• Jason C. Patalinghug Department of Economics and Finance, Southern Connecticut State University


The purpose of this paper is the estimation of a production function for retail stores in the Philippines. A generalized Cobb-Douglas production function is utilized for this purpose. Ordinary Least Squares is used in obtaining the coefficients for labor and capital. The results show that the marginal product of labor to be higher than the marginal product of capital and the hypothesis of constant returns to scale is not rejected.


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[1]Aigner, D.J. & Chu, S.F. (1968). On estimating the industry production function. The American Economic Review, 58(4), 826-839.
[2]Assaf, A.G., Barros, C., & Sellers-Rubio, R. (2011). Efficiency determinants in retail stores: A Bayesian framework. Omega, 39(2011), 283-292.
[3]Ayaz, S., & Hussain, Z. (2011). Impact of institutional credit on production efficiency of farming sector: A case study of District Faisalabad. Pakistan Economic and Social Review, 49(2), 149-162.
[4]Chen, W., Niebel, T., & Saam, M. (2016). Are intangibles more productive in ICT-intensive industries? Evidence from EU countries. Telecommunications Policy, 40(5), 471-484.
[5]Constantin, P. D., Martin, D. L., & Rivera, E. B. B. R. (2009). Cobb-Douglas, translog stochastic production function and data envelopment analysis in total factor productivity in Brazilian agribusiness. Journal of Operations and Supply Chain Management, 2(2), 20-34.
[6]Digal, L.N. (2001). An analysis of the structure of the Philippine retail food industry. Philippine Journal of Development, 28(1), 13-54.
[7]Douglas, P.H. (1976). The Cobb-Douglas production function once again: Its history, its testing, and some new empirical values. Journal of Political Economy, 84(5), 903-915.
[8]Gauri, D.K. (2013). Benchmarking retail productivity considering retail pricing and format strategy. Journal of Retailing, 89(1), 1-14.
[9]Gujarati, D.N., Porter, D.C. & Gunasekar, S. (2017). Basic econometrics (5th ed.). New York: McGraw-Hill.
[10]Hossain, M. M., Majumder, A. K., & Basak, T. (2012). An application of non-linear CobbDouglas production function to selected manufacturing industries in Bangladesh. Open Journal of Statistics, 2(4), 460-468.
[11]Ingene, C.A. (1982). Labor productivity in retailing. Journal of Marketing, 46(4), 75-90.
[12]Ingene, C.A. & Lusch, R.F. (1978, March). Estimation of an aggregate production function for U.S. retailing: 1951-1974. Paper presented at the Southwestern Marketing Association.
[13]Ingene, C.A. & Lusch, R.F. (1999). Estimation of a department store production function. International Journal of Physical Distribution and Logistics Management, 29(7-8), 453-465.
[14]Kendrick, J. (1973). Postwar productivity trends in the United States: 1948-1969. New York: National Bureau of Economic Research.
[15]McAnally, A.P. (1963). Te measurement of retail productivity. The Journal of Industrial Economics, 11(2), 87-95.
[16gMcClelland, W.G. (1967). Costs and competition in retailing. London: Macmillan.
[17]Ofer G. (1973). Returns to scale in retail trade. Review of Income and Wealth, 19(4), 363-384.
[18]Ratchford B.T. & Brown, J.R. (1985). A study of productivity changes in food retailing. Marketing Science, 4(4), 292-311.
[19]Shin, S. & Eksioglu, B. (2015). An empirical study of RFID productivity in the U.S. retail supply chain. International Journal of Production Economics, 163, 89-96.
[20]Takeuchi, H. & Bucklin, L.P. (1977). Productivity in retailing: Retail structure and public policy. Journal of Retailing, 53(1), 35-46.
[21]Tilley, R.P.R. & Hicks, R. (1970). Economies of scale in supermarkets. The Journal of Industrial Economics, 19(1), 1-5.
How to Cite
C. PATALINGHUG, Jason. ESTIMATION OF A PRODUCTION FUNCTION FOR PHILIPPINE RETAIL STORES. ECONOMICS - Innovation and economic research, [S.l.], v. 7, n. 1, p. 69-79, june 2019. ISSN 2303-5013. Available at: <>. Date accessed: 19 july 2019. doi: