Gibrat's Law for (All) Cities: Comment
指出，Jan Eeckhout（2004）认为城市规模分布符合对数正态分布，但作者发现最大的0.6%城市（占总人口23%以上）显著偏离对数正态，遵循幂律分布，这种混合分布与吉布拉定律不一致，其成因仍是未解之谜。
Jan Eeckhout (2004) reports that the empirical city size distribution is lognormal, consistent with Gibrat's Law. We show that for the top 0.6 percent of the largest cities, the empirical distribution is dramatically different from the lognormal, and follows a power law. This top part is extremely important as it accounts for more than 23 percent of the population. The empirical hybrid lognormal-power-law distribution revealed may be characteristic of other key distributions, such as the wealth distribution and the income distribution. This distribution is not consistent with a simple Gibrat proportionate effect process, and its origin presents a puzzle yet to be answered.