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We study research designs where a binary treatment changes discontinuously at the border between administrative units such as states, counties, or municipalities, creating a treated and a control area. This type of geographically discontinuous treatment assignment can be analyzed in a standard regression discontinuity (RD) framework if the exact geographic location of each unit in the dataset is known. Such data, however, is often unavailable due to privacy considerations or measurement limitations. In the absence of geo-referenced individual-level data, two scenarios can arise depending on what kind of geographic information is available. If researchers have information about each observation’s location within aggregate but small geographic units, a modified RD framework can be applied, where the running variable is treated as discrete instead of continuous. If researchers lack this type of information and instead only have access to the location of units within coarse aggregate geographic units that are too large to be considered in an RD framework, the available coarse geographic information can be used to create a band or buffer around the border, only including in the analysis observations that fall within this band. We characterize each scenario, and also discuss several methodological challenges that are common to all research designs based on geographically discontinuous treatment assignments. We illustrate these issues with an original geographic application that studies the effect of introducing copayments for the use of the Children’s Health Insurance Program in the United States, focusing on the border between Illinois and Wisconsin.

This chapter analyzes a geographic quasi-experiment embedded in a cluster-randomized experiment in Honduras. In the experiment, average treatment effects of conditional cash transfers on school enrollment and child labor were large – especially in the poorest experimental blocks – and could be generalized to a policy-relevant population given the original sample selection criteria. In contrast, the geographic quasi-experiment yielded point estimates that, for two of three dependent variables, were attenuated. A judicious policy analyst without access to the experimental results might have provided misleading advice based on the magnitude of point estimates. We assessed two main explanations for the difference in point estimates, related to external and internal validity.

The purpose of this paper is to critically assess the theoretical underpinnings and extant progress of the research on regional multi-national enterprises (MNEs) and offer a blueprint for future research by re-conceptualizing how (regional) boundaries relate to the international diversification of MNEs.

The paper integrates key insights from the theory of the regional MNE and economic geography to re-orient the treatment of regional borders within international business (IB) literature.

The paper suggests that the (L) component within the ownership location and internalization (OLI) paradigm should be disaggregated into continuous “distance effects” and discrete “border effects”. Within this rubric, regional borders represent discrete border effects that generate discontinuities that are permeable, fluid and firm specific. Such reconceptualization opens up avenues for future research and more tightly integrates the research on regional MNEs with other research streams.

IB scholars need to make concerted effort to think of regions as one among several parameters in studying the strategy and structure of MNEs. A stronger focus on internal processes and mechanisms elucidating the main drivers of MNEs strategies is needed.

The paper offers innovative ways in which future research can advance the study of how regions matter in the internationalization strategy of MNEs.

Advocates of market-based reforms in the public sector argue that competition between providers drives up performance. But in the context of schooling, the concern is that any improvements in efficiency may come at the cost of increased stratification of schools along lines of pupil ability and attainments. In this chapter, we discuss our empirical work on competition and parental choice in English primary schools and present a methodology for identifying competition effects that exploits discontinuities in market access close to education district boundaries.

We discuss the two most popular frameworks for identification, estimation and inference in regression discontinuity (RD) designs: the continuity-based framework, where the conditional expectations of the potential outcomes are assumed to be continuous functions of the score at the cutoff, and the local randomization framework, where the treatment assignment is assumed to be as good as randomized in a neighborhood around the cutoff. Using various examples, we show that (i) assuming random assignment of the RD running variable in a neighborhood of the cutoff implies neither that the potential outcomes and the treatment are statistically independent, nor that the potential outcomes are unrelated to the running variable in this neighborhood; and (ii) assuming local independence between the potential outcomes and the treatment does not imply the exclusion restriction that the score affects the outcomes only through the treatment indicator. Our discussion highlights key distinctions between “locally randomized” RD designs and real experiments, including that statistical independence and random assignment are conceptually different in RD contexts, and that the RD treatment assignment rule places no restrictions on how the score and potential outcomes are related. Our findings imply that the methods for RD estimation, inference, and falsification used in practice will necessarily be different (both in formal properties and in interpretation) according to which of the two frameworks is invoked.

The purpose of this study is to examine how foreign firms consider natural disaster risk in subsequent investment decisions in a host country and whether different location portfolios can serve to mitigate investment risk.

The author sample includes data on 437 Fortune Global 500 firms and their initial entry into Chinese provinces between 1955 and 2008.

Using a fixed effects logit model of discrete time event history analysis, results show that geographic proximity to same multinational corporation (MNC) subsidiaries and different MNC subsidiaries from the same home country mitigates the negative effect of natural disasters on MNC entry into an affected province, while geographic proximity to other MNC subsidiaries from different home countries does not.

The knowledge needed to respond to severe disasters appears to be highly context-specific and shared only between firms with a high degree of commonality and trust.

This paper aims to take a step in this direction and use the high dimensional fixed effects and quantile regression discontinuity design to test the managerial Coase theorem, which provides an institutional perspective for us to gauge the impact of private property rights on firm performance and the effect of management costs on intermediate inputs.

This study first uses high dimensional regression discontinuity designs to examine the impact of privatization on firm performance in China between 1998 and 2013.

Results indicate that privatization effects increase average outputs of the firm by around 10% given lower management costs, and management costs increase intermediate inputs by more than 50% points. Using data from annual surveys to test managerial Coase theorem, the authors show that management costs negatively affect the marginal effect of privatization on the average outputs of the firm. The positive impact on the investment in intermediate goods and services is larger in magnitude under higher management costs.

The authors develop the managerial Coase theorem. Today, given lower management costs, private property rights provide an incentive structure for a firm to maximize the value of the assets and expand the boundaries.

Multinational corporations (MNCs) have increasingly sourced knowledge across borders, and foreign subsidiaries operations have played a critical role in MNC international knowledge sourcing strategies. The growing responsibility of foreign subsidiaries has paralleled an interest on the geography of this phenomenon by international business and international management scholars. In this chapter, we review this research. In addition, based on recent research in economics and management drawing on economic geography and innovation studies, we highlight possible avenues of research to enrich our understanding of the geographical aspects of international knowledge sourcing. In particular, we suggest three lines of research opportunities. A first opportunity relates to the explicit consideration of distance and border effects. A further research opportunity arises from investigating the geographical distance of heterogeneous host country knowledge sources from the foreign subsidiary. A final research opportunity we discuss is about the contribution of heterogeneous host country knowledge sources to the variety of knowledge developed by the foreign subsidiary.