ONLINE APPENDIX APPENDIX A. DESCRIPTION OF U.S. NON-FARM PRIVATE SECTORS AND INDUSTRIES
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1 ONLINE APPENDIX APPENDIX A. DESCRIPTION OF U.S. NON-FARM PRIVATE SECTORS AND INDUSTRIES 1997 NAICS Code Sector and Industry Title IT Intensity 1 IT Intensity 2 11 Agriculture, forestry, fishing, and hunting Forestry, fishing, and related activities L L 21 Mining Oil and gas extraction H H 212 Mining, except oil and gas H H 213 Support activities for mining H H 22 Utilities H H 23 Construction L L Manufacturing , 312 Food and beverage and tobacco products L L 313, 314 Textile mills and textile product mills L L 315, 316 Apparel and leather and allied products L L 321 Wood products L L 322 Paper products L L 323 Printing and related support activities L L 324 Petroleum and coal products L H 325 Chemical products H H 326 Plastics and rubber products L L 327 Nonmetallic mineral products L L 331 Primary metals L L 332 Fabricated metal products L L 333 Machinery H H 334 Computer and electronic products H H 335 Electrical equipment, appliances, and components L L Motor vehicles, bodies and trailers, and parts L L , 3369 Other transportation equipment H H 337 Furniture and related products L L 339 Miscellaneous manufacturing L L 42 Wholesale trade H H 44, 45 Retail trade L L 48, 49 Transportation and warehousing Air transportation H H 482 Rail transportation H H 483 Water transportation H H 484 Truck transportation L L 485 Transit and ground passenger transportation H H 486 Pipeline transportation H H 487, 488, 492 Other transportation and support activities H L 493 Warehousing and storage L L 51 Information Publishing industries (includes software) H H 512 Motion picture and sound recording industries L H 513 Broadcasting and telecommunications H H 1
2 IT In- IT Intensity 1 tensity NAICS Code Sector and Industry Title 514 Information and data processing services H H 52, 53 Finance, insurance, real estate, rental, and leasing , 522 Federal Reserve banks, credit intermediation, and related activities H H 523 Securities, commodity contracts, and investments H H 524 Insurance carriers and related activities H H 525 Funds, trusts, and other financial vehicles L H 531 Real estate L L 532, 533 Rental and leasing services and lessors of intangible assets H H Professional and business services Legal services L L 5415 Computer systems design and related services H H , Miscellaneous professional, scientific, and technical services H H 55 Management of companies and enterprises H H 561 Administrative and support services H L 562 Waste management and remediation services H H 61, 62 Educational services, health care, and social assistance Educational services H L 621 Ambulatory health care services H H 622, 623 Hospitals and nursing and residential care facilities H H 624 Social assistance L L 71, 72 Arts, entertainment, recreation, accommodation, and food services , 712 Performing arts, spectator sports, museums, and related activities L L 713 Amusements, gambling, and recreation industries L L 721 Accommodation L L 722 Food services and drinking places L L 81 Other services, except government L L 2
3 APPENDIX B. CORRELATIONS AND COLLINEARITY DIAGNOSTICS Table B1. Correlations among the Independent Variables Non-IT Capital IT Capital Labor Non-IT Capital IT Capital Labor Non-IT Services Intermediate Inputs Non-IT Services Intermediate Inputs IT Outsourcing IT Outsourcing Table B2. Collinearity Diagnostics VIF SQRT(VIF) Tolerance R 2 Non-IT Capital IT Capital Labor Non-IT Services Intermediate Inputs IT Outsourcing Note: Mean VIF = 1.61 APPENDIX C. COMPARISON OF OUR COEFFICIENT ESTIMATES WITH THOSE FROM PREVIOUS STUDIES STUDIES LEVEL OF ANALYSIS IT CAPITAL NON-IT CAPITAL LABOR INTERMEDIATE INPUTS Our Production Function Industry Lichtenberg (1995) Firm Computerworld Lichtenberg (1995) Firm Informationweek Brynjolfsson and Hitt Firm (1995) Brynjolfsson and Hitt Firm (1996) Dewan and Min (1997) Firm Dewan and Kraemer County (2000) Cheng and Nault (2007) Industry Note: Adapted from Cheng and Nault (2007). 3
4 APPENDIX D. ESTIMATION RESULTS WITH IT VENDOR INDUSTRY DUMMY VARIABLE PARAMETER FGLS OLS-PCSE WITH DUMMY WITHOUT DUMMY WITH DUMMY WITHOUT DUMMY Non-IT capital.076*** 0.059*** (0.011).075*** 0.058*** (0.012) Labor.234*** 0.227*** (0.012).219*** (.010) 0.212*** (0.010) IT capital.035*** (.009) 0.043*** (0.009).019* 0.029*** (0.011) 0.649*** (0.029) Non-IT services intermediate inputs.634*** (.015) 0.631***.659*** IT outsourcing.022** 0.034***.027** (0.010) IT vendor industry dummy.146**.160*** -- (.059) (.050) -- N *** (0.013) Notes: IT vendor industry dummy = 1 for three IT vendor industries (NAICS 334: Computer and electronic products, NAICS 514: Information and data processing services, and NAICS 5415: Computer systems design and related services). Signif.: *** = p < 0.01, ** = p < 0.05, * = p < Standard errors are in parentheses. APPENDIX E. ESTIMATION RESULTS WITH INTERACTION EFFECTS BETWEEN IT INTENSITY AND IT OUTSOURCING PARAMETER IT INTENSITY MEASURE 1: IT CAPITAL / OUT- PUT Non-IT capital.065*** Labor.220*** IT capital.040*** (.009) Non-IT services intermediate inputs.632*** IT INTENSITY MEASURE 2: IT CAPITAL / LA- BOR.066***.218***.033*** (.009).648*** (.015) (.015) IT outsourcing.027**.012 IT outsourcing IT Intensity.023*.042*** N Notes: IT Intensity is a dummy variable, which equals 1 for high IT intensity industries and 0 for low IT intensity industries. Signif.: *** = p < 0.01, ** = p < 0.05, * = p < Standard errors are in parentheses. 4
