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There are several ways to define words. One is to ascertain the formal definition by looking it up in the dictionary. Another is to identify what it is that you want the word-label to differentiate.

This chapter examines the external validity of lab experiments on corruption by evaluating the extent to which experimental results are robust to the degree of field context included in the experimental design. To do so, we follow Harrison and List (2004) and partition corruption experiments into four classes depending on their field context. A comparison of the results obtained within each class reveals that similar treatment effects tend to emerge. Although a definitive answer to the external validity question has yet to be provided, these preliminary results provide some support to the external validity of lab experiments on corruption.

If we are to examine the role of “controls” in different experimental settings, it is appropriate that the word be defined carefully. The Oxford English Dictionary (Second Edition) defines the verb “control” in the following manner: “To exercise restraint or direction upon the free action of; to hold sway over, exercise power or authority over; to dominate, command.” So the word means something more active and interventionist than is suggested by it’s colloquial clinical usage. Control can include such mundane things as ensuring sterile equipment in a chemistry lab, to restrain the free flow of germs and unwanted particles that might contaminate some test.

We design experiments to jointly elicit risk and time preferences for the adult Danish population. The experimental procedures build on laboratory experiments that have used traditional subject pools. The field experiments utilize field sampling designs that we developed, and procedures that were chosen to be relatively transparent in the field with non-standard subject pools. Our overall design was also intended to be a general template for such field experiments in other countries. We examine the characterization of risk over a wider domain for each subject than previous experiments, allowing more precise estimates of risk attitudes. We also examine individual discount rates over six time horizons, as the first stage in a panel experiment in which we revisit subjects to test consistency and stability of responses over time. Risk and time preferences are heterogeneous, varying by observable individual characteristics. On a methodological level, we implement a refinement of existing procedures which elicits much more precise estimates, and also mitigates framing effects.

We discuss the following three themes on the use of field experiments to study economic development: (1) We summarize the arguments for and against using experiments to gather behavioral data in the field; (2) We argue and illustrate that field experiments can provide data on behavior that can be used in subsequent analyses of the effect of behavioral social capital on economic outcomes; and (3) We illustrate that field experiments can be used as a development tool on their own to teach communities about incentives and strategic interaction.

We discuss how experimental analysis can be integrated into strategic human resources management (SHRM) research in Africa so as to develop theory and value principles to guide executives.

The model we propose – experiment-based SHRM – is predicated on the use of experimental approaches to demonstrate the value of SHRM and to derive principles that guide research and practice in Africa.

We illustrate how scholars can conduct experiments from an SHRM perspective.

We discuss the strengths and limitations of the model and suggest ways of maximizing its potential.

The technique is a resource for scholars of SHRM in Africa. They can use it to supplement other approaches for studying SHRM.

This chapter discusses a typology of experimental analysis. The lack of such a typology in the context of Africa makes it a valuable contribution. Thus, it fills a contextual gap in the SHRM research methodology literature. It can therefore help graduate students and junior faculty improve their research.

Purpose – In this chapter, we introduce the Internet-based field experiment (IBFE) that offers numerous advantages for bringing stratification processes “back into” the study of religion. We present preliminary results from a study of class and race discrimination using this approach.

Design/Methodology/Approach – Using names of fictitious characters, we sent e-mails to a nationally representative sample of 4,680 U.S. Christian churches asking about possible membership. The e-mails varied only in the perceived race and class of the senders. We utilize a mixed methods approach to analyze variation in the content of the church responses.

Findings – Our early findings suggest significant variation by race/class manipulation, religious denomination, and region of the country in churches’ responses as well as the length of time they took to reply, the length of the response, the warmth, religious tone, and several other dimensions.

Research limitations/Implications – This study raises new opportunities for Internet-based research on religion in a variety of social settings, but there is not yet a well-established set of “do's” and “don’ts” for how to proceed. We advocate the development of a protocol of best practices as this research method develops.

Originality/Value – This study demonstrates the opportunities and pitfalls of the IBFE and the advantages it provides for studies of stratification and religion. Ours is the first study to apply this emerging method to the study of religion and stratification.

The use of behavioral insights and experimental methods has recently gained momentum among health policy-makers. There is a tendency, however, to reduce behavioral insights applications in health to “nudges,” and to reduce experiments in health to “randomized controlled trials” (RCTs). We argue that there is much more to behavioral insights and experimental methods in health economics than just nudges and RCTs. First, there is a broad and rich array of complementary experimental methods spanning the lab to the field, and all of them could prove useful in health economics. Second, there are a host of challenges in health economics, policy, and management where the application of behavioral insights and experimental methods is timely and highly promising. We illustrate this point by describing applications of experimental methods and behavioral insights to one specific topic of fundamental relevance for health research and policy: the experimental elicitation and econometric estimation of risk and time preferences. We start by reviewing the main methods of measuring risk and time preferences in health. We then focus on the “behavioral econometrics” approach to jointly elicit and estimate risk and time preferences, and we illustrate its state-of-the-art applications to health.

In Chapter 2, Ananish Chaudhuri surveys the empirical evidence on the existence of gender differences in individuals’ propensity to engage in corruption. While the chapter begins with a review of the findings generated by cross-country studies, the main focus of the discussion is in the insights provided by laboratory experiments specifically designed to test for gender differentials in corrupt transactions. According to the carefully conducted survey of the literature, the existing experimental evidence suggests that females are either equally or less willing to engage in corruption than males; there is very little evidence that women behave more corruptly than men. The author discusses possible reasons for gender differentials in corrupt behavior, such as risk aversion and preferences for reciprocation. Finally, Chaudhuri emphasizes that gender effects are more likely to be observed in studies conducted in developed countries and calls for further research to be conducted in developing countries, with the aim of shedding light on the relationships between gender differences in corrupt behavior and the cultural background of the experimental participants.

Middle managers’ intrapreneurial actions can be a powerful source of organizational adaptation and strategic renewal. Better understanding what drives such intrapreneurial actions is important, yet requires data, which allows testing directional claims. For example, whereas autonomy and supportive leadership might be antecedents to such intrapreneurial behavior, it equally seems possible that firms delegate more autonomy to individuals behaving entrepreneurially (rather than being “lazy”) or that senior managers are more inclined to show support for individuals engaging in entrepreneurial action. Lagged or longitudinal survey evidence to test whether autonomy and leadership support are antecedents of intrapreneurship or consequences, is – like for many other questions in research on strategic responsiveness – hard and expensive to collect. Vignette experiments (also called factorial surveys or conjoint studies) may be a way out – especially when combined with cross-sectional evidence. The present chapter illustrates this approach by studying the relations among autonomy, supportive leadership, and intrapreneurship by means of a vignette experiment and a cross-sectional field survey. The findings suggest that autonomy and supportive leadership are indeed antecedents to intrapreneurial behavior and illustrate the value of vignette experiments for research on strategic responsiveness.