Arbeitspapier

Beyond correlation: Measuring interdependence through complementarities

Given two sets of random variables, how can one determine whether the former variables are more interdependent than the latter? This question is of major importance to economists, for example, in comparing how various policies affect systemic risk or income inequality. Moreover, correlation is ill-suited to this task as it is typically not justified by any economic objective. Economists' interest in interdependence often stems from complementarities (or substitutabilities) in the environment they analyze. This paper studies interdependence using supermodular objective functions: these functions treat their variables as complements, and their expectation increases as the realizations of the variables become more aligned. The supermodular ordering has a linear structure, which we exploit to obtain tractable characterizations and methods for comparing multivariate distributions, and extend when objective functions are also monotonic or symmetric. We also provide sufficient conditions for comparing random variables generated by common and idiosyncratic shocks or by heterogeneous lotteries, and illustrate our methods with several applications.

Sprache
Englisch

Erschienen in
Series: CSIO Working Paper ; No. 0134

Klassifikation
Wirtschaft
Equity, Justice, Inequality, and Other Normative Criteria and Measurement
Criteria for Decision-Making under Risk and Uncertainty
Portfolio Choice; Investment Decisions
Insurance; Insurance Companies; Actuarial Studies
Thema
interdependence
supermodularity
correlation
copula
mixture
majorization
tournament

Ereignis
Geistige Schöpfung
(wer)
Meyer, Margaret
Strulovici, Bruno
Ereignis
Veröffentlichung
(wer)
Northwestern University, Center for the Study of Industrial Organization (CSIO)
(wo)
Evanston, IL
(wann)
2015

Handle
Letzte Aktualisierung
10.03.2025, 11:44 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Meyer, Margaret
  • Strulovici, Bruno
  • Northwestern University, Center for the Study of Industrial Organization (CSIO)

Entstanden

  • 2015

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