This paper develops a machine-learning method that allows researchers to estimate heterogeneous treatment effects with panel data in a setting with many covariates. Our method, which we name the dynamic causal forest (DCF) method, extends the causal-forest method of Wager and Athey (2018) by...

Despite a broad consensus on the need to take into account the value of public services and geographical cost of living differences when measuring poverty, there is little reliable evidence on how these factors actually affect poverty estimates. Unlike the standard approach in studies of the...

Despite a broad consensus on the need to take into account the value of public services and geographical cost of living differences when measuring poverty, there is little reliable evidence on how these factors actually affect poverty estimates. Unlike the standard approach in studies of the...

Despite a broad consensus on the need to take into account the value of public services in distributional analysis, there is little reliable evidence on how the inclusion of such non-cash income actually affects poverty and inequality estimates. In particular, the equivalence scales applied to...

When private goods are publicly provided at subsidized prices, government authorities have to determine the distribution of services on recipients. The distribution of services according to need is frequently referred to as an important policy goal. Thus governments are assumed to develop...

Despite a broad consensus on the need to take into account the value of public services in distributional analysis, there is little reliable evidence on how inclusion of such non-cash income actually affects poverty and inequality estimates. In particular, the equivalence scales applied to cash...