We analyze the empirical effects of different measures of labor standards on the export performance of the United States using annual data for the period 1950-1998, applying a time series approach based on the structural change literature. Hence, we estimate a model with endogenous breaks...

We apply a recently proposed Bayesian model selection technique, known as stochastic model specification search, for characterising the nature of the trend in macroeconomic time series. We illustrate that the methodology can be quite successfully applied to discriminate between stochastic and...

A tractable two-stage constant elasticity of substitution (CES) production function is applied to disaggregated western Canadian wheat and canola data for 1926-2003 to investigate the induced innovation hypothesis. Time series properties of the data are analyzed using cointegration and error...

In regressions involving integrable functions we examine the limit properties of IV estimators that utilise integrable transformations of lagged regressors as instruments. The regressors can be either I(0) or nearly integrated (NI) processes. We show that this kind of nonlinearity in the...

This dissertation consists of three essays on modeling and parameter estimation for covariance non-stationary processes. The first essay considers the non-linear deformation of time scale for G(lambda)-stationary processes developed by Jiang, Gray and Woodward [2006]. After the appropriate...

Generalized autoregressive conditional heteroscedasticity (GARCH) models are widely used in financial markets. Parameters of GARCH models are usually estimated by the quasi-maximum likelihood estimator (QMLE). In recent years, economic theory often implies equilibrium between the levels of time...