Inference with Dependent Data in Accounting and Finance Applications

We review developments in conducting inference for model parameters in the presence of intertemporal and cross‐sectional dependence with an emphasis on panel data applications. We review the use of heteroskedasticity and autocorrelation consistent (HAC) standard error estimators, which include the standard clustered and multiway clustered estimators, and discuss alternative sample‐splitting inference procedures, such as the Fama–Macbeth procedure, within this context. We outline pros and cons of the different procedures. We then illustrate the properties of the discussed procedures within a simulation experiment designed to mimic the type of firm‐level panel data that might be encountered in accounting and finance applications. Our conclusion, based on theoretical properties and simulation performance, is that sample‐splitting procedures with suitably chosen splits are the most likely to deliver robust inferential statements with approximately correct coverage properties in the types of large, heterogeneous panels many researchers are likely to face.     

Guilt, Shame, and Reparative Behavior: The Effect of Psychological Proximity

Research has paid scant attention to reparative behavior to compensate for unintended wrongdoing or to the role of emotions in doing the right thing. We propose a new approach to investigating reparative behavior by looking at moral emotions and psychological proximity. In this study, we compare the effects of moral emotions (guilt and shame) on the level of compensation for financial harm. We also investigate the role of transgressors’ perceived psychological proximity to the victims of wrongdoing. Our hypotheses were tested through a scenario based questionnaire on a sample of 261 participants. Analyses indicate that (1) guilt has a stronger effect on the level of compensation than shame; (2) psychological proximity influences the level of guilt, shame, and compensation; and (3) shame interacts with psychological proximity to predict compensation, whereas guilt mediates the relationship between psychological proximity and compensation.     

Contagion of network products in small-world networks

We formulate a model in which agents embedded in an exogenous social network decide whether to adopt a new network product or not. In the theoretical part of the paper, we characterize the stochastically stable equilibria for complete networks and cycles. For an arbitrary network structure, we develop a novel graph decomposition method to characterize the set of recurrent communication states, which is a superset of stochastically stable equilibria of the adoption game presented in our model. In the simulation part, we study the contagion process of a network product in small-world networks that systematically represent social networks. We simulate a generalization of the Morris (Rev Econ Stud 67(1):57–78, 2000) Contagion model that can explain the chasm between early adopters and early majority. Our numerical analysis shows that the failure of a new network product is less likely in a highly cliquish network. In addition, the contagion process reaches to steady state faster in random networks than in highly cliquish networks. It turns out that marketers should work with mixed marketing strategies, which will result in a full contagion of a network product and faster contagion rates with a higher probability.

     

Business Cycle Synchronization of Turkey with the Eurozone and the United States: What Has Changed Since 2001?

Using wavelet methodology, we make a detailed spectral analysis of the business cycle synchronization of the Turkish economy with the eurozone and the United States. We take into account the dramatic change in the main economic indicators in the Turkish economy after the 2001 financial crisis. We find that the correlation of Turkish cycles with the cycles of the eurozone and the United States increased substantially after 2001. Moreover, the correlation of the Turkish cycles with the U.S. cycles is not lower than that with the euro cycles after 2001. Accordingly, analyzing the effect of international developments should not be confined to the trade channel. We submit that capital flows offer a reasonable explanation for the high correlation with the United States.     

The impacts of student and life satisfaction on tourism students’ perceived sense of belonging

This study explores how tourism students’ satisfaction with their lives and academics affect their sense of belonging within their school communities. The primary supporting research was conducted using a questionnaire, which 285 students in Akdeniz University’s Faculty of Tourism answered. The mean scores of the two scales (life satisfaction and sense of belonging) and the dimensions of student satisfaction were used to conduct multiple regression analysis. The results suggest that two aspects of student life (teaching staff and school management vs. student support and counseling) and life satisfaction had a direct correlation with students’ sense of belonging.