International output convergence: evidence from an autocorrelation function approach

This paper uses an autocorrelation function (ACF) approach to develop a new testing procedure for international output convergence. We define convergence in terms of sample ACFs of detrended output per capita, and construct an inference set‐up based on resampling and subsampling techniques for dependent data. Using per capita GDP for 15 OECD countries observed over a century, we find that the hypothesis of conditional convergence is unsupported; that, the USA apart, the linearized neoclassical growth model fails to replicate the transitional dynamics of OECD economies; and that these economies do not behave like a club. Copyright © 2008 John Wiley & Sons, Ltd.     

Testing for a change in persistence in the presence of non-stationary volatility

In this paper we consider tests for the null of (trend-) stationarity against the alternative of a change in persistence at some (known or unknown) point in the observed sample, either from I(0)$I\left(0\right)$ to I(1)$I\left(1\right)$ behaviour or vice versa, of, inter alia, [Kim, J., 2000. Detection of change in persistence of a linear time series. Journal of Econometrics 95, 97–116]. We show that in circumstances where the innovation process displays non-stationary unconditional volatility of a very general form, which includes single and multiple volatility breaks as special cases, the ratio-based statistics used to test for persistence change do not have pivotal limiting null distributions. Numerical evidence suggests that this can cause severe over-sizing in the tests. In practice it may therefore be hard to discriminate between persistence change processes and processes with constant persistence but which display time-varying unconditional volatility. We solve the identified inference problem by proposing wild bootstrap-based implementations of the tests. Monte Carlo evidence suggests that the bootstrap tests perform well in finite samples. An empirical illustration using US price inflation data is provided.     

Disaggregate evidence on the persistence of consumer price inflation

This paper uses disaggregate inflation data spanning all of consumption to examine: (i) the persistence of disaggregate inflation relative to aggregate inflation; (ii) the distribution of persistence across consumption sectors; and (iii) whether persistence has changed. Assuming mean inflation to be unchanged, disaggregate persistence inflation is consistently below aggregate persistence. Taking into account an early 1990s shift in mean inflation identified by break tests yields much lower estimates of both aggregate and disaggregate persistence for 1984–2002. But with the mean break, average disaggregate persistence is actually as great as aggregate inflation persistence. A factor model provides a natural framework for interpreting the relationship between aggregate and disaggregate persistence. Copyright © 2006 John Wiley & Sons, Ltd.     

Ratio-based estimators for a change point in persistence

We study estimation of the date of change in persistence, from I(0)$I\left(0\right)$ to I(1)$I\left(1\right)$ or vice versa. Contrary to statements in the original papers, our analytical results establish that the ratio-based break point estimators of Kim [Kim, J.Y., 2000. Detection of change in persistence of a linear time series. Journal of Econometrics 95, 97–116], Kim et al. [Kim, J.Y., Belaire-Franch, J., Badillo Amador, R., 2002. Corringendum to “Detection of change in persistence of a linear time series”. Journal of Econometrics 109, 389–392] and Busetti and Taylor [Busetti, F., Taylor, A.M.R., 2004. Tests of stationarity against a change in persistence. Journal of Econometrics 123, 33–66] are inconsistent when a mean (or other deterministic component) is estimated for the process. In such cases, the estimators converge to random variables with upper bound given by the true break date when persistence changes from I(0)$I\left(0\right)$ to I(1)$I\left(1\right)$. A Monte Carlo study confirms the large sample downward bias and also finds substantial biases in moderate sized samples, partly due to properties at the end points of the search interval.     

