This study presents a methodology to predict the child poverty impact of COVID-19 that can be readily applied in other country contexts where similar household data are available—and illustrates this case using data from Turkey. Using Household Budget Survey 2018, the microsimulation model estimates the impact of labour income loss on household expenditures, considering that some types of jobs/sectors may be more vulnerable than others to the COVID-19 shock. Labour income loss is estimated to lead to reductions in monthly household expenditure using an income elasticity model, and expenditure-based child poverty is found to increase in Turkey by 4.9–9.3 percentage points (depending on shock severity) from a base level of 15.4%. Among the hypothetical cash transfer scenarios considered, the universal child grant for 0–17 years old children was found to have the highest child poverty reduction impact overall, while schemes targeting the bottom 20–30% of households are more cost-effective in terms of poverty reduction. The microsimulation model set out in this paper can be readily replicated in countries where similar Household Budget Surveys are available.