Extremely rich data on farm households in Burkina Faso are used to test whether resource are allocated Pareto efficiently. The complexity of household structures, including multi-generation and polygynous households, is taken into account to developing tests from theoretical models of behavior....

Disclosure policies have the potential to help consumers and make markets more efficient. Yet, the effectiveness of disclosure policies can be undermined if firms strategically make unfavorable information unnecessarily complicated to understand. To explore the incentives for using complexity in...

The extant literature predicts market returns with "simple" models that use only a few parameters. Contrary to conventional wisdom, we theoretically prove that simple models severely understate return predictability compared to "complex" models in which the number of parameters exceeds the...

We develop a model of satisficing with evaluation errors that incorporates complexity at the level of individual alternatives. We test the model predictions in a novel data set with information on hundreds of millions of chess moves by experienced players. Consistent with the theory, complex...

Banks have progressively evolved from being standalone institutions to being subsidiaries of increasingly complex financial conglomerates. We conjecture and provide evidence that the organizational complexity of the family of a bank is a fundamental driver of the business model of the bank...

Each year, fourteen million households seeking federal aid for college complete a detailed questionnaire about their finances, the Free Application for Federal Student Aid (FAFSA). At 116 questions, the FAFSA is almost as long as IRS Form 1040 and substantially longer than Forms 1040EZ and...

We propose that innovative originality (InnOrig) is a valuable organizational resource, and that owing to limited investor attention and skepticism of complexity, firms with greater InnOrig are undervalued. We find that firms' InnOrig strongly predicts higher, more persistent, and less volatile...

We define a general class of network formation models, Statistical Exponential Random Graph Models (SERGMs), that nest standard exponential random graph models (ERGMs) as a special case. We provide the first general results on when these models' (including ERGMs) parameters estimated from the...

Haavelmo's seminal 1943 paper is the first rigorous treatment of causality. In it, he distinguished the definition of causal parameters from their identification. He showed that causal parameters are defined using hypothetical models that assign variation to some of the inputs determining...

This paper uses the concept of the triad census first introduced by Holland and Leinhardt, and describes several distributions on directed graphs. Methods are presented for calculating the mean and the covariance matrix of the triad census for the uniform distribution that conditions on the...