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Social Impact Assessment of Microfinance Programmes - weman

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loans and might have increased consumption due to better liquidity. This aspect would<br />

lead to a smaller value <strong>of</strong> δ or the impact reported on the variable <strong>of</strong> interest.<br />

Furthermore, the areas in which our selected MFIs were working were predominantly<br />

urban areas; in fact a large proportion <strong>of</strong> their work was within the same urban centres <strong>of</strong><br />

Lahore and Karachi. This caused problems in selecting the control groups and localities<br />

as there are almost 90,000 borrowers in Lahore with 66 MFI <strong>of</strong>fices while in Karachi<br />

there are over 22,000 borrowers with 46 MFI <strong>of</strong>fices 1 . Therefore, the knowledge and<br />

accessibility <strong>of</strong> micr<strong>of</strong>inance in these areas is enormous. This made it impossible to find<br />

areas which were unexposed to micr<strong>of</strong>inance and therefore precision <strong>of</strong> δ might be<br />

compromised. However, effort was made to find control areas where micr<strong>of</strong>inance was<br />

not pervasive so that we could compute δ with accuracy.<br />

The final estimation equation is as follows:<br />

Y ij = X ij α + C ij β + M ij γ + T ij δ +v ij (2)<br />

Equation (2) is similar to equation (1), except for the dummy C equal to 1 for clients and<br />

matched neighbours and equal to 0 for the pipeline clients and their matched neighbours.<br />

This dummy will take into account the heterogeneity between the two groups specified<br />

above and the localities they live in. In addition to the DID estimates we will also report<br />

the Single Difference estimates which compare only the active borrowers and the pipeline<br />

clients as all conditions <strong>of</strong> the DID model are not strictly met due to problems with data<br />

collection as mentioned above.<br />

The equation used for estimation <strong>of</strong> Single Difference is<br />

Y ij = X ij α + T ij δ +v ij (3)<br />

Where δ is the parameter <strong>of</strong> interest and captures the impact experienced by active<br />

borrowers on different outcomes as compared to pipeline clients.<br />

2.6 Format and Structure <strong>of</strong> the Report<br />

After the first Chapter on the introduction and background to the study, followed by this<br />

second Chapter on methodology and sample design, we move on to the results<br />

component <strong>of</strong> the Report. Our results are presented for each <strong>of</strong> the participating<br />

institutions separately in the next six chapters – Chapter 3-8 – where we show the results<br />

for each institution. Our interest (and that <strong>of</strong> the EU-PFSSRP as they state in the Terms<br />

<strong>of</strong> Reference) is focused not on a general, broad, social and economic impact analysis on<br />

micr<strong>of</strong>inance interventions in Pakistan, but on the impact <strong>of</strong> specific institutional<br />

interventions. Hence, we do not analyse pooled data for the study, but present our results<br />

separately in each Chapter. However, the concluding last Chapter, does present some<br />

1 Pakistan Micr<strong>of</strong>inance Network, “Microwatch: A quarterly update on Micr<strong>of</strong>inance in Pakistan” Issue 01:<br />

October 2006<br />

16

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