traditional theoretical averting-decision models but, quite surprisingly, endogeneity of perceived risk is not always controlled …

This chapter discusses identification of common selection models of the labor market. We start with the classic Roy … ingredients for identification are exclusion restrictions and support conditions. …

, such as a regression function, and treating it as a conditional expectation is central to its identification and estimation … identification related properties of this model when the unknown function mu* belongs to a linear space. We also investigate … underidentification of mu* along with the identification of its linear functionals. Several examples are provided in order to develop …

, distributed lags and vector autoregressions (VAR), quasi-experiments, and identification by heteroskedasticity (IH). Ultimately …

This lecture explores conditions under which there is identification of the impact on an outcome of exogenous variation … identification but set identification is possible if an additional covariation restriction is introduced. Relaxing other restrictions …

define the relevant social network of interest, the endogeneity of social ties, and unobserved shared environmental variables …