Approximately 100,000 youths are currently incarcerated in the US, yet little is known whether such a penalty deters future crime or interrupts human capital formation in a way that increases the likelihood of later criminal behavior. This paper uses the incarceration tendency of randomly-assigned judges as an instrumental variable to estimate causal effects of juvenile incarceration on adult r...

Recently, relaxation approaches have been successfully used for MAP inference on NLP problems. In this work we show how to extend the relaxation approach to marginal inference used in conditional likelihood training, posterior decoding, confidence estimation, and other tasks. We evaluate our approach for the case of second-order dependency parsing and observe a tenfold increase in parsing speed...

In the history of adoption research, subjective norm mostly remains as the unloved child, being significant in this analysis and not significant in that analysis. Already Davis et al. had to exclude subjective norm of the Technology Acceptance Model due to theoretical and measurement problems. Overall the results of subjective norm as an antecedent for behavioral intention in IS research are qu...

The Marginal Value Theorem (MVT) is a cornerstone of biological theory. It connects the quality and distribution of patches in a fragmented habitat to the optimal time an individual should spend exploiting them, and thus its optimal rate of movement. However, predictions regarding how habitat alterations should impact optimal strategies have remained elusive, with heavy reliance on graphical ar...

To manage the risk of insurance companies, a reinsurance transaction is among myriad management mechanisms top ranked choice. In this paper, we study design optimal contracts within measure minimization framework and subject to Vajda condition. The condition requires reinsurer take an increasing proportion loss when it increases therefore imposes constraints on indemnity function. distortion-ri...

According to the authors, time-modified confounding occurs when the causal relation between a time-fixed or time-varying confounder and the treatment or outcome changes over time. A key difference between previously described time-varying confounding and the proposed time-modified confounding is that, in the former, the values of the confounding variable change over time while, in the latter, t...