In this paper, I derive an expression for the asymptotic bias in the OLS estimator of the partial effect of a regressor on the dependent variable when there is reverse causality and all variables in the model are covariance stationary. I show that the sign of the asymptotic bias depends only on...

Despite much recent work on the finite-sample properties of estimators and tests for linear regression models with a single endogenous regressor and weak instruments, little attention has been paid to tests for overidentifying restrictions in these circumstances. We study asymptotic tests for...

This paper uses multi-level factor models to characterize within- and between-block variations as well as idiosyncratic noise in large dynamic panels. Block-level shocks are distinguished from genuinely common shocks, and the estimated block-level factors are easy to interpret. The framework...

We provide a simple framework for interpreting instrumental variable regressions when there is a gap in time between the impact of the instrument and the measurement of the endogenous variable, highlighting a particular violation of the exclusion restriction that can arise in this setting. In...

There is considerable literature on matrix-variate gamma distributions, also known as Wishart distributions, which are driven by a shape parameter with values in the (Gindikin) set {i/2, i = 1, . . . , k−1}∪((k−1)/2, ∞). We provide an extension of this class to the case where the shape...

The generalized asymmetric Laplace (GAL) distribution, also known as the variance/mean-gamma model, is a popular flexible class of distributions that can account for peakedness, skewness, and heavier than normal tails, often observed in financial or other empirical data. We consider extensions...

In the paper, we test the effect of local development, regional and local policies on the location decisions and productivity of firms. Development indicators include local research and development activity or education while policy decisions used in this study encompass for example tax rates,...

We propose a novel statistic to test the rank of a matrix. The rank statistic overcomes deficiencies of existing rank statistics, like: a Kronecker covariance matrix for the canonical correlation rank statistic of Anderson [Annals of Mathematical Statistics (1951), 22, 327–351] sensitivity to...

Long-term bond yields contain a risk-premium, an important part of which is compensation for inflation risks. The substantial increase in the Fed funds rate in the mid-2000s did not raise long-term US Treasury yields due to the reduction in the term premium (so-called Greenspan conundrum) which...