A role for confidence: volition regimes and news

  • Alessandro SACCAL Thapar Institute of Engineering and Technology, India


The economic literature presents a variety of empirical models of the structural impulse response function (SIRF) in real consumption and real output following changes in confidence or sentiment, particularly in the US and EA. This paper replicates them on the orbit of a neokeynesian dynamic stochastic general equilibrium (NK-DSGE) model characterized in particular by macroeconomic agents and derived from start to finish. Trust is specifically modeled as an endogenous variable characterized by a coalescence of three processes governed by a degree of volition, the processes being permanent technology, transient technology, and noise technology. The first two processes affect the actual production technology with a delay of one lag, while the third does not at all. The short-run responses to changes in confidence are shown whenever the degree of willingness allows confidence to change real consumption and aggregate labor, thus being non-negligible. Whenever the degree of volition was, by contrast, negligible, exogenous shocks in noise technology would cause no fluctuation in actual consumption and actual power.


[1]. Adjemian S., Bastani H., Juillard M., Karamé F., Mihoubi F., Mutschler W., Pfeifer J., Ratto M., Rion N. and Villemot S. (2022). “Dynare: reference manual version 5", CEPREMAP Dynare working papers, https://www.dynare.org/wp-repo/dynarewp072.pdfhttps://www.dynare.org
[2]. Akerlof G. and Shiller R. (2008). “Animal spirits", https://press.princeton.edu/books/paperback/9780691145921/animal-spiritshttps://press.princeton.edu
[3]. Angeletos G.-M. and La'O J. (2013). “Sentiments", Econometrica.
[4]. Angeletos G.-M., Collard F. and Dellas H. (2018). “Quantifying confidence", Econometrica.
[5]. Barsky R. and Sims E. (2012). “Information, animal spirits, and the meaning of innovations in consumer confidence", American economic review.
[6]. Beaudry P. and Portier F. (2006). “Stock prices, news, and economic fluctuations", American economic review.
[7]. Blanchard O., L'Huillier J.-P. and Lorenzoni G. (2013). “News, noise, and fluctuations: an empirical exploration", American economic review.
[8]. Blanchard O. and Kahn C. (1980). “The solution of rational linear difference models under rational expectations", Econometrica.
[9]. Calvo G. (1983). “Staggered prices in a utility maximizing framework", Journal of monetary economics.
[10]. Chahrour R. and Jurado K. (2018). “News or noise? The missing link", American economic review.
[11]. Cochrane J. (1994). “Permanent and transitory components of GNP and stock prices", Quarterly journal of economics.
[12]. Fernández-Villaverde J., Rubio-Ramírez J., Sargent T. and Watson M. (2007). “ABCs (and Ds) of understanding VARs", American economic review.
[13]. Franchi M. (2013). “Comment on: Ravenna F. 2007. Vector autoregressions and reduced form representations of DSGE models. Journal of Monetary Economics 54, 2048-2064.", Dipartimento di scienze statistiche empirical economics and econometrics working papers series.
[14]. Keynes J. (1936). “The general theory of employment, interest and money", https://www.files.ethz.ch/isn/125515/1366_KeynesTheoryofEmployment.pdfhttps://www._les.ethz.ch
[15]. Lorenzoni G. (2009). “A theory of demand shocks", American economic review.
[16]. Pigou A. C. (1927). “Industrial fluctuations", https://archive.org/details/in.ernet.dli.2015.149659https://archive.org
[17]. Saccal A. (2022). “Confidence and economic activity in Europe", The IUP journal of applied economics.
[18]. Saccal A. (2023). “A finite, empirically useless and almost sure VAR representation for all minimal transition equations", MPRA.
[19]. Sims E. (2012). “News, non-invertibility, and structural VARs", Advances in econometrics.
[20]. Smets F. and Wouters R. (2005). “Comparing shocks and frictions in US and Euro Area business cycles: a Bayesian DSGE approach", Journal of applied econometrics.
How to Cite
SACCAL, Alessandro. A role for confidence: volition regimes and news. Journal of Mathematical Economics and Finance, [S.l.], v. 9, n. 1, p. 7 - 71, june 2023. ISSN 2458-0813. Available at: <https://journals.aserspublishing.eu/jmef/article/view/7987>. Date accessed: 24 june 2024. doi: https://doi.org/10.14505/jmef.v9.1(16).01.