TY - GEN
T1 - Firm size distribution in oblivious equilibrium model with quality ladder
AU - Murao, Tetsushi
PY - 2014
Y1 - 2014
N2 - In this article, we investigate a simulated firm size distribution in the model of Weintraub, Benkard, and Van Roy (Operations Research, 2010) which is a oblivious equilibrium (OE) model with a canonical quality ladder setting of Pakes and McGuire (Rand Journal of Economics, 1994). In previous research, validity of applying an OE model in a specific context have been assessed in two aspects: (i) how precisely the OE could replicate the MPE outcomes (lighttail condition); and (ii) whether restricting agents' information (so does strategy) could be reasonable. In contrast, we propose a new criterion for the validity of OE models: whether equilibria could replicate power law of firm size distribution that is typically observed in real world data. We find that, as the quality depreciation probability or the investment cost becomes higher, the distribution comes closes to power law. On the other hand, the entry cost have virtually no impacts on the curvature of log-log plots.
AB - In this article, we investigate a simulated firm size distribution in the model of Weintraub, Benkard, and Van Roy (Operations Research, 2010) which is a oblivious equilibrium (OE) model with a canonical quality ladder setting of Pakes and McGuire (Rand Journal of Economics, 1994). In previous research, validity of applying an OE model in a specific context have been assessed in two aspects: (i) how precisely the OE could replicate the MPE outcomes (lighttail condition); and (ii) whether restricting agents' information (so does strategy) could be reasonable. In contrast, we propose a new criterion for the validity of OE models: whether equilibria could replicate power law of firm size distribution that is typically observed in real world data. We find that, as the quality depreciation probability or the investment cost becomes higher, the distribution comes closes to power law. On the other hand, the entry cost have virtually no impacts on the curvature of log-log plots.
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U2 - 10.1007/978-3-319-07593-8_13
DO - 10.1007/978-3-319-07593-8_13
M3 - Conference contribution
AN - SCOPUS:84906053456
SN - 9783319075921
T3 - Advances in Intelligent Systems and Computing
SP - 99
EP - 106
BT - Distributed Computing and Artificial Intelligence, 11th International Conference, DCAI 2014
PB - Springer Verlag
T2 - 11th International Symposium on Distributed Computing and Artificial Intelligence 2014, DCAI 2014
Y2 - 4 June 2014 through 6 June 2014
ER -