Are Real GDP Levels Stationary in African Countries?

In this study, we apply flexible Fourier stationary unit root test proposed by Enders and Lee (2012) to assess the non‐stationary properties of the per capita real gross domestic product (GDP) for 32 African countries. We find that Fourier stationary unit root test has higher power than linear method if the true data‐generating process of per capita real GDP is in fact a stationary nonlinear process of an unknown form with structural change using the low frequency components. We investigate the stationarity of per capita real GDP from the nonlinear point of view and provide robust evidence that clearly indicates that real output is well characterised by a nonlinear, mean‐reverting process, namely Benin, Botswana, Burundi, Cameroon, Senegal, Sierra Leone and South Africa. Our evidence points that these seven countries are nonlinear stationary, implying that per capita real GDP follows a steady rate of growth, and policy innovations then have temporary effects. These results have important policy implications for African countries.     

Further evidence on property–casualty insurance premiums: Do multiple breaks and country characteristics matter?

This paper employs a panel data stationarity test that incorporates multiple structural breaks to investigate whether property–casualty insurance (PCI) premiums per capita among 40 countries are mean-reverting or not. The results suggest that our panel dataset is stationary after we introduce the structural breaks into the model and consider cross-sectional dependence. However, the results for the panel stationarity test vary with regard to different country characteristics. Countries in which the PCI premiums present a panel unit-root property infer that any external shocks can have a permanent effect on the insurance premiums. Accordingly, the associated insurance authorities should take possible structural breaks and cross-sectional dependence into account when implementing related policies.     

Are Real GDP Levels Trend,Difference, or Regime-Wise Trend Stationary? Evidence from Panel Data Tests Incorporating Structural Change

The unit root hypothesis for international real GDP and real GDP per capita has been the subject of extensive investigation. Using panel methods that incorporate structural change, we reject the unit root null in favor of the alternative of trend stationarity, with one or two changes in the slope for two panels with postwar data and one or two changes in both the slope and the intercept for a panel with long-horizon data. We conclude that real GDP levels are better characterized as regime-wise trend stationary than as either trend stationary without structural change or difference stationary with unit roots.     

Does economic growth affect urbanization? New evidence from China and the Chinese National Congress

Using a panel of Chinese provinces during 1985–2008, we propose an estimation strategy to study the within-province effect that per capita GDP growth may have on the urbanization rate. Our approach exploits the timing of the National Congress of the Communist Party, which is a 5-yearly meeting where national economic policies are debated. Because economic growth is a key policy objective and given that the Chinese fiscal system is highly decentralized, the recurring National Congress may encourage a systematic pattern of spending by provincial governments to foster growth. We find that per capita GDP growth is associated with the timing of the National Congress, and exploiting instrumental variables that convey this timing information, we also find that growth has a statistically significant effect on the urbanization rate.     

Real interest parity: A note on Asian countries using panel stationarity tests

Existing panel data studies of real interest parity are either unable to identify which panel members are characterised by stationary real interest differentials, or are subject to size distortion resulting from the presence of structural breaks and cross-sectional dependencies. Using a panel stationarity testing procedure recently advocated by Hadri and Rao (2008) that allows for structural breaks and cross-sectional dependency, we are unable to reject the stationarity of Asian real interest rate differentials.     

The Unit Root Hypothesis for Aggregate Output May Not Hold after All: New Evidence from a Panel Stationarity Test with Multiple Breaks

This paper investigates the hypothesis of a unit root in output for four panels of real gross domestic product (GDP) and real GDP per capita series in the Organization for Economic Cooperation and Development (OECD). For that purpose, a panel stationarity test is employed that assumes a highly flexible trend function by incorporating an unknown number of breaks in level and slope. This analysis renders clear-cut evidence in favor of regime-wise trend stationarity in OECD output for the three data sets of annual data, while evidence of nonstationarity is found for the data set based on quarterly data, which is composed of only seven countries over the shortest time span. Overall, the results herein stand in stark contrast to previously published results that do not control for the existence of structural change in the trend function, but accord well with those that employ panel unit root tests that allow for a single homogeneous break in the trend function.     

PPP in OECD Countries: An Analysis of Real Exchange Rate Stationarity, Cross-Sectional Dependency and Structural Breaks

The stationarity of OECD real exchange rates over the period 1972?C2008 is tested using a panel of 26 member countries. The methodology followed stems from the need to meet several key concerns: (i) the identification of which panel members are stationary; (ii) the presence of cross-sectional dependence among the countries in the panel; and (iii) the identification of potential structural breaks that might have occurred at different points in time. To address these concerns, we employ a recent test that examines the time series properties of the data within a panel framework, namely the Hadri and Rao (Oxford Bulletin of Economics and Statistics 70: 245?C269, 2008) panel stationarity test. The real exchange rates of the 26 OECD countries are found to be stationary when considered as a panel, but only after allowing for endogenously-determined structural breaks and cross section dependence. We also find that once these structural breaks are removed from the underlying series, the half-life of shocks to the real exchange rate is much shorter than has been calculated in earlier studies.     

