Having in view some algebraical properties of the Student Test statistics, in this paper a new indicator is proposed in order to evaluate the quality of estimation in case of a linear regression with three explanatory variables, when OLS method is used. The respective indicator, named Synthesis...

Soft regression is a regression technique based on fuzzy information processing and heuristic information processing methods. However, following the practical use of the method, it was found that two aspects of the calculations pertaining to the relative weights of explanatory variables could be...

We extend our 2003 paper on instrumental variables (IV) and GMM estimation and testing and describe enhanced routines that address HAC standard errors, weak instruments, LIML and k-class estimation, tests for endogeneity and RESET and autocorrelation tests for IV estimates.

A regression model is considered where earnings are explained by schooling and ability. It is assumed that schooling is measured with error and that there are no data on ability. Regressing earnings on observed schooling then yields an estimate of the return to schooling that is subject to...

In this paper, I examine the properties of the class of generalized empirical likelihood estimators of moment-condition models. These nonparametric likelihood estimators satisfy exactly the moment conditions and automatically remove any bias due to a lack of centering. Moreover, the bias of the...

In this paper we show how the assumption that higher moments do not depend on the regressors can be exploited in a GMM framework, and we provide very simple estimators that are equivalent to GMM estimators. These simple estimators can be calculated by linear regressions which have been augmented...

The validity of the key behavioral parameters used in the calibration process of computable general equilibrium (CGE) models remains a debated issue in the CGE literature. CGE modelers prefer to borrow from the handful of estimates available in the literature rather than estimating these...

This study sheds new light on the question of whether or not sentiment surveys, and the expectations derived from them, are relevant to forecasting economic growth and stock returns, and whether they contain information that is orthogonal to macroeconomic and financial data. I examine 16...

I present evidence that higher frequency measures of inflation expectations outperform lower frequency measures of inflation expectations in tests of accuracy, predictive power, and rationality. For decades, the academic literature has focused on three survey measures of expected inflation: the...

Suppose the tails of the noise distribution in a regression exhibit power law behavior. Then the distribution of the OLS regression estimator inherits this tail behavior. This is relevant for regressions involving financial data. We derive explicit finite sample expressions for the tail...