In recent years there has been increasing concern about the identification of parameters in dynamic stochastic general equilibrium (DSGE) models. Given the structure of DSGE models it may be difficult to determine whether a parameter is identified. For the researcher using Bayesian methods, a...

One of the leading methods of estimating the structural parameters of DSGE models is the VAR-based impulse response matching estimator. The existing asymptotic theory for this estimator does not cover situations in which the number of impulse response parameters exceeds the number of VAR model...

From a theoretical perspective, the output gap is probably the most comprehensive and convincing concept to describe the cyclical position of an economy. Unfortunately, for practical purposes, the concept depends on the determination of potential output, which is an inherently unobservable...

We utilise repeated cross sections of micro data from several countries, available from the Luxembourg Income Study, LIS, to estimate labour supply elasticities, both at the intensive and extensive margin. The benefit of the data is that it spans over four decades and includes a large number of...

This study develops a stylised DSGE model, that departs in one aspect: it replaces the general equilibrium approach by disequilibrium economics. In this way, richer macroeconomic adjustment dynamics result, as it is not necessary to assume that goods and labour markets continuously clear. The...

Reporting point estimates and error bands for structural vector autoregressions that are only set identified is a very common practice. However, unless the researcher is persuaded on the basis of prior information that some parameter values are more plausible than others, this common practice...

Greater international economic interconnectedness over recent decades has been changing inflation dynamics. This paper presents evidence that the expansion of global value chains (GVCs), ie cross-border trade in intermediate goods and services, is an important channel through which global...

A growing literature uses changes in residual volatility for identifying structural shocks in vector autoregressive (VAR) analysis. A number of different models for heteroskedasticity or conditional heteroskedasticity are proposed and used in applications in this context. This study reviews the...