Estimated labor supply functions are important tools when designing an optimal income tax or calculating the effect of tax reforms. It is therefore of large importance to use estimation methods that give reliable results and to know their properties. In this paper Monte Carlo simulations are...

Although the high percentage of the uninsured is an important public policy issue, discrepancies in both state and national estimates of the numbers of uninsured are reported. There is a critical need to address the methodological problem of the estimation. This study compares four advanced...

The widespread use of Pearson correlations and, by extension, the Maximum Likelihood estimation method, does not take into account the measurement properties of Likert scales observed variables when carrying out a construct validity process through Confirmatory Factor Analysis (CFA). This...

Nonresponse weighting is a common method for handling unit nonresponse in surveys and is aimed at reducing nonresponse bias. Because the method can be accompanied by an increase in variance, the efficacy of weighting adjustments is often seen as a bias-variance trade-off. This view is an...

Replication research can be used to explore original study results that researchers consider questionable, but it should also be a tool for reinforcing the credibility of results that are important to policies and programs. The challenge is to design a replication plan open to both supporting...

There is only one set of estimates of the prevalence of chronic undernutrition world-wide. These estimates emanate from the FAO and are claimed to be comparable across countries. In this paper it is demonstrated that the FAO has used an estimation model (and data) that induce bias in the...

This paper reviews methods for the estimation of dynamic discrete choice structural models and discusses related econometric issues. We consider single agent models, competitive equilibrium models and dynamic games. The methods are illustrated with descriptions of empirical studies which have...

In this paper the results of six different estimation methods appliead to a linear aggregated model of the Italian economy are at first displayed. Afterwards, the inherent dynamic characteristics and the simulation properties of the six sets of estimates are analyzed. In no case the obtained...

This paper is a survey (in Italian) of the estimation methods for econometric systems of nonlinear simultaneous equations

This work is mainly intended for applied econometricians and students interested in development and application of estimation methods for structural econometric models. For the Klein-I model, detailed numerical tables of the parameters of the structural and restricted reduced form, of their...