We consider the estimation of the location of the pole and memory parameter, λ0 and α respectively, of covariance stationary linear processes whose spectral density function f(λ) satisfies f(λ) ∼ C|λ − λ0|−α in a neighbourhood of λ0. We define a consistent estimator of λ0 and...

Order selection based on criteria by Akaike (1974), AIC, Schwarz (1978), BIC or Hannan and Quinn (1979) HIC is often applied in empirical examples. They have been used in the context of order selection of weakly dependent ARMA models, AR models with unit or explosive roots and in the context of...

We frequently observe that one of the aims of time series analysts is to predict future values of the data. For weakly dependent data, when the model is known up to a finite set of parameters, its statistical properties are well documented and exhaustively examined. However, if the model was...

We show that it is possible to adapt to nonparametric disturbance autocorrelation in time series regression in the presence of long memory in both regressors and disturbances by using a smoothed nonparametric spectrum estimate in frequency-domain generalized least squares. When the collective...

he paper provides a statistical test to assess the adequacy of the static equilibrium framework which can be used prior to specifying a fully dynamic equilibrium model. We develop and apply this test to the production structure and factor demand equations based on the theory of restricted cost...

For linear processes, semiparametric estimation of the memory parameter, based on the log-periodogram and local Whittle estimators, has been exhaustively examined and their properties are well established. However, except for some specific cases, little is known about the estimation of the...

The recent slowdown in the growth of productivity in the U.S. has attracted considerable attention. The deceleration has been attributed to many factors, including a slowdown in the growth of capital intensity and the stock of R&D, changes in the sectoral composition of output, dramatic rises in...

This article focuses on the effects of double-counting and expensing on the measured returns to R&D. The contribution of research and development (R&D) to economic growth has been measured in two general ways. The first is to compute total factor productivity in a growth accounting framework and...

Support for many R&D and technology policies relies on empirical evidence that R&D ‘spills over’ between firms. But there are two countervailing R&D spillovers: positive effects from technology spillovers and negative effects from business stealing by product market rivals. We develop a...

This paper develops a framework for evaluating the social returns to infrastructure investments that intensify product market competition. We use a circular model with asymmetric production costs both for incumbent firms and potential entrants, where unit transport cost measures the intensity of...