GDP Estimates: Rationality Tests and Turning Point Performance

The reliability of BEA’s estimates, as measured by the magnitude and pattern of revisions, is highly important to economic policy-making and business decisions. We find evidence that the revisions are partially predicable using contemporaneously available information for the current quarterly estimates of GDP. Information about national income is found to significantly supplement the information found in the final current quarterly estimates of GDP in explaining the revisions to the latest-available estimates of GDP. However, there is little evidence of the predictability of revisions in GDI or national income. Finally, both the advance and final current quarterly estimates are found to do a reliable job of measuring GDP and GDI around cyclical peaks, but a less reliable job around cyclical troughs, the declines preceding the troughs are overstated and the upturns after the troughs are understated. An earlier and somewhat expanded version of this paper, “Revisions, Rationality, and Turning Points in GDP,” was presented at the session “Tracking the Turning Points in the Economy,” AEA meetings January 3–5 2003, Washington DC. It is available in the “working papers” section of BEA’s web site, www.bea.gov     

Taxation of natural resources and economic growth in Russia's regions

We examine the impact of natural resources on economic growth in Russia's regions since the introduction of the mineral tax in 2002. Using novel measures of regional natural resource rents (mineral tax collections), we demonstrate that non-hydrocarbon wealth has had a slightly positive and hydrocarbon wealth has had no to a slightly negative effect on regional growth since 2002, although mineral-rich regions are richer than other regions. The absence of significant growth benefits to resource-endowed regions is at odds with the beneficial impact of natural resources, and particularly hydrocarbons, on the growth of the country as a whole. We discuss the reasons for this outcome and conclude that the central government was successful in taxing away incremental regional resource rents during 2002–2011, while preserving the pre-2002 regional rents.     

Technical efficiency and region The U.S. manufacturing sector 1972–1977

In this paper we estimate the extent of technological bias in an interregional context for U.S. manufacturing during the period 1972–1977 using a factor augmenting production function approach. We present estimates of the elasticity of factor substitution for each of the 48 states in the sample using a variable elasticity of substitution production function. Next, we use these estimates to generate estimates of the rates of change in the efficiencies of capital and labor inputs and compare these estimates across states and census regions. We also examine and compare estimates of total factor productivity across states and regions. We ,find that the average annual rates of growth of capital efficiency during the period are 5.5 percent in the Northeast, 5.3 percent in the Northcentral, 5.6 percent in the West and 3.1 percent in the South. The rates of change of the efficiencies of labor are found to be negative across all regions except the South. The rates of change of total factor productivity are found to be 1.7 percent in the Northeast, 2.3 percent in the Northcentral, 2.4 percent in the West and 1.7 percent in the South. We also find that between 33 percent and 56 percent of the growth of output across regions is due to technical progress.     

Does migration arbitrage regional labor market differentials?

"This paper examines the determinants of regional migration [in the United States] in the 1980s using a place-to-place migration model in which migration flows depend upon the relative economic opportunities in the origin and destination regions. Using the results of the model, we then examine the potential role for migration in diffusing the economic pressures associated with disparate regional economic growth. Although the results reinforce the notion that divergent regional growth was an impetus to migration in the 1980s, estimates of the employment status of movers suggest that the true effects of migration on unemployment differentials may be quite small."     

Fluid Spatial Imaginaries: Evolving Estuarial City‐regional Spaces

This article looks at successive attempts to create new spatial imaginaries around three estuary‐based city regions in England: the London–Thames Gateway, the Atlantic Gateway/Mersey Belt (Manchester and Liverpool), and Hull and the Humber ports. We develop a framework of analysis for new planning and regeneration spaces that takes forward debates on relational and territorial geographies, spatial imaginaries and the creation of new regional identities as governance objects. Specifically, we adopt a long‐term and comparative perspective that allows an examination of how successive efforts at regional building are both path‐dependent and context‐specific, as new approaches reflect emerging ideas about how best to construct successful regions in a changing global economy.     

