to employment, wages, prices and household well-being. The meta-analysis finds that most results on employment and wages … are non-significant. When significant, decreases in employment and wages are more likely to occur than increases with …

transmission. We offer the first study that examines the effects of the COVID-19-induced lockdown on various employment outcomes … rate, the temporary layoff rate, and decreases the quality of employment. It also reduces workers' numbers of working hours …

Household consumption surveys do not typically cover refugee populations, and poverty estimates for refugees are rare …. This paper tests the performance of cross-survey imputation methods to estimate poverty for a sample of refugees in Chad … consumption data. This result is robust to different poverty lines, sets of regressors, and modeling assumptions of the error term …

There is an increasingly stronger demand for more frequent and accurate poverty estimates, despite the oftentimes … unavailable household consumption data. We offer a review of alternative imputation methods that have been employed to provide … poverty estimates in such contexts. These range from estimates on a nonmonetary basis, estimates for specific project …

educational achievement, poverty, and asset wealth. Yet, within-country spatial heterogeneity exists, with certain models …Household consumption data are often unavailable, not fully collected, or incomparable over time in poorer countries …. Survey-to-survey imputation has been increasingly employed to address these data gaps for poverty measurement, but its …

demonstrating that survey-to-survey imputation can fill consumption data gaps and provide low-cost and reliable poverty estimates …Survey data on household consumption are often unavailable or incomparable over time in many low- and middle …. Basic imputation models featuring utility expenditures, together with a modest set of predictors on demographics, employment …

We offer a review of methods that have been employed to provide poverty estimates of poverty in contexts where … household consumption data are unavailable or missing. These contexts range from completely missing and partially missing … consumption data in cross sectional household surveys, to missing panel household data. We focus on methods that aim to compare …

Measuring poverty trends and dynamics is an important undertaking for poverty reduction policies, which is further … highlighted by the SDG goal 1 on eradicating poverty by 2030. We provide a broad overview of the pros and cons of poverty … review two common uses of poverty imputation methods that aim at tracking poverty over time and estimating poverty dynamics …

Accurate poverty measurement relies on household consumption data, but such data are often inadequate, outdated or … to produce estimates for several poverty indicators including headcount poverty, extreme poverty, poverty gap, near-poverty … rates, as well as mean consumption levels and the entire consumption distribution. Analyzing 22 multi-topic household …