Minimum detectable effect size for main outcomes (accounting for sample
design and clustering)
Power Calculations
Power calculations for some outcomes of interest are based on the results of the June wave of the 2014 pilot. Calculations of minimum detectable effects assume 10%, 5% or 1% statistical significance, 80% statistical power, a sample size of 5,000 farmers, 50% of non-response rate (also based on the average for the 2014 pilot) and 50% random assignment to priming about rainfall (a crucial element of the experiments). Given these parameters, minimum detectable effects (in absolute value) are given by:
|MDE|=(t_(1-κ)+t_alpha ) √(σ^2/p(1-p) x 4/NxW) ,
Where t_(1-κ) is the t-statistic associated with confidence level 1-κ, t_α is the t-statistic associated with power α, σ is the standard deviation of the effect, p is the proportion of the 5, observations in the treatment group, N is the number of observations, and W is the number of waves. The term 4/NxW incorporates the 50% non-response rate and the 50% random assignment to priming about rainfall, which divide the effective number of observations by a factor of 4.
Tables 1 to 3 present computations for the outcomes that most resemble the ones we would like to include the 2015 design, under 10%, 5% and 1% significance levels. Table 4 presents the details of the computations for one of the outcomes as an example.
Table 1 – Minimum detectable effects (absolute value) under 10% significance
(A) Two waves Minimum Detectable Effect (absolute value)
June
coefficient June
std. dev. Average T = 1250 T = 1125 T = 1000 T = 875 T = 750 T = 625 T = 500 T = 375 T = 250
Cognitive tasks Digit span 0.13 0.09 0.24 0.035 0.036 0.038 0.040 0.042 0.046 0.050 0.057 0.069
Stroop 0.01 0.08 0.19 0.032 0.033 0.034 0.036 0.038 0.041 0.046 0.052 0.063
Garbled words 0.06 0.13 0.18 0.041 0.043 0.045 0.047 0.050 0.054 0.060 0.068 0.082
Price recall Beans (Week 1) -0.11 0.11 0.31 0.038 0.039 0.041 0.043 0.046 0.049 0.054 0.062 0.075
Corn (Week 1) -0.08 0.11 0.29 0.039 0.040 0.042 0.044 0.047 0.050 0.056 0.063 0.077
Goat (Week 1) 0.02 0.08 0.16 0.033 0.034 0.035 0.037 0.040 0.043 0.047 0.054 0.065
(B) Five waves Minimum Detectable Effect (absolute value)
June
coefficient June
std. dev. Average T = 1250 T = 1125 T = 1000 T = 875 T = 750 T = 625 T = 500 T = 375 T = 250
Cognitive tasks Digit span 0.13 0.09 0.24 0.022 0.023 0.024 0.025 0.027 0.029 0.032 0.036 0.044
Stroop 0.01 0.08 0.19 0.020 0.021 0.022 0.023 0.024 0.026 0.029 0.033 0.040
Garbled words 0.06 0.13 0.18 0.026 0.027 0.028 0.030 0.032 0.034 0.038 0.043 0.052
Price recall Beans (Week 1) -0.11 0.11 0.31 0.024 0.025 0.026 0.027 0.029 0.031 0.034 0.039 0.047
Corn (Week 1) -0.08 0.11 0.29 0.024 0.025 0.026 0.028 0.030 0.032 0.035 0.040 0.048
Goat (Week 1) 0.02 0.08 0.16 0.021 0.021 0.022 0.024 0.025 0.027 0.030 0.034 0.041
Table 2 – Minimum detectable effects (absolute value) under 5% significance
(A) Two waves Minimum Detectable Effect (absolute value)
June
coefficient June
std. dev. Average T = 1250 T = 1125 T = 1000 T = 875 T = 750 T = 625 T = 500 T = 375 T = 250
Cognitive tasks Digit span 0.13 0.09 0.24 0.039 0.041 0.043 0.045 0.048 0.052 0.057 0.065 0.078
Stroop 0.01 0.08 0.19 0.036 0.037 0.039 0.041 0.043 0.047 0.051 0.059 0.071
Garbled words 0.06 0.13 0.18 0.047 0.048 0.050 0.053 0.057 0.061 0.067 0.077 0.093
Price recall Beans (Week 1) -0.11 0.11 0.31 0.043 0.044 0.046 0.048 0.052 0.056 0.061 0.070 0.084
Corn (Week 1) -0.08 0.11 0.29 0.043 0.045 0.047 0.050 0.053 0.057 0.063 0.071 0.086
Goat (Week 1) 0.02 0.08 0.16 0.037 0.038 0.040 0.042 0.045 0.048 0.053 0.061 0.073
(B) Five waves Minimum Detectable Effect (absolute value)
June
coefficient June