The use of monthly and quarterly data in an ARMA model

This paper deals with specification, prediction and length of interval between the observations in an ARMA model. An AR(1) model is found to be suitable for a specific monthly time series. From this series we construct two types of quarterly series and derive the corresponding ARMA models. The theoretical parameter values of the quarterly models, given the monthly model, are compared with the values found empirically when no monthly series exists. By using the variance of the predictor error, we assess the performance of all specifications in predicting up to one year ahead. We show that while the monthly model performs best in theory, the values computed directly from the estimates prove in our empirical example the quarterly models to be preferable in most cases where we are to predict more than one quarter ahead.     

Raising the bar (7)

This editorial summarises the papers published in issue 13.1 so as to raise the bar in applied spatial economic research and highlight new trends. The first paper adopts a scale neutral approach to investigate the spatial mechanisms that cause regional innovation and growth. The second paper claims that population-weighting when calculating indices of regional inequality might lead to inconsistent outcomes. The third paper estimates the effect of distance between family residence and higher education institution on a student's academic performance, thereby accounting for endogenous regressors. The fourth paper shows an inverted U-shaped relationship between economic development at region of origin and the propensity to migrate using a multilevel approach. The fifth paper provides spatial econometric evidence of price competition between sellers of used books on Amazon.com. The last paper estimates a hedonic housing price equation and parameterizes the spatial weight matrix to determine how far back in time buyers, sellers and realtors are looking at the housing market.     

Local Economic Structure and Growth

Abstract

This paper tests how the local economic structure—measured by local sector specialization, competition and diversity—affects growth of manufacturing sectors. Most of the empirical literature assumes that in the long run more productive regions will attract more workers and use employment growth as a measure of local productivity growth. However, this approach is based on strong assumptions, such as those of national labour markets and homogeneous labour. This paper shows that if we relax these assumptions, regional adjusted wage growth is a better measure of productivity growth than employment growth. This measure is used in order to study regional growth in Portuguese regions between 1985 and 1994. Evidence is found of MAR externalities in some sectors and no evidence of Jacobs or Porter externalities in most of the sectors. These results are at odds with the findings for employment-based regressions, which show that regional concentration and the region's size have a negative effect in most of the sectors. It is also shown that simply using regional wage growth would overstate the effect of regional concentration and competition on long-run growth.     

Regression using mixed annual and quarterly data

By consideration of either Generalised Least-Squares of Theil-Goldberger estimates of equations for which data on the dependent variable is available for a subset of the sample period on only an annual basis, it is shown that best estimates of the equation coefficients may be obtained by Ordinary Least-Squares estimation over the complete set of quarterly observations with quarterly averages substituted for the missing quarterly data, and symmetrically for the corresponding observations on the regressor variables. The approach is extended to the Two-Stage Least-Squares case, and to the (structurally or stochastically) autoregressive case.     

Using the Past to Construct Territorial Identities in Regional Planning: The Case of Mälardalen,Sweden

This study examines how the past is used in the construction of regional identity narratives in policy discourses and documents. Despite assumptions that regional identity is based on shared culture, some authors argue that new forms of regional identity have emerged as the consequence of regions’ involvement in wider networks. Identity has been pursued as an asset to regional attractiveness and economic growth and, as such, is shaped by regional development strategies concerning particular social groups. Socially shared representations of the past through history, cultural heritage and collective memory play an important role in this process, since the past is a powerful resource that may be used to construct images of places, legitimizing claims on territories. Document analysis and interviews with planners are used to analyse strategies for regional development in five counties located in the Mälardalen region, Sweden. This study shows that regional strategies are guided by narratives framing regions from an exclusive outside perspective, leaving internal qualities unnoticed. The past is used to structure these narratives and construct identities that serve economic growth rather than the integration of the plural heritages of the region.     

Small negative surprises: frequency and consequence

Using a large sample of quarterly observations for the 16 years, 1984–99, I present four types of related temporal evidence: (1) a decrease in the tendency of managers to report quarterly earnings that fall slightly short of analyst estimates [small negative surprises of no more than three cents]; (2) the temporal decrease in the tendency of managers to report small negative surprises pertains more to growth than to value firms; (3) the adverse valuation consequence of reporting small negative surprises has increased in severity in recent years; and (4) the temporal increase in the adverse valuation consequence of reporting small negative surprises pertains more to growth than to value firms. My frequency results are robust to alternative definitions of small negative surprises, and my valuation results are robust to including median surprises as a potential correlated omitted variable and are not due to temporal changes in the frequency of losses.     

