Heteroskedasticity in returns may be explainable by trading volume. We use different volume variables, including surprise volume---i.e. unexpected above-average trading activity---which is derived from uncorrelated volume innovations. Assuming weakly exogenous volume, we extend the Lamoureux and...

This paper deals with the estimation of structural econometric models where the probability distribution of endogenous variables is implicitly defined as an equilibrium of a fixed-point problem. It proposes a pseudo maximum likelihood procedure and studies its asymptotic properties.

This paper investigates the finite sample distribution of the least squares estimator of the autoregressive parameter in a first-order autoregressive model. Uniform asymptotic expansion for the distribution applicable to both stationary and nonstationary cases is obtained. Accuracy of...

This article reports the results of a market experiment designed to test the predictions of the constant relative risk aversion model and to study the importance of information feedback in repeated first-price sealed-bid auctions. The data reveal that introduction of price information feedback...

A welfare analysis of a risky policy is impossible within a linear or linearized model and its certainty equivalence property. The presented algorithms are designed as a toolbox for a general model class. The computational challenges are considerable and I concentrate on the numerics and...

There is a wide consensus that New Zealand’s productivity has been poor despite the comprehensive market-oriented reforms of the 1980’s. This consensus is based on estimates of New Zealand’s productivity growth measured either in terms of GDP per capita or total factor productivity (TFP)....

The captioned article was earlier published in “Economic Horizons” volume 18, #72 – AH 1418 – 1997 (4) Pages (65-78). I had some concerns about the article regarding the methodology adopted for analysis in deriving the macroeconomic parameters and the derivation and interpretation of...

This paper proposes an algorithm to obtain maximum likelihood estimates of structural parameters in discrete games with multiple equilibria. The method combines a genetic algorithm (GA) with a pseudo maximum likelihood (PML) procedure. The GA searches efficiently over the huge space of possible...

We analyze by simulation the properties of two time domain and two frequency domain estimators for low order autoregressive fractionally integrated moving average Gaussian models, ARFIMA (p,d,q). The estimators considered are the exact maximum likelihood for demeaned data, EML, the associated...

In the estimation of models with averaged data, weighted least squares is often used and recommended as a way of improving the efficiency of the estimator. However, if the size of the different groups is not conditionally independent of the regressand, consistent estimation may not be possible...