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Making Better Use of Business Survey Data: Thoughts on Overcoming the Anchoring and Nested Data Problems in Interpreting Business Survey Results
Unformatted Document Text:  Edmund Malesky 32 Appendix 1: Factor loadings and variance explained for transactions costs componentsComponent 1: Inspections and Senior Management DaysComponent 2: Waiting Periods Rotated Component Matrix a .903 -7.96E-02 .900 -1.25E-02 -7.56E-02 .658 2.991E-02 .746 -3.87E-02 .480 total inspection hours total inspection time land wait sum of allagencies how many days wait to getbank loan length of time to getlicenses and permits 1 2 Component Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization. Rotation converged in 3 iterations. a.

Authors: Malesky, Edmund.
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Edmund Malesky
32
Appendix 1: Factor loadings and variance explained for transactions costs components
Component 1: Inspections and Senior Management Days
Component 2: Waiting Periods
Rotated Component Matrix
a
.903
-7.96E-02
.900
-1.25E-02
-7.56E-02
.658
2.991E-02
.746
-3.87E-02
.480
total inspection hours
total inspection time
land wait sum of all
agencies
how many days wait to get
bank loan
length of time to get
licenses and permits
1
2
Component
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
Rotation converged in 3 iterations.
a.


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