TY  - JOUR
AU  - Katayama,Haijime
AU  - Lu,Shihua
AU  - Tybout,James
TI  - Why Plant-Level Productivity Studies are Often Misleading, and an Alternative Approach to Interference
JF  - National Bureau of Economic Research Working Paper Series
VL  - No. 9617
PY  - 2003
Y2  - April 2003
UR  - http://www.nber.org/papers/w9617
L1  - http://www.nber.org/papers/w9617.pdf
N1  - Author contact info:
Shihua Lu
Charles River Associates
1201 F Street, NW  Suite 700
Washington, DC 20004
E-Mail: sxl@crai.com

James R. Tybout
Department of Economics
Penn State University
517 Kern Graduate Building
University Park, PA  16802
Tel: 814/865-4259
Fax: 814/863-4775
E-Mail: jtybout@psu.edu
AB  - Applied economists often wish to measure the effects of managerial decisions or policy changes on plant-level productivity patterns. But plant-level data on physical quantities of output, capital, and intermediate inputs are usually unavailable. Therefore, when constructing productivity measures, most analysts proxy these variables with real sales revenues, depreciated capital spending, and real input expenditures. The first part of this paper argues that the resultant productivity indices have little to do with technical efficiency, product quality, or contributions to social welfare. Nonetheless, they are likely to be correlated with policy shocks and managerial decisions in misleading ways. The second part of the paper develops an alternative approach to inference. Using Steven Berry's (1994, RAND Journal) representation of equilibrium in a differentiated product market, we show how to impute each plant's unobserved marginal costs and product quality from its observed revenues and costs, and how to use this mapping to calculate plant-specific welfare-based performance measures. (Bayesian estimation techniques are required because the vector of unknown parameters is under-identified.) The final part of the paper demonstrates our methodology using panel data on Colombian pulp and paper plants.
ER  -