The impact of CSR performance and CSR disclosure readability on investors’ earnings estimates

We investigate how the valence of corporate social responsibility (CSR) performance and the readability of CSR disclosure impact investors’ earnings estimates. Ninety-seven part-time MBA students participate in an experiment, in which we manipulate the valence of CSR performance (positive versus neutral) and the readability of CSR reports (high versus low), while holding financial information constant. Our findings reveal that investors make more positive earnings estimates when CSR performance is positive. The readability level of CSR reports also influences investors’ decision-making process. Moreover, by using an eye-tracking device, we are able to observe investors’ different reading behaviours upon the different levels of readability.     

INEQUALITY AND PANEL INCOME CHANGES: CONDITIONS FOR POSSIBILITIES AND IMPOSSIBILITIES

Income changes in an economy are usually assessed through the changes over time in cross-sectional variables such as economy-wide inequality. An alternative is to use panel data to gauge income changes among identified income recipients. In this article, we analyze these two approaches taken together, each measured in multiple ways. We establish that under specific conditions, it is impossible to have falling inequality together with divergent panel income changes. We also provide conditions explaining when rising inequality can arise together with convergent panel changes. We provide the intuition behind these results and show when such results fail to hold.     

School quality as a catalyst for bidding wars and new housing development

We provide new evidence of the demand for better schools as manifested in bidding wars and changes to the built environment. Using repeat sales before and after a redistricting, we exploit shocks to school quality arising from the continuous, unexpected redistricting of school attendance boundaries in Atlanta. We find that houses redistricted to higher (lower) quality schools are more (less) likely to be involved in a market-driven bidding war. Similarly, undeveloped, redistricted parcels that receive a positive (negative) school quality shock are more (less) likely to be developed. School quality shocks also have a causal effect on house prices and time-on-market.     

Experienced versus decision utility: large-scale comparison for income–leisure preferences*

Subjective well-being (SWB) data are increasingly used to perform welfare analysis. Interpreted as “experienced utility”, it has recently been compared to “decision utility” using small-scale experiments most often based on stated preferences. We transpose this comparison to the framework of non-experimental and large-scale data commonly used for policy analysis, focusing on the income–leisure domain where redistributive policies operate. Using the British Household Panel Survey, we suggest a “deviation” measure, which is simply the difference between actual working hours and SWB-maximizing hours. We show that about three-quarters of individuals make decisions that are not inconsistent with maximizing their SWB. We discuss the potential channels that explain the lack of optimization when deviations are significantly large. We find proxies for a number of individual and external constraints, and show that constraints alone can explain more than half of the deviations. In our context, deviations partly reflect the inability of the revealed preference approach to account for labor market rigidities, so the actual and SWB-maximizing hours should be used in a complementary manner. The suggested approach based on our deviation metric could help identify labor market frictions.     

Difference‐in‐differences when the treatment status is observed in only one period

This paper considers the difference‐in‐differences (DID) method when the data come from repeated cross‐sections and the treatment status is observed either before or after the implementation of a program. We propose a new method that point‐identifies the average treatment effect on the treated (ATT) via a DID method when there is at least one proxy variable for the latent treatment. Key assumptions are the stationarity of the propensity score conditional on the proxy and an exclusion restriction that the proxy must satisfy with respect to the change in average outcomes over time conditional on the true treatment status. We propose a generalized method of moments estimator for the ATT and we show that the associated overidentification test can be used to test our key assumptions. The method is used to evaluate JUNTOS, a Peruvian conditional cash transfer program. We find that the program significantly increased the demand for health inputs among children and women of reproductive age.     

City of Discontent? The Influence of Perceived Organizational Culture,LMX, and Newcomer Status on Reported Bullying in a Municipal Workplace

Workplace bullying is a counterproductive behavior that has captured the attention of researchers in recent years. The extent of reported bullying behavior in US organizations varies however; it is estimated to affect 15% to 50% of workers with projected annual costs of over $40 billion including direct and indirect costs. Workplace bullying poses a serious ethical challenge by sending messages about appropriate conduct within the organization’s culture. In this study, we focus on environmental factors as predictors of self-reported bullying in a public-sector organization. Specifically, the factors of interest are organizational culture, commitment to change, and leader-member exchange (LMX). We also investigate newcomer status and its relationship to reported bullying. Findings demonstrated perceived stability in the organization and higher levels of LMX showed lower levels of workplace bullying. Further, an organizational culture that emphasizes rewards lead to higher levels of bullying and newcomers are subjected to more bullying than longer service workers.