Productivity and Growth in UK Industries: An Intangible Investment Approach*

This article calculates some facts for the ‘knowledge economy’. Using new data, first we document UK intangible investment and find that (i) this is greater than tangible investment by £37bn in 2008; (ii) R&D is 11% of total intangible investment, software 15%, and training and organizational capital 22% each; (iii) the most intangible‐intensive industries are manufacturing and financial services. Next, we measure the contribution of intangible capital to growth for 2000–08. We find that intangible capital accounts for 23% of labour productivity growth and treating intangibles as investment lowers total factor productivity growth in the 2000s by 24% (R&D lowers it by 3%).     

Whatever Happened to Goldilocks? The Role of Expectations in Estimates of the NAIRU in the US and the UK*

During the second half of the 1990s the US economy was characterized as the Goldilocks economy: not too hot, nor too cold, but just right. It was argued that this represented a new paradigm, enabling unemployment to remain low without igniting inflationary pressure. We examine the evidence for a change in the relationship between inflation and unemployment for the US and UK using Phillips curve models. The impact of including explicit inflation expectations is also considered. Inflation expectations are found to play an important role, particularly in the US. When expectations are included there is still evidence that the non‐accelerating inflation rate of unemployment (NAIRU) steadily declined during the late 1990s, although this decline in the US NAIRU is not found solely in the 1990s.     

Productivity and Trade Orientation in UK Manufacturing*

We show that improvements in aggregate productivity in UK manufacturing during the first years after the implementation of the Euro, by the UK's main trading partners in Europe, are determined by both market share reallocation and within‐company productivity growth. Furthermore, we outline a structural methodology for estimating parameters of a production function linking the unobservable productivity to endogenous company‐level trade orientation, investment and exit decisions. This allows us to back out consistent and unbiased estimates of productivity dynamics by trade orientation of companies within four‐digit UK manufacturing industries using FAME data over the period 1994–2001. Our estimates of productivity dynamics indicate that improvements in aggregate productivity were mainly driven by market share reallocations away from inefficient and towards efficient exporting companies alongside productivity improvements within non‐exporting companies.     

Identification of Slowdowns and Accelerations for the Euro Area Economy*

Business cycle analyses have proved to be helpful to practitioners in assessing current economic conditions and anticipating upcoming fluctuations. In this article, we focus on the acceleration cycle in the euro area, namely the peaks and troughs of the growth rate which delimit the slowdown and acceleration phases of the economy. Our aim is twofold: first, we put forward a reference turning point chronology of this cycle on a monthly basis, based on gross domestic product and industrial production indices. We consider both euro area aggregate level and country‐specific cycles for the six main countries of the zone. Second, we come up with a new turning point indicator, based on business surveys carefully watched by central banks and short‐term analysts, to follow in real‐time the fluctuations of the acceleration cycle.     

Network Effects and Infrastructure Productivity in Developing Countries*

This study proposes to investigate the threshold effects in the productivity of infrastructure investment in developing countries. It concludes to their presence in the relationship between output and private and public inputs as well as network effects in the productivity of infrastructure. When the available stock of infrastructure is low, investment has the same productivity as non‐infrastructure investment. On the contrary, when a minimum network is available, the marginal productivity of infrastructure investment is greater than the productivity of other investments. Finally, when the main network is achieved, its marginal productivity becomes similar to the productivity of other investment.     

Measuring Synchronization and Convergence of Business Cycles for the Euro area,UK and US*

This paper investigates business cycle relations among different economies in the Euro area. Cyclical dynamics are explicitly modelled as part of a time series model. We introduce mechanisms that allow for increasing or diminishing phase shifts and for time‐varying association patterns in different cycles. Standard Kalman filter techniques are used to estimate the parameters simultaneously by maximum likelihood. The empirical illustrations are based on gross domestic product (GDP) series of seven European countries that are compared with the GDP series of the Euro area and that of the US. The original integrated time series are band‐pass filtered. We find that there is an increasing resemblance between the business cycle fluctuations of the European countries analysed and those of the Euro area, although with varying patterns.     

