Are you really doing good things in your boss's eyes? Interactive effects of employee innovative work behavior and leader–member exchange on supervisory performance ratings

Organizations increasingly depend on employee efforts to innovate. However, the quality of relationships between leaders and employees may affect the recognition that employees receive for their innovative work behaviors. Drawing from a social cognition perspective, we tested a model in which leader–member exchange (LMX) moderates the impact of employee innovative work behavior on supervisory ratings of employee performance. Results from two multisource studies combining self, colleague, and supervisor ratings consistently showed that employees receive more favorable performance ratings by engaging in innovative work behavior when they have high‐quality LMX relationships. Moreover, we found that this interactive relationship was mediated by leader perceptions of innovative employee efforts, providing support for a moderated mediation model. Implications for the literatures on performance appraisal, LMX, and innovation are discussed.     

Asymptotics for Autocovariances and Integrated Periodograms for Linear Processes Observed at Lower Frequencies

One of the most frequently used class of processes in time series analysis is the one of linear processes. For many statistical quantities, among them sample autocovariances and sample autocorrelations, central limit theorems are available in the literature. We investigate classical linear processes under a nonstandard observation pattern; namely, we assume that we are only able to observe the linear process at a lower frequency. It is shown that such observation pattern destroys the linear structure of the observations and leads to substantially different asymptotic results for standard statistical quantities. Central limit theorems are given for sample autocovariances and sample autocorrelations as well as more general integrated periodograms and ratio statistics. Moreover, for specific autoregressive processes, the possibilities to estimate the parameters of the underlying autoregression from lower frequency observations are addressed. Finally, we suggest for autoregressions of order 2 a valid bootstrap procedure. A small simulation study demonstrates the performance of the bootstrap proposal for finite sample size.     

The quarterly national accounts trend–cycle filter versus model–based filters

Abstract. In this paper, we first review the Spanish Quarterly National Accounts (Sqna) trend–cycle filter and give a formula to compute the first component of the filter that corrects an error in the expression that has been used in the Sqna System so far. Then, the results obtained with this last filter are compared to the ones obtained using the Tramo andSeats programs, which apply a model–based methodology. It is concluded that the {sc Sqna} filter presents some problems, such us the generation of spurious cycles, a phase delay, non–efficient initial conditions and larger estimation errors, which can be avoided if model–based filters are used. A Hodrick–Prescott filter with a suitable smoothing parameter is proposed to smooth trend–cycle series that are somewhat volatile and have been obtained with model–based filters. In this way, smooth signals can be obtained that are free of spurious cycles.     

Do Analysts Matter for Corporate Tax Planning? Evidence from a Natural Experiment

We exploit an exogenous shock to analyst coverage as a result of brokerage house mergers and closures to examine whether financial analysts influence the tax‐planning activities of the firms they cover. Using a difference‐in‐differences design, we find that, on average, firms affected by broker mergers and/or closures experience a reduction in their GAAP (cash) effective tax rates (ETR) of 2.5 percent (2.6 percent), relative to control firms, translating into average tax expense (cash tax) savings of $34 ($35) million. The treatment effect is more pronounced among firms with lower pre‐event analyst coverage. To explore how analysts affect tax planning, we further document that the treatment effect is greater among firms that lose an analyst who provided an implied ETR forecast in the past, suggesting that analysts influence tax planning via their tax‐specific research efforts. In addition, we find that after merger/closure, weakly governed firms increase their use of aggressive tax strategies, and financially distressed firms experience a larger reduction of cash effective tax rates, relative to control firms. Overall, we provide evidence that a shock to analyst coverage sufficiently changes the cost‐benefit trade‐off of tax planning.     

Why do stock repurchases change over time?

Recent studies have shown the time trends of firm stock repurchase behavior. We examine these time changes for stock repurchase through the lens of real activities earnings management. Managers appear more likely to manipulate earnings through stock repurchases since the passage of the Sarbanes–Oxley Act (SOX) in 2002. Furthermore, suspect firms that just missed analyst earnings per share forecasts have higher incentives to manipulate earnings through stock repurchases. The results are not driven by changes in corporate governance associated with the passage of SOX. Overall, our results suggest earnings management can be a significant determinant of the dynamics of stock repurchases.     

Determinants of bank’s interest margin in the aftermath of the crisis: the effect of interest rates and the yield curve slope

Empirical Economics - This paper analyses the determinants of net interest margin, focusing on the impact of interest rates and the slope of the yield curve, using a broad panel of data from 32...