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Many want to start their own blog to learn, to share, to interact, etc. Majority open the blog with the hidden desire to have a side income but they are little hesitant to accept it openly. For the sake of statistics, only one to two percent of the bloggers succeed in generating truly passive income. The rest 98% to 99% bloggers who attempt to generate any serious side income from their blog fail. The barrier to enter a blog o sphere is very low. Theoretically, one can start a blog in less than 15 minutes with zero investments. Furthermore, there is a school of thought or misunderstanding?that reading few how to articles and to do list, the so called passive income or side income will trickle in. In this post, I am discussing few key aspects that every individual wanting to start a blog should think about even before you actually setup the blog. Pick a niche subject for your blog where you can share your expertise. The subject matter for your blog should be such that you are passionate about it. Many folks have no clue what is their niche.

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One could question whether the provision of signal is costly on the Kiva platform. The authors conclude this is and for the sake of limiting the word count of this blog, I would like to refer to page 31 of the paper for further reading on the argumentations. Methodology400,000 loans over the 2006 2012 period are studied. There are four dependent variables used. For loan received as well as loan repaid a binary variable is used, indicating yes or no or a continuous variable is used indicating the speed at which this happens. The independent variables are the individual constructs e. g. autonomy within VO and EO. These constructs are measured within loan text using a computer assisted text analysis program LIWC. The program analysis the word count of words within individual constructs, stored in a custom dictionary, relative to text length. Follow this link for an example of a loan page: s control variables the year, creditworthiness of the MFI, the loan size and country specific variables GDPC and infant mortality are used.