A hallmark of modern labour economics is the close interplay between the development of theory, data sources and econometric testing. The evolution of the economic analysis of unemployment insurance (UI) provides a good illustration. The economics of UI has been a very active research area over...

There has recently been a rapid expansion of interest in the econometrics of summative program evaluation, both within Australia and around the world. We provide a review of the key issue and recent developments in this field. A central feature of recent developments is the attempt to allow for...

In this paper, we employ both calibration and modern (Bayesian) estimation methods to assess the role of neutral and investment-specific technology shocks in generating fluctuations in hours. Using a neoclassical stochastic growth model, we show how answers are shaped by the identification...

There is a fast growing literature that partially identifies structural vector autoregressions (SVARs) by imposing sign restrictions on the responses of a subset of the endogenous variables to a particular structural shock (sign-restricted SVARs). To date, the methods that have been used are...

This lecture is about how best to evaluate economic theories in macroeconomics and finance, and the lessons that can be learned from the past use and misuse of evidence. It is argued that all macro/finance models are `false' so should not be judged solely on the realism of their assumptions. The...

A fruitful emerging literature reveals that shocks to uncertainty can explain asset returns, business cycles and financial crises. The literature equates uncertainty shocks with changes in the variance of an innovation whose distribution is common knowledge. But how do such shocks arise? This...

The downturn in the world economy following the global banking crisis has left the Chinese economy relatively unscathed. This paper develops a model of the Chinese economy using a DSGE framework with a banking sector to shed light on this episode. It differs from other applications in the use of...

This paper is concerned with methods for analysing spatial data. After initial discussion on the nature of spatial data, including the concept of randomness, we focus most of our attention on linear regression models that involve interactions between agents across space. The introduction of...

This paper gives money a role in providing cheap collateral in a model of banking; this means that, besides the Taylor Rule, monetary policy can affect the risk-premium on bank lending to firms by varying the supply of M0 in open market operations, so that even when the zero bound prevails...