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Question

A council installs a new appointment-booking system in East district at the start of period 1. West district will receive it later, at the start of period 3. The table gives average waiting times (minutes) in three observation periods; West has not yet received the system in any shown period:

Period −1: East 22, West 14.
Period 0: East 23, West 16.
Period 2: East 18, West 20.

An announcement about East's installation may already affect East in period 0. Suppose the untreated mean in each district is a district constant plus a time shock common to both districts, and allow East additionally to have a district-specific linear trend \(\delta\) per period. The system changes East's waiting time by a constant \(\tau\) from period 1 onward, while an anticipation effect a applies in period 0 only. West has neither effect before period 3.

Calculate the usual difference-in-differences (DiD) contrast using periods 0 and 2. Express that contrast and the earlier −1-to-0 placebo contrast in terms of \(\tau\), \(\delta\) and a. What treatment effect would you infer if \(\delta=0\) and \(a=-1\)? Give a different \((\delta,a,\tau)\) triple consistent with the same data, and explain what the pre-period check can and cannot establish.

Hint 1

For each contrast, subtract West's change from East's change. The period-0 observation is not necessarily an untreated East baseline because anticipation may already operate.

Write \(E_t=\mu_E+\lambda_t+\delta t+a\cdot\mathbf{1}\{t=0\}+\tau\cdot\mathbf{1}\{t\ge1\}\), \(W_t=\mu_W+\lambda_t\) for shown periods. Substitute \(t=-1,0,2\) in both DiD calculations.

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