Recently, it has been suggested that macroeconomic forecasts from estimated dynamic stochastic general equilibrium (DSGE) models tend to be more accurate out-of-sample than random walk forecasts or Bayesian vector autoregression (VAR) forecasts. Del Negro and Schorfheide (2013) in particular...

In this dissertation, we analyze whether the noise ratio statistic of Durlauf and Hall (1989), NRT, can be used as a non-nested model selection tool in a similar fashion to the Rivers and Vuong (2002) framework. For this purpose, we first show that, when scaled by the sample size T, NRT is...

The increased importance of fragmentation in world trade has created an interest among trade economists to explain the determinants of trade in intermediate goods. A substantial part of trade in intermediates between the US and OECD countries takes the form of intra-industry (IIT). I have...

This dissertaion is comprised of two essays on econometric evaluation of models of commodity futures prices. The first essay develops a frequency- domain volatility bound approach that can be used to evaluate possibly mis-specified models. The proposed method allows us to detect model failures...

This dissertation consists of three essays, first two of which consider a new estimation method of dynamic panel data models and the last one considers an application of these models. The first essay (Chapter 1) offers empirical likelihood (EL) estimation of dynamic panel data models, which...

GMM provides a computationally convenient estimation method and the resulting estimator can be shown to be consistent and asymptotically normal under the fairly moderate regularity conditions. It is widely known that the information content in the population moment condition has impacts on the...