International evidence on the value of deposit insurance

The goal of this paper is to improve our understanding of the costs and benefits of explicit deposit insurance. To this end, we compare the opportunity-cost value of deposit insurance services for a large sample of banks drawn from countries with or without explicit deposit insurance. After correcting for certain bank- and country-specific factors, we find that the existence of explicit deposit insurance raises the opportunity-cost value of deposit insurance, but that the presence of a sound legal system with proper enforcement of rules reduces the adverse effects of explicit deposit insurance on the opportunity-cost value of deposit insurance services. Our findings suggest that moral hazards and other incentive problems created by existing governmental deposit insurance schemes differ in magnitude between different types of banks and among different countries, and that explicit deposit insurance should not be introduced in countries with weak institutional environments.     

Recent evidence on the short-term and long-term performance persistence of emerging-market mutual fund returns

This paper analyzes the performance persistence of US-based emerging-market mutual funds. We use a sample of 275 actively managed funds between July 1989 and December 2020 and regress their returns on emerging-market benchmark portfolios. On average, the funds had a significant negative alpha. Contrary to some earlier evidence, we document that the short-term consistency is entirely driven by losses of underperforming funds. The return spread between the short-term winners and losers generates a significant positive alpha that can be fully explained by the momentum in emerging-market stocks. We find no evidence of any long-term regularities. Our findings show that the observed funds exhibit very similar behavior to their developed-market counterparts and may contribute to resolving some inconsistencies in the earlier results.     

The role of task meaning on output in groups: Experimental evidence

Previous research has shown a detrimental effect of low task meaning on individual work output. This paper analyzes whether peer settings are able to counteract this negative effect of low task meaning. First, our results confirm that a low level of task meaning decreases individual output when working alone. However, this effect vanishes completely when working in the presence of a peer. Our analysis implies that organizing work in peer settings might be particularly beneficial in work environments with a low level of task meaning.     

A primal Divisia technical change index based on the output distance function

We derive a primal Divisia technical change index based on the output distance function and further show the validity of this index from both economic and axiomatic points of view. In particular, we derive the primal Divisia technical change index by total differentiation of the output distance function with respect to a time trend. We then show that this index is dual to the Jorgenson and Griliches (1967) dual Divisia total factor productivity growth (TFPG) index when both the output and input markets are competitive; dual to the Diewert and Fox (2008) markup-adjusted revenue-share-based dual Divisia technical change index when market power is limited to output markets; dual to the Denny et al. (1981) and Fuss (1994) cost-elasticity-share-based dual Divisia TFPG index when market power is limited to output markets and constant returns to scale is present; and also dual to a markup-and-markdown-adjusted Divisia technical change index when market power is present in both output and input markets. Finally, we show that the primal Divisia technical change index satisfies the properties of identity, commensurability, monotonicity, and time reversal. It also satisfies the property of proportionality in the presence of path independence, which in turn requires separability between inputs and outputs and homogeneity of subaggregator functions.     

New international evidence on the cyclical behaviour of output: Kuznets swings reconsidered

Spectral analysis is a particularly valuable method for seeking dependences expressed as lags between different magnitudes. Its use in this article was first determined by the search for maximum objectivity in the observation of time series. The possibility of applying it to a large number of series was then examined. This twin requirement resulted from a desire to avoid the criticism generally levelled at statistical studies concerning cyclical movements of the economy. Spectral analysis is based on the theory of stochastic processes. It starts with the core hypothesis that a given time series consists of a large number of sinusoidal components with different frequencies (univariate spectral analysis). It makes it possible to divide a particular category of records into a set of oscillations of different frequencies and then to show the links between the components with the same frequency in the various series examined (cross-spectral or bivariate spectral analysis). It has had limited applications in cliometrics to date. It is used here to determine the frequency of GDP series of several OECD countries. A reminder of the method Sect. 2 is followed by successive examination of the various series chosen, the treatment of these series and the results of spectral analysis Sect. 3. It is then possible as a conclusion to show the prospects of this type of approach and to synthesise a completely new major result for understanding economic dynamics in nineteenth and twentieth centuries, that is to say the existence of a single intermediate cycle with 15–20-year frequency that calls into question or even partially contradicts previous work on economic cycles.      

