Session-specific features of a laboratory experiment, if those exist, do not disappear by clustering standard errors at the session level. Randomly ordering sessions, which is crucial to deal with sampling issues, cannot justify clustering the standard errors at the session level. The...

Budget credibility, or the ability of governments to accurately forecast macro-fiscal variables, is crucial for effective public finance management. Fiscal marksmanship analysis captures the extent of errors in the budgetary forecasting. The fiscal rules can determine fiscal marksmanship, as...

Researchers are often interested in the relationship between two variables, with no single data set containing both. A common strategy is to use proxies for the dependent variable that are common to two surveys to impute the dependent variable into the data set containing the independent...

Measuring occupational mobility from the Current Population Survey using recall (retrospective) or linked panel responses (longitudinal) generates substantially different outcomes, both in levels and trends. Using a generalized method of moments technique, we estimate the actual level of...

Realistic poverty assessments necessitate high-quality household survey data. Such data provide the foundation for designing sound policies to sustainably reduce poverty. Despite of this, welfare measures from household surveys are often plagued by non-sampling errors in the form of non-response...