Sensitive Survey Questions: Measuring Attitudes Regarding Female Genital Cutting Through a List Experiment

Potential bias in survey responses is higher if sensitive outcomes are measured. This study analyses attitudes towards female genital cutting (FGC) in Ethiopia. A list experiment is designed to elicit truthful answers about FGC support and compares these outcomes with the answers given to a direct question. Our results confirm that the average bias is substantial as answers to direct questions underestimate the FGC support by about 10 percentage points. Moreover, our results provide suggestive but not statistically significant evidence that this bias is more pronounced among uneducated women and women targeted by an NGO intervention (not randomly assigned).     

The multiple filter test for change point detection in time series

A framework for the detection of change points in the expectation in sequences of random variables is presented. Specifically, we investigate time series with general distributional assumptions that may show an unknown number of change points in the expectation occurring on multiple time scales and that may also contain change points in other parameters. To that end we propose a multiple filter test (MFT) that tests the null hypothesis of constant expectation and, in case of rejection of the null hypothesis, an algorithm that estimates the change points.The MFT has three important benefits. First, it allows for general distributional assumptions in the underlying model, assuming piecewise sequences of i.i.d. random variables, where also relaxations with regard to identical distribution or independence are possible. Second, it uses a MOSUM type statistic and an asymptotic setting in which the MOSUM process converges weakly to a functional of a Brownian motion which is then used to simulate the rejection threshold of the statistical test. This approach enables a simultaneous application of multiple MOSUM processes which improves the detection of change points that occur on different time scales. Third, we also show that the method is practically robust against changes in other distributional parameters such as the variance or higher order moments which might occur with or even without a change in expectation. A function implementing the described test and change point estimation is available in the R package MFT.     

How to approach business model innovation: the role of opportunities in times of (no) exogenous change

Firms need to show dynamic adaptability and innovate their business models to achieve survival and growth, in particular when they are exposed to high levels of exogenous change. However, business model innovation also takes place in the absence of exogenous change. We know relatively little about firms’ approaches to opportunities for business model innovation in both of these environmental settings. The objective of this study is to understand how firms exposed to various environmental conditions explore and exploit business model innovation opportunities. In a qualitative multiple case analysis, the study compares the approaches to business model innovation used by four firms exposed to high levels of exogenous change with those of four firms operating in the absence of exogenous change. The findings are contrasted with entrepreneurial opportunity discovery and creation theories. The results reveal that firms exposed to high levels of exogenous change focus on discovering objective opportunities, whereas firms operating in the absence of exogenous change concentrate on creating opportunities for business model innovation. However, this study revealed that when the firms further explore and exploit these opportunities, they tend to combine the behaviours that the two opportunity perspectives suggest. This study contributes to the literature on business model innovation by emphasising the relationship between environmental context and approach to business model innovation and by reinforcing the link with entrepreneurship theory.     

The effect of entrepreneurship education in schools on entrepreneurial outcomes: a systematic review

Management Review Quarterly - This study systematically reviewed 21 quantitative and qualitative articles on the effect of entrepreneurship education in schools. We reviewed short-term effects,...     

Me or information technology? Adoption of artificial intelligence in the delegation of personal strategic decisions

Artificial intelligence is revolutionizing the way we do business. Whereas both the adoption of technological innovations and strategic decision making have been subject to prior research, this experimental study is first to combine both. To understand the impact of choice complexity and cognitive perceptions on the willingness to delegate a strategic decision to an algorithm, we conducted an experiment with 310 participants. We find that although choice complexity has no effect, participants with low levels of situational awareness are more likely to delegate. The findings augment research on choice complexity in decision making by emphasizing the relevance of cognitive perceptions.     

Bidding for Firms with Unknown Characteristics

When a region successfully attracts a firm by offering subsidies, the firm often commits itself to performance targets in terms of employment. In this paper, we interpret these firm‐specific targets as a consequence of incomplete information. We analyze a model of two regions that compete for a firm, assuming that the firm's productivity is ex ante unknown. We show that performance targets often induce overemployment in high‐productivity firms, and that tax credits are often superior to lump‐sum payments. Moreover, when regions differ in wage rates, the low‐wage region wins the bid and has a higher surplus than under complete information. Finally, we show that, under incomplete information, bidding might not lead to efficient firm location.     

Minimum return guarantees,investment caps,and investment flexibility

We study the merits of capped retirement products with guarantee for investors who have the flexibility to dynamically adjust their investment strategy. All contracts under consideration are fairly priced such that the net profit of the provider is zero. Without the rider, an expected utility maximizing CRRA investor does not want an investment cap. Here, she commits herself to a strategy a priori. With the flexibility rider, the optimization problem changes and the optimal strategy is a response to an exogenously set price. A fair pricing then anticipates the optimal response of the investor. We show that the maximum expected utility of the investor can, for anticipated fairly priced products, be obtained for a finite cap. Thus, a capped product design can give a Pareto improvement to the otherwise uncapped contract version.     

Corporate Taxation of Heterogeneous Firms and the Welfare Effects of Labour Unions

This paper examines the welfare effects of powerful labour unions when the government levies a uniform tax rate – as is currently the case in most OECD countries – and firms are heterogeneous with respect to productivity. I show that an increase in the bargaining power of labour unions can decrease the welfare loss generated by restriction of the tax policy and provide conditions under which powerful labour unions decrease the likelihood that firms will move abroad. I also reproduce the well‐known effect whereby powerful labour unions decrease corporate tax rates if firms are mobile.