Adaptive forecasting in the presence of recent and ongoing structural change

We consider time series forecasting in the presence of ongoing structural change where both the time series dependence and the nature of the structural change are unknown. Methods that downweight older data, such as rolling regressions, forecast averaging over different windows and exponentially weighted moving averages, known to be robust to historical structural change, are found also to be useful in the presence of ongoing structural change in the forecast period. A crucial issue is how to select the degree of downweighting, usually defined by an arbitrary tuning parameter. We make this choice data-dependent by minimising the forecast mean square error, and provide a detailed theoretical analysis of our proposal. Monte Carlo results illustrate the methods. We examine their performance on 97 US macro series. Forecasts using data-based tuning of the data discount rate are shown to perform well.     

International evidence on the Democrat premium and the presidential cycle effect

In this paper, we provide further empirical evidence on the relationship between political cycles and stock returns. While previous empirical results on the Democrat premium and the presidential cycle effect are limited to the U.S., we investigate both anomalies using an international dataset covering 15 countries. The database allows us to apply a panel framework, in addition to an empirical analysis of the individual countries. Our results show that the Democrat premium and the presidential cycle effect are not strikingly pervasive global phenomena. This finding is robust and valid after controlling for business-cycle conditions. The panel regressions do not support either of the two anomalies.     

Impact of diversification on the distribution of stock returns: International evidence

In the past, stock returns are often assumed to be normally distributed. Potential gains from international portfolio diversification are thus based on a mean-variance framework. However, numerous empirical results reveal that stock returns are actually not normally distributed. Although previous studies found that both skewness and kurtosis can be rapidly diversified away, these results are only valid for a random sample of a given portfolio size. This paper studies the joint effect of diversification and intervaling on the skewness and kurtosis of eleven international stock market indexes with a holding period spanning from one to six months. A complete set of all possible combinations of portfolios is used. It is found that diversification does not reduce either skewness or kurtosis. As the portfolio size increases, portfolio returns become more negatively skewed and more leptokurtic. As a result, a rational investor may not gain from international diversification.     

Organizational remembering as a trigger for cultural change: Exploring the episodic memories of a financial scandal

Organizational memory research has developed from the 'storage bin' model of memory towards emphasizing collective remembering. We advance this view by proposing organizational remembering not just as the process of evoking past events to reproduce traditions but also as a projection into the future using imagination. Empirically this is illustrated through the qualitative analysis of 27 episodic interviews with employees of a global financial institution, documents and the media coverage of the organization’s involvement in two well-publicized financial scandals. We explore the impact of the episodic memories of those events on employees' readiness for the cultural change programme launched by management after the scandals. The analysis shows how the negative media coverage of the organization generated a powerful dis-confirmation of its working practices among employees and how this was amplified by the strong emotional reactions remembering those events provoked. Management used both to re-frame the past in a narrative used to increase receptiveness to change. Yet the past was brought differently into the present by different organizational groups depending on the future each group imagined, counteracting the impact of the generic management narrative. The findings illustrate the collective, emotional and imaginative qualities of organizational remembering and provide new insights into the process of cultural change through the lens of memory showing how while memories may be shaped by management to respond to crisis, they can also become part of prospective and transformative change processes.     

Capabilities that enhance outcomes of an episodic supply chain collaboration

Firms are increasingly dependent on the knowledge and expertise in external organizations to innovate, problem-solve, and improve supply chain performance. This research examines two capabilities that enable firms to collaborate successfully as a means to combine knowledge and expertise in an episodic collaboration initiative. Building from two theoretical foundations, the knowledge-based and relational views of the firm, we examine the effects of absorptive capacity and collaborative process competence on the outcomes of an episodic collaboration initiative. Using structural equation modeling, we empirically validate the positive effect of absorptive capacity, collaborative process competence and level of engagement on the operational and relational success of a collaboration effort. Results show that collaborative process competence mediates the relationship between absorptive capacity and collaborative engagement, and positively influences both operational and relational outcomes. Finally, we offer suggestions for managers to improve the effectiveness of inter-firm collaboration initiatives and discuss future research opportunities.     

