Table D.6: Technology Curve Robustness for Wearing Apparel

||(1)<br>Baseline|(2)|(3)<br>Log|(4)|(5)<br>Max-1|(6)|(7)<br>Observed M|(8)<br>ax|(9)<br>Excluding|(10)<br>BF|
|---|---|---|---|---|---|---|---|---|---|---|
|Business Functions|ABF MOST|R<sup>2</sup>|ABF MOST|R<sup>2</sup>|ABF MOST|R<sup>2</sup>|ABF MOST|R<sup>2</sup>|ABF MOST|R<sup>2</sup>|
|Design|1.43***|0.51|1.38***|0.55|2.16***|0.57|0.94***|0.47|1.26***|0.37|
||(0.08)||(0.07)||(0.11)||(0.06)||(0.09)||
|Cutting|1.13***|0.52|1.32***|0.58|1.07***|0.52|1.16***|0.52|1.02***|0.41|
||(0.05)||(0.06)||(0.05)||(0.06)||(0.06)||
|Sewing|0.45***|0.08|0.50***|0.10|0.42***|0.07|0.47***|0.08|0.20**|0.02|
||(0.08)||(0.08)||(0.08)||(0.08)||(0.08)||
|Finishing|0.99***|0.30|0.92***|0.24|0.95***|0.29|1.00***|0.29|0.73***|0.17|
||(0.08)||(0.09)||(0.08)||(0.08)||(0.09)||
|Fabrication|0.55***<br>(0.03)|0.47|0.81***<br>(0.04)|0.53|0.49***<br>(0.03)|0.47|0.56***<br>(0.03)|0.47|0.52***<br>(0.02)|0.31|

Note: *** p _<_ 0.01, ** p _<_ 0.05, * p _<_ 0.1. Dependent variables are presented in each row. In the first specification, each sector specific business function-level technology (SSBF MOST) in Wearing Apparel is regressed on ABF MOST. In the second specification, we use log of ABF MOST. In the third specification, we compute ABF MOST by changing denominator from max to max-1. In the third specification, we compute ABF MOST by using observed max of technology as a denominator. In the last specification, we compute each ABF MOST by excluding a business function used in the dependent variable. Robust standard errors are provided in the parentheses.

Table D.7: Technology Curve Robustness for Wholesale and Retail

||(1)<br>Baseline|(2)|(3)<br>Log|(4)|(5)<br>Max-1|(6)|(7)<br>Observed M|(8)<br>ax|(9)<br>Excluding|(10)<br>BF|
|---|---|---|---|---|---|---|---|---|---|---|
|Business Functions|ABF MOST|R<sup>2</sup>|ABF MOST|R<sup>2</sup>|ABF MOST|R<sup>2</sup>|ABF MOST|R<sup>2</sup>|ABF MOST|R<sup>2</sup>|
|Customer Service|0.28***|0.06|0.50***|0.12|0.27***|0.06|0.41***|0.08|0.15***|0.02|
||(0.04)||(0.06)||(0.04)||(0.06)||(0.04)||
|Pricing|0.88***|0.30|0.98***|0.32|0.89***|0.30|0.86***|0.30|0.67***|0.18|
||(0.06)||(0.06)||(0.06)||(0.05)||(0.06)||
|Merchandising|0.64***|0.18|0.79***|0.21|0.74***|0.19|0.63***|0.18|0.43***|0.09|
||(0.06)||(0.07)||(0.07)||(0.06)||(0.06)||
|Inventory|1.03***|0.50|1.21***|0.58|1.03***|0.50|1.01***|0.50|0.91***|0.40|
||(0.04)||(0.04)||(0.04)||(0.04)||(0.04)||
|Advertisement|0.98***|0.22|1.05***|0.22|0.89***|0.21|0.97***|0.23|0.62***|0.09|
||(0.10)||(0.12)||(0.10)||(0.10)||(0.11)||

Note: *** p _<_ 0.01, ** p _<_ 0.05, * p _<_ 0.1. Dependent variables are presented in each row. In the first specification, each sector specific business function-level technology (SSBF MOST) in Wholesale and Retail is regressed on ABF MOST. In the second specification, we use log of ABF MOST. In the third specification, we compute ABF MOST by changing denominator from max to max-1. In the third specification, we compute ABF MOST by using observed max of technology as a denominator. In the last specification, we compute each ABF MOST by excluding a business function used in the dependent variable. Robust standard errors are provided in the parentheses.

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