Measuring Productivity

Gatto, Massimo Del; Liberto, Adriana Di; Petraglia, Carmelo

doi:10.1111/j.1467-6419.2009.00620.x

Cited by 127 publications

(87 citation statements)

References 137 publications

(189 reference statements)

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“…There are some advantages of estimating TFP using micro-level data. For instance, Del Gatto et al (2011) argue that although aggregate analysis plays an important role in cross-country comparative analysis, firm-level analysis enables the investigation of TFP patterns at a deeper level controlling for issues like non-competitive markets, increasing returns, and heterogeneous firms. Previous studies (of China and elsewhere) have used different approaches to estimating TFP using micro-level panel data (see Sect.…”

Section: Empirical Methods For Tfp Estimation and Approach Usedmentioning

confidence: 99%

The determinants of productivity in Chinese large and medium-sized industrial firms, 1998–2007

2015

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Use policyThe full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-prot purposes provided that:• a full bibliographic reference is made to the original source • a link is made to the metadata record in DRO • the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders.Please consult the full DRO policy for further details. Abstract Using a large firm-level dataset, this paper examines total factor productivity (TFP) and its determinants in China. Our preferred GMM estimation results indicate increasing returns to scale in most industries and a usually large positive trend representing technical change.Various firm characteristics such as age, ownership, political affiliation, export behavior, liquidity, and geographic location are included in the production function. Our results show that in the context of China's institutional background, including such factors is important when estimating TFP. The average TFP growth in Chinese industries is 9.6 % per annum during the period 1998-2007, and is mainly driven by firm entry. The subsector decomposition exercises show that the inter-firm resource reallocations are more prominent across industries than across provinces.

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Section: Empirical Methods For Tfp Estimation and Approach Usedmentioning

confidence: 99%

The determinants of productivity in Chinese large and medium-sized industrial firms, 1998–2007

2015

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“…Figures on the size and productivity advantages of exporters do not include the Petroleum and Coal industry as this behave as an outlier. 21 Further details on how the various measures are computed from the model are available upon request.…”

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confidence: 99%

Productivity and Firm Selection: Quantifying the 'New' Gains from Trade

et al. 2011

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We discuss how standard computable equilibrium models of trade policy can be enriched with selection effects. This is achieved by estimating and simulating a partial equilibrium model that accounts for a number of real world effects of trade liberalisation: richer availability of product varieties; tougher competition and weaker market power of firms; better exploitation of economies of scale; and, of course, efficiency gains via firms selection. The model is estimated on EU data and then simulated in counterfactual scenarios. Gains from trade are much larger in the presence of selection effects with substantial variability across countries and sectors.

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“…However, our descriptive evidence also suggests that M&A targets and their non-acquired counterparts crucially 5 In Table 1, we provide an estimate for total factor productivity taking account for the vast literature on the estimation of production functions at the firm level (see, e.g., Del Gatto et al 2011, for a recent survey). In particular, to deal with simultaneity of input and output choices we follow Levinsohn and Petrin (2003), who propose a semi-parametric estimation approach that utilizes a firm's demand for intermediate inputs (such as materials or electricity) in order to proxy for unobservable productivity shocks.…”

Section: Descriptive Statisticsmentioning

confidence: 99%

The Wage Premium of Foreign Ownership: Evidence from European Mergers and Acquisitions

2012

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The authors provide evidence on the impact of foreign ownership on labor market outcomes analyzing pay differences between foreign-acquired and domestically owned firms. For this purpose, they use firm-level data from 16 European countries over the time period 1999-2006. Combing propensity score matching techniques with difference-in-differences (DID) estimators the authors estimate positive wage premia of cross-border merger and acquisitions (M&As), suggesting that foreign-acquired firms exhibit higher short-run (postacquisition) wage growth than their domestic counterparts. The observed wage disparities are most pronounced for low paying firms (with average wages below the median) which are typically located in Eastern European transition economies. Special IssueResponding to the Labour Market Challenges of Globalisation JEL C21, F15, G34, J31

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Measuring Productivity

Cited by 127 publications

References 137 publications

The determinants of productivity in Chinese large and medium-sized industrial firms, 1998–2007

The determinants of productivity in Chinese large and medium-sized industrial firms, 1998–2007

Productivity and Firm Selection: Quantifying the 'New' Gains from Trade

The Wage Premium of Foreign Ownership: Evidence from European Mergers and Acquisitions

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