std. dev. Average T = 1250 T = 1125 T = 1000 T = 875 T = 750 T = 625 T = 500 T = 375 T = 250
Cognitive tasks Digit span 0.13 0.09 0.24 0.025 0.026 0.027 0.028 0.030 0.033 0.036 0.041 0.049
Stroop 0.01 0.08 0.19 0.023 0.023 0.024 0.026 0.027 0.030 0.033 0.037 0.045
Garbled words 0.06 0.13 0.18 0.029 0.031 0.032 0.034 0.036 0.039 0.043 0.048 0.059
Price recall Beans (Week 1) -0.11 0.11 0.31 0.027 0.028 0.029 0.031 0.033 0.035 0.039 0.044 0.053
Corn (Week 1) -0.08 0.11 0.29 0.027 0.029 0.030 0.031 0.033 0.036 0.040 0.045 0.055
Goat (Week 1) 0.02 0.08 0.16 0.023 0.024 0.025 0.027 0.028 0.030 0.034 0.038 0.046
Table 3 – Minimum detectable effects (absolute value) under 1% significance
(A) Two waves Minimum Detectable Effect (absolute value)
June
coefficient June
std. dev. Average T = 1250 T = 1125 T = 1000 T = 875 T = 750 T = 625 T = 500 T = 375 T = 250
Cognitive tasks Digit span 0.13 0.09 0.24 0.048 0.050 0.052 0.055 0.058 0.063 0.069 0.079 0.096
Stroop 0.01 0.08 0.19 0.044 0.045 0.047 0.050 0.053 0.057 0.063 0.072 0.086
Garbled words 0.06 0.13 0.18 0.057 0.059 0.062 0.065 0.069 0.075 0.082 0.094 0.113
Price recall Beans (Week 1) -0.11 0.11 0.31 0.052 0.054 0.056 0.059 0.063 0.068 0.075 0.085 0.103
Corn (Week 1) -0.08 0.11 0.29 0.053 0.055 0.057 0.061 0.064 0.070 0.077 0.087 0.105
Goat (Week 1) 0.02 0.08 0.16 0.045 0.047 0.049 0.051 0.055 0.059 0.065 0.074 0.089
(B) Five waves Minimum Detectable Effect (absolute value)
June
coefficient June
std. dev. Average T = 1250 T = 1125 T = 1000 T = 875 T = 750 T = 625 T = 500 T = 375 T = 250
Cognitive tasks Digit span 0.13 0.09 0.24 0.030 0.032 0.033 0.035 0.037 0.040 0.044 0.050 0.060
Stroop 0.01 0.08 0.19 0.028 0.029 0.030 0.031 0.033 0.036 0.040 0.045 0.055
Garbled words 0.06 0.13 0.18 0.036 0.037 0.039 0.041 0.044 0.047 0.052 0.059 0.072
Price recall Beans (Week 1) -0.11 0.11 0.31 0.033 0.034 0.036 0.037 0.040 0.043 0.047 0.054 0.065
Corn (Week 1) -0.08 0.11 0.29 0.034 0.035 0.036 0.038 0.041 0.044 0.048 0.055 0.067
Goat (Week 1) 0.02 0.08 0.16 0.028 0.030 0.031 0.032 0.035 0.037 0.041 0.047 0.057
Table 4 – Example for Digit Span (Week 2) under 1% significance
Control group (Uninsured) Insured Insured Insured Insured Insured Insured Insured Insured Insured
5000 - Insured 1250 1125 1000 875 750 625 500 375 250
Waves 2 2 2 2 2 2 2 2 2
t_(1-κ) 2.58 2.58 2.58 2.58 2.58 2.58 2.58 2.58 2.58
t_α 0.84 0.84 0.84 0.84 0.84 0.84 0.84 0.84 0.84
p 0.25 0.225 0.2 0.175 0.15 0.125 0.1 0.075 0.05
σ 0.0926 0.0926 0.0926 0.0926 0.0926 0.0926 0.0926 0.0926 0.0926
MDE 0.048 0.050 0.052 0.055 0.058 0.063 0.069 0.079 0.096
Under 10% and 5% significance, both the two- and five-wave designs would be able to detect the effects for Digit span, Garbled words, and price recall of beans and corn. The five-wave design would be very close to detecting the effect of the treatment on recall of goat average prices. Under 1% significance, the two-wave design would no longer be able to detect the effect of the treatment on the score of Garbled words, while the five-wave design would still be able to detect it.
None of the two designs would be able to detect the effect of the treatment on Stroop scores in week 1 or on recall of goat prices in week 2. Having said that, the estimated effects for the June wave were very small, so it might as well be that such effects are not statistically significant after the planting stage, when uncertainty about rainfall has been resolved. As an illustration, we estimated a four-fold effect of the treatment on stoop scores in the March wave.
It follows that the number of waves is binding in this design in what comes to detecting the effects of interest, particularly with respect to Garbled words, the one task representing the “focus dividend” of tunneling in our 2014 pilot.