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Because there is no sample selection in regard to unobservables, the remittance level model can be estimated by uncorrected OLS using the sample of positive remitters (see Wooldridge 2010 pp. 805-6).
Once the migrant decides to remit money home, s/he has to choose how much money to send, as described by the following equation: Remittance level: R irt | D irt * = α 2 + X irt β 2 + Y irt γ 2 + u i * Y irt ϕ 2 + δ r + θ t + δ r * t + ν irt, where : ν irt ~ N μ, σ 2 I (5).
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The United Arab Emirates and Kuwait had remittance outflows of $8.7 billion and $11.7 billion, respectively, that year, holding top-ten spots for global remittance levels.
To properly assess the socio-economic issues of migration and analyze the causes of changes in remittance levels, it is certainly interesting to conduct an analysis of the determinants of individual behavior.
The view here is that the actual amount remitted to the household of origin trumps any reason for siblings remitting (Antman op. cit)., hence the assumption that the behaviour of the individual responds to the remittance levels of other siblings and not directly to their characteristics.
Nurse households are not significantly different in terms of how this variable affects their remittance levels.
Remittance levels are reported here using two different bases: a "Sample Average" and a "Remitters' Average".
These data are then shown plotted in Figures 1 and 2, where Figure 1 shows the time profile of remitting households and remittance levels while Figure 2 shows the time profile of income, remittance levels, and average propensities to remit.
Again there is a convergence of remittance levels once the migrant has been away 20 or more years.
It is possible that the remittance levels of the different time cohorts are influenced by compositional effects.
Thus for overseas Pakistanis, where the probability of returning was extremely high, remittance levels did not decline [ 38].
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