In this paper we apply the methodology developed by García-Fernández and Palacios-González (2008,2009) based on multiresolution analysis, to the measurement of polarization to Israeli income data over the past decade. This methodology allows us, in contrast to other polarization measures, to...

This paper shows that the informativeness principle, as originally formulated by Holmstrom (1979), does not hold if the first-order approach is invalid. We introduce a "generalized informativeness principle" that takes into account non-local incentive constraints and holds generically, even...

This paper shows that the informativeness principle, as originally formulated by Holmstrom (1979), does not hold if the first-order approach is invalid. We introduce a "generalized informativeness principle" that takes into account non-local incentive constraints and holds generically, even...

This paper shows that the informativeness principle does not automatically extend to settings with limited liability. Even if a signal is informative about effort, it may have no value for contracting. An agent with limited liability is paid zero for certain output realizations. Thus, even if...

The informativeness principle demonstrates qualitative benefits to increasing signal precision. However, it is difficult to quantify these benefits -- and compare them against the costs of precision -- since we typically cannot solve for the optimal contract and analyze how it changes with...

In this paper we study income polarization by first comparing the efficiency of two statistical models to identify the number of poles in the income distribution empirically. The statistical models used are a multi-resolution analysis (MRA) and a log-normal approach (LNA). We then apply the...

In this paper we apply two statistical models to the measurement of polarization to Israeli income data over the past decade in order to empirically detect income classes as sub-populations of incomes concentrated around an optimal number of poles. The statistical models compared are a...