Growth empirics usually overlook the importance of knowledge and technology as determinants of growth and their complementarities with other factors. This paper develops a model to explain the role of knowledge, capital formation, interaction effects of tertiary education with information and communication technology and knowledge as determinants of economic growth. Sample of Asian countries have been used to analyze this model called as Tech-Know Income Model. Using dynamic specification of panel data model, data of selected Asian countries from 2000-2010 is analyzed. In empirical results, knowledge is found to be a significant factor of growth. Tech-Know income model confirms the importance of traditional factor of growth like ‘capital formation’ and ‘trade’ in addition to newer factors like ‘interaction effects’ of information and communication technology and knowledge with human capital. Recommendations are made to improve the quality of tertiary education and to focus on economically productive research specific to local needs of developing countries for ameliorated macroeconomic performance.

Arellano, Manuel and Stephen Bond (1991), Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. The Review of Economic Studies, Volume 58, Issue 2, pp. 277-297.    
http://dx.doi.org/10.2307/2297968

Azari, R. and J. B. Pick (2009), Understanding global digital inequality: The impact of government, investment in business and technology, and socioeconomic factors on technology utilization, HICSS, pp. 1-10, 42^nd Hawaii International Conference on System Sciences.    
http://dx.doi.org/10.1109/HICSS.2009.478

Baltagi, B. H. (2008), Econometric Analysis of Panel Data: Econometric Theory, 4^th edition. John Wiley and Sons, Ltd.

Barro, R. J. and X. Sala-i-Martin (1995), Economic Growth. London: The MIT Press.

Barro, Robert J. and Jong-Wha Lee (1994), Sources of economic growth. Carnegie Rochester Conference Series on Public Policy, Volume 40,pp. 1-46.   
http://dx.doi.org/10.1016/0167-2231(94)90002-7

Baum, F. C. (2006), An Introduction to Modern Econometrics Using Stata. Texas: Stata Press.

Benhabib, J. and M. M. Spiegel (1994), The role of human capital in economic development: Evidence from aggregate cross-country data. Journal of Monetary Economics, Volume 34(2), pp. 143-173.     
http://dx.doi.org/10.1016/0304-3932(94)90047-7

Black, S. E. and L. M. Lynch (1996), Human-capital investments and productivity. The American Economic Review, Volume 86(2), pp. 263-267.       
http://www.jstor.org/stable/2118134

Blundell, Richard and Stephen Bond (1998), Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics, Volume 87, No. 1, pp. 115-143.        
http://dx.doi.org/10.1016/S0304-4076(98)00009-8

Bond, Stephen R. (2002), Dynamic panel data models: A guide to micro data methods and practice. Portuguese Economic Journal, Volume 1, Issue 2, pp. 141-162. http://dx.doi.org/10.1007/s10258-002-0009-9

Breusch, T. S. and A. R. Pagan (1979), A simple test for heteroskedasticity and random coefficient variation. Econometrica, Volume 47, Issue 5, pp. 1287-1294. http://dx.doi.org/10.2307/1911963

Broersma, L., R. H. McGuckin and M. P. Timmer (2003), The impact of computers on productivity in the trade sector: Explorations with Dutch microdata. De Economist, Volume 151(1), pp. 53-79.  
http://dx.doi.org/10.1023/A:1022962831344

Cette, G. and J. Lopez (2008), What explains the ICT diffusion gap between the major industrialized countries: An empirical analysis? International Productivity Monitor, Volume 17 (Fall), pp. 28-39.

Colecchia, A. and P. Schreyer (2002), ICT investment and economic growth in the 1990s: Is the United States a unique case? A comparative study of nine OECD countries. Review of Economic Dynamics, Volume 5(2), pp. 408-442.  
http://dx.doi.org/10.1006/redy.2002.0170

Cook, R. Dennis and Sanford Weisberg (1983), Diagnostics for heteroscedasticity in regression. Biometrika, Volume 70, No. 1, pp. 1-10.       
http://dx.doi.org/10.1093/biomet/70.1.1

de Ferranti, D. (2002), From Natural Resources to Knowledge Economy. World Bank.

European Commission (2000), COM 7 “An agenda of economic and social renewal for Europe”. The Commission’s Contribution to the Lisbon European Council, 23-24 March.

Gera, S., W. Gu and F. C. Lee (1999), Information technology and productivity growth: An empirical analysis for Canada and the United States. The Canadian Journal of Economics, Volume 32(2), pp. 384-407.        
http://dx.doi.org/10.2307/136428

Godfrey, Leslie G. (1978), Testing for multiplicative heteroskedasticity. Journal of Econometrics, Volume 8, No. 2, pp. 227-236.    
http://dx.doi.org/10.1016/0304-4076(78)90031-3

Harris, R. G. (1999), Determinants of Canadian productivity growth: Issues and prospects. Discussion Paper # 8, Industry Canada Research Publications Program.

