Thomas de Graaff

TL;DR: In this article, the authors explore the evolution of the resilience concept in both a continuous and discrete time setting, starting from the first fundamental definitions offered by Holling, Pimms and Perrings in an economic-ecological modeling context.

TL;DR: Cliff and Ord as mentioned in this paper used autocorrelation statistics for regression residuals to detect spatial correlations in categorical and continuous spatial data series and showed that the detection of spatial autocoregressive correlation implies either a nonlinear relationship between dependent and independent variables, the omission of one or more spatially correlated regressors, or the appropriateness of an autoregressive error structure.

TL;DR: In this article, the trade-off between working at home and out-of-home, ICT and commuting time is analyzed, and it is shown that working at at home leads to a (marginally significant) reduction of the wage rate of about 19%.

TL;DR: This paper seeks to break new research ground by linking the classical diagnostic tools developed in spatial econometrics to nonlinearity tests for empirical data series, in particular the so-called BDS (Brock, Dechert, Scheinkman) test.

TL;DR: This article studied the relationship between language acquisition of immigrants and the relative size of the immigrant stock, employing a microeconomic trading framework, and found that there is only ambiguous support for the inverse relationship between size of immigrant community and language acquisition or language proficiency in The Netherlands.