Productivity and convergence across U.S. States and industries

We examine the sources of aggregate labor productivity movements and convergence in the U.S. states from 1963 to 1989. Productivity levels vary widely across sectors and across states, as do sectoral output and employment shares. The main finding is the diverse performance of sectors regarding convergence. Using both cross-section and time series methods, we find convergence in labor productivity for both manufacturing and mining. However, we find that convergence does not hold for all sectors over the period. Decomposing aggregate convergence into industry productivity gains and changing sectoral shares of output, we find the manufacturing sector to be responsible for the bulk of cross-state convergence.     

Convergence patterns and switchovers in comparative advantage

Although there exists a vast literature on convergence and divergence of income levels across countries or regions at the aggregate level, there is only little work on convergence and/or divergence processes of productivity and wage levels at the more disaggregated industrial level. These are especially important in the context of international trade as these determine the dynamics of comparative advantages and the resulting trade structures between developing and developed countries. In the first theoretical part, we discuss some theoretical aspects of uneven sectoral productivity and wage catching-up processes and their links to dynamic comparative advantages and trade structures. In the second part, we present an econometric study of catching-up of wages, productivity, and labour unit costs. The analysis is conducted at the industrial level (ISIC 3-digit) over the period 1965–1992 for a set of catching-up economies compared with more advanced countries.     

Sectoral Energy- and Labour-Productivity Convergence

This paper empirically investigates the development of cross-country differences in energy- and labour productivity. The analysis is performed at a detailed sectoral level for 14 OECD countries, covering the period 1970–1997. A σ-convergence analysis reveals that the development over time of the cross-country variation in productivity performance differs across sectors as well as across different levels of aggregation. Both patterns of convergence as well as divergence are found. Cross-country variation of productivity levels is typically larger for energy than for labour. A β-convergence analysis provides support for the hypothesis that in most sectors lagging countries tend to catch up with technological leaders, in particular in terms of energy productivity. Moreover, the results show that convergence is conditional, meaning that productivity levels converge to country-specific steady states. Energy prices and wages are shown to positively affect energy- and labour-productivity growth, respectively. We also find evidence for the importance of economies of scale, whereas the investment share, openness and specialization play only a modest role in explaining cross-country variation in energy- and labour-productivity growth.      

Real convergence in Europe: A cluster analysis

In this paper we analyse real convergence in GDP per worker in the EU member states. The aim is to test whether there is evidence of club convergence in the EU, i.e. divergence in GDP per worker. Evidence in favour of cluster or club convergence may be an indication of significant productivity divergences between countries, which may also explain the current turmoil in the euro zone. The results show evidence of different economic growth rates within Europe, which also converge to different steady states, implying divergence in the EU-14. Within the EU-14 member states we observe two convergence clubs, which are not related to the fact that some countries belong to the euro area. Furthermore, Eastern European countries are also divided in two clubs, with a more direct effect of belonging to the euro zone in the composition of the clubs.     

A new approach to determining sectoral priorities in an economy: input–Output elasticities

This paper uses input–Output elasticities to identify important economic sectors. Elasticities of output employment and income are used to identify key sectors of the Greek economy. A comparison of the rankings of economic sectors based on input–output elasticities with those based on net backward linkages indicates significant divergence in sectoral rankings obtained from the two approaches. The elasticity approach yields more consistent estimates of sectoral output employment and income potentials than the net backward linkage approach. Measured in terms of the potential to generate output employment and income agriculture services and textiles are found to be the key sectors for the Greek economy.     

A two-sector Kaleckian model of growth and distribution with endogenous productivity dynamics

This study extends a two-sector Kaleckian model of output growth and income distribution by incorporating endogenous labour productivity growth. The model is composed of investment goods and consumption goods production sectors. The impact of a change in wage and profit shares on capacity utilisation and output growth rates at the sectoral and aggregate levels are identified. The study reveals short-run cyclical capacity utilisation rates and productivity growth dynamics. Even if the short-run steady state is stable, the capital accumulation rate in the consumption goods sector must decrease more than that in the investment sector for long-run stability. When simultaneous rises in profit shares in both the sectors affect long-run aggregate economic growth differently at a steady state, the distributional interests between the same class in different sectors may hamper the long-run economic growth. A policy message is that the effect of income distribution on industrial output growth is not always beneficial. These phenomena are specific to two-sector models and cannot be observed when using conventional aggregate growth models.     

