, income inequality and poverty measures, along with their differences and standard errors, can be derived and compared. With panel data becoming more frequently used to make such comparisons, traditional methods which treat income distributions from different years independently and estimate them on a univariate basis, fail to capture the dependence inherent in a sample taken from a panel study. Consequently, parameter estimates are likely to be less efficient, and the standard errors for between-year differences in various inequality and poverty measures will be incorrect. This paper addresses the issue of sample dependence by suggesting a number of bivariate distributions, with Singh–Maddala or Dagum marginals, for a partially dependent sample of household income for two years. Specifically, the distributions considered are the bivariate Singh–Maddala distribution, proposed by Takahasi (1965), and bivariate distributions belonging to the copula class of multivariate distributions, which are an increasingly popular approach to modelling joint distributions. Each bivariate income distribution is estimated via full information maximum likelihood using data from the Household, Income and Labour Dynamics in Australia (HILDA) Survey for 2001 and 2005. Parameter estimates for each bivariate income distribution are used to obtain values for mean income and modal income, the Gini inequality coefficient and the headcount ratio poverty measure, along with their differences, enabling the assessment of changes in such measures over time. In addition, the standard errors of each summary measure and their differences, which are of particular interest in this analysis, are calculated using the delta method.     

The estimation of a hedonic asking and offer rent equation model: An EM algorithm approach

In this paper we claim that modeling housing markets, specifically the rental housing market, should be based on some sort of disequilibrium framework. We posit a model of asking and offer rents in the spirit of a sample selectivity model. This approach allows us not only to test whether landlords and tenants agree upon the marginal evaluations of unit attributes, but also to estimate the impact on rental demand of tenant specific attributes such as family income and race. Since estimators obtained from this procedure are consistent, but not efficient in this two equation context, we employ an EM algorithm in our estimation in order to obtain MLE equivalent estimators. We have found that our data support the use of this disequilibrium approach in that the coefficient estimates for the asking rent equation, under the assumptions of a sample selectivity model, are not coincident with those obtained from an uncorrected equation.     

Testing for Granger non-causality in heterogeneous panels

This paper proposes a very simple test of Granger (1969) non-causality for heterogeneous panel data models. Our test statistic is based on the individual Wald statistics of Granger non causality averaged across the cross-section units. First, this statistic is shown to converge sequentially to a standard normal distribution. Second, the semi-asymptotic distribution of the average statistic is characterized for a fixed T sample. A standardized statistic based on an approximation of the moments of Wald statistics is hence proposed. Third, Monte Carlo experiments show that our standardized panel statistics have very good small sample properties, even in the presence of cross-sectional dependence.     

How far from the Euro Area? Measuring convergence of inflation rates in Eastern Europe

We present a common factor framework of convergence which we implement using principal components analysis. We apply this technique to a dataset of monthly inflation rates of EMU and the Eastern European New Member Countries (NMC) over 1996–2007. In the earlier years, the NMC rates moved independently from an average of the three best performing countries over the past twelve months, while they moved somewhat closer in line with them in the later years. Looking at the sample of the EMU and NMC countries as a whole, there is evidence of a formation of convergence clubs across the two groups.     

Spatial heterogeneity and interregional spillovers in the European Union: Do cohesion policies encourage convergence across regions?

Using a spatial econometric perspective, the speed of convergence for a sample of 163 regions of the European Union (EU) over the period 1981–1996 is estimated. For this purpose, we use a specification strategy which allows an explicit modeling of both spatial heterogeneity and spatial autocorrelation found in the analyzed sample. The estimated final model combines groupwise heterocedasticity, the identification of two spatial regimes and spatial dependence. Our results show how an appropriate consideration of the role of spatial effects can shed new insights into the European convergence process. We find that regions in the EU cohesion-fund countries (Ireland, Greece, Portugal and Spain) are converging separately from the rest of regions of the EU. Our estimations indicate that over the analyzed period, there was a faster conditional convergence in relative income levels of the regions belonging to Cohesion countries (5.3%) than in the rest of the regions of the EU (3.3%). Therefore, our results contrast with other evidence that points to the fact that the convergence process in Europe has weakened or even has stopped at the beginning of the 1980s. Moreover, our work shows clear evidence of separate spatial convergence clubs among EU regions.     

Income distribution dynamics of urban residents: The case of China (1995–2004)

Using a 1995–2004 panel data of Chinese urban residents, we investigate the dynamics of income distribution in cities. According to Kernel estimates of the relative income distribution of Chinese cities, we find that: (1) the national across-city distribution of per capita GDP exhibits an apparent unique-peak distribution in 1995 and an “emerging multiple-peak” one in 2004; (2) for prefecture-level cities, income distribution has evolved to an “apparent multiple-peak” distribution from a unique-peak one; (3) the income distribution of county-level cities maintains a unique-peak curve; (4) most of the income dynamics of urban residents originates from prefecture-and-higher-level cities. We sample three representative provinces and study the urban income dynamics respectively. The analysis suggests that within a single province, urban income distribution evolves from unique-peak to twin-peak curve; while among provinces, income convergence is evident for urban residents. In addition, we measure the incidence of poverty in cities based on our income dynamics analysis, and find that the ratios of people living below absolute poverty line have been decreasing at cities of all levels.     