Purchasing Power Parity in Developing Countries: Multi-Period Evidence Under the Current Float

Using panel unit root tests, we examine purchasing power parity (PPP) for US dollar real exchange rates of developing countries during the current floating rate period. Since evidence of PPP may vary from period to period, we examine the data for moving 10-year periods from 1976–85 up to 1990–99. We organize panels based on country characteristics influencing the validity of PPP. Those characteristics include openness, inflation, and the level and growth rate of per capita GDP. Although we find stronger evidence of PPP after 1980, our examination of panel data over 15 10-year periods yields only limited support for PPP.     

Dynamics of Income Distribution across Chinese Provinces during 1978–98

This study attempts to examine the growth pattern of China's economy during 1978–98 from the perspective of income distribution dynamics. Motivated by the model of dynamic distribution, a transition matrix is derived from a panel of ratios of provincial real incomes to national averages across 30 provinces over 1978–98. The transition matrix is used not only to reveal the transitions of provinces between the states of income over time, but also to predict whether there is a tendency across provinces to converge in real income per worker in the long run. This study finds evidence of a slight reduction of income dispersion across Chinese provinces over 1978–98. However, the slight reduction of income dispersion is not strong enough for the provinces to converge to mean income. But there is a strong tendency to converge across provinces within regions and it is evident that, in the eastern region, poor provinces caught up with rich ones over the period under study. The long-run distribution indicates that there will not be a tendency to converge in real GDP per capita across provinces in the long run.     

Human capital estimates in China: New panel data 1985–2010

We introduce new provincial level panel data on human capital in China from 1985 to 2010. Our estimation of human capital is based on the Jorgenson–Fraumeni lifetime income approach modified to fit the Chinese data, thereby allowing a more comprehensive measurement of human capital than traditional partial measurements, such as education. Our provincial data are adjusted for purchasing power parity via a living-cost index as well as for real values so that all values are comparable across the provinces and time. We discuss various characteristics of the data, including total human capital, per capita human capital, and labor force human capital, which in turn are disaggregated based on gender and urban or rural location. Our human capital estimates are compared with the provincial physical capital estimates and provincial GDP. As an illustration, we also use the data to estimate a production function and to decompose China's economic growth from physical capital, human capital, and TFP. Our results, compared with those that use traditional specifications, reassure us as to the reliability of our new China human capital data.     

What do we really know about fiscal sustainability in the EU? A panel data diagnostic

We assess the sustainability of public finances in the EU-15 over the period 1970–2006 using stationarity and cointegration analysis. Specifically, we use panel unit root tests of the first and second generation allowing in some cases for structural breaks. We also apply modern panel cointegration techniques developed by Pedroni (Oxf Bull Econ Stat 61(1):653–670, 1999; Econom Theory 20(3):597–625, 2004), generalized by Banerjee and Carrion-i-Silvestre (Cointegration in panel data with breaks and cross-section dependence, European Central Bank, Working Paper 591, 2006) and Westerlund and Edgerton (Econ Lett 97(3):185–190, 2007), to a structural long-run equation between general government expenditures and revenues. While estimations point to fiscal sustainability being an issue in some countries, fiscal policy was sustainable both for the EU-15 panel set, and within sub-periods (1970–1991 and 1992–2006).     

Why Do Differences in Provincial Incomes Persist in Indonesia?

Despite 20 years of sustained economic growth that saw provincial GDPs rise and inequalities in per capita provincial GDPs fall, per capita income disparities among provinces persist. In this paper we present evidence that poor provinces have tended to catch up with middle- and high-income provinces, hut that regions at the top and bottom of the distribution in 1975 finished. In similar positions in 1993 lnvestments in human capital (education and health) seem to be the most effective way of increasing provincial incomes and reducing the disparities in provincial GDP per capita. The poorer provinces and rural areas can grow faster than the richer ones because they can gain the most from better health and education, they have the highest rates of illiteracy, fertility, and infant, child and maternal mortality.     

Growth Effects of Economic Integration: Evidence from the EU Member States

After compiling an index of economic integration that accounts for global (GATT) as well as regional (European) integration of the EU member states we test for permanent and temporary growth effects in a growth accounting framework, using a panel of fifteen EU member states over the period 1950–2000. While the hypothesis of permanent growth effects is rejected, the results—though not completely robust to controlling for time-specific effects—suggest sizeable level effects: GDP per capita of the EU would be approximately one-fifth lower today if no integration had taken place since 1950. JEL no. C33, F15, F43, O52     

