Online Repurchasing: The Role of Information Disclosure,Hope, and Goal Attainment

The emergence of online purchasing has changed the relationship between consumers and brands. Our research focuses on online information disclosure and consumer hope in an online shopping environment. Two studies are undertaken to test the theoretically derived hypotheses. Study 1 evaluates the causal relationship between information disclosure and hope via an experiment in an online shopping context. Study 2 involves an online survey to test the nomological network presented in this research. The models identify the moderating effect of consumer product knowledge on online information disclosure and consumer hope. For academics, this research advances knowledge of how consumers' confidence in sharing personal information develops hope, consequently enabling them to attain their goals and repeat their purchases. For practitioners, it offers a better understanding of how investments are successful in aiding consumers to attain their goals and generate repeat purchase intentions in an online shopping environment.     

Remittances,Dutch Disease,and Manufacturing Growth in Developing Economies

Remittances have grown tremendously in magnitude and economic importance in the past four decades, providing economies with additional disposable incomes and even serving as buffers against economic downturns. It is thus but fitting to ask how remittances have impacted on growth, particularly on manufacturing growth. This note presents a simple model linking remittances and manufacturing growth via a ‘Dutch Disease’ channel. Using Blundell and Bond's (1998) system general method of moments on a panel dataset of 56 developing economies from 1992 to 2016, we verify that remittances adversely affect manufacturing growth in economies that experience high real appreciation rates. This result is robust to alternate specifications, such as the inclusion of financial development indicators, the expansion of the sample to include high‐income economies, and the use of different sample periods.     

Unequal opportunities and public policy: The impact of parental disability benefits on child postsecondary attendance

This paper uses Canada's National Longitudinal Survey of Children and Youth to examine whether greater cash transfers available to parents with disabilities when their child was aged 5 to 15 increase the chances that the child will attend postsecondary education (PSE) as a young adult. We exploit differences across provinces and over time in the generosity of provincial disability benefits programs in Canada and find that higher disability benefits when the child was aged 5 to 15 years increase the probability that he or she will have attended or be attending PSE by age 19 to 25. The estimated effect size increases with the severity of the parental disability and the number of disabled parents. Because lower disability benefits significantly worsen performance of public school aged children on standardized math tests and elevate anxiety symptoms, one plausible pathway from disability benefit levels to PSE attendance may be through the cognitive and non‐cognitive skills children acquire by the age of 15. We conclude that the level of disability transfers available early in a child's life mitigates the impact of having a parent with a disability as a source of inequality of opportunity and of unequal probability of PSE participation.     

Sentiment and stock returns: The SAD anomaly revisited

Widely-cited research by Kamstra et al. (2003) argues that changes in mood resulting from Seasonal Affective Disorder (SAD) drive changes in investor risk aversion and cause seasonal patterns in aggregate stock returns around the world. In this paper we reexamine the so-called SAD effect by replicating and extending Kamstra et al. (2003). We study the psychological underpinnings of the SAD hypothesis and show that the time-series predictions of the SAD model do not correspond to the seasonal patterns in depression found in the general population. We also investigate the cross-sectional prediction that SAD has a greater effect on stock markets in countries where SAD is more prevalent and find no relation between the prevalence of SAD and stock returns. Finally, we document that the SAD effect is mechanically driven by an overlapping dummy-variable specification and higher returns around the turn of the year.     

Timing the investment grade securities market: Evidence from high quality bond funds

We examine the ability of bond fund managers to shift assets between bonds and cash and across bonds of different maturities in order to capture the changes in their relative returns. As measured by estimated changes in portfolio allocations, we find strong evidence of perverse market timing ability between cash and investment grade securities, and our results indicate additional perverse timing across the bond maturity spectrum. Results are robust to an alternative performance metric. We present evidence that the survival of the majority of these funds despite their negative performance may reflect the value investors place on the portfolio diversification benefits of holding these funds.     

