We propose a new estimator, the thresholded scaled Lasso, in high dimensional threshold regressions. First, we establish an upper bound on the <I>ℓ</I><SUB>∞</SUB> estimation error of the scaled Lasso estimator of Lee et al. (2012). This is a non-trivial task as the literature on high-dimensional models has...</sub></i>

Asymptotically pivotal structural change tests are developed for simultaneous equations with weakly identified parameters, extending the boundedly pivotal tests of Caner (2007, <italic>Journal of Econometrics</italic> 137, 28–67) by means of a simple reparametrization of the model.

<heading format="display" id="h1" implicit="yes" level="1">Abstract</heading> Sovereign wealth funds have rapidly become significant international institutions. The performance of funds varies substantially across countries, but comprehensive and systematic analyses of funds have been hampered by the lack of transparency of most funds. The relative transparency...

[eng] The Norwegian sovereign wealth fund (SWF) is widely acknowledged to be one of the most transparent funds of its type. It has performed like a balanced mutual fund whose investments have been no more disruptive to financial markets than those of other institutional investors. There is a...

There is a growing consensus that it is difficult to pick instruments that perfectly satisfy the exclusion restriction. Drawing on results from Berkowitz, Caner, and Fang (2012, Journal of Econometrics 166: 255–266), we provide in this article a nontechnical summary of how valid inferences can...

This paper consider penalized empirical loss minimization of convex loss functions with unknown non-linear target functions. Using the elastic net penalty we establish a finite sample oracle inequality which bounds the loss of our estimator from above with high probability. If the unknown target...

This paper analyzes many weak moment asymptotics under the possibility of similar moments. The possibility of highly related moments arises when there are many of them. Knight and Fu (2000) designate the issue of similar regressors as the “nearly singular” design in the least squares case....

We propose a new estimator, the thresholded scaled Lasso, in high dimensional threshold regressions. First, we establish an upper bound on the sup-norm estimation error of the scaled Lasso estimator of Lee et al. (2012). This is a non-trivial task as the literature on highdimensional models has...

This paper shows how valid inferences can be made when an instrumental variable does not perfectly satisfy the orthogonality condition. When there is a mild violation of the orthogonality condition, the Anderson and Rubin (1949) test is oversized. In order to correct this problem, the...

Valid instrumental variables must be relevant and exogenous. However, in practice it is difficult to find instruments that are exogenous in that they satisfy the knife-edged orthogonality condition and at the same time are strongly correlated with the endogenous regressors. In this paper we show...