On the suitability of income inequality measures for regional analysis: Some evidence from simulation analysis and bootstrapping tests

The paper looks at the sensitivity of commonly used income inequality measures to changes in the ranking, size and number of regions into which a country is divided. During the analysis, several test distributions of populations and incomes are compared with a ‘reference’ distribution, characterized by an even distribution of population across regional subdivisions. Random permutation tests are also run to determine whether inequality measures commonly used in regional analysis produce meaningful estimates when applied to regions of different population size. The results show that only the population weighted coefficient of variation (Williamson’s index) and population-weighted Gini coefficient may be considered sufficiently reliable inequality measures, when applied to countries with a small number of regions and with varying population sizes.     

Is agglomeration really good for growth? Global efficiency,interregional equity and uneven growth

According to NEG literature, spatial concentration of industrial activities increases growth at the regional and aggregate level without generating regional growth differentials. This view is not supported by the data. We extend the canonical model with an additional sector producing non-tradable goods which benefits from localized knowledge spillovers coming from the R&D performing industrial sector. This view, motivated by the evidence, generates both an anti-growth and a pro-growth effect of agglomeration for both the deindustrializing and the industrializing regions and leads to two novel results: (1) when agglomeration takes place, growth is lower in the periphery; (2) agglomeration may have a negative effect on the growth rate of real income, both at the regional and at the aggregate level. Our conclusions have relevant policy implications: contrary to the standard view, current EU and US regional policies favouring industrial dispersion might be welfare-improving both at the regional and the aggregate level and may reduce regional income disparities.     

Analysis of regional productivity with capital as a quasi-fixed factor

Most existing studies of regional productivity growth do not incorporate the effect of variations in capacity utilization on changes in output. By failing to do so, their factor productivity estimates are biased. To overcome this shortcoming, we adjust multifactor productivity growth measure for changes in capacity utilization. Our technique recognizes that capital is a quasi-fixed factor which implies that capital in the short run can be either under- or over-utilized by a firm. Our results from 1974 to 1978 show that capacity adjusted multifactor productivity growth measure exceeds capacity unadjusted multifactor productivity growth measure for the nine census divisions. The bias in the capacity unadjusted measure of multifactor productivity growth is approximately 8 percent in East North Central and over 33 percent in Mountain. We find that the aggregate factor productivity growth is slowest in the traditional manufacturing belt (Middle Atlantic and East North Central divisions). The level of aggregate factor productivity in the manufacturing belt, however, is almost 33 percent higher than in regions in the south.     

Impact of high-speed railway construction on spatial patterns of regional economic development along the route: A case study of the Shanghai–Kunming high-speed railway

The Shanghai–Kunming high-speed railway spans the eastern, central, and western regions of China and is an important "horizontal" in the "eight vertical and eight horizontal" railway network of China. This paper estimates the direct impact of opening a high-speed railway on the spatial patterns of regional economic development along the route by integrating GIS technology, spatial panel data models, and the entropy method. The results show that the high-speed railway can significantly increase the economic aggregate and urbanization rates along the route and promote the upgrading of industrial structures, but it has a limited effect on the economic growth rate, showing a weak trend. In terms of spatial patterns, the high-speed railway significantly improves regional accessibility, the strength of economic ties, and economic potential along the route. The regional economy is characterized by weak spatial agglomeration and presents a trend of balanced development. In general, although the economic effect of HSR for the economically lagged regions is smaller in the short term than that in the economically and less economically developed regions, the high-speed railway has the greatest impact on regional economic development and spatial patterns in economically backward areas, thus the economically backward regions have a greater posterior advantage, which is conducive to balancing regional economies and narrowing regional differences.     

The effect of university and regional knowledge spillovers on firms’ performance: an analysis of the Spanish USOs

Previous empirical studies of university spin-off (USO) growth have applied a firm-based approach without modelling how contextual factors may influence firm growth. By adopting an ‘interactionist approach’, this paper tests the hypothesis that the regional and university contexts may partly determine USO growth, together with firms’ internal resources. Using a sample of 531 Spanish USOs located in 16 Spanish regions and launched by 51 universities over the 2001–2013 and applying multilevel modelling with macro- and micro-data, the findings confirmed that regional context, together with firm-specific characteristics, are important for explaining USO growth. More specifically, the presence of venture capitalists, the capacity to generate internal funds, and operating in high-tech industries have a positive effect on USO growth. On the basis of the results, we propose some policies for fostering USO growth.     

