Dear all,
I need to investigate the allocation of U.S. foreign aid. More specifically, the rationale is to check the determinants of U.S aid allocation that a recipient country receives. For this purpose, I have a panel dataset of 100 foreign aid-recipient countries over 2000-2015. The dependent variable has large number of zeros i.e., most countries in the panel doesn’t receive U.S aid in all the years. Due to large amount of zero observations as well as the decision of US whether to allocate aid or not, if allocated, how much money to give, I intend to use either a Heckman sample selection model or Poisson Pseudo Maximum likelihood (PPML) Given this background, I have three questions:
First is there any statistical test in Stata to compare between Heckman sample selection model vs PPML?
Second, how to test the assumptions of the two models?
Third, I believe that the U.S decision is not sequential i.e., it does not sequentially first decide whether to allocate aid and then decide whether to give or not. Rather the two decisions are determined simultaneously. In this scenario of non-sequential decisions, will Heckman sample selection be appropriate? I am actually indifferent about testing the first step i.e., whether the aid is allocated or not as my main interest lies in testing how much amount is given.
Looking forward to your response.
Best regards,
Imran Khan.
I need to investigate the allocation of U.S. foreign aid. More specifically, the rationale is to check the determinants of U.S aid allocation that a recipient country receives. For this purpose, I have a panel dataset of 100 foreign aid-recipient countries over 2000-2015. The dependent variable has large number of zeros i.e., most countries in the panel doesn’t receive U.S aid in all the years. Due to large amount of zero observations as well as the decision of US whether to allocate aid or not, if allocated, how much money to give, I intend to use either a Heckman sample selection model or Poisson Pseudo Maximum likelihood (PPML) Given this background, I have three questions:
First is there any statistical test in Stata to compare between Heckman sample selection model vs PPML?
Second, how to test the assumptions of the two models?
Third, I believe that the U.S decision is not sequential i.e., it does not sequentially first decide whether to allocate aid and then decide whether to give or not. Rather the two decisions are determined simultaneously. In this scenario of non-sequential decisions, will Heckman sample selection be appropriate? I am actually indifferent about testing the first step i.e., whether the aid is allocated or not as my main interest lies in testing how much amount is given.
Looking forward to your response.
Best regards,
Imran Khan.
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