Tehran Institute for Advanced Studies (TeIAS)

/ Summer School in Structural Economics & Finance Aug 2023

Summer School

Structural Economics & Finance

Pooster min

August 9, 10, 16, 17, 2023
(18, 19, 25, 26 Mordad 1402)



Khatam University Amphitheater


1.000.000 Tomans
(Waived for graduate students with good standing.)

Registration Deadline

July 31, 2023 (9 Mordad 1402)

General Chair

Mohammad Morovati

Scientific Organization Committee

- Mohammad Reza Mousavi
- Hossein Hojjat

Local Organization Chair

Fereshte Allahverdi

You may need a VPN to start the talk.



Executive Chair
Fereshte Allahverdi


Scientific Chair
Sahber Ahmadi-Renani


Organization Chair
Amin Hamzehali


Structural models are an integral part of empirical analysis in economics and finance. Structural models offer a unique way to understand data, analyze mechanisms, and evaluate policy counterfactuals. With innovations in big data, computational tools, and numerical methods, their applications are only growing. In this summer school, we review the basics of identification and estimation of structural models along with various areas of economics and finance that benefit from the use of structural methods, such as interbank lending markets, unemployment, and family taxation.

Target Audience

Master and Ph.D. Students in economics and finance interested in employing theory and data rigorously in their research.


Mehran Ebrahimian

Mehran Ebrahimian

Assistant Professor




Title: DyNetKAT: An Algebra of Dynamic Networks

Abstract. In this talk I will introduce DyNetKAT -a formal language for specifying dynamic updates for Software Defined Networks. The latter can play an important role in solving issues concerning big data applications, including data processing in cloud data centers, optimisations and data delivery. DyNetKAT builds upon Network Kleene Algebra with Tests (NetKAT) and adds constructs for synchronisations and multi-packet behaviour to capture the interaction between the control- and data plane in dynamic updates. A sound and ground-complete axiomatisation of DyNetKAT will be discussed, together with an efficient method for reasoning about safety properties, and associated case studies.


Title: Causal Reasoning in Systems

Abstract. Causal inference plays an important role in assessing why did a hazardous situation occur and how certain undesired scenarios could have been avoided, or when performing fault localisation in systems, amongst others. In this talk I will introduce a notion of “actual causality”, proposed by Joseph Halpern and Judea Pearl in their seminal work “Causes and explanations: A structural-model approach”. An adoption to the setting of transition systems and, implicitly, DyNetKAT models, will be discussed as well. As we shall see, causal inference for DyNetKAT enables addressing interesting questions such as Reachability: “Can host A communicate with host B? Can every host communicate with every other host?”, or Security: “Does all untrusted traffic pass through the intrusion detection system located at C?”.

Hosein Joshaghani

Hosein Joshaghani

Assistant Professor




Sahber Ahmadi-Renani

Assistant Professor



Mahdi Ebrahimi Kahou

Mahdi Ebrahimi Kahou

Assistant Professor


Bowdoin College (Online)