私营企业就业人数的面板数据分析

为对我国私营企业就业人数的现状进行分析,以人口、人均GDP、高等学校数和高等学校毕业人数为指标,选取我国2001-2008年31个省市的多指标面板数据对我国私营企业就业人数进行分析。结果表明:私营企业就业人数、人口和人均GDP均为非平稳序列,私营企业就业人数与人口和人均GDP之间存在着显著地稳定关系;一个地区的人口数对该地区私营企业就业人数的作用大于人均GDP对该地区私营企业就业人数的作用。     

Spatial spillovers of regional wages: Evidence from Chinese provinces

This study investigates the effects of spatial interactions on local wages based on a panel data from 31 Chinese provinces between 2001 and 2010. Using the Global Moran's I statistic, we provide empirical evidence for the presence of spatial dependencies in provincial wages. Then, we estimate the provincial wage equation using a spatial panel model that controls for spatial heterogeneity and spatial interdependence as well as other regional characteristics. The empirical results show that spatial wage spillover plays an important role in the determination of local wages. Furthermore, we find that human capital and economic growth are two underlying forces strengthening wage spillovers across provinces.     

Stock prices and the efficient market hypothesis: Evidence from a panel stationary test with structural breaks

This paper investigates whether the efficient market hypothesis holds in stock markets under different economic development levels over the period January 1999 to May 2007. We employ a state-of-the-art panel data stationarity test which incorporates multiple structural breaks. Evidence indicates that when accommodating general forms of cross-sectional dependence as well as controlling for finite-sample bias, the real stock price series appear to be stationary in 32 developed and 26 developing countries, respectively, which is in sharp contrast to the findings in the existing literature. Thus, real stock price indices are stationary processes that are inconsistent with the efficient market hypothesis. This shows the presence of profitable arbitrage opportunities among stock markets. According to these estimated structural breakpoints, we are also able to discover the reason for why there has been a huge impact from past stock prices.     

Spatial spillover and regional economic growth in China

This paper investigates the spatial structure of the provincial economic growth and the spatial spillover in China from 1998 to 2008. First, we apply Moran's index to detect the positive spatial autocorrelations across the provinces of China. Second, we build a new economic geography model and the role of market potential in promoting regional income growth is highlighted. Third, two measures of market potential are constructed and a spatial error model is adopted to obtain the estimations, considering spatial autocorrelation. Controlling for major inputs, such as labor, capital, and human capital, the market potential continues to promote substantial regional growth. On average, an increase of 10 percentage points in the market potential increases the regional GDP per capita growth by 3–5 percentage points.     

Rethinking the impact of GDP on financial development: Evidence from heterogeneous panels

This paper examines the nonlinear impact of real GDP per capita on financial development in a panel of 125 countries. It also determines the moderating effect of inflation on the impact of GDP on financial development. It employs the dynamic panel system generalized method of moments (GMM) and the dynamic common correlated effects (CCE) to do both panel and country‐specific analysis, as well as control for cross‐sectional dependence, heterogeneity and endogeneity. This study shows that GDP has a positive impact on financial development in the entire panel. However, when we split the panel into different income groups, we find a positive impact in the high‐ and middle‐income groups while the impact is insignificant in the low income group. Although we find no evidence of a nonlinear impact of GDP on financial development in the panel, the country‐specific analysis reveals a significant nonlinear relationship between GDP and financial development in 73 countries. We also show that inflation adversely moderates the positive impact of GDP on financial development in middle‐income countries. This study implies that the relationship between GDP and financial development depends on the levels of GDP and inflation rate. We recommend some policy options based on the findings.     

Are Real GDP Levels Nonstationary? Evidence from Panel Data Tests

Ever since the seminal paper of Nelson and Plosser (1982), researchers have focused on the potential nonstationarity of important macroeconomic variables, and unit root tests are now a standard procedure in empirical analyses. While there are many findings of unit roots in macroeconomic variables using the popular augmented Dickey and Fuller (1979) test, this test has low power against near-unit-root alternatives. Recently, panel data procedures have been proposed as an avenue to increased power. This paper applies panel unit root tests to international real GDP and real GDP per capita data. The results overwhelmingly indicate that international real GDP and real GDP per capita levels are nonstationary.     

The impact of foreign direct investment and human capital on economic growth: Evidence from Chinese cities

Using a panel of Chinese cities over the period 1991–2010, we examine the determinants of economic growth, focusing on the role of foreign direct investment (FDI) and human capital. Consistent with the predictions of a human capital-augmented Solow model, we find that the growth rate (along the path to the steady-state income level) of per capita GDP is negatively correlated with population growth rate and positively correlated with investment rate in physical capital and human capital. We find that FDI has a positive effect on the per capita GDP growth rate and this effect is intensified by the human capital endowment of the city. The latter suggests that one way that human capital contributes to growth is to serve as a facilitator for technology transfers stemming from FDI. Furthermore, we find some suggestive evidence that the FDI-human capital complementary effect is stronger for technology-intensive FDI than for labor-intensive FDI. Our results are robust to alternative measures of human capital, model specifications, and estimation methods.