Reversing Statistical Erasure of Indigenous Peoples

American Indian and Alaska Native (AIAN) Peoples are diverse, but their diversity is statistically flattened in national-level survey data and, subsequently, in contemporary understandings of race and inequality in the United States. This chapter demonstrates the utility of disaggregated data for gaining, for instance, nuanced information on social outcomes such as educational attainment and income levels, and shaping resource allocation accordingly. Throughout, it explores both reasons and remedies for AIAN invisibility in large data sets. Using their personal identities as a case in point, the authors argue for more refined survey instruments, informed by Indigenous modes of identity and affiliation, not only to raise the statistical salience of AIANs but also to paint a fuller picture of a vibrant, heterogeneous First Peoples all too often dismissed as a vanishing people.

A Global Call to Action for Gender-Inclusive Data Collection and Use

The global data community has made—and is continuing to make—enormous strides toward collecting, analyzing, and using sex-disaggregated data to improve international development programs. Historically, however, sex-disaggregation has been—and largely continues to be—a binary representation of cisgender female and cisgender male populations. This binary interpretation excludes transgender and gender-nonconforming people and further perpetuates marginalization and discrimination of these populations. In a world where disparities are increasing, it is paramount to highlight and share the experiences of marginalized populations so we are better able to serve all beneficiary needs and end disparities. To this end, we call for a paradigm shift from binary sex-disaggregation to multinomial gender-disaggregation, which is more inclusive and equitable. This call to action is aimed particularly at surveyors, researchers, program implementors, policy makers, and gender rights advocates in both resource-sufficient and resource-constrained settings. The lack of adequate gender-disaggregated data is a universal problem.

Recommendations on Diversity Data in the Social Sector

Administrative records, surveys, and censuses are all important resources for understanding the extent and nature of existing inequities and biases. When individuals, households, and peoples (pueblos) are properly identified based on their ethnicity, race, disability status, sexual orientation, migration status, gender identity, or other characteristics, gaps in socioeconomic indicators across these groups can be quantified. This enables policymakers to focus efforts and resources towards the most disadvantaged and promote equity. The lack of disaggregated data representative of diverse groups limits our understanding of their living conditions and economic opportunities. It also poses a significant challenge. This guide supports individuals interested in collecting or analyzing data on indigenous peoples, African descendants, people with disabilities, and LGBTQ populations by providing conceptual and empirical tools for specialists.

Recommendations on Diversity Data in the Social Sector

Administrative records, surveys, and censuses are all important resources for understanding the extent and nature of existing inequities and biases. When individuals, households, and peoples (pueblos) are properly identified based on their ethnicity, race, disability status, sexual orientation, migration status, gender identity, or other characteristics, gaps in socioeconomic indicators across these groups can be quantified. This enables policymakers to focus efforts and resources towards the most disadvantaged and promote equity. The lack of disaggregated data representative of diverse groups limits our understanding of their living conditions and economic opportunities. It also poses a significant challenge. This guide supports individuals interested in collecting or analyzing data on indigenous peoples, African descendants, people with disabilities, and LGBTQ populations by providing conceptual and empirical tools for specialists.

Does intellectual property rights protection affect UK and US outward FDI and earnings from FDI? A sectoral analysis

PurposeDespite decades of research, the relationship between intellectual property rights (IPRs) and foreign direct investment (FDI) remains ambiguous. Using a recently developed patent enforcement index (along with a broader IPR index) and a large sectoral country-to-country FDI dataset, the authors revisit the FDI-IPR relationship by testing the impact of IPRs on UK and US outward FDI (OFDI) flows as well as earnings from outward FDI (EOFDI).Design/methodology/approachThe authors use disaggregated data for up to 9 distinct sectors of economic activity from both the US and UK for OFDI flows and EOFDI, for a panel of up to 42 developed and developing countries over sample periods from 1998 to 2015. The authors employ a panel fixed effects (FE) approach that allows exploiting the longitudinal properties of the data using Driscoll and Kraay's (1998) nonparametric covariance matrix estimator.FindingsThe authors do not find any consistent evidence in support of the hypothesis that countries' strength of IPR protection or enforcement affects inward FDI, or that sector of investment matters. The results prove robust to sensitivity checks that include an alternative broader measure of IPR strength, analyses across sub-samples disaggregated according to the strength of countries' IPRs as well as developing vs developed economies and an extended specification accounting for dynamic effects of the response of FDI to both previous investment levels and IPR (patent) protection.Originality/valueThe authors make use of the largest most granular sectoral country-to-country FDI dataset employed to date in the analysis of the FDI-IPR nexus with disaggregated data for OFDI and EOFDI across up to 9 distinct sectors of economic activity from both the US and UK The authors employ a more sophisticated measure of IPR strength, the patent index proposed by Papageorgiadis et al. (2014), which places emphasis on the effectiveness of enforcement practices as perceived by managers, together with the overall administrative effectiveness and efficiency of the national patent system.