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.     

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.     

Assessing Market Integration in ASEAN with Retail Price Data

We assess the extent of market integration the Association of Southeast Asian Nations (ASEAN) using a comprehensive data set that contains actual local retail prices for 131 goods and services in ASEAN countries (except Laos and Myanmar) over the period of 1990–2013. We conduct two different, but complementary, approaches: analyzing price dispersion and testing for convergence to the law of one price via panel unit root tests. The 1997 Asian crisis and, to a lesser extent, the 2008 global crisis appear to have caused a considerable disruption in the process of market integration. Despite significant tariff reduction under the ASEAN Free Trade Area commitments in the past two decades, the level of price dispersion across ASEAN is higher in 2013 than in 1990. Panel unit root tests accounting for cross‐section dependence show that convergence to the law of one price holds for only a minority of retail prices, including those of traded goods, in the ASEAN markets. We also consider a nonlinear exponential smooth transition autoregressive approach and a structural break as alternative adjustment dynamics in the panel unit root tests. Overall, our results suggest that there is much to be done in ASEAN to achieve a meaningful ASEAN economic community.     

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).     

Heterogeneity and Spatial Dependence of Regional Growth in the EU: A Recursive Partitioning Approach

We use model‐based recursive partitioning to assess heterogeneity of growth and convergence processes based on economic growth regressions for 255 European Union NUTS2 regions from 1995 to 2005. Spatial dependencies are taken into account by augmenting the model‐based regression tree with a spatial lag. The starting point of the analysis is a human‐capital‐augmented Solow‐type growth equation similar in spirit to Mankiw et al. (1992, The Quarterly Journal of Economics, 107, 407–437). Initial GDP and the share of highly educated in the working age population are found to be important for explaining economic growth, whereas the investment share in physical capital is only significant for coastal regions in the PIIGS countries. For all considered spatial weight matrices recursive partitioning leads to a regression tree with four terminal nodes with partitioning according to (i) capital regions, (ii) non‐capital regions in or outside the so‐called PIIGS countries and (iii) inside the respective PIIGS regions furthermore between coastal and non‐coastal regions. The choice of the spatial weight matrix clearly influences the spatial lag parameter while the estimated slope parameters are very robust to it. This indicates that accounting for heterogeneity is an important aspect of modeling regional economic growth and convergence.     

Productivity Measurement in Manufacturing and the Expenditure Approach

This paper studies conversion factors based on the expenditure approach and evaluates the appropriateness for international comparisons of output levels in manufacturing. We apply a consistency check based on the insight that relative productivity levels should be invariant to the choice of base year. Consequently, convergence parameters and dispersion of productivity across countries should also be unaffected by this choice. The results are disappointing: relative measures of productivity depend heavily of the choice of base year and change systematically as the base years roll forward. The conclusion is insensitive to the applied method for developing conversion factors. The implication is that we cannot measure relative productivity levels in manufacturing across countries using the expenditure approach.     

Public and private capital productivity in Russia: a non-parametric investigation

The productivity of public capital has been very popular research topic for US and other OECD countries, while studies using data from transitional countries are almost non-existent. In this paper, we analyze the productivity of public and private capital in Russia with parametric and non-parametric regression methods utilizing a unique regional level panel data from 2003 to 2007. More specifically, we assess public capital’s spillover effects, i.e., the productivity of public capital on private output, as well as the productivity of different capital ownership types on total output. We find that public capital has a clear positive effect on private output. However, our estimates and test statistics show that parametric methods are not able to grasp vast non-linearities and heterogeneity present among Russian regions, while the non-parametric approach can capture these important features of the data better. Furthermore, we find that multicollinearity is an important methodological problem which should be accounted for in analysis concerning capital data. Our results also suggest that the impact of public capital in Russia is heterogeneous in the sense that for some regions its contribution to private output is insignificant or even negative while it has a considerable positive role for most regions. Concerning the capital elasticities of total output, we find that public capital is less productive than private capital and roughly as productive as joint private-public capital.     

Heterogeneous ideas production and endogenous growth: an empirical investigation

Abstract .  We examine the dynamics of ideas production and knowledge-productivity relationship in a panel of 19 OECD countries. A new data set of triadic patents is used. We rigorously address the issues of cross-country heterogeneity and endogeneity. Domestic and foreign ideas stocks exert positive but heterogeneous effects on ideas production. We find evidence of duplicate R&D but little support for endogenous growth. Countries with low domestic ideas bases could considerably improve productivity through ideas accumulation; however, this effect is modest for countries with sizeable ideas bases. An implication is that country-specific R&D policy appears potentially more effective than the one-size-fits-all approach.     

