J. Benes, . Jbenes@imf, M. Org, . Kumhof, . Mkumhof@imf et al., DLaxton@imf.org, Financial Crises in DSGE Models: A Prototype Model, IMF Working Papers, vol.14, issue.57

A. Caiani, A. Godin, E. Caverzasi, M. Gallegati, S. Kinsella et al., Agent based-stock flow consistent macroeconomics: Towards a benchmark model, Journal of Economic Dynamics and Control, vol.69, pp.375-408, 2016.
DOI : 10.1016/j.jedc.2016.06.001

E. Caverzasi and A. Godin, Post-Keynesian stock-flow-consistent modelling: a survey, Cambridge Journal of Economics, vol.39, issue.1
DOI : 10.1093/cje/beu021

W. Godley, Monetary economics: an integrated approach to credit, money, income, production and wealth, 2007.

S. Gualdi, M. Tarzia, F. Zamponi, and J. Bouchaud, Tipping points in macroeconomic agent-based models, Journal of Economic Dynamics and Control, vol.50, 2015.

L. Carvalho and C. D. Guilmi, Income inequality and macroeconomic instability: a stock-flow consistent approach with heterogeneous agents, CAMA Working Papers 2014-60, 2014.
DOI : 10.2139/ssrn.2499977

P. Seppecher, Modèles multi-agents et stock-flux cohérents : une convergence logique et nécessaire URL https, 2016.

A. Hazan, Volume of the steady-state space of financial flows in a monetary stock-flow-consistent model, Physica A: Statistical Mechanics and its Applications, 2017.

M. R. Evans, S. N. Majumdar, and R. K. Zia, Canonical Analysis of Condensation in Factorised Steady States, Journal of Statistical Physics, vol.89, issue.2, pp.357-390, 2006.
DOI : 10.1007/s10955-006-9046-6

M. Filiasi, G. Livan, M. Marsili, M. Peressi, E. Vesselli et al., On the concentration of large deviations for fat tailed distributions, with application to financial data, Journal of Statistical Mechanics: Theory and Experiment, vol.2014, issue.9
DOI : 10.1088/1742-5468/2014/09/P09030

Z. Burda, D. Johnston, J. Jurkiewicz, M. Kami´nskikami´nski, M. A. Nowak et al., Wealth condensation in pareto macroeconomies, Physical Review E, vol.542, issue.2
DOI : 10.1016/S0550-3213(98)00842-6
URL : http://arxiv.org/abs/cond-mat/0101068

B. K. Chakrabarti, A. Chakraborti, S. R. Chakravarty, and A. Chatterjee, Econophysics of income and wealth distributions
DOI : 10.1017/CBO9781139004169

. Fournier, Generalized Pareto curves: Theory and application using income and inheritance tabulations for France 1901- 2012, Master's thesis, Paris School of Economics, 2015.

D. Feenberg and J. Poterba, Income Inequality and the Incomes of Very High Income Taxpayers: Evidence from Tax Returns, National Bureau of Economic Research, pp.10-3386, 1992.

K. Murray, S. Müller, and B. A. Turlach, Fast and flexible methods for monotone polynomial fitting, Journal of Statistical Computation and Simulation, vol.45, issue.2
DOI : 10.1520/JFS2004211

P. Bialas, Z. Burda, and D. Johnston, Condensation in the Backgammon model, Nuclear Physics B, vol.493, issue.3, pp.505-51610, 1997.
DOI : 10.1016/S0550-3213(97)00192-2

M. Filiasi, E. Zarinelli, E. Vesselli, and M. Marsili, Condensation phenomena in fat-tailed distributions: a characterization by means of an order parameter, ArXiv e-prints

J. Szavits-nossan, M. R. Evans, and S. N. Majumdar, Condensation transition in joint large deviations of linear statistics, Journal of Physics A: Mathematical and Theoretical, vol.47, issue.45
DOI : 10.1088/1751-8113/47/45/455004
URL : https://hal.archives-ouvertes.fr/hal-01087779

Z. B. Zabinsky and R. L. Smith, Encyclopedia of Operations Research and Management Science, pp.721-729978

W. Shao, G. Guo, F. Meng, and S. Jia, An efficient proposal distribution for Metropolis?Hastings using a B-splines technique, Computational Statistics & Data Analysis, vol.57, issue.1

T. Tervonen, G. Van-valkenhoef, N. Ba¸stürkba¸stürk, and D. Postmus, Hit-And-Run enables efficient weight generation for simulation-based multiple criteria decision analysis, European Journal of Operational Research, vol.224, issue.3
DOI : 10.1016/j.ejor.2012.08.026

M. Filiasi, E. Marsili, and Z. Vesselli, Condensation Transition in Fat-Tailed Distributions: a Characterization by Means of an Order Parameter, Tech. rep. URL https, p.7795

S. J. Wiback, I. Famili, H. J. Greenberg, and B. Palsson, Monte Carlo sampling can be used to determine the size and shape of the steady-state flux space, Journal of Theoretical Biology, vol.228, issue.4, pp.437-447, 2004.
DOI : 10.1016/j.jtbi.2004.02.006

A. Braunstein, R. Mulet, and A. Pagnani, Estimating the size of the solution space of metabolic networks, BMC Bioinformatics, vol.9, issue.1, 2008.
DOI : 10.1186/1471-2105-9-240

F. Capuani, D. De-martino, E. Marinari, and A. D. Martino, Quantitative constraint-based computational model of tumorto-stroma coupling via lactate shuttle, Scientific Reports, vol.5, issue.1, 11880.

A. Martino, D. De-martino, R. Mulet, and A. Pagnani, Identifying All Moiety Conservation Laws in Genome-Scale Metabolic Networks, PLoS ONE, vol.34, issue.7
DOI : 10.1371/journal.pone.0100750.s002

A. D. Martino, C. Martelli, R. Monasson, and I. P. Castillo, Von Neumann's expanding model on random graphs Journal of Statistical Mechanics: Theory and Experiment, pp.5012-05012, 2007.

G. Bianconi, Flux distribution of metabolic networks close to optimal biomass production, Physical Review E, vol.3, issue.3, p.35101, 2008.
DOI : 10.1103/PhysRevLett.80.1457

A. Seganti, A. De-martino, and F. Ricci-tersenghi, Boolean constraint satisfaction problems for reaction networks Journal of Statistical Mechanics: Theory and Experiment 2013 (09) (2013) P09009

K. Anand and T. Galla, Stability and dynamical properties of material flow systems on random networks, The European Physical Journal B, vol.68, issue.4, pp.2009-00106, 2009.
DOI : 10.1140/epjb/e2009-00106-7

G. Garbinti and P. , Income Inequality in France, Evidence from Distributional National Accounts (DINA), Tech. rep., WID, 1900.