Regional patterns and determinants of birth and survival of new firms in Western Germany

This paper documents and assesses the economic performance of metropolitan technology centres in the USA during the business downturn of the early 2000s. We find that many of the USA's leading high-technology centres have performed at or near the national average, but that some of the nation's most prominent technology centres have fared poorly during the downturn, including Silicon Valley. The main factors that accentuated economic decline in technology centres during the recent recession include: a poorly diversified overall economic base; limited diversity within high-technology industries; relatively high (all industry) wages; and high levels of venture capital funding during the end of the ‘boom’ period of the late 1990s. We find that counter to some of the recent literature on regional development and knowledge-based industry clustering and networking, the rules of regional economic development have not changed dramatically with the so-called ‘new economy’. High-technology regions, just as ‘traditional’ industry regions over the past century, are vulnerable to pronounced economic cycles of growth and decline. The cycles can be particularly pronounced if regional economies are not well diversified and labour costs are not moderated during economic downturns. We also find that venture capital can exaggerate rather than moderate regional economic cycles, such as economic growth years in the USA from the late 1990s to the recession of 2001. The model suggests that free-flowing venture capital dollars may result in an over reliance on these funds, at the expense of a sound business model with sustainable growth and reasonable cash flow. Also, business networks associated with venture capital fund flow might be detrimental at critical economic turning points, often resulting in a rush of dollars in a limited business sector, rather than a diversified set of entrepreneurial ventures.     

Scanner data, time aggregation and the construction of price indexes

We examine the impact of time aggregation on price change estimates for 19 supermarket item categories using scanner data. Time aggregation choices lead to a difference in price change estimates for chained indexes which ranged from 0.28% to 29.73% for a superlative index and an incredible 14.88%-46,463.71% for a non-superlative index. Traditional index number theory appears to break down with weekly data, even for superlative indexes. Monthly and (in some cases) quarterly time aggregation were insufficient to eliminate downward drift in superlative indexes. To eliminate drift, a novel adaptation of a multilateral index number method is proposed.     

Monthly forecasting of GDP with mixed-frequency multivariate singular spectrum analysis

The literature on mixed-frequency models is relatively recent and has found applications across economics and finance. The standard application in economics considers the use of (usually) monthly variables (e.g. industrial production) for predicting/fitting quarterly variables (e.g. real GDP). This paper proposes a multivariate singular spectrum analysis (MSSA) based method for mixed-frequency interpolation and forecasting, which can be used for any mixed-frequency combination. The novelty of the proposed approach rests on the grounds of simplicity within the MSSA framework. We present our method using a combination of monthly and quarterly series and apply MSSA decomposition and reconstruction to obtain monthly estimates and forecasts for the quarterly series. Our empirical application shows that the suggested approach works well, as it offers forecasting improvements on a dataset of eleven developed countries over the last 50 years. The implications for mixed-frequency modelling and forecasting, and useful extensions of this method, are also discussed.     

WHAT HAVE WE LEARNED FROM THREE DECADES OF RESEARCH ON THE PRODUCTIVITY OF PUBLIC CAPITAL?

The last three decades have witnessed a great deal of research effort devoted to measuring the private output elasticity of public capital. The wide range of available estimates have precluded any consensus so far, however. This paper reconciles the empirical findings of the literature by quantitatively analyzing a sample of 578 estimates collected from 68 studies for the 1983–2008 period. Using meta‐regression analysis, we show how study design characteristics and publication bias can explain a large fraction of the variation across estimates. We find a short‐run output elasticity of public capital supplied at the central government level of 0.083, which increases to 0.122 in the long run. If, in addition, only core infrastructure at a regional/local level of government is considered, these estimates are almost doubled. The average output elasticity of public capital amounts to 0.106. Our results suggest that public capital is undersupplied in OECD economies.