The measurement of marketing efficiency in the presence of spillovers: theory and evidence

We develop a model of marketing efficiency based on a directional distance function that allows for marketing spillovers. A parametric model is used to test for spillovers from rival marketing and from a firm's marketing activity of its other related products. We then show how this information can be incorporated into a non‐parametric model and used to estimate marketing inefficiency. We apply brand level data from the US brewing industry to the non‐parametric model to determine the effectiveness of television, radio, and print advertising. We find that advertising spillovers are important in brewing and show that efficiency estimates are inaccurate when spillover effects are ignored. Our results also suggest that marketing efficiency may be an important component to firm success in brewing, a result that may apply to other consumer goods industries. Copyright © 2006 John Wiley & Sons, Ltd.     

The effect of labor supply changes on output: empirical evidence from US industries

In this paper we examine the relationship between labor supply and industry-level output in the context of the specific factors model. Jones (Trade, balance of payment and growth: essays in honor of Charles P. Kindleberger, Amsterdam, pp 3–21, 1971) shows that a rise in the amount of labor in the economy will increase the output in all industries. We empirically show which industry output is predicted to expand more when the size of labor force grows. Unlike the commonly used Rybczynski Theorem (Economica 22:336–341, 1955) of the Heckscher-Ohlin model, the specific factors model shows that a comparison both of labor intensities and labor demand elasticities plays an important role in determining which output expands relatively more when the size of labor force grows. For this purpose, we illustrate the importance of the parameters of the model in determining how changes in the labor supply affect the output change, with special reference to elasticities of substitution in production. We estimate the elasticity of substitution by using CES production function and show how these estimates describe the general equilibrium of production with one mobile factor (labor) and 25 industries of the US economy using data for 1979–2001. We show that the increase in the supply of labor raise output in all industries, but the magnitudes of the increases in some industries are more than others depending on the value of the elasticity of substitution along with factor intensities between industries. The largest output effect occurs for educational, health care and social service, where a 1 % supply of labor increase would raise output 10.5 %. However, the growth in the labor supply has a small impact on output growth in the range of 0.1–0.6 % in agriculture, petroleum, coal product and finance and insurance industries.     

The nature and antecedents of middle manager resistance to change: evidence from an Italian context

Although widely regarded as central to the successful implementation of change in organisations, middle managers have been relatively neglected in the literature on resistance to change (RTC). Focusing on middle management, we investigated the relative impact on RTC of two key factors commonly identified in the literature as key potential antecedents of resistance, namely individuals' perceptions of the cost/benefits of change and their extent of participation in the change process, respectively. To this end, we first identified a number of alternative hypotheses about the impact of the two antecedents of interest on RTC. We then tested these hypotheses using structured survey data from a sample of over 300 middle managers in the Italian national electricity company (ENEL) which, in the second half of the 1990s, underwent a major programme of change in preparation for its eventual privatization. In line with dominant arguments in the literature, the results of the analysis provided clear support to the idea that both antecedents of interest have a significant impact on middle managers' propensity to engage in various forms of RTC. For the most part, though, resistance amongst middle managers was found to take the form of a failure to engage in various types of pro-change behaviour, rather than of a propensity to engage in more open and active forms of dissent.     

Evaluating change in European industrial relations: research evidence on trends at organizational level

This paper uses evidence from organizations with more than 200 employees in several countries across Europe to explore the proposition that industrial relations in Europe is becoming more convergent around a non-union HRM model. The evidence indicates that, although there are some similar moves taking place, national patterns remain distinctive, the IR/HRM distinction may not be sustainable in Europe and there are significant elements of continuity in industrial relations in Europe alongside the changes that are taking place.