Long-term regional convergence in Mexico: A new look

This paper explores the convergence hypothesis of Mexican states with the national level and with one another from 1940 to 2015. Interpreting convergence as catching-up, we also capture other types of regular evolution, namely, invariance of the income gap over time, permanent absence of the gap, and steadily increasing gap (deterministic divergence). As a tool of econometric analysis, we use a novel model that describes convergence by asymptotically decaying trends and covers other types of evolution as particular cases. The results obtained suggest one or other type of regularity to be peculiar to roughly ca. 40% of income gaps both with the national level and between states. However, convergence is observed only in 6% to 15% of cases. Regarding convergence at the national level, an additional analysis by three 50-year subperiod shows that in many cases the type of evolution changes for the same state from one subperiod to another. Analyzing convergence between states, we find that convergence between neighboring states is more frequent than between other states; however, the effect of the neighborhood is not too strong.     

The effects of integration on regional disparities: Convergence, divergence or both?

This paper offers an explanation for the coexistence of convergence across countries and the lack thereof at the regional level in the European Union. The model shows that, even if it accelerates growth and brings convergence across countries, the intensification of international knowledge spillovers due to more cross-country interaction may exacerbate within-country regional disparities, if regions with different specialization do not benefit evenly from the exchange of knowledge. The empirical evidence supports the implications of the model. In particular, the data show that regions specialized in advanced sectors at the beginning of the sample period became more similar in terms of per capita income, while regions specialized in traditional sectors lagged.     

Dynamics of sectoral business cycle comovement

Sectoral comovement accounts for a considerable share of the variance of aggregate variables. However, little is known about its time-varying aspects by now. In this article, a multivariate DCC- GARCH framework is employed to study dynamics of sectoral comovement across manufacturing sectors both in the United States and in Germany. To account for possible nonlinearities, asymmetric effects in conditional volatilities as well as in conditional correlations are being assessed. We find that comovement across sectors is not stable but shows irregular movements. Particularly, contractions tend to be more synchronized than expansions in manufacturing sector. Moreover, we examine the role of various aggregate factors for the fluctuations in conditional correlations. Our findings reveal that both the non-constant variability of common factors and the changes in the effects of these factors play role for the fluctuations in sectoral comovement.     

Convergence in Productivity Across Industries: Some Results for New Zealand and Australia

New Zealand shares a wealth of common interests and experiences with Australia. This has tempted some to assume that these economies form an ‘Economic Club’, in which one would expect to identify common aggregate trends and growth experiences. In this paper we present results that test, and generally reject, convergence in labour productivity across Australia and New Zealand, using both aggregate and disaggregate, industry‐level data. We find that only two industries satisfy our definition of Conditional Convergence (Agriculture, Forestry and Fishing and Cultural and Recreational Services), and that the Mining and Wholesale Trade industries have particularly important roles to play in explaining the measured divergence. Cointegration‐based tests reveal more stochastic trends governing Australian productivity than in New Zealand. The evidence suggests, therefore, that the underlying growth processes of the two economies are fundamentally different, thereby questioning the relevance of aggregate comparisons between them. New evidence using industry‐level data does not, therefore, resolve the aggregate‐level ‘non‐convergence puzzle’ identified here, and elsewhere.     

Real Wages,Demand and Employment in the UK 1921–1938: A Disaggregated Analysis

This paper uses the Layard and Nickell model of the labour market to examine the determinants of employment at a sectoral level for the interwar UK economy. Sectoral level data permits examination of the differing responses to changes in the determinants of employment. Estimation of employment functions indicates significant elasticities with respect to aggregate demand variables across a wide range of sectors but less support for a negative real wage effect, particularly in those industries responsible for major losses in employment. The evidence is therefore more consistent with the low-aggregate-demand explanation of labour market behaviour than it is with the high-real-wage hypothesis.     

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.     

RICH STATES,POOR STATES: CONVERGENCE AND POLARISATION IN INDIA

The distribution dynamics of incomes across Indian states are examined using the entire income distribution. Unlike standard regression approaches this approach allows us to identify specific distributional characteristics such as polarisation and stratification. The period between 1965 and 1997 exhibits the formation of two convergence clubs: one at 50% and another at 125% of the national average income. Income disparities across the states declined over the 1960s and then increased from the 1970s to the nineties. Conditioning exercises reveal that the observed polarisation is associated with the disparate distribution of infrastructure. In particular, education, the extent of irrigation and literacy are found to be associated with the formation of the lower convergence club.     

