VOTING AND SOCIAL PRESSURE UNDER IMPERFECT INFORMATION

We develop a model in which costly voting in a large, two‐party election is a sequentially rational choice of strategic, self‐interested players who can reward fellow voters by forming stronger ties in a network formation coordination game. The predictions match a variety of stylized facts, including explaining why an individual's voting behavior may depend on what she knows about her friends' actions. Players have imperfect information about others' voting behavior, and we find that some degree of privacy may be necessary for voting in equilibrium, enabling hypocritical but useful social pressure. Our framework applies to any costly prosocial behavior.     

REPORTING GUIDELINES FOR META-ANALYSIS IN ECONOMICS

Meta-analysis has become the conventional approach to synthesizing the results of empirical economics research. To further improve the transparency and replicability of the reported results and to raise the quality of meta-analyses, the Meta-Analysis of Economics Research Network has updated the reporting guidelines that were published by this Journal in 2013. Future meta-analyses in economics will be expected to follow these updated guidelines or give valid reasons why a meta-analysis should deviate from them.     

Financial Market Data Versus Accounting Data: Which Better Explains Stock Returns?

This paper presents the comparison of how financial market and accounting data affect stock prices and returns. The goal was to ascertain whether financial information or accounting data dominate in evaluating stock prices. Most valuation techniques used by firms are based on models using either accounting variables (earnings, book value, cash flows, research and development expenses) or financial market data (e.g. beta, market value, interest). The answer is of great importance for valuators and investors as it will help them focus on the most important variables and make better valuations and choices. This answer is also important for accounting standard setters as the preferred method will serve as an indicator for the quality of financial statements and their importance to users. The paper contributes to the existing literature in the fields of value relevance of accounting information and firm valuation and accounting standards (e.g. International Financial Reporting Standards, United States General Accepted Accounting Principles). To answer this question, share prices were estimated based on financial data using the capital asset pricing model and for accounting data, using Ohlson’s model. The results were tested for both methodologies by comparing estimated share prices with actual ones. The greater the correlation between the two variables the better the explanatory power of the model. The focus was on S&P 500 firms for the period 2002–2017.

     

Modeling the time varying volatility of housing returns: Further evidence from the U.S. metropolitan condominium markets

This study extends the literature on modeling the volatility of housing returns to the case of condominium returns for five major U.S. metropolitan areas (Boston, Chicago, Los Angeles, New York, and San Francisco). Through the estimation of ARMA models for the respective condominium returns, we find volatility clustering of the residuals. The results from an ARMA‐TGARCH‐M model reveal the absence of asymmetry in the conditional variance. Dummy variables associated with the housing market collapse unique to each metropolitan area were statistically insignificant in the conditional variance equation, but negative and statistically significant in the mean equation. Condominium markets in Los Angeles and San Francisco exhibit the greatest persistence to volatility shocks.     

Enhancing Governmentally Sponsored Export Promotions Through Better Segmentation of the Market of a State's Manufacturing Concerns

This article presents methodology for identifying product categories that, if they were made the subjects of a specified state's export promotions, would hold promise for satisfying relevant needs of members of three key “stakeholder” groups regarding the outcomes of the governmentally sponsored export promotions: the World Trade Organization (WTO), managements of non-exporting, small- and- medium-sized (SME) manufacturing concerns, and governmental entities who are responsible for raising funds to support such promotions. Methodology is applied in the context of a state in the United States (North Carolina).

The methodology is then applied in the context of a state in the United States (North Carolina). The presentations of the results of the application of the methodology at each of the 2-, 4- and 6-digit HS-coded product category levels are in each case followed by discussions of implications of the results.     

A Walk in Customers' Shoes: How Attentional Bias Modification Affects Ownership of Integrity-violating Social Media Posts

The number of social media posts that expose company integrity violations has increased dramatically. In response, some companies empower employees to respond to customer blogs, which requires employees to recognize the customer's perspective. We show that attentional bias modification can be used to prime employees of two global Fortune 100 companies with a self-sufficiency or empathy bias. The results indicate that narrative transportation, or the extent to which employees mentally enter the world evoked by a customer's story, mediates the effect of attentional bias on two relevant psychological ownership dimensions: acknowledgment of responsibility and willingness to respond. Participants with a self-sufficiency bias neither acknowledge responsibility nor want to respond. However, participants primed with an empathy bias take responsibility for the customer's case and respond to the integrity violation. We find evidence for two boundary conditions of this effect: (1) it strengthens when the employee perceives the customer's financial vulnerability as high and (2) it weakens when the customer is impolite in the blog post.