On Lumpiness in the Replacement and Expansion of Capital*

We estimate a model of homogeneous capital investment with two installation possibilities – replacement and expansion using observations at the establishment level. We find that regime switches identified by ad hoc measures of lumpy investment do not adequately distinguish expansionary from replacement activities. In fact, during periods of expansion, firms spend just as much on replacement capital. Also, using the common 20% rule would not assign a spike to almost 65% of all observations that include expansionary investment in this dataset. Finally, replacement although less responsive to fundamentals than expansions cannot be regarded as an autonomous part of investment.     

Transforming Qualitative Survey Data: Performance Comparisons for the UK*

This paper assesses different ways of converting qualitative data obtained in surveys into quantitative indices for a number of economic variables. The research reported here focuses on the main UK employers’ business survey for manufacturing – the CBI industrial trends survey. Six response variables are investigated – plant and machinery investment, output, employment, exports, price and cost. We find that the balance statistic is a satisfactory method of transforming three of the variables: investment, output and exports.     

On the cyclicality of unemployment: Resurrecting the participation margin

This paper considers a real business cycle model with search frictions in the labor market and labor supply which is elastic along the participation margin. Previous authors have found that such models generate counterfactually procyclical unemployment and a positively sloped Beveridge curve. This paper presents a calibrated model which succeeds at generating countercyclical unemployment and a negatively sloped Beveridge curve, despite the presence of a participation margin.     

Okun's Law Revisited*

In the light of modern theoretical studies, the negative relationship between output and unemployment may take a nonlinear form, in the sense that changes in output can cause asymmetric changes in the unemployment rate. A regime‐dependent specification of Okun's law, where the inverse relationship between cyclical unemployment and cyclical GDP is allowed to differ across recessions and expansions, is estimated for the US economy. Using both the Hodrick–Prescott filter and a bivariate structural time series model to isolate the cyclical component of the variables of interest, the nonlinear specification is highly significant when tested against the linear alternative independently of the method used for extracting the cycle of unemployment and GDP. The estimation results imply that the contemporaneous effect of growth on unemployment is asymmetric and significantly higher in recessions than in expansions, and shocks to unemployment tend to be more persistent in the expansionary regime.     

Capital Services Growth in the UK: 1950 to 2006*

This paper describes a capital services dataset for the United Kingdom developed for use in empirical work, and some of its key features. The estimates are consistent with National Accounts output estimates, making them ideal for use in growth‐accounting or business‐cycle analysis. The divergence between the volume of capital services and the volume of the capital stock after 1980 is highlighted. This divergence is driven by a shift in investment towards short‐lived and more productive information and communication technology assets for which the flow of capital services is high. Standard capital stock measures understate growth in the productive input of capital, especially after 1990.     

The Productivity Effects of Internal and External R&D: Evidence from a Dynamic Panel Data Model*

We examine the impact of internal and external R&D on labour productivity in a 6‐year panel of Dutch manufacturing firms. We apply a dynamic panel data model that allows for decreasing or increasing returns to scale in internal and external R&D and for economies of scope. We find complementarity between internal and external R&D, with a positive impact of external R&D only evident in case of sufficient internal R&D. These findings confirm the role of internal R&D in enhancing absorptive capacity. The scope economies are accompanied by decreasing returns to scale at high levels of internal and external R&D. The analysis indicates that productivity grows by increasing the share of external R&D in total R&D.     

A No‐Arbitrage Structural Vector Autoregressive Model of the UK Yield Curve*

This article combines a Structural Vector Autoregression with a no‐arbitrage approach to build a multifactor Affine Term Structure Model (ATSM). The resulting No‐Arbitrage Structural Vector Autoregressive (NASVAR) model implies that expected excess returns are driven by structural macroeconomic shocks. This is in contrast with a standard ATSM, in which agents are concerned with non‐structural risks. As a simple application, we study the effects of supply, demand and monetary policy shocks on the UK yield curve. We show that all structural shocks affect the slope of the yield curve, with demand and supply shocks accounting for a large part of the time variation in bond yields.     

Econometric Evaluation of the New Keynesian Phillips Curve*

We give an appraisal of the New Keynesian Phillips curve (NPCM) as an empirical model of European inflation. The favourable evidence for NPCMs on euro‐area data reported in earlier studies is shown to depend on specific choices made about estimation methodology. The NPCM can be re‐interpreted as a highly restricted equilibrium correction model. We also report the outcome of tests based on variable addition and encompassing of existing models. The results show that economists should not accept the NPCM too readily.     

