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In this chapter, we explicate two related techniques that help quantify the sensitivity of a given causal inference to potential omitted variables and/or other sources of unexplained heterogeneity. In particular, we describe the Impact Threshold of a Confounding Variable (ITCV) and the Robustness of Inference to Replacement (RIR). The ITCV describes the minimum correlation necessary between an omitted variable and the focal parameters of a study to have created a spurious or invalid statistical inference. The RIR is a technique that quantifies the percentage of observations with nonzero effects in a sample that would need to be replaced with zero effects in order to overturn a given causal inference at any desired threshold. The RIR also measures the percentage of a given parameter estimate that would need to be biased in order to overturn an inference. Each of these procedures is critical to help establish causal inference, perhaps especially for research urgently studying the COVID-19 pandemic when scholars are not afforded the luxury of extended time periods to determine precise magnitudes of relationships between variables. Over the course of this chapter, we define each technique, illustrate how they are applied in the context of seminal strategic management research, offer guidelines for interpreting corresponding results, and delineate further considerations.

Self-regulatory organizations (SROs) can be found in education, healthcare, and other not-for-profit sectors as well as in the accounting, financial, and legal professions. DeMarzo et al. (2005) show theoretically that SROs can create monopoly market power for their affiliated agents, but that governmental oversight, even if less efficient than oversight by the SRO, can largely offset such market power. We provide an experimental test of this conjecture. For carefully rationalized parameterizations and implementation details, we find that the predictions of DeMarzo et al. (2005) are borne out.

Firms are increasingly organizing cross-regional R&D collaborations among different units. Such collaborations should promote knowledge flows across distance and bring new knowledge to the local communities. However, the nature of cross-regional collaborations varies widely depending on the organizations within which they are organized. Compared with collaborations within small firms, collaborations in large firms tend to be routinized, which reduces the need for interpersonal interactions and increases the dependence on organizational structure. As a result, additional spillover from cross-regional collaboration is likely to be lower if the collaboration is within large firms. We extend this argument to the regional level and hypothesize that regions with a higher level of cross-regional collaborations tend to generate more valuable technologies, but when large firms dominate the formation of such collaborations, the marginal benefits of cross-regional collaboration are significantly reduced. Using a data set from the pharmaceutical industry between 1975 and 2001, we find support for our hypotheses. We conduct a series of robustness tests to check the consistency of our results.

This essay is a review of the recent literature on the methodology of economics, with a focus on three broad trends that have defined the core lines of research within the discipline during the last two decades. These trends are: (a) the philosophical analysis of economic modelling and economic explanation; (b) the epistemology of causal inference, evidence diversity and evidence-based policy and (c) the investigation of the methodological underpinnings and public policy implications of behavioural economics. The final output is inevitably not exhaustive, yet it aims at offering a fair taste of some of the most representative questions in the field on which many philosophers, methodologists and social scientists have recently been placing a great deal of intellectual effort. The topics and references compiled in this review should serve at least as safe introductions to some of the central research questions in the philosophy and methodology of economics.

In this chapter, the authors conduct a robustness study for the classic experimental results of Lynch, Miller, Plott, and Porter (1986, 1991). The authors find strong support for the original hypotheses in an updated experimental marketplace, consisting of dichotomous product qualities, non-binding signals of product quality, fixed seller identifiers, and an end-point design of deliberate ambiguity. The authors show that fixed identifiers alone are not sufficient devices to support efficient outcomes in these updated market conditions.

This paper evaluates consumption-based poverty in the United States using Consumer Expenditure Survey data. The poverty measures rest upon micro-theoretic foundations of utility maximizing behavior and a complete demand system. The Translog model (Christensen et al., 1975) is used to replicate and extend Slesnick’s (1993) measures of poverty into the late 1990s. Consumption-based poverty analysis is extended by computing Sen (1976) indexes, which provide more complete measures of poverty than simple headcount ratios. The robustness of Slesnick’s results is tested under alternative assumptions concerning shares of services between housing and other durables across time.

The intention of this article is to show possible contributions of the concept of autonomous cooperation to enable complex adaptive logistics systems (CALS) to cope with increasing complexity and dynamics and therefore to increase the systems' information-processing capacity by implementing autopoietic characteristics. In order to reach this target, the concepts of CALS and autopoietic systems will be introduced and connected. The underlying aim is to use the concept of self-organization as one of their essential similarities to lead over to the concept of autonomous cooperation as the most narrow view on self-organizing systems, which is discussed as a possible approach to enable systems to handle an increasing quantity of information. This will be analyzed from both a theoretical and an empirical point of view.

Contrary to the implications of economic theory, consumption inequality in the United States did not react to the increases in income inequality during the last three decades. This paper investigates if a change in the type of income inequality – from permanent to transitory – or a change in the ability to insure income shocks is responsible for this. A measure of household consumption is imputed into the Panel Study of Income Dynamics to create panel data on income and consumption for the period 1980–2010. The minimum distance investigation of covariance relationships shows that both explanations work together: the share of transitory shocks increases over time, but the capability to insure against permanent and transitory income shocks also improves. Together, these phenomena can explain the lack of an increase in consumption inequality.