Arbeitspapier

Generalized State-Dependent Models: A Multivariate Approach

The main purpose of this paper is to develop generalized 'State Dependent Models' (SDM) in a multivariate framework for empirical analysis. This significantly extends the existing SDM which only allow univariate analysis following a simple AR process. The extended model enables greater possibility for empirical analysis of economic relationships. The principle advantage of SDM is that it allows for a general form of non-linearity and can be fitted without any specific prior assumption about the form of non-linearity. We describe the general structure of the SDM and the problem of its identification is also considered. Finally, we apply the algorithm to show the impact of sentiment and income when modelling US consumption.

Language
Englisch

Bibliographic citation
Series: Quaderni - Working Paper DSE ; No. 1067

Classification
Wirtschaft
Multiple or Simultaneous Equation Models: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
Model Construction and Estimation
Business Fluctuations; Cycles

Event
Geistige Schöpfung
(who)
Heravi, Saeed
Easaw, Joshy
Golinelli, Roberto
Event
Veröffentlichung
(who)
Alma Mater Studiorum - Università di Bologna, Dipartimento di Scienze Economiche (DSE)
(where)
Bologna
(when)
2016

DOI
doi:10.6092/unibo/amsacta/5167
Handle
Last update
10.03.2025, 11:43 AM CET

Data provider

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ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.

Object type

  • Arbeitspapier

Associated

  • Heravi, Saeed
  • Easaw, Joshy
  • Golinelli, Roberto
  • Alma Mater Studiorum - Università di Bologna, Dipartimento di Scienze Economiche (DSE)

Time of origin

  • 2016

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