The Impact of IT-Related Spillovers on Long-Run Productivity: An Empirical Analysis

Published Online:https://doi.org/10.1287/isre.1110.0381

References

  • Anderson S., Banker R., Ravindran S. The new productivity paradox. Comm. ACM (2003) 46(3):91–94CrossrefGoogle Scholar
  • Ang S., Cummings L. Strategic response to institutional influences on information systems outsourcing. Organ. Sci. (1997) 8(3):235–256LinkGoogle Scholar
  • Ang S., Straub D. Production and transaction economies and IS outsourcing: A study of the U.S. banking industry. MIS Quart. (1998) 22(4):535–552CrossrefGoogle Scholar
  • Arellano M. Computing robust standard errors for within-groups estimators. Oxford Bull. Econom. Statist. (1987) 49(4):431–434CrossrefGoogle Scholar
  • Balmaseda M., Dolado J., Lopez-Salido D. The dynamic effects of shocks to labor markets: Evidence from OECD countries. Oxford Econom. Papers (2000) 52(1):3–23CrossrefGoogle Scholar
  • Baltagi B.Econometric Analysis of Panel Data (1995) (John Wiley and Sons, New York) Google Scholar
  • Baltagi B., Blien B. The German wage curve: Evidence from IAB employment sample. Econom. Lett. (1998) 61(2):135–142CrossrefGoogle Scholar
  • Banerjee A. Panel data unit roots and cointegration: An overview. Oxford Bull. Econom. Statist. (1999) 61(S1):607–630CrossrefGoogle Scholar
  • Barro R., Sala-i-Martin X.Economic Growth (1995) (The MIT Press, Cambridge, MA) Google Scholar
  • Basu S., Fernald J., Oulton N., Gertler M., Rogoff K.NBER Macroeconomics Annual 2003 (2004) 18(Cambridge, MA)9–82Google Scholar
  • Baum C., Schaffer M., Stillman S. Instrumental variables and GMM: Estimation and testing. Stata J. (2003) 3(1):1–31CrossrefGoogle Scholar
  • Becchetti L., Adriani F. Does the digital divide matter? The role of information and communication technology in cross-country level and growth estimates. Econom. Innovation New Tech. (2005) 14(6):435–453CrossrefGoogle Scholar
  • Bergheim S.Long-Run Growth Forecasting (2008) (Springer, Berlin) CrossrefGoogle Scholar
  • Bernstein J., Nadiri M. Interindustry R&D spillovers, rate of return, and production in high-tech industries. AEA Papers Proc. (1988) 78(2):429–434Google Scholar
  • Bernstein J., Nadiri M. Research and development and intraindustry spillovers: An empirical application of dynamic duality. Rev. Econom. Stud. (1989) 56(2):249–269CrossrefGoogle Scholar
  • Bessen J., Hunt R. An empirical look at software patents. J. Econom. Management Strategy (2007) 16(1):157–189CrossrefGoogle Scholar
  • Bharadwaj A. A resource-based perspective on information technology capability and firm performance: An empirical investigation. MIS Quart. (2000) 24(1):169–196CrossrefGoogle Scholar
  • Bharadwaj A., Sambamurthy V., Zmud R. IT capabilities: Theoretical perspectives and empirical operationalization. Proc. Internat. Conf. Inform. Systems (1999) (AIS, Atlanta) Google Scholar
  • Blanchard O., Quah D. The dynamic effects of aggregate demand and supply disturbances. Amer. Econom. Rev. (1989) 79(4):655–673Google Scholar
  • Boynton A., Zmud R., Jacobs G. The influence of IT management practice on IT use in large organizations. MIS Quart. (1994) 18(3):299–318CrossrefGoogle Scholar
  • Breitung J. A parametric approach to the estimation of cointegration vectors in panel data. Econometric Rev. (2005) 24(2):151–173CrossrefGoogle Scholar
  • Bresnahan T. Measuring the spillovers from technical advances: Mainframe computers in financial services. Amer. Econom. Rev. (1986) 76(4):741–755Google Scholar
  • Bresnahan T., Trajtenberg M. General purpose technologies: Engines of growth. J. Econometrics (1995) 65(1):83–108CrossrefGoogle Scholar
  • Brynjolfsson E., Hitt L. Information technology as a factor of production: The role of differences among firms. Econom. Innovation New Tech. (1995) 3(4):183–200CrossrefGoogle Scholar
  • Brynjolfsson E., Hitt L. Beyond computation: Information technology, organizational transformation and business performance. J. Econom. Perspect. (2000) 14(4):23–48CrossrefGoogle Scholar
  • Brynjolfsson E., Hitt L. Computing productivity: Firm-level evidence. Rev. Econom. Statist. (2003) 85(4):793–808CrossrefGoogle Scholar
