| Agricultural Land ownership: Treatment of Zero values [message #19270] | 
			Tue, 19 May 2020 17:28   | 
		 
		
			
				
				
				
					
						  
						Indu
						 Messages: 1 Registered: May 2020 
						
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		Hello! 
 
I am working on a project to understand the distribution of agricultural land ownership in different countries and have come across a lot of zero values for a few countries in the DHS, even while the HHSD reports yes to owning some land. 
 
(example dataset: Bangaladesh: BDHR72FL.DTA) 
The relevant variables of interest are hv244 (Binary Y/N response to owning agricultural land) and hv245 (variable capturing the area of land(ha.) owned if hv244 == Y). A basic (unweighted) tabulation of these variables gives us the following: 
 
Year----Total sample HHSD------"Yes" to owning land----------Land (ha) == 0 
    2007----10,400------------------------4,823----------------- ---3,055 
    2011----17,141------------------------7,839----------------- ---4,857 
    2014----17,300------------------------7,735----------------- ---5,019 
 
The table above shows that about 50% of the households who report yes to owning some land in hv244, report the area of land owned to be zero.  
 
[Although the table here is only for Bangladesh, we have encountered a similar problem in other Asian (eg. Nepal) and Latin American (eg. Haiti) countries as well.] 
 
What should be the right approach to correct for the situation and capture the area owned by such households? 
 
I understand that the variable label for 2011 and 2014 (Bangladesh) specifies that values are given in one decimal so we divide other values by 10, but I am not sure how to treat these zero values. 
 
Thanks in advance.
		
		
		[Updated on: Tue, 19 May 2020 17:30] Report message to a moderator  
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