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London School of Economics

1. Mariolis, Theodore & Konstantakis, Konstantinos N. & Michaelides, Panayotis G. & Tsionas, Efthymios G., 2019. "A non-linear Keynesian Goodwin-type endogenous model of the cycle: Bayesian evidence for the USA," LSE Research Online Documents on Economics 100229, London School of Economics and Political Science, LSE Library.
2. Michaelides, Panayotis G. & Tsionas, Efthymios G. & Konstantakis, Konstantinos N., 2018. "Debt dynamics in Europe: a network general equilibrium GVAR approach," LSE Research Online Documents on Economics 86865, London School of Economics and Political Science, LSE Library.
3. Tsionas, Efthymios G. & Tran, Kien C. & Michaelides, Panayotis G., 2017. "Bayesian inference in threshold stochastic frontier models," LSE Research Online Documents on Economics 86848, London School of Economics and Political Science, LSE Library.
4. Konstantakis, Konstantinos N. & Papageorgiou, Theofanis & Christopoulos, Apostolos G. & Dokas, Ioannis G. & Michaelides, Panayotis G., 2017. "Business cycles in Greek maritime transport: an econometric exploration (1998–2015)," LSE Research Online Documents on Economics 83540, London School of Economics and Political Science, LSE Library.
5. Konstantakis, Konstantinos N. & Michaelides, Panayotis G., 2017. "Does technology cause business cycles in the USA? A Schumpeter-inspired approach," LSE Research Online Documents on Economics 80760, London School of Economics and Political Science, LSE Library.
6. Tsionas, Mike G. &Michaelides, Panayotis G., 2017. "Neglected chaos in international stock markets: Bayesian analysis of the joint return–volatility dynamical system," LSE Research Online Documents on Economics 80749, London School of Economics and Political Science, LSE Library.
7. Konstantakis, Konstantinos N. & Soklis, George & Michaelides, Panayotis G., 2017. "Tourism expenditures and crisis transmission: a general equilibrium GVAR analysis with network theory," LSE Research Online Documents on Economics 83531, London School of Economics and Political Science, LSE Library.
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