  • Brynjolfsson E., McAfee A., Zhu F., Sorell M. Scale without mass: Business process replication and industry dynamics. (2007) . Working paper, http://ssrn.com/abstract=980568Google Scholar
  • Campbell J., Lapham B. Real exchange rate fluctuations and the dynamics of retail trade industries on the U.S.-Canada border. Amer. Econom. Rev. (2004) 94(4):1194–1206CrossrefGoogle Scholar
  • Caselli F., Coleman W. Cross-country technology diffusion: The case of computers. AEA Papers Proc. (2001) 91(2):328–335CrossrefGoogle Scholar
  • Cheng J., Nault B. Industry level supplier-driven IT spillovers. Management Sci. (2007) 53(8):1199–1216LinkGoogle Scholar
  • Coe D., Helpman E. International R&D spillovers. Eur. Econom. Rev. (1995) 39(5):859–887CrossrefGoogle Scholar
  • Cohen W., Levinthal D. Absorptive capacity: A new perspective on learning and innovation. Admin. Sci. Quart. (1990) 35(1):128–152CrossrefGoogle Scholar
  • Connolly M. The dual nature of trade: Measuring its impact on imitation and growth. J. Development Econom. (2003) 39(5):859–887Google Scholar
  • Cornwell C., Trumbull W. Estimating the economic model of crime with panel data. Rev. Econom. Statist. (1994) 76(2):360–366CrossrefGoogle Scholar
  • Dedrick J., Gurbaxani V., Kraemer K. Information technology and economic performance: A critical review of the empirical evidence. ACM Comput. Surveys (2003) 35(1):1–28CrossrefGoogle Scholar
  • Dekimpe M., Hanssens D. The persistence of marketing effects on sales. Marketing Sci. (1995) 14(1):1–21LinkGoogle Scholar
  • Dewan S., Kraemer K. Information technology and productivity: Evidence from country level data. Management Sci. (2000) 46(4):548–562LinkGoogle Scholar
  • Dewan S., Min C. The substitution of information technology for other factors of production: A firm-level analysis. Management Sci. (1997) 43(12):1660–1675LinkGoogle Scholar
  • Dewan S., Shi C., Gurbaxani V. Investigating the risk-return relationship of information technology investment: Firm-level empirical analysis. Management Sci. (2007) 53(12):1829–1842LinkGoogle Scholar
  • DiRomualdo A., Gurbaxani V. Strategic intent of IT outsourcing. Sloan Management Rev. (1998) 39(4):67–80Google Scholar
  • Dolado J., Jimeno J. The causes of Spanish unemployment: A structural VAR approach. Eur. Econom. Rev. (1997) 41(7):1281–1307CrossrefGoogle Scholar
  • Dolado J., Jenkinson T., Sosvilla-Rivero S. Cointegration and unit roots. J. Econom. Surveys (1990) 4(3):249–273CrossrefGoogle Scholar
  • Engle R., Granger C. Co-integration and error correction: Representation, estimation and testing. Econometrica (1987) 55(2):251–276CrossrefGoogle Scholar
  • Faust J., Leeper E. When do long-run identifying restrictions give reliable results? J. Bus. Econom. Statist. (1997) 15(3):345–353Google Scholar
  • Gali J. Technology, employment, and the business cycle: Do technology shocks explain aggregate fluctuations. Amer. Econom. Rev. (1999) 89(1):259–271CrossrefGoogle Scholar
  • Gilchrist S., Gurbaxani V., Town R. Productivity and PC revolution. (2001) . Working paper, Center for Research for Information Technology and Organization, University of California, IrvineGoogle Scholar
  • Gong G., Keller W. Convergence and polarization in global income levels: A review of recent result on the role of international technology diffusion. Res. Policy (2003) 32(6):1055–1079CrossrefGoogle Scholar
  • Gordon R.The Measurement of Durable Goods Prices (1990) (University of Chicago Press, Chicago) CrossrefGoogle Scholar
  • Greene W.Econometric Analysis (2000) (Prentice Hall Inc., Upper Saddle River, NJ) Google Scholar
  • Griliches Z. Issues in assessing the contribution of research and development to productivity growth. Bell J. Econom. (1979) 10(1):92–116CrossrefGoogle Scholar
  • Griliches Z.R&D, Patents, and Productivity (1984) (University of Chicago Press, Chicago) CrossrefGoogle Scholar
  • Griliches Z. The search for R&D spillovers. Scandinanvian J. Econom. (1992) 94:S29–47CrossrefGoogle Scholar
  • Griliches Z.R&D and Productivity: The Econometric Evidence (1998) (University of Chicago Press, Chicago) CrossrefGoogle Scholar
