Instrumental variables estimation is widely applied in econometrics. To implement the method, it is necessary to specify a vector of instruments. In this paper, it is argued that there are compelling reasons to use the data for instrument selection, but that it is desirable to ensure the...

This paper generalizes Nagar's (1959) approximation to the finite sample mean squared error (MSE) of the instrumental variables (IV) estimator to the case in which the errors possess an elliptical distribution whose moments exist up to infinite order. This allows for types of excess kurtosis...

We propose a new Information Criterion for Impulse Response Function Matching estimators of the parameters of a structural model based on classical Minimum Distance estimation. The advantages of our procedure are that: (i) it improves the efficiency of the estimates of the model's deep...

We propose a new information criterion for impulse response function matching estimators (IRFMEs) of the structural parameters of dynamic stochastic general equilibrium (DSGE) macroeconomic models. An advantage of our procedure is that it allows researchers to select the impulse responses that...

The recognition that policies aimed at “getting prices right” in less developed countries werefailing due to incomplete markets has spurred a new wave of reforms, directed instead at“getting markets and institutions right”. Although previous studies have documented thepotentially crucial...

This study investigates the implications of firm's demand for real balances from the production and monetary economics perspective. Money is a component of production as a factor increasing efficiency in exchange in input markets. Firms may improve efficiency in production by holding real money...

The three essays of this thesis research model selection and estimation issues in financial econometrics. Special attention is given to comparing various approaches used previously in the literature and attempting to compare their out-of-sample performance. Chapter two explores the value of...

In stochastic volatility models, the unit root test on the time series of the unobserved log-volatilities may be performed by applying the commonly usedfrequentist unit root tests. For instance, augmented Dickey Fuller tests based on the log-squared meancorrected returns can be used. The...