Are OECD consumption–income ratios stationary after all?

This paper investigates the stochastic properties of the consumption–income ratio for a sample of 23 OECD countries over the period 1960–2005. For that purpose, we employ a battery of recently developed panel unit root and stationarity tests. Our findings from panel unit root tests which do not control for structural breaks appear in line with those from previous studies since they are clearly supportive of the unit root hypothesis. In stark contrast stand the results obtained from the application of a panel stationarity test with multiple breaks, which support the existence of regime-wise stationarity in OECD consumption–income ratios once we control for cross-sectional dependence through bootstrap methods. These findings are reinforced by the median-unbiased estimates of half-lives obtained from impulse-response functions which are found to be finite for the 23 OECD countries.     

Convergence in price levels across US cities

This paper empirically tests for convergence in consumer price indices across 17 major cities in US over the 1918-2008 period. By using the novel OLS estimator introduced by Bao, Y., Dhongde, S., 2009. Testing convergence in income distribution. Oxford Bulletin of Economics and Statistics 71, 295-302, we find overwhelming evidences in support of price level convergence over time.     

Testing convergence of European regions: A semiparametric approach

We provide a reappraisal of income convergence across European regions over the last two decades by using a semiparametric partially linear model to approximate the relationship between the average growth rate of GDP per capita and the initial GDP per capita. Estimation results point out both country heterogeneity and non-linearity in the convergence process. The findings suggest that low income regions, in particular those from new adhesion countries, diverge while medium income regions converge and that there is no evidence of convergence for high income regions.     

中国"超额货币"成因的进一步检验

中国的超额货币一直是理论界颇有争议的话题,因而关于超额货币成因的理论假说有很多种。基于对以往的理论假说进行总结与质疑的基础上,利用货币需求的收入弹性与价格弹性对交易方程式进行调整,并利用中国1991-2003年的数据对调整后的模型进行检验,结果发现:货币需求的收入弹性与价格弹性的变化是导致中国超额货币存在的主要原因。     

REAL INCOME CHANGES O F HOUSEHOLDS IN THE NETHERLANDS, 1977–1983

This paper deals with the construction of statistics on real income changes of households in the Netherlands. Two different figures are computed, called the dynamic and the static figure. The dynamic figure reflects the change in real income as experienced by individuals. It is based on longitudinal data: two panels resulting from an exact match between three files from the Netherlands' IRS. The static figure reflects the change in real income of positions (e.g. of a 60-year old civil servant) instead of individuals. It is based on micro-simulation: changes in wages, taxes, etc. are simulated on a sample of individuals for whom socio-economic and demographic positions are assumed constant.
In the paper we discuss both figures and some other problems, e.g. the concept of real income and the price index. Furthermore we give results for the years 1977–1983 and discuss some differences between the dynamic and the static figure. The most notable result is the large variation in the dynamic figure, exhibiting a very substantial income mobility.     

Nonstationarity and Stochastic Stability of Relative Income Clubs

The recent literature on “convergence” of cross‐country per capita incomes has been dominated by the two hypotheses of “global convergence” and “club‐convergence,” pertaining to limits of estimated income distribution dynamics. Utilizing a new measure of “stochastic stability,” we establish two stylized facts regarding short‐ and medium‐term distribution dynamics. The first is non‐stationarity of transition dynamics, in the sense of changing transition kernels, and the second is emergence, disappearance, and re‐emergence of a “stochastically stable” middle income group. This middle income group emerges as the gap between rich and poor clubs gets larger, and it changes the dynamics of transition to and from the rich and poor clubs, eventually narrowing the gap between the poor and rich as the middle club vanishes. Analyzing the stochastic stability of middle‐income groups is thus a first step toward understanding higher‐order dynamics of narrowing or widening of the gap between rich and poor countries.     

Convergence and the Caribbean

This paper examines the convergence experience of selected Caribbean countries. It examines evidence of reduced dispersion in real per capita income—Sigma convergence—and ‘catch up’ growth across the group—Beta convergence. Estimation of the Solow—Swan cross-section model for the Caribbean shows weak evidence of β and σ convergence. However, structural instability and evidence of divergence over the sample period, suggest this convergence to be spurious. Further tests on individual country data showed an absense of steady state convergence for any country over time. Institutional structures and adjustments to economic shocks appear to have been important for the determination of per capita income in the long run.     

近年来中国地区差距的变化趋势

改革开放以来,我国的地区差距经历了一个先缩小后持续扩大的历程。与20世纪90年代相比,近年来我国的地区差距发展趋势出现了一定的变化,2000—2004年,我国的地区差距仍然在持续扩大,但扩展的速度比20世纪90年代有所减缓,2004年出现了地区差距缩小的迹象。本文考察了地区差距变化的决定因素,发现中国地区经济存在条件收敛性,同时也存在促使地区差距持续扩大的因素,通过对地区经济增长进行分解,本文分析了多种因素对地区差距发展变化的贡献。