Results 81 to 90 of about 29,308 (254)
Putting the New Keynesian DSGE model to the real-time forecasting test [PDF]
Dynamic stochastic general equilibrium models have recently become standard tools for policy-oriented analyses. Nevertheless, their forecasting properties are still barely explored.
Kolasa, Marcin +2 more
core
Stochastic Simulation Model for Forecasting Index‐Linked Public Expenditure
Public Budgeting &Finance, EarlyView.Abstract This paper introduces a system dynamics (SD) model for analyzing public sector cost growth, where costs are tied to indices. The SD model isolates the effects of automatic indexation, providing probabilistic projections of expenditure growth. It enables testing of alternative indexation strategies and cost‐reduction measures. Findings show how
Miia Rissanen +2 more
wiley +1 more source
Information Content of DSGE Forecasts [PDF]
SSRN Electronic Journal, 2018 AbstractThis paper examines the question whether information is contained in forecasts from dynamic stochastic general equilibrium (DSGE) models beyond that contained in lagged values, which are extensively used in the models. Four sets of forecasts are examined. The results are encouraging for DSGE forecasts of real GDP. The results suggest that there
openaire +2 more sources
Some aspects of construction and use of dynamic stochastic general equilibrium (DSGE) models
Вестник Пермского университета: Серия Экономика, 2016 The article deals with practical aspects of constructing dynamic stochastic general equilibrium models (DSGE). A basic model of the real business cycle theory (RBC) is considered.
Dmitriy Nikolaevich Shults +1 more
doaj +1 more source
Journal of Economic Surveys, Volume 40, Issue 1, Page 443-468, February 2026.ABSTRACT Cryptocurrency markets are known for their wide price fluctuations, lack of central control, and fast‐paced development. These characteristics present serious challenges to traditional theories about how markets work and how prices reflect available information.
Giulia Fantini, Joy Jia, Chiara Oldani
wiley +1 more source
Handbook on DSGE Models: Some Useful Tips in Modeling a DSGE Models [PDF]
SSRN Electronic Journal, 2015 Despite there are useful books and text books from recognized authors about modeling macroeconomics through various types of methods and methodologies, “Some Useful tips in Modeling a DSGE models” try to add special features through an economist can use to model macro and micro relations to explain different scenarios in an specific economy.
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Matching Theory and Data: Bayesian Vector Autoregression and Dynamic Stochastic General Equilibrium Models [PDF]
This paper shows how to identify the structural shocks of a Vector Autore- gression (VAR) while at the same time estimating a dynamic stochastic general equilibrium (DSGE) model that is not assumed to replicate the data generating process.
Alexander Kriwoluzky
core
Monetary Dynamic Stochastic General Equilibrium Models and Inflation Persistence
Metroeconomica, Volume 77, Issue 1, Page 82-93, February 2026.ABSTRACT The paper investigates the capacity of New Keynesian (NK) models to explain inflation persistence without relying on ad hoc backwards‐looking mechanisms or external source of inertia. It explores various features of NK models– such as sticky wages, roundabout production structure, positive trend inflation, and monetary policy inertia– that ...
Salaheddine El Omari, Jalal Qanas
wiley +1 more source
DSGE Models and the Lucas Critique [PDF]
SSRN Electronic Journal, 2013 Abstract Modern DSGE models are microfounded and have deep parameters that should be invariant to changes in economic policy, so in principle they are not subject to the Lucas critique. But the literature has already established that misspecification issues also cause parameter instability after policy changes in DSGE models.
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Review of Income and Wealth, Volume 72, Issue 1, February 2026.ABSTRACT The global financial crisis (GFC) highlighted the crucial role of real estate markets for financial stability and revealed significant weaknesses in the quality, timeliness, and coverage of real estate price indices. Since then, policymakers and statistical institutes have expanded the scope of residential and commercial real estate statistics
Robert J. Hill, Miriam Steurer
wiley +1 more source