Journal articles
Fierro, L. E., and Martinoli, M.. An Empirical Inquiry into the Distributional Consequences of Energy Price Shocks, Journal of International Money and Finance (2025), https://doi.org/10.1016/j.jimonfin.2025.103421.
Martinoli, M., Moneta, A., and Pallante, G.. Calibration and Validation of Macroeconomic Simulation Models by Statistical Causal Search. Journal of Economic Behavior and Organization, 2024, 228C: 106786. https://doi.org/10.1016/j.jebo.2024.106786
Seri R., and Martinoli M.. Asymptotic Properties of the Plug-in Estimator of the Discrete Entropy under Dependence. IEEE Transactions on Information Theory, 2021, 67, 12: 7659-7683. doi.org/10.1109/TIT.2021.3109307
Seri, R., Martinoli, M., Secchi, D., and Centorrino, S.. Model Calibration and Validation via Confidence Sets. Econometrics and Statistics, 2021, 20: 62-86. https://doi.org/10.1016/j.ecosta.2020.01.001
Chapters in books
Seri, R., Secchi, D., and Martinoli, M.. Randomness, emergence and causation: A historical perspective of simulation in the social sciences. In S. Albeverio, & E. Mastrogiacomo (Eds.), Complexity and Emergence Springer Science+Business Media. Springer Proceedings in Mathematics & Statistics, 2022: 163-165. doi.org/10.1007/978-3-030-95703-2_7
Working papers
Martinoli, M. (2025). Nonparametric minimum-distance estimation of simulation models. https://ideas.repec.org/p/ssa/lemwps/2025-06.html
Martinoli, M., Seri, R., and Corsi, F. (2024). Generalized Optimization Algorithms for Complex Objective Functions. https://ideas.repec.org/p/ssa/lemwps/2024-18.html (Under review)
Martinoli, M., Di Francesco, D., Moneta, A., and Seri, R. (2024). Estimation of DSGE models by non-Gaussian Vector Autoregression. (draft upon request)
Corsi, F., Martinoli, M., Sarti, M., and Seri, R. (2024). A State-Space Approach for Indirect Inference Estimation with Noisy Data. (draft upon request)
Martinoli, M., and Seri, R. (2023). Nonparametric Moment-based Estimation of Simulated Models via Regularized Regression. (draft upon request)
Collaborations
Andrew Delios, Elena Giulia Clemente, Tao Wu, Hongbin Tan, Yong Wang, Michael Gordon, Domenico Viganola, Zhaowei Chen, Anna Dreber, Magnus Johannesson, Thomas Pfeiffer, Eric Luis Uhlmann, Generalizability Tests Forecasting Collaboration: Mario Martinoli et al.. Examining the generalizability of research findings from archival data. Proceedings of the National Academy of Sciences, 2022, 119.30: e2120377119. https://doi.org/10.1073/pnas.2120377119
Warren Tierney, Jay H. Hardy III, Charles R. Ebersole, Keith Leavitt, Domenico Viganola, Elena Giulia Clemente, Michael Gordon, Anna Dreber, Magnus Johannesson, Thomas Pfeiffer, Eric Luis Uhlmann, Hiring Decisions Forecasting Collaboration: Mario Martinoli et al.. Creative destruction in science. Organizational Behavior and Human Decision Processes, 2020, 161: 291-309. https://doi.org/10.1016/j.obhdp.2020.07.002
Work in progress
Testing Relevance and Exogeneity in Structural Vector Autoregressions with External Instruments (joint with L. Fanelli and A. Moneta).
From Micro to Macro: towards a New Notion of Causality (joint with D. Di Francesco, A. Moneta, M. Pangallo and A. Vandin).
Estimation and Inference for Simulation Models, what's next?
A model for chattering (joint with R. Seri).