27th Euro Area Business Cycle Network Training School 'Practical DSGE Models'
Most DSGE model used by policy institutions are generally of large scale and little attention is generally paid to issues like model misspecification, model evaluation, model reduction and re-specification. This course offers hints on how one can address these all these issues in a unified way and make economic analyses more robust. The programme will include: - Bayesian estimation of DSGE models: a refresher. Identification issues. - Choosing the variables to estimate DSGE models. Dealing with trends/non-balanced growth paths. Bridging models and data. - Data Rich DSGEs, combining information from different sources. Role of measurement error. Singularity and estimation. - Eliciting data-based priors, DSGE-VARs. - Model Evaluation, model pruning and re-specification. - Time varying DSGE models: solutions and estimation issues. - Dealing with model misspecification.
|Event dates:||2017-09-13 – 2017-09-15|
|Deadline Call for Papers:||2017-05-24|
|Organizers:||Euro Area Business Cycle Network EABCN Deutsche Bundesbank, Frankfurt, Germany|
|Conference venue:||Frankfurt am Main|
Amanda Vincent-Rous (firstname.lastname@example.org)
|Classification:||C3 - Econometric Methods: Multiple/Simultaneous Equation Models ; C5 - Econometric Modeling ; C8 - Data Collection and Data Estimation Methodology; Computer Programs|
|Event type:||Seminare, Summer Schools, Symposien, Workshops; Seminars, Summer Schools, Symposiums, Workshops|