Simulated Attention-Tracking Methodologies: An Examination of Measurement Efficacy

This study introduces and examines a simulated attention-tracking methodology as an emerging technique to improve the study of in-store shopper behavior and decision making. To assess the viability of this new methodology, we examine its efficacy in producing consumer behavior data consistent with results predicted by the marketing literature. Empirical data across five grocery categories are used to examine the influence of personal, product, and situational differences on external information search. Findings show that the attention-tracking methodology is able to demonstrate expected results in almost all cases. The methodology is also able to provide a more complete view of external information search through tracing the observed search behavior preceding decision making. This proof of methodology responds directly to calls in the marketing and retailing literature to test new and emerging methodologies in support of research on in-store marketing and shopper behavior. Findings also provide managers with a methodology to examine the actual impact of marketing actions intended to capture shoppers’ attention at the retail shelf and to influence behavior.     

Temporal variance of revealed preference on-street parking price elasticity

This paper utilises revealed-preference parking trend data from parking meters ex ante and ex post of a general 50% price increase in the hourly cost of on-street parking to estimate the on-street parking price elasticity of demand in an area of Dublin, Ireland. Estimates are presented for the aggregate price elasticity of demand level and individual estimates for specific time periods and days of the week. In terms of reduced parking frequency, the average price elasticity of demand reported is −0.29. Daily average estimates are consistent, with one notable exception being Thursday, a ‘late night shopping’ day for which a lower price sensitivity is reported. Morning periods are also shown to be more responsive than other time periods in the test area, indicating some potential for influencing morning inbound peak traffic levels.     

Profiling road transport activity: Emissions from 2000 to 2005 in Ireland using national car test data

This work describes a methodology for determining the average vehicle kilometres travelled by the private national car fleet in Ireland and estimating the disaggregated CO₂ and NO_x emissions from private vehicles in the Irish road transport sector for the period 2000–2005 using national car test records. The developed methodology facilitates the calculation of greatly improved estimates for vehicle kilometres under a range of constraint variables and thereby enables the disaggregated analysis of specific vehicle fleet groups and their associated activity patterns to support evidence-based policy development. The results indicate that while older vehicles are contributing significantly to car NO_x emissions; newer cars produce a higher share of CO₂ emissions than older cars in the vehicle fleet.     

School Kids and Oil Rigs: Two More Pieces of the Post‐Katrina Puzzle in New Orleans

Shortly after Hurricane Katrina's landfall in August 2005 and the reports of rampant looting of businesses in the city, we became curious about the extent of Katrina looting as compared to that after other major storms that hit New Orleans in 1947 and in 1965. Using burglary as a proxy variable for looting, we discovered that the burglary rates in the month before and the month after Katrina were significantly higher than those before and after the other two hurricanes. We then investigated the socioeconomic conditions in the city in an effort to explain these numbers. Population loss and high unemployment rates, coupled with a decline in high‐paying manufacturing jobs and an increase in low‐wage food and hotel service jobs generated severe economic inequality in the city that exacerbated the situation created by Katrina. Our current analysis of the impact of public school desegregation and the oil bust suggests that both events contributed to population loss and the increase in low‐wage jobs prior to the storm. We believe that this type of research can assist in the recovery of New Orleans by providing an understanding of the city's pre‐Katrina social and economic conditions and make clearer which post‐Katrina changes are desirable.     

Demystifying the Meese–Rogoff puzzle: structural breaks or measures of forecasting accuracy?

Structural breaks have been suggested by several economists as a possible explanation for the Meese–Rogoff puzzle, in the sense that an exchange rate model can outperform the random walk in terms of the out-of-sample forecasting error if the period under investigation is free of structural breaks. The results indicate that structural breaks cannot explain the inability of the flexible price monetary model to outperform the random walk. The only plausible explanation for the Meese–Rogoff puzzle is that forecasting accuracy is traditionally assessed by magnitude-only measures. When forecasting accuracy is assessed by alternative measures that do not rely exclusively on the magnitude of error, the monetary model can outperform the random walk regardless of the presence or otherwise of structural breaks.