# **Supplementary Appendix (for online publication only)**

# **<u>Contents</u>**

|**Appendix S1. Alternative price indices**................................................................................................... 23|
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|**Table S1.1 Correlations between different domestic and international price indices**.................... 24|
|**Appendix S2. Robustness tests for the poverty-food price regressions**................................................ 25|
|**Table S2.1 Re-estimating the core results with the robust regressor**............................................... 25|
|**Table S2.2 Arellano-Bond dynamic GMM regressions of the $1.25/day poverty headcount against**<br>**food prices under different survey gaps**.............................................................................................. 26|
|**Table S2.3 Arellano-Bond dynamic GMM regressions of the $2/day poverty headcount against**<br>**food prices under different survey gaps**.............................................................................................. 27|
|**Table S2.4 $1.25/day and $2/day OLS and IV GMM results after restricting the sample to more**<br>**recent poverty observations (ending in 2003 or later)**....................................................................... 28|
|**Table S2.5 OLS and IV-GMM regression results for the $1.25/day poverty headcount after**<br>**removing one major region at a time**.................................................................................................. 29|
|**Table S2.6 Estimating the effects of percentage changes in domestic food prices on changes in the**<br>**$1.25/day poverty headcount for different gaps between successive poverty observations**........... 30|
|**Table S2.7 Adding control variables to the least squares regression model for $1.25/day poverty**<br>**headcounts**............................................................................................................................................. 31|
|**Table S2.8 Adding control variables to the IV-GMM model for changes in $1.25/day poverty**<br>**headcounts**............................................................................................................................................. 32|
|**Appendix S3. Additional results on supply and wage responses**.......................................................... 33|
|**Figure S3.1 International prices and production indices in major countries and regions, 2000-**<br>**2012**........................................................................................................................................................ 33|
|**Table S3.1 Testing the sensitivity of growth in crop production to international prices under**<br>**various sample restrictions (IV GMM)**............................................................................................... 34|
|**Table S3.2 Least squares regressions of the agricultural supply response to changes in domestic**<br>**food prices changes**............................................................................................................................... 35|
|**Appendix S4. Time series estimates of wage responses to rice price increases in Bangladesh**.......... 36|
|**Table S4.1 Dickey-Fuller test for unit roots (McKinnon approximate p-values)**............................ 36|
|**Table S4.2 OLS auto distributed lag (ADL) estimates for changes in rural and urban wages as a**<br>**function of changes in rice prices**......................................................................................................... 36|
|**Appendix S5. Characteristics of the POVCAL sample**......................................................................... 38|
|**Table S5.1 List of poverty changes from the World Bank (2013) used in the statistical analysis**. 38|
|**Figure S5.1 Histogram of the duration of gaps between POVCAL surveys**.................................... 45|

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