“…This model reads as Y = ρWY + Xβ + ε, where Y is an N × 1 vector of the dependent variable; W is an N × N spatial weight matrix; ρ is the SAR coefficient; X is an N × K matrix of explanatory variables; β is a K × 1 vector of corresponding parameters to be estimated; and ε is an N × 1 vector of error terms with mean 0 and variance σ 2 . The next four papers in this issue by Iwata, Sumita, and Fujisawa (2018, in Using transaction price data of residential condos in central Tokyo, Iwata et al (2018, in this issue) investigate whether or not a real estate firm can avoid price competition when its market power is high or when it cooperates with other firms (allies) in the vicinity. To do this, they estimate an SAR model extended to contain an exogenous variable θ with parameter γ measuring the share of an ally's properties.…”