Merger Cycles: A Frequency Domain Approach*

Using frequency domain techniques, a cycle of 6‐year duration at the aggregate level and coherent sectoral cycles of average 5‐year duration are found in UK merger activity between 1969 and 2005. It is shown that business and capital market cycles jointly are causal for the merger cycle but the capital market cycle alone is not, suggesting that merger cycles may reflect disequilibria and/or market mis‐valuation. Although the possibility of disequilibrium or strong behavioural influences will complicate social evaluation, no reason is found to advise against the current UK policy stance upon mergers.     

Periodic Unobserved Cycles in Seasonal Time Series with an Application to US Unemployment*

We introduce a general class of periodic unobserved component (UC) time series models with stochastic trend and seasonal components and with a novel periodic stochastic cycle component. The general state space formulation of the periodic model allows for exact maximum likelihood estimation, signal extraction and forecasting. The consequences for model‐based seasonal adjustment are discussed. The new periodic model is applied to postwar monthly US unemployment series from which we identify a significant periodic stochastic cycle. A detailed periodic analysis is presented including a comparison between the performances of periodic and non‐periodic UC models.     

Nonlinearities and Fractional Integration in the US Unemployment Rate*

This paper proposes a model of the US unemployment rate which accounts for both its asymmetry and its long memory. Our approach introduces fractional integration and nonlinearities simultaneously into the same framework, using a Lagrange multiplier procedure with a standard null‐limit distribution. The empirical results suggest that the US unemployment rate can be specified in terms of a fractionally integrated process, which interacts with some nonlinear functions of labour‐demand variables such as real oil prices and real interest rates. We also find evidence of a long‐memory component. Our results are consistent with a hysteresis model with path dependency rather than a non‐accelerating inflation rate of unemployment (NAIRU) model with an underlying unemployment equilibrium rate, thereby giving support to more activist stabilization policies. However, any suitable model should also include business cycle asymmetries, with implications for both forecasting and policy‐making.     

Employment,Inequality and the UK National Minimum Wage over the Medium‐Term*

We assess the impact of the national minimum wage (NMW) on employment and inequality in the UK over the decade since its introduction. We evaluate its effects in each year, using an incremental differences‐in‐differences (IDiD) estimator. Identification is based on variation in the bite of the NMW across local labour markets and the different sized year on year up‐ratings. We find that an increased bite of the NMW is associated with falls in lower tail wage inequality. While the average employment effect over the entire period is broadly neutral, there are small but significant positive NMW effects from 2003 onwards.     

Selecting a Nonlinear Time Series Model using Weighted Tests of Equal Forecast Accuracy*

Nonlinear time series models have become fashionable tools to describe and forecast a variety of economic time series. A closer look at reported empirical studies, however, reveals that these models apparently fit well in‐sample, but rarely show a substantial improvement in out‐of‐sample forecasts, at least over linear models. One of the many possible reasons for this finding is the use of inappropriate model selection criteria and forecast evaluation criteria. In this paper we therefore propose a novel criterion, which we believe does more justice to the very nature of nonlinear models. Simulations show that this criterion outperforms those criteria currently in use, in the sense that the true nonlinear model is more often found to perform better in out‐of‐sample forecasting than a benchmark linear model. An empirical illustration for US GDP emphasizes its relevance.     

Firms' relative sensitivity to aggregate shocks and the dynamics of gross job flows

We propose the coefficient of variation as a measure of the cyclical volatility of gross job flows that is immune to trends in net job creation. In addition, we show that this measure is intrinsically related to the importance of aggregate shocks for fluctuations in job flows at the firm level. Using data for the Portuguese economy, we conclude that the coefficient of variation is a more robust measure for the underlying volatility of gross job flows. We also find that large and old firms exhibit higher relative sensitivity to aggregate shocks than small and young firms, and have a disproportional influence over the dynamics of aggregate job reallocation. In particular, since large and old firms tend to reallocate jobs less procyclically than small and young firms, job reallocation is less procyclical than if all firm classes were equally sensitive to aggregate shocks.