Testing long-run neutrality.

From: Economic Quarterly | Date: June 22, 1997| Author: Watson, Mark W. | Copyright information

Propositions about long-run neutrality are at the heart of macroeconomics. In the 1970s, Lucas and Sargent criticized traditional neutrality tests, suggesting that longrun propositions could not be tested without a detailed structural model. Yet, when nominal variables are integrated, long-run neutrality can be tested with limited structural information. Using a suitable econometric framework, we provide empirical tests of four long-run propositions: the neutrality of money, the superneutrali...

Related newspaper, magazine, and journal articles from HighBeam Research

Inhibition of Net Nitrate Uptake by Ammonium in Pima and Acala Cotton Roots.
Crop Science ; EXPOSURE OF PLANT ROOTS to [MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] inhibits net [MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] uptake (Aslam et al., 1994; Kronzucker et al., 1999). Inhibition of net [MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] uptake by [MATHEMATICAL
On the relations among characteristic functions of theta functions.
Journal of Mathematics and Statistics ; Abstract: In this study, using the characteristic values [MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] (mod2) a theorem on the 1/[2.sup.r] coefficients of periods of first order theta function according to the (1, [tau]) period pair (for r [member of] [N.sup is established. The following
Diurnal Fluctuations of Nitrate Uptake and In Vivo Nitrate Reductase Activity in Pima and Acala Cotton.(Statistical Data Included)
Crop Science ; UPTAKE AND REDUCTION, the initial processes by which [MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] is metabolized by higher plants, are modulated by light and dark (Aslam et al., 1976, 1979). Both light-enhanced uptake and decreased uptake in darkness have been reported (Aslam et al., 1979;
Rank-based analysis of the heteroscedastic linear model.
Journal of the American Statistical Association ; 1. INTRODUCTION Heteroscedasticity occurs frequently in linear models. For example, this has been a major problem in many of the dose-response-type data sets drawn from pharmaceutical science experiments that we have been recently investigating (see Dixon, McKean, and Vidmar 1993).
Nitrate uptake, efflux, and in vivo reduction by pima and acala cotton cultivars.
Crop Science ; Excessive N fertilization enhances vegetative growth, extends the period of flower production, and delays maturity (MacKenzie and van Schaik, 1963; Hearn, 1975; Tewolde et al., 1995). Thus, to ensure maximum cotton yields it is important that N fertilizer not be applied in excessive amounts
Semiparametric efficiency in multivariate regression models with missing data.
Journal of the American Statistical Association ; 1. INTRODUCTION We consider a longitudinal study conducted over a fixed interval from time 1 to T. Let [Y.sub.i] = Y.sub.i1], . . . , [Y.sub.iTsup.T], i = 1, . . . , n, be the vector of multivariate outcomes corresponding to the ith subject measured at prespecified visit times (1, . . . , T) . Here
Variance estimation for the regression estimator in two-phase sampling.
Journal of the American Statistical Association ; 1. INTRODUCTION Many estimation techniques in sample surveys require advance knowledge of some auxiliary variable [x.sub.i] which is then used to increase the accuracy of estimates. For example, ratio and regression estimators require a knowledge of [Mathematical Expression Omitted]. If such
Root n bandwidth selectors for kernel estimation of density derivatives.
Journal of the American Statistical Association ; 1. INTRODUCTION Let [X.sub.1], . . ., [X.sub.n] be a random sample from an unknown density f. Let [g.sup.(k)] denote the kth derivative of any function g. Consider the kernel estimate of [f.sup.(kx) of the form [Mathematical Expression Omitted], -[infinity] [less than] x [less than] [infinity], (1)
A nonparametric test for independence between two vectors.
Journal of the American Statistical Association ; 1. INTRODUCTION Consider the problem of detecting dependence between two random vectors, where the dimensions of the vectors may be different. The proposed test is based on a sample of pairs. Let {[Mathematical Expression Omitted], i = 1, . . ., n} denote a random sample of n pairs, with
Diagnostics and robust estimation in multivariate data transformations.
Journal of the American Statistical Association ; 1. INTRODUCTION Consider a p-variate random vector X - ([X.sub.1], . . . , [X.sub.pprime] such that all its components take positive values. If X is not multivariate normal, Andrews, Gnanadesikan, and Warner (1971) proposed the following transformation method to normality. Defining for a [greater