This paper proposes the use of the bootstrap when the system Wald test is employed to test for linear restrictions in a stationary vector autoregressive (VAR) model. The bootstrap test is conducted using the generalized least square estimator for VAR parameters, which takes account of...

The cluster robust variance estimator (CRVE) relies on the number of clusters being large. The precise meaning of 'large' is ambiguous, but a shorthand 'rule of 42' has emerged in the literature. We show that this rule depends crucially on the assumption of equal-sized clusters. Monte Carlo...

Flow through refers to the effect of a change in incremental production costs on the prices of goods or services, and is a topic of great interest to regulators and others. This article provides a framework for both analyzing flow through, and for evaluating whether or not flow through, properly...

In impulse response analysis estimation uncertainty is typically displayed by constructing bands around estimated impulse response functions. These bands may be based on frequentist or Bayesian methods. If they are based on the joint distribution in the Bayesian framework or the joint asymptotic...

Kernel-based estimators are often evaluated at multiple bandwidths as a form of sensitivity analysis. However, if in the reported results, a researcher selects the bandwidth based on this analysis, the associated confidence intervals may not have correct coverage, even if the estimator is...

This paper establishes consistency of the weighted bootstrap for quadratic forms $( n^{-1/2} \sum_{i=1}^{n} Z_{i,n} )^{T}( n^{-1/2} \sum_{i=1}^{n} Z_{i,n})$ where $(Z_{i,n})_{i=1}^{n}$ are mean zero, independent $R^{d}$-valued random variables and $d=d(n)$ is allowed to grow with the sample size...

This paper studies bivariate tail comovements on financial markets that are of crucial importance for the world economy: The S&P 500, US bonds, and currencies. We propose to study that form of dependence under the lens of cojump identification in a bivariate Brownian semimartingale with...

Kriging is a popular method for estimating the global optimum of a simulated system. Kriging approximates the input/output function of the simulation model. Kriging also estimates the variances of the predictions of outputs for input combinations not yet simulated. These predictions and their...

Conclusions about poverty and the distribution of incomes are typically based on information obtained from sample surveys. However, sample surveys are subject to sampling and non-sampling errors. Statistical inference allows us to deal with sampling errors. In this paper, we demonstrate the...

This study provides estimates of the price and orishima substitution elasticities between energy and non-energy inputs in two Canadian energy-intensive manufacturing industries: Primary Metal and Cement. The elasticities are estimated using annual industry-level KLEM data (1961-2003) and relying...