La presente pubblicazione ottempera agli obblighi previsti dall'art. 1 del decreto legislativo luogotenenziale 31 agosto 1945, n. 660. Ringraziamenti The authors are grateful to Laura Magazzini, Jerome Adda, El-Thalassinos, the participants at the ERSJ Workshop held at Prague, the participants at the PhD biannual meeting of the Department of Economics, for their useful comments and suggestions, MEFOP (Rome) for partially financing the research. The usual disclaimer applies.

The paper presents micro evidence on firm dynamics for enterprises in Indian Manufacturing sectors on the grounds of Prowess database provided by the Centre for Monitoring Indian Economy (CMIE) covering the period 1991-2010. The parameterization of the distributions of growth exhibit high level heterogeneity displayed among firms even within the same sector, which widens over time. The transition probabilities matrix reveals the coexistence of firms with very different characteristics and performance within sectors. Given the wide heterogeneities, the paper resorts to quantile regression to identify the differential effect of regressors at different deciles of the conditional distrubution.

Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Abstract "Learning-by-doing" is usually identified as a process whereby performance increases with experience in production. The paper investigates different patterns of "learning by doing", studying learning curves at product level. Cost-quantity relationships differ a lot across products belonging to sectors with different "technological intensities". Moreover, such differential patterns are affected by firm spending on research and capital investments. Finally, our evidence suggests that "learning", or performance improvement over time is not a by-product of the mere repetition of the same production activities, as sometimes reported in previous studies, but rather it seems to be shaped by deliberate firm learning efforts and by the interactions among firms themselves. Terms of use: Documents in