Assessing Poverty Trends in Indonesia by International Poverty Lines

Indonesia has made well-documented and drastic progress in raising average incomes and reducing poverty. This article adds to the literature by providing a complementary perspective of poverty between 1984 and 2011. We discuss the evolution of poverty in Indonesia using international poverty lines—$1.25 per person per day (in 2005 purchasing power parity dollars) and $2.00 per day, and we add $10.00 per day. We generate estimates of poverty since 1984 and make projections based on various trends in growth and inequality. We find that Indonesia has the potential to become a high-income country by around 2025 and end $1.25-per-day and $2.00-perday poverty by 2030, but this will require strong economic growth and favourable changes in distribution. Looking ahead, the end of poverty in Indonesia may mean that a large proportion of the population will remain vulnerable to poverty for some time to come, suggesting that public policy priorities will need to balance insurance and risk-management mechanisms with more ‘traditional’ poverty policy.     

Twenty Years of Expenditure Inequality in Indonesia, 1993–2013

In this article, we consider the recent increase in inequality in Indonesia. We make new, consistent estimates of expenditure inequality for 1993–2013, using several measures that draw on household expenditure data from the National Socioeconomic Survey (Susenas) for 1993–2013. In doing so, we note that the central statistics agency, Badan Pusat Statistik (BPS), used grouped data for its estimates of inequality until 2009 and that this underestimated inequality up to then. Thus the rise in inequality reported since 2009 actually has a longer history. We argue that Indonesia experienced divergence and convergence at the same time: the magnitude of the rise in inequality was significant (divergence), but the rise was greatest in provinces or districts with low initial levels of inequality (convergence). We consider the literature on drivers of changes in inequality and identify a set of hypotheses, with an empirical basis, which we introduce as potential Indonesian-specific drivers of rising inequality for future exploration.     

On Moral Business: Classical and Contemporary Resources for Ethics in Economic Life. Max L. Stackhouse,Dennis P. McCann,Shirley Roels and Preston N. Williams

Teaching Business Ethics -     

Helpful Reviewers in TripAdvisor,an Online Travel Community

Online communities need a critical mass for communication, information, and entertainment and should provide useful information for their members in order to obtain this critical mass. The abundance of online travel reviews increases cognitive costs of travelers, and travelers use extrinsic cues to judge the quality of online reviews to eliminate costs associated with the information process. Of various cues used in online environments, this study examined an online reputation system in TripAdvisor.com and profiled the reviewers who post helpful reviews in the online travel community. The key findings include that helpful reviewers are those who travel more, actively post reviews, belong to any age and gender groups, and give lower hotel ratings. This study adds to research of online travel reviewers by characterizing helpful information creators among online content creators.     

Financial clusters,industry groups,and stock return correlations

Industry classifications are used by investors, economists, and policy makers for a great variety of purposes. The traditional economic‐activity‐based systems (Global Industry Classification Standard, North American Industry Classification System, Standard Industrial Classification, and Fama–French) have been supplemented in recent years by alternative classification systems. Our purpose is to provide another alternative system that forms classification groups based on the structure of firm financial statements. Using cluster analysis, a multivariate tool that forms groups where their characteristics are similar within groups and distinct across groups, we form clusters of large U.S. firms based on their common‐size financial statements (percentage breakdowns of balance sheets and income statements). We characterize the financial clusters based on their industry classifications and other economic information and assess the ability of financial clusters and industry groups, separately and jointly, to explain stock return correlations of all pairs of firms. Our results demonstrate that using financial clusters and industry groups together proves advantageous relative to using either alone.     

Option trading after the opening bell and intraday stock return predictability

Prior literature finds that information is reflected in option markets before stock markets, but no study has explored whether option volume soon after market open has predictive power for intraday stock returns. Using novel intraday signed option-to-stock volume data, we find that a composite option trading score (OTS) in the first 30 min of market open predicts stock returns during the rest of the trading day. Such return predictability is greater for smaller stocks, stocks with higher idiosyncratic volatility, and stocks with higher bid–ask spreads relative to their options’ bid–ask spreads. Moreover, OTS is a significantly stronger predictor of intraday stock returns after overnight earnings announcements. The evidence suggests that option trading in the 30 min after the opening bell has predictive power for intraday stock returns.