Sequential Malmquist Index

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Malmquist Index
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Convenient program for your reseaches of dynamic efficiency by using Malmquist Index method

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FoThere are several studies which point out decline in agricultural productivity in developing countries even in the years well-known for success of Green Revolution. The modified Malmquist TFP index- using Sequential/ Long memory technology, as proposed by Forstner and Isaksson (2002) and Nin et al (2003), attempts to rectify the biases in computation of productivity growth arising from non-neutral technical change. This study uses non-parametric Sequential Malmquist TFP Index to estimate changes in total factor productivity in Indian agriculture at state-level.rstner Helmut and Isaksson Anders (2002), “Productivity, Technology, and Efficiency: An analysis of the world technology frontier when memory is infinite”, SIN Working Paper Series, Working Paper no. 7, February 2002, Statistics and Information Networks branch of UNIDO.

Nin Alejandro, Arndt Channing, Preckel Paul V. (2003), “Is agricultural productivity in developing countries really shrinking? New evidence using a modified nonparametric approach”, Journal of Development Economics 71, p 395-415.

TRENDS IN TOTAL FACTOR PRODUCTIVITY IN INDIAN AGRICULTURE: STATE-LEVEL EVIDENCE USING NON-PARAMETRIC SEQUENTIAL MALMQUIST INDEX
SHILPA CHAUDHARY Working Paper No. 215 Centre for Development Economics Department of Economics, Delhi School of Economics

A Sequential Malmquist-Luenberger Productivity Index - IZA

A Sequential Malmquist-Luenberger Productivity Index
Donghyun Oh CESIS, KTH Royal Institute of Technology, Stockholm
Almas Heshmati TEPP, Seoul National University and IZA

IZA Discussion Paper No. 4199 May 2009

This study proposes an alternative methodology for measuring environmentally sensitive productivity growth. The rationale of this methodology is to consider the features of technology appropriately by excluding a spurious technical regress based on the macroeconomic perspective. In order to consider this condition and to develop an alternative index, a directional distance function and the concept of the successive sequential production possibility set are combined. With this combination, the conventional Malmquist-Luenberger productivity index is modified to give the alternative sequential environmentally sensitive productivity index. This proposed index is employed in measuring productivity growth and its decomposed components of OECD countries for the period 1970-2003. We distinguish two main empirical findings. First, even though the components of the conventional Malmquist-Luenberger productivity index and the proposed index are different, the developments of productivity are similar. Second, unlike in previous studies, the efficiency change is the main contributor to the earlier study period, whereas the effect of technical change has prevailed over time.

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