Forthcoming Events

11th RCEA Money, Macro and Finance Conference:

The Pandemic Crisis, Macro-Financial Distress, Risks, and Opportunities

The prompt fiscal and monetary responses to the pandemic recession have so far prevented a major worldwide financial crisis. Yet the pandemic is not over, the economic contraction is still large, the expected recovery uneven across countries and sectors, and the risk of new episodes of financial stress, as arising from both corporate and sovereign debts, palpable. At this stage, it is still uncertain whether the pandemic has marked the peak of the financial cycle. But the risks of a too early exit strategy from the expansionary policy mix are self-evident. This is particularly true for the EU economy, for which the lagging vaccination campaign and the third wave of the pandemic raise serious concerns for recovery. The pandemic has turned out to be a formidable challenge, but also a formidable opportunity for long due structural reforms. The goal of the conference is to assemble a group of leading researchers in macroeconomics, monetary economics, and finance to present and discuss their recent work. While the focus of the conference is on theoretical and empirical work related to macro-financial prospects, we welcome papers in all areas of economics and finance related to the overarching theme of the conference.


Keynote speakers:

Robert Engle (New York University) – RCEA Speaker

Pierpaolo Benigno (University of Bern)

Martin Eichenbaum (Northwestern University)

Lars Peter Hansen (University of Chicago)

Enrique Sentana (Cemfi, Madrid)


The 11th RCEA Money-Macro-Finance Conference will be held online in association with the Center for European Studies (CefES) of the University of Milano-Bicocca, the University of California Riverside, and the Joint Research Centre (JRC) of the European Commission on 27-28 July 2021. The conference is part of the RCEA-2021 programme. Papers dealing with both empirical and theoretical issues in the money, macro and finance areas are welcome for contributed sessions.


Paper Submission: Authors should submit an extended abstract of up to 500 words or the full paper. Please include with the submission JEL classification codes for the paper, keywords as well as JEL classification codes of the author(s) specialization field(s). In the case of more than one author, please note the corresponding author. Please send your abstract/paper to rceaworld@gmail.com


Important dates:

  • Paper submission deadline: 25 June 2021

  • Registration will start on 1 July 2021

  • Late fee: after 8 July 2021

Registration Fees:

  • Presenters €100

  • Others Free

  • Late Registration Fee, after July 8, €200 (Presenters only)


Program Committee:

Marcelle Chauvet (RCEA & University of California-Riverside)

Claudio Morana (RCEA-Europe ETS, RCEA, CefES & University of Milano-Bicocca)


Organizing Committee:

Marcelle Chauvet (RCEA & University of California-Riverside)

Claudio Morana (RCEA-Europe ETS, RCEA, CefES & University of Milano-Bicocca)

Lucia Alessi (RCEA & European Commission – Joint Research Centre)

Pierpaolo Benigno (RCEA-Europe ETS & University of Bern)

Patrizio Tirelli (RCEA-Europe ETS, CefES & University of Pavia)


7th RCEA Time Series Workshop

Keynote Speakers

Jean-Marie Dufour (McGill University)

Ivana Komunjer (Georgetown University)

The 7th RCEA Time Series Workshop will be held online in association with the University of Milano-Bicocca on June 25-26 2021. Papers in all areas of Time Series Econometrics are welcome for contributed sessions.


Paper Submission: Authors should submit an extended abstract of up to 500 words. Please include with the submission JEL classification codes for the paper, keywords as well as JEL classification codes of the author(s) specialization field(s). Complete papers may be submitted but the extended abstract is required. In the case of more than one author, please note the corresponding author. Please send your abstract/paper to rceaworld@gmail.com


Important dates:

  • Paper submission deadline: 23 May 2021

  • Notification of acceptance: 31 May 2021

  • Registration will start on 31 May 2021

  • Late fee: after 11 June 2021

  • Papers not registered by 15 June will be dropped from the program.

To download the conference programme click here

Organizing Committee:

Alessandra Luati (RCEA & University of Bologna; academic organizer)

Karim Abadir (RCEA & Imperial College London; academic organizer)

Claudio Morana (RCEA & University of Milano-Bicocca; academic & local organizer)





Free Public Lectures

This is the last opportunity to enroll in this free course. Registration closes October 17, 2020: Register here

Public Lectures on Structural Econometrics

Professor Robert Miller (Carnegie Mellon)

Overview: This online course comprises 28 remote sessions taught twice a week on Saturdays and Sundays from 12:00PM through to 2:00PM. Pittsburgh time (London time minus 5 hours, except October 25-31 when it is minus four hours).

Requirements: Students who register are expected to attend the complete sequence. Those who fail to attend regularly may be denied access to the course.

Registration: This course is open to Ph.D. students or Ph.D. holders in Economics or related fields. A reference letter may be required to confirm appropriate prerequisite training.

Register here

The course analyzes the structural estimation and testing of nonlinear models. We explore relationships between economic theory, identification, estimation and econometric practice. It develops structural approaches for analyzing large cross sectional and longitudinal data sets, by exploiting restrictions derived from the equilibrium dynamic outcomes in individual discrete choice optimization problems and non- cooperative games. We investigate empirical content, characterize identification, evaluate alternative estimators and testing procedures, as well as consider counterfactuals. It has six segments:

  1. The first segment gives a flavor of structural estimation, by show how some examples of economic models induce a data generating process that provides the basis for estimating the structure of the economic environment, critical for conducting counterfactual simulations. We analyze the estimation of preferences in a model of continuous choices in a competitive equilibrium with complete markets; we derive inequalities that are induced by an equilibrium in a limit order market; we quantify the importance of moral hazard in an optimal contracting model; and we introduce the estimation of dynamic discrete choice optimization models.

  2. Then we profile many estimators that have been used to summarize data. They can be placed into four categories: estimators for linear data generating processes, parametric nonlinear processes, plus nonparametric and semiparametric estimators.

  3. The rationale for the third segment of the course is that the exact distribution of most nonlinear estimators is intractable, explaining why we resort to large sample theory. We analyze several notions of convergence, present laws of large number and central limit theorems, derive the asymptotic distribution of several nonlinear estimators, and show how to conduct hypothesis tests.

  4. The second half of this course integrates a discussion of the identification of primitives or deep parameters in economic models with data generating process of the equilibrium. The first segment focuses on various kinds of auctions and contracts.

  5. Then we analyze dynamic discrete choice models in more depth; we derive a representation of the value function, prove identification under the conditional independence assumption, illustrate how various CCP estimators work, analyze the concept of finite dependence, as well as relax the conditional independence assumption.

  6. Lastly we apply structural estimation methodology to lifecycle models of labor economics and product innovation.

Course website: http://comlabgames.com/structuraleconometrics