Informal sanctions and conditional cooperation: : A natural experiment on voluntary contributions to a public good.

In a natural experiment, this paper studies the impact of an informal sanctioning mechanism on individuals’ voluntary contribution to a public good. Cross-country skiers’ actual cash contributions in two ski resorts, one with and one without an informal sanctioning system, are used. I find the contributing share to be higher in the informal sanctioning system (79 percent) than in the non-sanctioning system (36 percent). Previous studies in one-shot public good situations have found an increasing conditional contribution (CC) function, i.e. the relationship between expected average contributions of other group members and the individual’s own contribution. In contrast, the present results suggest that the CC-function in the non-sanctioning system is non-increasing at high perceived levels of others’ contribution. This relationship deserves further testing in lab.

The impact of price changes on volume sales of alcoholic beverages in Sweden, 2006-2013

We evaluate whether price elasticities on registered alcohol have changed in the last ten years in Sweden, in particular with regard to the investigation by Asplund et al (2007). We also investigate the fiscal effects of such changes. According to our estimates, price elasticities have increased, and these increases may have substantial effects on estimated changes in tax revenues when commodity tax rates are changed. In particular, commodity tax rates on spirits may have reached “Laffer territory” where tax increases may actually lower tax revenues.

Fitting conditional and simultaneous autoregressive spatial models in hglm

We present a new version (> 2.0) of the hglm package for fitting hierarchical generalized linear models (HGLMs) with spatially correlated random effects. CAR() and SAR() families for conditional and simultaneous autoregressive random effects were implemented. Eigen decomposition of the matrix describing the spatial structure (e.g., the neighborhood matrix) was used to transform the CAR/SAR random effects into an independent, but eteroscedastic, Gaussian random effect. A linear predictor is fitted for the random effect variance to estimate the parameters in the CAR and SAR models. This gives a computationally efficient algorithm for moderately sized problems.

Standardisation of the Selling Process in Franchising : A Take on Sales Funnel Management

This paper addresses the two opposing extremes of standardisation in franchising and the dynamics of sales in search of a juncture point in order to reduce franchisees’ uncertainties in sales and improve sales performance. A conceptual framework is developed based on both theory and practice in order to investigate the sales process of a specific franchise network. The research is conducted over a period of six weeks in form of a customised sales report considering the sales funnel concept and performance indicators along the sales process. The received quantitative data is analysed through descriptive statistics and logistic regressions in respect to what variations in the sales process can be discovered and what practices yield higher performance. The results indicate an advantage of a prioritisation guideline regarding the activities and choices to make as a salesperson over strict standardisation. Defining the sales funnel plus engaging in the process of monitoring sales in itself has proven to be a way of reducing uncertainty as the franchisor and franchisees alike inherently gain a greater understanding of the process. The extended knowledge gained from this research allowed for both practical as well as theoretical implications and expands the knowledge on standardisation of sales and the appropriateness of the sales funnel and its management for dealing with the dilemma between standardisation and flexibility of sales in franchising contexts.