5 APPENDIX F. ADDITIONAL FGLS AND OLS-PCSE ESTIMATION RESULTS Table F1. Production Function IT Intensity Split: FGLS PSAR1 Non-IT capital (0.016) *** *** (0.024) *** IT capital *** (0.020) *** *** *** Labor *** *** (0.021) *** *** Non-IT services intermediate inputs *** (0.030) *** *** *** (0.024) IT outsourcing *** * *** (0.011) Table F2. Production Function IT Intensity Split: PCSE AR1 Non-IT capital *** *** (0.043) *** (0.026) IT capital *** *** (0.046) *** *** (0.026) Labor *** (0.013) *** *** *** Non-IT services intermediate inputs *** (0.040) *** (0.027) *** (0.038) *** IT outsourcing *** (0.028) *** Table F3. Production Function IT Intensity Split: PCSE PSAR1 Non-IT capital (0.040) *** (0.034) *** (0.031) *** IT capital *** (0.034) *** (0.031) *** *** Labor *** *** *** (0.016) *** (0.027) Non-IT services intermediate inputs *** (0.047) *** (0.034) *** (0.038) *** (0.035) IT outsourcing *** (0.021) *** (0.021) *** (0.035) 5
6 Table F4. Labor Productivity Equation IT Intensity Split: FGLS PSAR1 Non-IT capital *** (0.013) *** *** *** IT capital *** (0.019) *** *** *** (0.019) Non-IT services intermediate inputs *** (0.027) *** *** *** IT outsourcing *** *** (0.010) (0.020) Table F5. Labor Productivity Equation IT Intensity Split: PCSE AR1 Non-IT capital *** *** (0.047) *** * (0.032) IT capital *** (0.019) ** (0.046) *** (0.013) *** (0.032) Non-IT services intermediate inputs *** (0.041) *** (0.026) *** (0.033) *** IT outsourcing *** *** Table F6. Labor Productivity Equation IT Intensity Split: PCSE PSAR1 Non-IT capital *** (0.019) *** (0.041) *** (0.030) *** (0.040) IT capital *** (0.044) *** (0.030) *** (0.026) *** (0.031) Non-IT services intermediate inputs *** (0.046) *** (0.036) *** (0.038) *** (0.040) IT outsourcing ** (0.024) ** (0.016) (0.032) 6
7 APPENDIX G. RESULTS OF QUANTILE REGRESSION PARAMETER QUANTILE Non-IT capital.035* (.020).038* (.020).0001 (.036) Labor.182*** (.015).187***.147*** (.049) IT capital.031**.034* (.019).075*** Non-IT services intermediate inputs.697*** (.020).680*** (.043).692*** (.039) IT outsourcing.062** (.010).058*** (.016).060*** N Pseudo R APPENDIX H. RESULTS OF TIME SPLIT ANALYSIS PARAMETER TIME PERIOD Pre-2002 ( ) Post-2002 ( ) Non-IT capital *** (0.009) ** IT capital *** (0.008) *** (0.012) Labor *** *** (0.021) Intermediate inputs less IT outsourcing *** (0.010) *** IT outsourcing *** (0.009) *** (0.012) Notes: Sixty non-farm private industries. Signif: *** = p < 0.01, ** = p < Standard errors are in parentheses. Estimates of the labor productivity equation are almost identical, so we do not report them. 7
8 APPENDIX I. TESTS FOR POTENTIAL ENDOGENEITY OF THE IT Capital AND IT Outsourcing VARIABLES Table I1. Results of Two-Stage Least Squares Estimation of Our Production Function and Durbin-Wu-Hausman Test POTENTIAL ENDOGENOUS VARIABLES TESTED PARAMETER IT Capital IT Outsourcing IT Capital and IT Outsourcing Non-IT capital.040***.039***.040*** Labor.182***.182***.182*** IT capital.052***.052***.051*** Non-IT services intermediate inputs.686*** (.017).685*** (.017).685*** (.017) IT outsourcing.069***.069***.070*** N Durbin-Wu-Hausman Statistic Note: We used the one- and two-year lagged values of IT capital and IT outsourcing as instruments. The null hypothesis is that the suspected variables are exogenous. Table I2. Results of Two-Stage GMM Estimation of Our Production Function and the C Statistic Test and Hansen s J Test POTENTIAL ENDOGENOUS VARIABLES TESTED PARAMETER IT Capital IT Outsourcing IT Capital and IT Outsourcing Non-IT capital.038 (.034).029 (.032).025 (.032) Labor.182*** (.029).189***.190*** IT capital.047 (.031).064** (.029).060** Non-IT services intermediate inputs.693*** (.052).658*** (.043).659*** (.043) IT outsourcing.065** (.025).070*** (.025).068*** (.025) N Hansen s J Statistic C Statistic Note: We used the one- and two-year lagged values of IT capital and IT outsourcing as instruments. For both the C test and Hansen s J test, the null hypothesis is that the suspected variables are exogenous. We use the feasible efficient two-step GMM estimator implemented in Stata s ivreg2 procedure (Baum et al. 2003). 8
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