Europe's income convergence and the latest global financial crisis

This paper examines the effects of the 2008 financial crisis on economic growth and convergence across European countries from 1973 to 2012. Employing cross-sectional and dynamic panel data techniques, the results show that the global financial crisis has brought a greater absolute convergence rate rather than divergence, affected richer members more heavily and, presumably, allowed less developed members to recover more quickly. We find evidence that creating the European Union has contributed toward economic growth and convergence; meanwhile, no similar evidence is found concerning the European Monetary Union. Moreover, we present evidence that both the average output per capita and the rate of convergence during the financial crisis fell around 7%.     

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.     

Threshold effects in panel data stochastic frontier models of dairy production in Canada

One of the most enduring problems in econometrics is how to properly account for heterogeneity among firms. Threshold regression models are intuitively appealing methods to deal with this issue. We consider a fixed-effect panel data stochastic frontier model (Schmidt and Sickles, 1984; Martin-Marcos and Suarez-Galvez, 2000) and, relying on Hansen (1999, 2000a), we propose an estimator that accommodates multiple thresholds. Our model assumes absence of any unmeasured time invariant heterogeneity across firms as in Greene (2005, p. 277). Slope and threshold parameters can be estimated using a within estimator combined with a grid search over the threshold parameters. Testing for threshold effects is problematic because threshold parameters are not identified under the null hypothesis, a case of the so-called Davies' problem. We apply the bootstrap procedure proposed by Hansen (1999, 2000a) to test for the presence of thresholds. An asymptotic confidence set for the threshold parameter can be obtained by inverting an LR test, using the distribution result presented in Hansen (1999, 2000a). Our empirical application features a panel of Quebec dairy farms. We use farm size as the threshold variable. The presence of a trend in the specification matters for the determination of the number of thresholds. Technical efficiency scores and rankings of farms estimated from competing model specifications are highly correlated and do not vary significantly across groups of farm sizes defined by the threshold parameter values.     

Does R&D,human capital and FDI matter for TFP in OECD countries?

ABSTRACT

This study investigates the interplay between research and development (R&D), human capital (HC), foreign direct investment (FDI) and total factor productivity (TFP) in OECD countries. We divide the sample into two sub-groups; the European and the non-European states so as to account for underlying country heterogeneity. The analysis follows a panel data approach over the period 1995–2015, taking into account the modelling on non-stationarity, long-run relationships and short-run dynamics with a panel VAR. Both R&D and HC have a positive effect on TFP, whilst FDI has a positive and significant effect only in the case of non-European countries. Moreover, the contribution of R&D is higher than that of HC and FDI in all cases. Thus, based on these findings, policymakers should design and implement policies to increase resources invested in R&D, with a consistent ongoing spending review, to attract foreign direct investment, especially for the majority of the European and some of the non-European countries and to improve education system on a more productive innovation and research base.     

Labor productivity growth: disentangling technology and capital accumulation

How much of the convergence in labor productivity that we observe in manufacturing is due to convergence in technology versus convergence in capital-labor ratios? To shed light on this question, we introduce a nonparametric counterfactual decomposition of labor productivity growth into growth of the capital-labor ratio (K/L), technological productivity (TEP) and total factor productivity (TFP). Our nonparametric specification enables us to model technology allowing for heterogeneity across all relevant dimensions (i.e. countries, sectors and time). Using data spanning from the 1960s to the 2000s, covering 42 OECD and non OECD countries across 11 manufacturing sectors, we find TEP and TFP to account for roughly 46 and ?6% of labor productivity growth respectively, on average. While technological growth at the world level is driven primarily by the US and a handful of other OECD countries, we find strong evidence of convergence in both technology and capital-labor ratios. Interestingly, very few of the usual growth determinants are found to enhance the process of technological catching-up.     

FINANCIAL DEVELOPMENT ON GROWTH CONVERGENCE

This paper investigates whether the impacts of financial development on growth convergence vary with the stage of real development. We implement this analysis through the instrumental variable threshold regression approach proposed by Caner and Hansen. Our empirical evidence shows that financial intermediary development leads to long‐run convergence in growth of both economic activity and productivity. Moreover, such convergence‐enhancing effects of financial intermediation are stronger for less‐developed countries than for the more industrialized. In addition, the data reveal that stock market development assists growth convergence only in low‐income countries.     