ITU (2003), World telecommunications development report 2003: Access indicators for the Information Society. Geneva: ITU. Retrieved from www.itu.int/ITU-D/ict/publications/wtdr_03/index.htm

ITU (2005), Measuring digital opportunity. Geneva: ITU. Retrieved from http://www.itu.int/itu-wsis/2005/DOI%20V2.pdf

ITU (2010), Measuring information society. Geneva: ITU. Retrieved from http://www.itu.int/ITU-/ict/publications/idi/material/2010/MIS_2010_without_annex_4-e.pdf

Karagiannis, S. (2007), Knowledge-based economy, convergence and economic growth: evidence from the European Union. The Journal of Economic Asymmetries, Volume 4(2), pp. 65-85.        
http://dx.doi.org/10.1016/j.jeca.2007.02.005

Koenker, Roger (1981), A note on studentizing a test for heteroskedasticity. Journal of Econometrics, Volume 17, No. 1, pp. 107-112.         
http://dx.doi.org/10.1016/0304-4076(81)90062-2

Lucas, Robert E. (1988), On the mechanic of economic development. Journal of Monetary Economics, Volume 22(1), pp. 3-42.   
http://dx.doi.org/10.1016/0304-3932(88)90168-7

Machlup, F. (1962), The Production and Distribution of Knowledge in the United States. Princeton University Press.

Madahi, A. and S. Musavi (2012), The effect of global advertisement strategy on brand image in laptop industry in Malaysia. Caspian Journal of Applied Sciences Research, Volume 1(12), pp. 60-72.

Mehmood, B. (2014), An Inquiry into Solow’s Paradox: Case of Knowledge Economies in Asia with Emphasis on Complementary Factors and Further Corollaries. Unpublished doctoral dissertation, GC University, Faisalabad, Pakistan.

Mehmood, B. and P. Azim (2013), Does ICT participate in economic convergence among Asian countries: Evidence from dynamic panel data model. Informatica Economică, Volume 17(2), pp. 7-16.

Mehmood, B. and P. Azim (2014), Total factor productivity, demographic traits and ICT: Empirical analysis for Asia. Informatica Economică, Volume 18(1), pp. 8-16.

Mehmood, B., H. Rehman and S. H. H. Rizvi (2014a), From information society to knowledge society: The Asian perspective. Pakistan Journal of Information Management and Libraries, Volume 15(1), pp. 37-46.

Mehmood, B., P. Azim and N. Asghar (2013a), Demographic and welfare related covariates of macroeconomic performance in a digital age in Asia. Pakistan Economic and Social Review, Volume 51(2), pp. 139-158.

Mehmood, B., P. Azim and S. Anwar (2013b), Economic convergence in context of knowledge economies in Asia: Instrumental variable estimation. Oeconomics of Knowledge, Volume 5(1), pp. 15-28.

Mehmood, B., P. Azim, S. H. Raza and H. Sohaib (2014b), Labor productivity, demographic traits and ICT A demo-tech productivity model for Asian region. International Journal of Economics and Financial Issues, Volume 4(4), pp. 773-783.

Mehmood, B., S. H. H. Rizvi and S. S. H. Rizvi (2014c), Governance and information and communication technology in Islamic countries: A generalized method of moments inference. Journal of Emerging Economies and Islamic Research, Volume 2(2), pp. 1-10.

Mileva, E. (2007), Using Arellano-Bond dynamic panel GMM estimators in Stata. Economics Department, Fordham University, New York. Retrieved from: http://www.fordham.edu/economics/mcleod/Elitz-UsingArellano%E2%80%93BondGMMEstimators.pdf

Romer, Paul M. (1986), Increasing returns and long run growth. Journal of Political Economy, Volume 94, No. 5, pp. 1002-1037.    
http://www.jstor.org/stable/1833190

Romer, Paul M. (1990), Endogenous technological change. Journal of Political Economy, Volume 98(5), pp. S71-S102. http://www.jstor.org/stable/2937632

Roodman, D. (2006), How to do xtabond2: An introduction to “Difference” and “System” GMM in Stata. Working Papers 103, Center for Global Development.

Roodman, D. (2009), A note on the theme of too many instruments. Oxford Bulletin of Economics and Statistics, Volume 71, Issue 1, pp. 135-158.           
http://dx.doi.org/10.1111/j.1468-0084.2008.00542.x

Sveikauskas, L. (2007), R&D and productivity growth: A review of the literature, US Bureau of Labour Statistics Working Paper 408, BLS, Washington, DC. Retrieved from: http://www.bls.gov/osmr/pdf/ec070070.pdf

White, Halbert (1980), A heteroskedasticity-consistent covariance matrix estimator and a direct test for heteroskedasticity. Econometrica, Volume 48, Issue 4, pp. 817-838. http://dx.doi.org/10.2307/1912934