As pointed out by Hall (1988), intertemporal substitution by consumers is a central element of many modern macroeconomic and international models. We argue that Hall's estimator or the IES is downward biased because the intra-temporal substitution between nondurable consumption goods and durable...

The literature of commodity supply functions is characterized by explanatory variables which are either current of lagged prices. This study not only underlines the existence of other equally or more important factors but also emphasize their explicit incorporation in estimation.

This paper puts forth a concept of Adptivety Rational Equilibrium (A.R.E) where agents base decisions upon predictions of future values of endogenous variables whose actual values are determined by equilibrium equations.

This study proposes a new approach to the estimation of daily volatility. This approach is different ( in the sense of using all available intraday price data) and unbiased ( in the sense of accounting for the high levels of autocorrelation found in intraday price data).

The problem of constructing prediction intervals for linear time series (ARIMA) models is examined. The aim is to find prediction intervals which incorporate an allowance for sampling error associated with parameter estimates. The effect of constraints on parameters arising from stationary and...

Left truncated and right censored data can naturally arise in survival analysis besides others fields such as insurance and economics. In this paper we consider the sitaution of bivariate observations where one of the components is subject to left truncation and right censoring.

Given data from a sample of noisy curves in a nonlinear parametric regression model we consider nonparametric estimation of the model function and the parameters under certain structural assumptions. An algorithm for a consistent estimator is proposed and examples given.

The generalised method of moments (GMM) is combined with the nonparametric estimation of the instrument matrix to obtain an easily computable estimator for the panel probit model. It is based on the specification of the conditional mean of the binary dependent variable in each period, and...