exposure_list {optic}

Applies a time-varying treatment effect

Description

Simulates a time-varying treatment effect that starts at zero in time period zero, then linearly increases to a 'full treatment' effect, based on analyst-provided choices concerning time until full treatment effect and 'speed'

Usage

exposure_list(
  sampled_time_period,
  mo,
  available_periods,
  policy_speed,
  n_implementation_periods
)

Arguments

sampled_time_period

Year that treatment is first enacted

mo

Month that treatment is first enacted

available_periods

Maximum number of time periods in the data (e.g. if policy is between 1950-2000, then available_periods == 50)

policy_speed

A string which is either "instant" for the policy going into immediate effect or "slow" for the policy effect phasing in linearly across n_implement_periods

n_implementation_periods

Number of periods until full treatment effect is applied. Only used if policy_speed is 'slow'.

Value

A list, containing a vector of policy years of implementation, an integer of the starting policy implementation month, and the effect of treatment within a given implementation year (as a fraction of the total policy effect)

Examples

# Set up a policy that starts in first-year of data, in July and takes 
# 2 years for full implementation:
exposure_list(1, 7, 3, policy_speed = 'slow', n_implementation_periods = 2)

# Same scenario but effect happens instantaneously:
exposure_list(1, 7, 3, policy_speed = 'instant')