We define a general class of network formation models, Statistical Exponential Random Graph Models (SERGMs), that nest …' (including ERGMs) parameters estimated from the observation of a single network are consistent (i.e., become accurate as the … exponentially slow mixing times for many specifications, we show that by reformulating network formation as a distribution over the …

assumption that the process starts with every node in the network having a signal. We study a natural extension of the DeGroot … agent. This characterization result then allows us to relate network geometry to information aggregation. We identify an … example of a network structure where essentially only the signal of a single agent is aggregated, which helps us pinpoint a …

the uniform distribution that conditions on the number of choices made by each individual in the social network. Several …

on robots and trade, the magnitude of these taxes may decrease as the process of automation and globalization deepens and …

We present a framework for understanding the effects of automation and other types of technological changes on labor … allocation of tasks to capital and labor—the task content of production. Automation, which enables capital to replace labor in … a result, automation always reduces the labor share in value added and may reduce labor demand even as it raises …

created. In a static version where capital is fixed and technology is exogenous, automation reduces employment and the labor … capital accumulation and the direction of research towards automation and the creation of new tasks. If the long-run rental … rate of capital relative to the wage is sufficiently low, the long-run equilibrium involves automation of all tasks …