It is often desired to rank different populations according to the value of some feature of each population. For example, it may be desired to rank neighborhoods according to some measure of intergenerational mobility or countries according to some measure of academic achievement. These rankings...

This paper assesses the quality of the statistical matching used in the LIMTIP estimates for Italy for 2008 and 2014. The match combines the 2008-9 and 2013-14 Italian Time Use Survey (IT-TUS) with the Italian data collected for the European Survey on Income and Living Conditions (IT-SILC) in...

This paper presents a description of the quality of match of the statistical matches used in the LIMTCP estimates prepared for Ethiopia and South Africa. For Ethiopia, the statistical match combines the Ethiopian Socio-economic Survey-Wave 3-2015/2016 (ESS) with the Ethiopian Time Use Survey...

It is often desired to rank different populations according to the value of some feature of each population. For example, it may be desired to rank neighborhoods according to some measure of intergenerational mobility or countries according to some measure of academic achievement. These rankings...

It is often desired to rank different populations according to the value of some feature of each population. For example, it may be desired to rank neighborhoods according to some measure of intergenerational mobility or countries according to some measure of academic achievement. These rankings...

It is common to rank different categories by means of preferences that are revealed through data on choices. A prominent example is the ranking of political candidates or parties using the estimated share of support each one receives in surveys or polls about political attitudes. Since these...

It is often desired to rank different populations according to the value of some feature of each population. For example, it may be desired to rank neighborhoods according to some measure of intergenerational mobility or countries according to some measure of academic achievement. These rankings...

The quality of match of the statistical match used in the LIMTIP estimates for South Korea in 2009 is described. The match combines the 2009 Korean Time Use Survey (KTUS 2009) with the 2009 Korean Welfare Panel Study (KWPS 2009). The alignment of the two datasets is examined, after which various...

This paper describes the quality of the statistical matching between the March 2011 supplement to the Current Population Survey and the 2010 American Time Use Survey and Survey of Consumer Finances, which are used as the basis for the 2010 LIMEW estimates for the United States. In the first part...