Moment-based estimation of extendible Marshall-Olkin copulas

Associated with any parametric family of Lévy subordinators there is a parametric family of extendible Marshall-Olkin copulas, which shares the dependence structure with the vector of first passage times of the Lévy subordinator across i.i.d. exponential threshold levels. The present article derives a strongly consistent and asymptotically normal estimator for the parameters in such models. The estimation strategy is to minimize the Euclidean distance between certain empirical and theoretical functionals of the distribution. As a byproduct, the covariance structure of the order statistics of a d-dimensional extendible Marshall-Olkin distribution is computed.     

Trade union cross‐border alliances within MNCs: disentangling union dynamics at the local,national and international levels

This study identifies three types of workplace union strategy in the development of cross‐border relations within North American and European multinational companies: defensive isolation, risk reduction and proactive solidarity. Qualitative case studies of MNCs with operations in Canada and Mexico indicate that the nature and intensity of participation in cross‐border trade union alliances are shaped by the union dynamic at the local, national and international levels. A combination of greater workplace union power resources, notably discursive capacity, and of strong supportive approach of the national union, notably dedicated resources and space for bottom‐up initiatives, contributes to proactive solidarity strategies towards international union networks. The absence of these factors is associated with risk reduction and defensive isolation strategies.     

Media activity and public spending

Politicians seeking reelection need voters to know what they have done for them. Thus, incentives may arise to spend more money where media coverage is higher. We present a simple model to explain the allocation of public spending across jurisdictions contingent on media activity. A politician seeking to maximize the probability of reelection will shift more money to jurisdictions where an extra dollar raises more votes because a larger share of the electorate is informed about his policy. The main prediction of the model is that media activity is higher in the core areas of media markets. This implies higher spending levels there and lower spending levels in remote jurisdictions. Empirical support for this prediction is found using United States data on county-level federal grant allocation, Designated Market Areas and the location of licensed television stations.     

Cointegration Testing in Panels with Common Factors*

Panel unit‐root and no‐cointegration tests that rely on cross‐sectional independence of the panel unit experience severe size distortions when this assumption is violated, as has, for example, been shown by Banerjee, Marcellino and Osbat [Econometrics Journal (2004), Vol. 7, pp. 322–340; Empirical Economics (2005), Vol. 30, pp. 77–91] via Monte Carlo simulations. Several studies have recently addressed this issue for panel unit‐root tests using a common factor structure to model the cross‐sectional dependence, but not much work has been done yet for panel no‐cointegration tests. This paper proposes a model for panel no‐cointegration using an unobserved common factor structure, following the study by Bai and Ng [Econometrica (2004), Vol. 72, pp. 1127–1177] for panel unit roots. We distinguish two important cases: (i) the case when the non‐stationarity in the data is driven by a reduced number of common stochastic trends, and (ii) the case where we have common and idiosyncratic stochastic trends present in the data. We discuss the homogeneity restrictions on the cointegrating vectors resulting from the presence of common factor cointegration. Furthermore, we study the asymptotic behaviour of some existing residual‐based panel no‐cointegration tests, as suggested by Kao [Journal of Econometrics (1999), Vol. 90, pp. 1–44] and Pedroni [Econometric Theory (2004a), Vol. 20, pp. 597–625]. Under the data‐generating processes (DGP) used, the test statistics are no longer asymptotically normal, and convergence occurs at rate T rather than as for independent panels. We then examine the possibilities of testing for various forms of no‐cointegration by extracting the common factors and individual components from the observed data directly and then testing for no‐cointegration using residual‐based panel tests applied to the defactored data.     

Age and Productivity: Sector Differences

In most industrialised countries, the workforce is ageing rapidly. If ageing workforces affect sectors differently, the total impact of ageing will depend on the industrial structure of an economy. This paper measures the impact of changes in the age structure of establishments on productivity using representative linked employer–employee panel data. We argue that establishment age-productivity profiles might differ for various reasons. For example, the importance of physical strength and possibilities to compensate deficits in skills differ between sectors. We investigate differences in the age-productivity profiles between the (metal) manufacturing and services sectors. However, in our preferred specification that controls for several potential sources of estimation biases, we find no significant differences in the age-productivity profiles between these sectors.     

An assessment of the use of partial least squares structural equation modeling in marketing research

Most methodological fields undertake regular critical reflections to ensure rigorous research and publication practices, and, consequently, acceptance in their domain. Interestingly, relatively little attention has been paid to assessing the use of partial least squares structural equation modeling (PLS-SEM) in marketing research—despite its increasing popularity in recent years. To fill this gap, we conducted an extensive search in the 30 top ranked marketing journals that allowed us to identify 204 PLS-SEM applications published in a 30-year period (1981 to 2010). A critical analysis of these articles addresses, amongst others, the following key methodological issues: reasons for using PLS-SEM, data and model characteristics, outer and inner model evaluations, and reporting. We also give an overview of the interdependencies between researchers’ choices, identify potential problem areas, and discuss their implications. On the basis of our findings, we provide comprehensive guidelines to aid researchers in avoiding common pitfalls in PLS-SEM use. This study is important for researchers and practitioners, as PLS-SEM requires several critical choices that, if not made correctly, can lead to improper findings, interpretations, and conclusions.     

A new interpretation of known facts: The case of two-way causality between trading and volatility

Efficient price setting implies that news create volatility since traders flock to the market in order to re-optimise their portfolios. In due course of the price finding process volatility should decline once the asset price approaches its new, efficient level. In this note I present evidence that the reverse mechanism plays as well. Traders genuinely increase volatility challenging the presumption that more traders help to identify the efficient price more quickly.     

Optimal seedings in elimination tournaments

We study an elimination tournament with heterogenous contestants whose ability is common-knowledge. Each pair-wise match is modeled as an all-pay auction. Equilibrium efforts are in mixed strategies, yielding complex dynamics: endogenous win probabilities in each match depend on other matches’ outcome through the identity of the expected opponent in the next round. The designer seeds competitors according to their ranks. For tournaments with four players we find optimal seedings for three different criteria: (1) maximization of total tournament effort; (2) maximization of the probability of a final among the two top ranked teams; (3) maximization of the win probability for the top player. We also find the seedings ensuring that higher ranked players have a higher winning probability. We compare our predictions with data from NCAA basketball tournaments.     

Setting the right prices for the wrong reasons

Nominal price adjustment is studied in an environment with firm-specific and aggregate shocks to economic fundamentals and incomplete, dispersed information. Firms update their expectations about fundamentals based on their own cash flows (revenues and wages). We show that in a model with realistic levels of product-level price dispersion, the firms’ inference about aggregate shocks is very gradual, yet in the aggregate prices adjust rapidly in response to aggregate nominal shocks. When an aggregate shock occurs, firms mistakenly attribute it to firm-specific shocks, but adjust prices nevertheless, since the exact nature of the shock matters little for their optimal pricing decision.