Nonlinearities in the drift and diffusion coefficients influence temporal dependence in scalar diffusion models. We study this link using two notions of temporal dependence: beta-mixing and rho-mixing. We show that beta-mixing and rho-mixing with exponential decay are essentially equivalent...

This paper studies how changes in energy input costs for U.S. manufacturers affect the relative welfare of manufacturing producers and consumers (i.e. incidence). In doing so, we develop a partial equilibrium methodology to estimate the incidence of input taxes that can simultaneously account...

This paper studies how increases in energy input costs for production are split between consumers and producers via changes in product prices (i.e., pass-through). We show that in markets characterized by imperfect competition, marginal cost pass-through, a demand elasticity, and a price-cost...

This paper studies how changes in energy input costs for U.S. manufacturers affect the relative welfare of manufacturing producers and consumers (i.e., incidence). In doing so, we develop a novel partial equilibrium methodology designed to estimate the incidence of input taxes. This method...

This paper estimates how increases in production costs due to energy inputs affect consumer versus producer surplus (i.e., incidence). In doing so, we develop a general methodology to measure the incidence of changes in input costs that can account for three first-order issues: factor...

First difference maximum likelihood (FDML) seems an attractive estimation methodology in dynamic panel data modeling because differencing eliminates fixed effects and, in the case of a unit root, differencing transforms the data to stationarity, thereby addressing both incidental parameter...

We provide a limit theory for a general class of kernel smoothed U statistics that may be used for specification testing in time series regression with nonstationary data. The framework allows for linear and nonlinear models of cointegration and regressors that have autoregressive unit roots or...

Trends are ubiquitous in economic discourse, play a role in much economic theory, and have been intensively studied in econometrics over the last three decades. Yet the empirical economist, forecaster, and policy maker have little guidance from theory about the source and nature of trend...

This paper introduces a new confidence interval (CI) for the autoregressive parameter (AR) in an AR(1) model that allows for conditional heteroskedasticity of general form and AR parameters that are less than or equal to unity. The CI is a modification of Mikusheva's (2007a) modification of...

A unifying framework for inference is developed in predictive regressions where the predictor has unknown integration properties and may be stationary or nonstationary. Two easily implemented nonparametric F-tests are proposed. The test statistics are related to those of Kasparis and Phillips...