Reworking wild bootstrap-based inference for clustered errors

Cluster-robust inference is increasingly common in empirical research. With few clusters, inference is often conducted using the wild cluster bootstrap. With conventional bootstrap weights the set of valid $P$-values can create ambiguities in inference. I consider several modifications to the bootstrap procedure to resolve these ambiguities. Monte Carlo simulations provide evidence that both a new 6-point bootstrap weight distribution and a kernel density estimation approach improve the reliability of inference. A brief empirical example highlights the implications of these findings.     

Love is in the air. Consumers' perception of products from firms signaling their family nature

Signaling consumers that the company behind a brand is run by a family is increasingly observable in the marketing realm. One possible reason could be the emotional value signaled by the family nature of the firm. Brand signals carrying emotional value might contribute to a competitive advantage. Since we do not fully understand the effect of signaling the family nature of a firm yet and as family represents an emotional context, we examine this effect on consumer perceptions of the products being made with more love by conducting two experimental studies. In Study 1 (N = 371) we find that the firm's family nature triggers a strong perception of love being part of the production process of the brand, which leads to a higher willingness to pay. Specifically, in Study 2 (N = 280) we designed a process manipulation study to provide causative experimental explanation of the process of Study I. Thereby, we contribute to psychology and marketing research by showing that consumers consider a product signaling the family nature of a firm more strongly to be made with love and are willing to pay a price premium. This effect is driven by positive feelings related to one's own family.     

Lapses in long-term care insurance

About a quarter of long-term care insurance (LTCI) policy holders aged 65 let their policies lapse before death, forfeiting all benefits. We find that lapse rates are substantially higher among the cognitively impaired in the Health and Retirement Study. This generates a pernicious form of dynamic advantageous selection, as the cognitively impaired are more likely to use care. Simulations show that an inappropriately optimistic asset drawdown path further increases the individual welfare cost of unanticipated lapses. Meanwhile, we find evidence of a significant but very small role for either strategic or financial motives for lapsing.