Using panel data, this paper tests whether foreign, public, and private capital have a positive and significant effect on aggregate output and labor productivity for Mexico during the 1960-2001 period. The richer information set made possible by the sectorial data enables this study to utilize the methodologically sound Agroup-mean@ Fully Modified Ordinary Least Squares (FMOLS) procedure develo...

Variables may be used as products in a regression model to correct or adjust for the effects of other variables. Such variables may be transformed to become indices; for example, to be constrained to be between 0 and 1. We provide a theoretical and a practical demonstration that the choice of transformation can affect the statistical significance of tests associated with estimates of effects an...

In this paper we present a linear regression model for modal symbolic data. The observed variables are histogram variables according to the definition given in Bock and Diday [1] and the parameters of the model are estimated using the classic Least Squares method. An appropriate metric is introduced in order to measure the error between the observed and the predicted distributions. In particula...

This study examined the factors that influence agricultural production and exports with specific reference to the natural rubber in India. Secondary data was used for this study. Ordinary Least Squares (OLS) technique was used in analyzing the relevant data. The OLS findings revealed that natural rubber production is significantly (p<0.05) by export of natural rubber (β=0.05), stock (β=0.21) an...

In this paper, the effect of misspecification due to omission of relevant variables on the dominance of the r −(k, d) class estimator proposed by Özkale (2012), over the ordinary least squares (OLS) estimator and some other competing estimators when some of the regressors in the linear regression model are correlated, have been studied with respect to the mean squared error criterion. A simulat...

This paper explores the overall efficacy of using trademark data as an economic indicator. The paper posits that trademarks—like other measures of innovation and technology production, such as the patent or R&D expenditures—can be used as an effective indicator of regional economic conditions. Yet, trademarks are distinct in that they are market centered. Unlike the productioncentered innovatio...

This paper compares the finite sample performance of the canonical correlation regression estimator (CCR) and Stock and Watson's (A simple estimator of cointegration vectors in higher order integrated systems, Econometrica, 1993, 61(4), 783-820) dynamic ordinary least squares estimator (DOLS) using the models proposed by Inder (Journal of Econometrics, 1993, 57, 53-68). The CCR estimator shows ...

In this paper, the financial engineering minimum risk-based portfolio hedging model is first analyzed. It is then followed by the investigation on various major estimation methods for the minimum risk hedge ratio. The results revealed in the current study show that the HR obtained by the ordinary least squares (OLS) model is maximal and the out-of-sample hedging performance is the best; however...

We formulate and evaluate weighted and ordinary least squares procedures for estimating the parametric rate function of a nonhomogeneous Poisson process. Special emphasis is given to processes having an exponential rate function, where the exponent may include a polynomial component or some trigonometric components or both. Theoretical and experimental evidence is provided to explain some surpr...

Methods Ordinary least squares regression was used to develop relationships between forest extent and surface temperature. Forest extent was derived from the 900 m 2001 National Land Cover Database (NLCD 2001) and surface temperature data were from the MODIS 1 km 8-day composite (MYD11A2). Forest–surface temperature relationships were developed for winter, spring, summer, autumn and annually us...