Convergence in Income Inequality: Further Evidence from the Club Clustering Methodology across States in the U.S.

This paper contributes to the sparse literature on inequality convergence by empirically testing convergence across states in the U.S. This sample period encompasses a series of different periods that the existing literature discusses -- the Great Depression (1929–1944), the Great Compression (1945–1979), the Great Divergence (1980-present), the Great Moderation (1982–2007), and the Great Recession (2007–2009). This paper implements the relatively new method of panel convergence testing, recommended by Phillips and Sul (2007). This method examines the club convergence hypothesis, which argues that certain countries, states, sectors, or regions belong to a club that moves from disequilibrium positions to their club-specific steady-state positions. We find strong support for convergence through the late 1970s and early 1980s, and then evidence of divergence. The divergence, however, moves the dispersion of inequality measures across states only a fraction of the way back to their levels in the early part of the twentieth century.     

Sectoral regularities of productivity growth in developing countries--a Kaldorian interpretation

This paper provides a Kaldorian interpretation for empiricalregularities of productivity growth at the sectoral level ofthe economy. The statistical evidence is based on a datasetdrawn from internationally compatible time series for employmentand value added in 30 developing countries. Based on novel non-linearstatistical techniques the findings show: (i) a regular patternof positive sectoral employment elasticities with respect tooutput growth; (ii) robust differences across sectors in themagnitude of the employment elasticities; and (iii) employmentelasticities for all sectors that are significantly less thanunity, suggesting strong evidence for increasing returns atthe sector level of the economy.     

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.     

Technological leadership and sectorial employment growth: A spatial econometric analysis for U.S. counties

This paper studies the determinants of technological catch‐up considering spatial and sectoral aggregation of industries. We investigate how geographical and technological proximity to the technology leader impact regional employment growth. We model technological progress by means of a hierarchical process of catch‐up to the technology leader. We also incorporate measures for knowledge spillover effects to test the roles of competition, specialisation, and diversity at the industry level. Empirical results using data at the county level for different economic sectors (2‐dig NAICS) for the United States indicate that human capital plays a crucial role in promoting sectoral employment growth. The association between technological/geographical distance to the technology leader and employment growth varies across sectors.     

Health Expenses: Evidence from the Club Clustering Approach

This paper explores convergence of real health expenses across the Indian states. The new panel convergence methodology developed by Phillips and Sul (Econometrica 75:1771–1855, 2007) is employed. The empirical findings suggest that these states form distinct convergent clubs, exhibiting considerable heterogeneity in the underlying health expenses patterns.     

Does it matter (for equilibrium determinacy) what price index the central bank targets?

What inflation rate should the central bank target? We address determinacy issues related to this question in a two-sector model in which prices can differ in equilibrium. We assume that the degree of nominal price stickiness can vary across the sectors and that labor is immobile. The contribution of this paper is to demonstrate that a modified Taylor Principle holds in this environment. If the central bank elects to target sector one, and if it responds with a coefficient greater than unity to price movements in this sector, then this policy rule will ensure determinacy across all sectors. The results of this paper have at least two implications. First, the equilibrium-determinacy criterion does not imply a preference to any particular measure of inflation. Second, since the Taylor Principle applies at the sectoral level, there is no need for a Taylor Principle at the aggregate level.     

Disparities in Australian Regional Incomes: Are They Widening or Narrowing?

In this study we examine Australian census data on regional incomes for the period 1976–91. Following a discussion of theories and empirical evidence regarding regional income adjustment, the regional dispersion of per capita income is analysed for the six Australian states and at the sub-state level (statistical divisions, SDs). The coefficient of variation is used as the measure of dispersion, and Gini coefficients are also calculated to analyse income equality within regions. For Australia, the cross-state dispersion of per capita incomes increased over the period, whereas there was neither convergence nor divergence of incomes among Australia's 57 SDs. In addition, the intrastate dispersion of per capita incomes across SDs remained largely unaltered over the period. Gini coefficients indicated that across income strata, the distribution of incomes both within states and within SDs has become more equal.