Frontiers in Social Science features new research in the flagship journals of the Social Science Research Council’s founding disciplinary associations. Every month we publish a new selection of articles from the most recent issues of these journals, marking the rapid advance of the frontiers of social and behavioral science.

A method to link records across datasets and detect duplicates

A new method to link records across datafiles and to detect duplicate records within files leverages a Bayesian approach incorporating prior information about the data collection processes of the datafiles in a flexible manner.

Author(s)
Serge Aleshin-Guendel and Mauricio Sadinle
Journal
Journal of the American Statistical Association
Citation
Serge Aleshin-Guendel & Mauricio Sadinle (2023) Multifile Partitioning for Record Linkage and Duplicate Detection, Journal of the American Statistical Association, 118:543, 1786-1795, DOI: 10.1080/01621459.2021.2013242 Copy
Abstract

Merging datafiles containing information on overlapping sets of entities is a challenging task in the absence of unique identifiers, and is further complicated when some entities are duplicated in the datafiles. Most approaches to this problem have focused on linking two files assumed to be free of duplicates, or on detecting which records in a single file are duplicates. However, it is common in practice to encounter scenarios that fit somewhere in between or beyond these two settings. We propose a Bayesian approach for the general setting of multifile record linkage and duplicate detection. We use a novel partition representation to propose a structured prior for partitions that can incorporate prior information about the data collection processes of the datafiles in a flexible manner, and extend previous models for comparison data to accommodate the multifile setting. We also introduce a family of loss functions to derive Bayes estimates of partitions that allow uncertain portions of the partitions to be left unresolved. The performance of our proposed methodology is explored through extensive simulations. Supplementary materials for this article are available online.

In-kind transactions in illiquid settings

An informal economy of in-kind payments to subcontractors in the Albanian construction industry facilitated transactions in a setting with low liquidity and few formal banking services.

Author(s)
Smoki Musaraj
Journal
American Anthropologist
Citation
Musaraj, Smoki. 2023. “ Housing as asset and payment: Construction, speculation, and financialization at the European periphery.” American Anthropologist 125: 865–879. https://doi.org/10.1111/aman.13913 Copy
Abstract

Construction booms have dominated Albania's economy and politics since the late 1990s. These booms continued even during times of illiquidity. One of the sources of financing construction in Albania is the practice of klering (in-kind payments). In this practice, developers pay subcontractors in (future) apartments in exchange for materials and labor. I argue that, in klering transactions, housing serves as an asset and a means of payment. The practice of klering emerged at the interface of postcommunist transformations, neoliberal reforms, and the fetishization of housing as an asset of more durable and multifaceted economic and cultural value. While grounded in the local histories and values of housing, klering is made possible by a fuzzy property regime, systemic corruption, and widespread informality. At the same time, klering echoes other global patterns pertaining to housing, such as the rise of asset economy, financialization, and money laundering through real estate purchases. The klering economy echoes speculative logics and practices that are prevalent across and that link centers and peripheries, formal and informal markets. These economic logics generate uncertainty and ambiguity; they mobilize social networks and cultural imaginaries; and they thrive on and further reproduce deep social and economic inequalities.

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