Agricultural Productivity Growth and Household Food Security Improvement in Nepal

Nepal is one of the poorest countries in the world. Using the panel data of the Nepal Living Standard Measurement Survey (NLSS), the poverty rate in 1995–96 was estimated to be about 40%, while in 2003–04 it was estimated at roughly 30%. Political instability has prevented the development of industry and threatened the food security of poor people, but scholarship on the factors contributing to food security is incomplete; while the determinants of food security have been mentioned in past research, prior studies have analyzed cross‐sectional data and thus could not have omitted heterogeneity bias. This paper analyzes the change in agricultural productivity in real terms and the impact on household food security by using the panel data of NLSS in 1995–96 and 2003–04. This analysis reveals that growth is observed in real agricultural productivity in spite of land segmentation; the growth in agricultural productivity in real terms has a positive impact on household food security; and the lower a farmer's income becomes, the more positive its impact on food security. Therefore, advancements in agricultural productivity play a critical role in promoting food security at the individual and household levels.     

Product and process innovation and total factor productivity: Evidence for manufacturing in four Latin American countries

The literature on firm productivity recognizes the important role played by firm innovation activities on firm productivity in developed countries. However, the literature for developing and emerging economies is scarce and far from conclusive. The aim of this paper is to study the innovation–productivity link (distinguishing between process and product innovations) for manufacturing at the firm level for four Latin American countries (two classified as upper‐middle income countries by the World Bank—Argentina and Mexico—and two as lower‐middle income—Colombia and Peru). We aim testing whether the level of development is a mediating factor in the innovation–productivity link. The data used have been drawn from the World Bank panel enterprise surveys, for 2006 and 2010. First, we estimate total factor productivity (TFP) and, second, we use the estimated TFP as a regressor or as dependent variable, in two models for testing self‐selection of the most productive firms into innovation or the existence of returns to innovation in terms of productivity. Our results confirm the mediating role of the level of development in the innovation–productivity link: both the self‐selection and the returns‐to‐innovation hypotheses work only for the upper‐middle income countries.     

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.     

Productivity Dynamics in a Large Sample of Countries: A Panel Study

Recent research shows that productivity differences are more important than differences in accumulation rates in explaining per capita income differences across countries. So far static differences in productivity have been mainly computed and analyzed in large samples of countries. This paper extends the research by focusing on productivity dynamics . It uses the panel approach to compute productivity indices for a large sample of countries for two time periods, namely an initial period of 1960–75 and a subsequent period of 1975–90. This allows computation of ordinal and cardinal changes in productivity between the two periods. The results show considerable variation in productivity dynamics across countries. The task ahead is to find out what accounts for the observed dynamics.     

The Great Recession,Household Income,and Children's Test Scores

Economic downturns may have important implications for the educational attainment and human capital accumulation of children. We examine how income losses during the Great Recession were associated with children's educational performance in Ireland, one of the countries most severely affected by the global financial crisis. Using longitudinal data from a nationally representative child cohort study, collected before and after the recession at ages 9 and 13 years, we estimate panel models to examine the impact of income changes on standardized tests. We explore both objective and subjective measures of recession impact, and investigate non-linearities and effect heterogeneity using quantile regression. While income is strongly associated with educational performance overall, there is little evidence of a short-run negative impact of income shocks during the Great Recession on children's test scores.     

Labor productivity and technology heterogeneity

This paper investigates the role of technology club heterogeneity in economic growth and convergence. To do so, we break up labor productivity change into three factors – efficiency, technological, and capital–labor ratio changes – while distinguishing the impact of technology club heterogeneity respectively. This allows us to observe what is happening within and between clubs; as well as between the world and club technologies. Our labor productivity decomposition is nonparametric in nature and thus overcomes the issue of specifying functional forms for the club technologies. Our results reveal the existence of technology heterogeneity and divergence: the world technology is defined by advanced and rich countries; there exists intra-convergence phenomena (mostly due to capital–labor ratio change), but inter-convergences (owning to capital–labor ratio and technological changes) are not found. Finally, we argue that follower and marginalized countries have adopted imitating strategies, but with respect to different dimensions, namely technological change or capital–labor ratio.