Stochastic nonparametric envelopment of data (StoNED) combines the virtues of data envelopment analysis (DEA) and stochastic frontier analysis (SFA) into a unified framework of frontier estimation. StoNED melds the nonparametric piece-wise linear DEA-type frontier with stochastic SFA-type inefficiency and noise terms. We show that the StoNED model can be estimated in the panel data setting in a...

This year’s interactive cross-lingual information access experiment was designed to measure three parameters we expected could affect the performance of users in cross-lingual tasks in languages in which the users are less than fluent. Firstly, introducing new technology, we measure the effect of topic-tailored term expansion on query formulation. Secondly, introducing a new component in the in...

Panel data show that between 2001 and 2014 Norwegian industries’ increasing aggregated operating profits per employee increased average wages wage inequality. The imply profits, perhaps unsurprisingly, induce a premium. further employees earning high incomes at the outset had highest increase percentage-wise. Decreasing opposite but less robust effects on Granger causality tests finally showed ...

According to conventional macroeconomics, public debt has a significant effect on the economy since consumers see public debt as net wealth, however, according to the Ricardian Equivalence hypothesis, that effect would be absent. This paper’s results, obtained from Euler equation estimations, using a panel data approach, indicate that it would be wise to reject the debt neutrality hypothesis fo...

Extending the work by Hausman and Wise (1979), Ridder (1992), Wooldridge (1995) and Ryu (2001), this paper proposes a new and simpler way of accounting for attrition in unbalanced panel data. Cross-sectional units are dissipated over time, possibly in a nonrandom fashion, thus negating the initial randomization. The key element of the current approach is to model the attrition process jointly w...

There are various methods for obtaining the preference vector of pair-wise comparison matrix factors. These methods can be employed when the elements of pair-wise comparison matrix are crisp while they are inefficient for fuzzy elements of pair-wise comparison matrix. In this paper, a method is proposed by which the preference vector of pair-wise comparison matrix elements can be obtained even ...