Indirect inference testing can be carried out with a variety of auxiliary models. Asymptotically these different models make no difference. However, in small samples power can differ. We explore small sample power with three different auxiliary models: a VAR, average Impulse Response Functions...

In this paper we consider the ducial argument of Fisher from the point of view of constructing e cient approximations of (or importance distributions to) posterior distributions in econometric models with intractable likelihood functions. The importance or proposal distributions are used along...

In this paper we consider statistical inference using Approximate Bayesian Computation (ABC) and resolve two problems: The choice of summary statistics and the choice of constant in deciding whether synthetic and real data are close in a certain norm. We argue that the natural choice for summary...

In this paper, we consider the stochastic ray production function that has been revived recently by Henningsen et al. (2017). We use a profit-maximizing framework to resolve endogeneity problems that are likely to arise, as in all distance functions, and we derive the system of equations after...

Indirect Inference has been found to have much greater power than the Likelihood Ratio in small samples for testing DSGE models. We look at asymptotic and large sample properties of these tests to understand why this might be the case. We find that the power of the LR test is undermined when...

We test the standard New Keynesian (NK) Dynamic Stochastic General Equilibrium (DSGE) model under the condition with and without inattentive features, where inattentiveness is modelled in the form of sticky information and imperfect information data revision. All models are tested with the...

Indirect inference testing can be carried out with a variety of auxiliary models. Asymptotically these different models make no difference. However, the small sample properties can differ. We explore small sample power and estimation bias both with different variable combinations and descriptive...