This paper uses data from the Greater Avenues for Independence (GAIN) demonstration to discuss the evaluation of programs that are implemented at multiple sites. Two frequently used methods are pooling the data or using fixed effects (an extreme version of which estimates separate models for...

Although a growing theoretical literature points to credit constraints asan important source of inefficiently high child labor, little work has been done to assess its empirical relevance. Using panel data from Tanzania, the authors find that households respond to transitory income shocks by...

Using four rounds of panel household data from the Kagera region of Tanzania, we show that transitory income shocks ¨C measured by the value of crop lost by farming households ¨C lead to significantly increased child labor. A one standard deviation increase in the shock is associated with a...

Even though access to credit is central to child labor theoretically, little work has been done to assess its importance empirically. Dehejia and Gatti examine the link between access to credit and child labor at a cross-country level. The authors measure child labor as a country aggregate, and...

This paper exploits a unique longitudinal data set from Tanzania to examine the consequences of child labor on education, employment choices, and marital status over a 10-year horizon. Shocks to crop production and rainfall are used as instrumental variables for child labor. For boys, the...

This paper considers causal inference and sample selection bias in nonexperimental settings in which (i) few units in the nonexperimental comparison group are comparable to the treatment units, and (ii) selecting a subset of comparison units similar to the treatment units is difficult because...

This paper examines the relationship between child labor and access to credit at a crosscountry level. Even though this link is theoretically central to child labor, so far there has been little work done to assess its importance empirically. We measure child labor as a country aggregate, and...

This paper considers causal inference and sample selection bias in non-experimental settings in which: (i) few units in the non-experimental comparison group are comparable to the treatment units; and (ii) selecting a subset of comparison units similar to the treatment units is difficult because...