  • Gurbaxani V., Karmarkar U., Apte U. Information systems outsourcing contracts: Theory and evidence. Managing in the Information Economy: Current Research (2007) (Springer, New York) CrossrefGoogle Scholar
  • Hamilton J.Time Series Analysis (1994) (Princeton University Press, Princeton, NJ) CrossrefGoogle Scholar
  • Harris R., Tzavalis E. Inference for unit roots in dynamic panels where the time dimension is fixed. J. Econometrics (1999) 91(2):201–226CrossrefGoogle Scholar
  • Holman C., Joyeux B., Kask C. Labor productivity trends since 2000, by sector and industry. Monthly Labor Rev. (2008) Feb. 1Google Scholar
  • Holtz-Eakin D., Newey W., Rosen H. Estimating vector autoregressions with panel data. Econometrica (1988) 56(6):1371–1395CrossrefGoogle Scholar
  • Husted S., MacDonald R. Monetary-based models of the exchange rate: A panel perspective. J. Internat. Financial Markets, Inst. Money (1998) 8(1):1–19CrossrefGoogle Scholar
  • Im K., Pesaran M., Shin Y. Testing for unit roots in heterogeneous panels. J. Econometrics (2003) 115(1):53–74CrossrefGoogle Scholar
  • Jacobs B., Nahuis R., Tang P. Sectoral productivity growth and R&D spillovers in The Netherlands. De Economist (2002) 152(2):181–210CrossrefGoogle Scholar
  • Jaffe A. Technological opportunity and spillovers of R&D: Evidence from firms' patents, profits, and market value. Amer. Econom. Rev. (1986) 76(5):984–1001Google Scholar
  • Kakabadse A., Kakabadse N. Trends in outsourcing: Contrasting USA and Europe. Eur. Management J. (2002) 20(2):189–198CrossrefGoogle Scholar
  • Keller W. Trade and transmission of technology. J. Econom. Growth (2002) 7(1):5–24CrossrefGoogle Scholar
  • Keller R., Chinta R. International technology transfer: Strategies for success. Acad. Management Executive (1990) 4(2):33–42CrossrefGoogle Scholar
  • Klein L., Saltzman C., Duggal V. Information technology and productivity: The case of financial sector. Survey Current Bus. (2003) 83(8):32–37Google Scholar
  • Ko D., Kirsch L., King W. Antecedents of knowledge transfer from consultants to clients in enterprise system implementation. MIS Quart. (2005) 29(1):59–86CrossrefGoogle Scholar
  • Lee J. The impact of knowledge sharing, organizational capability and partnership quality on IS outsourcing success. Inform. Management (2001) 38(5):323–335CrossrefGoogle Scholar
  • Lee J., Huynh M., Kwok R., Pi S. IT outsourcing evolution—Past, present, and future. Comm. ACM (2003) 46(5):84–89CrossrefGoogle Scholar
  • Levina N., Ross J. From the vendor's perspective: Exploring the value proposition in information technology outsourcing. MIS Quart. (2003) 27(3):331–364CrossrefGoogle Scholar
  • Lin L., Geng X., Whinston A. A sender-receiver framework for knowledge transfer. MIS Quart. (2005) 29(2):197–219CrossrefGoogle Scholar
  • Maddala G.Introduction to Econometrics (1992) (Prentice Hall, Englewood Cliffs, NJ) Google Scholar
  • Maddala G., Kim I.Unit Roots, Cointegration, and Structural Change (1999) (Cambridge University Press, Cambridge, UK) CrossrefGoogle Scholar
  • Maddala G., Wu S. A comparative study of unit root tests with panel data and a new simple test. Oxford Bull. Econom. Statist. (1999) 61(S1):631–652CrossrefGoogle Scholar
  • Miozzo M., Grimshaw D. Modularity and innovation in knowledge-intensive business services: IT outsourcing in Germany and the UK. Res. Policy (2005) 34(9):1419–1439CrossrefGoogle Scholar
  • Monjon S., Waelbroeck P. Assessing spillovers from universities to firms: Evidence from French firm-level data. Internat. J. Indust. Organ. (2003) 21(9):1225–1270CrossrefGoogle Scholar
  • Mun S., Nadiri E. Information technology externalities: Empirical evidence from 42 U.S. industries. (2002) . NBER working paper 9272, Cambridge, MACrossrefGoogle Scholar
  • Nadiri E. Innovations and technological spillovers. (1993) . NBER Working Paper 4423, Cambridge, MACrossrefGoogle Scholar
  • Nakamura A., Nakamura M. Firm performance, knowledge transfer and international joint ventures. Internat. J. Tech. Management (2004) 27(8):731–746CrossrefGoogle Scholar
  • Nelson C., Plosser C. Trends and random walks in macroeconomic time series: Some evidence and implications. J. Monetary Econom. (1982) 10(2):39–162CrossrefGoogle Scholar
  • OECD The economic impact of ICT: Measurement, evidence and implications. (2004) (OECD Publications, Paris, France) CrossrefGoogle Scholar
  • Ong S., Maxam C. A heterogeneous panel cointegration-error coorection approach to modelling commerical mortgage-backed security prices. J. Property Finance (1997) 8(4):317–335CrossrefGoogle Scholar
  • Pauwels K. How dynamic consumer response, competitor response, company support, and company inertia shape long-term marketing effectiveness. Marketing Sci. (2004) 23(4):596–610LinkGoogle Scholar
  • Pedroni P. Critical values for cointegration tests in heterogeneous panels with multiple regressors. Oxford Bull. Econom. Statist. (1999) 61(S1):653–670CrossrefGoogle Scholar
  • Pesaran H. A simple panel unit root test in the presence of cross-section dependence. J. Appl. Econometrics (2007) 22(2):265–312CrossrefGoogle Scholar
  • Pesaran H., Shin Y., Smith R. Pooled mean group estimation of dynamic heterogeneous panels. J. Amer. Statist. Assoc. (1999) 94(446):621–634CrossrefGoogle Scholar
  • Pilat D., Lee F., Ark B. Production and use of ICT: A sectoral perspective on productivity growth in the OECD area. OECD Econom. Stud. (2002) 35(2002/2Google Scholar
  • Pohjola M., Jones D. C. The adoption and diffusion of ICT across countries: Patterns and determinants. The New Economy Handbooks (2003) (Academic Press, San Diego) Google Scholar
  • Poppo L., Zenger T. Do formal contracts and relational governance function as substitutes or complements? Strategic Management J. (2002) 23(8):707–725CrossrefGoogle Scholar
  • Quinn J. Strategic outsourcing: Leveraging knowledge capabilities. Sloan Management Rev. (1999) 40(4):9–21Google Scholar
  • Raut L. R&D spillover and productivity growth; Evidence from Indian private firms. J. Development Econom. (1995) 48(1):1–23CrossrefGoogle Scholar
  • Romer P. Increasing returns and long-run growth. J. Political Econom. (1986) 94(5):1002–1037CrossrefGoogle Scholar
  • Romer P. The origins of endogenous growth. J. Econom. Perspect. (1994) 8(1):3–22CrossrefGoogle Scholar
  • Scherer F. Inter-industry technology flows and productivity growth. Rev. Econom. Statist. (1982) 64(4):627–634CrossrefGoogle Scholar
  • Shaw G. Policy implications of endogenous growth theory. Econom. J. (1992) 102(412):611–621Google Scholar
  • Siegel D. The impact of computers on manufacturing productivity growth: A multiple-indicators, multiple-causes approach. Rev. Econom. Statist. (1997) 79(1):68–78CrossrefGoogle Scholar
  • Solow R. A contribution to the theory of economic growth. Quart. J. Econom. (1956) 70(1):64–94CrossrefGoogle Scholar
  • Spender J. Making knowledge the basis of a dynamic theory of the firm. Strategic Management J. (1996) 17(Winter special issue):45–62CrossrefGoogle Scholar
  • Stiroh K. Computers, productivity and input substitution. Econom. Inquiry (1998) 36(2):175–191CrossrefGoogle Scholar
  • Stiroh K. Information technology and U.S. productivity revival: What do the industry data say? Amer. Econom. Rev. (2002) 92(5):1559–1576CrossrefGoogle Scholar
  • Stiroh K. Reassessing the impact of IT in the production function: A meta analysis. (2004) . Federal Reserve Bank of New York, New YorkGoogle Scholar
  • Van Ark B., O'Mahony M., Timmer M. The productivity gap between Europe and the United States: Trend and causes. J. Econom. Perspect. (2008) 22(1):25–44CrossrefGoogle Scholar
  • Van Pottelsberghe B., Lichtenberg F. Does foreign direct investment transfer technology across borders? Rev. Econom. Statist. (2001) 83(3):490–497CrossrefGoogle Scholar
  • Veerbek B.A Guide to Modern Econometrics (2000) (John Wiley & Sons, West Sussex, UK) Google Scholar
  • Wieser R. Research and development productivity and spillovers: Empirical evidence at the firm level. J. Econom. Surveys (2005) 19(4):587–621CrossrefGoogle Scholar
  • Woodbridge J.Econometric Analysis of Cross Section and Panel Data (2002) (MIT Press, Cambridge, MA) Google Scholar
INFORMS site uses cookies to store information on your computer. Some are essential to make our site work; Others help us improve the user experience. By using this site, you consent to the placement of these cookies. Please read our Privacy Statement to learn more.