Do Larger Firms Exert More Market Power? Markups and Markdowns along the Size Distribution
Matthias Mertens, Bernardo Mottironi
IWH Discussion Papers,
No. 1,
2023
Abstract
Several models posit a positive cross-sectional correlation between markups and firm size, which characterizes misallocation, factor shares, and gains from trade. Accounting for labor market power in markup estimation, we find instead that larger firms have lower product markups but higher wage markdowns. The negative markup-size correlation turns positive when conditioning on markdowns, suggesting interactions between product and labor market power. Our findings are robust to common criticism (e.g., price bias, non-neutral technology) and hold across 19 European countries. We discuss possible mechanisms and resulting implications, highlighting the importance of studying input and output market power in a unified framework.
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Automation with Heterogeneous Agents: The Effect on Consumption Inequality
Tommaso Santini
IWH Discussion Papers,
No. 28,
2022
Abstract
In this paper, I study technological change as a candidate for the observed increase in consumption inequality in the United States. I build an incomplete market model with educational choice combined with a task-based model on the production side. I consider two channels through which technology affects inequality: the skill that an agent can supply in the labor market and the level of capital she owns. In a quantitative analysis, I show that (i) the model replicates the increase in consumption inequality between 1981 and 2008 in the US (ii) educational choice and the return to wealth are quantitatively important in explaining the increase in consumption inequality.
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Total Factor Productivity Growth at the Firm-level: The Effects of Capital Account Liberalization
Xiang Li, Dan Su
Journal of International Economics,
November
2022
Abstract
This study provides firm-level evidence on the effect of capital account liberalization on total factor productivity (TFP) growth. We find that a one standard deviation increase in the capital account openness indicator constructed by Fernández et al. (2016) is significantly associated with a 0.18 standard deviation increase in firms’ TFP growth rates. The productivity-enhancing effects are stronger for sectors with higher external finance dependence and capital-skill complementarity, and are persistent five years after liberalization. Moreover, we show that potential transmission mechanisms include improved financing conditions, greater skilled labor utilization, and technology upgrades. Finally, we document heterogeneous effects across firm size and tradability, and threshold effects with respect to the country's institutional quality.
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Elderly Left Behind? How Older Workers Can Participate in the Modern Labor Market
Oliver Falck, Valentin Lindlacher, Simon Wiederhold
EconPol Forum,
No. 5,
2022
Abstract
In her 2021 State of the Union address, European Commission’s President Ursula von der Leyen announced that “[the EU] will invest in 5G and fiber. But equally important is the investment in digital skills.” Indeed, the EU Recovery and Resilience Facility, which runs until 2026, has earmarked substantial funds to tackle the digital divide, in acknowledgment of the fact that the EU is not only missing ICT specialists but also that many Europeans do not have sufficient digital skills to thrive in today’s society and labor market. Many observers argue that older workers in particular lack digital skills, suffering more often from computer anxiety and showing lower computer self-efficacy (Czaja et al. 2006). This lack of skills hampers their employability and productivity in a technologically fast-changing world.
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On the Employment Consequences of Automation and Offshoring: A Labor Market Sorting View
Ester Faia, Sébastien Laffitte, Maximilian Mayer, Gianmarco Ottaviano
Lili Yan Ing, Gene M. Grossman (eds), Robots and AI: A New Economic Era. Routledge: London,
2022
Abstract
We argue that automation may make workers and firms more selective in matching their specialized skills and tasks. We call this phenomenon “core-biased technological change”, and wonder whether something similar could be relevant also for offshoring. Looking for evidence in occupational data for European industries, we find that automation increases workers’ and firms’ selectivity as captured by longer unemployment duration, less skill-task mismatch, and more concentration of specialized knowledge in specific tasks. This does not happen in the case of offshoring, though offshoring reinforces the effects of automation. We show that a labor market model with two-sided heterogeneity and search frictions can rationalize these empirical findings if automation strengthens while offshoring weakens the assortativity between workers’ skills and firms’ tasks in the production process, and automation and offshoring complement each other. Under these conditions, automation decreases employment and increases wage inequality whereas offshoring has opposite effects.
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Micro-mechanisms behind Declining Labor Shares: Rising Market Power and Changing Modes of Production
Matthias Mertens
International Journal of Industrial Organization,
March
2022
Abstract
I derive a micro-founded framework showing how rising firm market power on product and labor markets and falling aggregate labor output elasticities provide three competing explanations for falling labor shares. I apply my framework to 20 years of German manufacturing sector micro data containing firm-specific price information to study these three distinct drivers of declining labor shares. I document a severe increase in firms’ labor market power, whereas firms’ product market power stayed comparably low. Changes in firm market power and a falling aggregate labor output elasticity each account for one half of the decline in labor's share.
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The Impact of Active Aggregate Demand on Utilisation-adjusted TFP
Konstantin Gantert
IWH Discussion Papers,
No. 9,
2022
Abstract
Non-clearing goods markets are an important driver of capacity utilisation and total factor productivity (TFP). The trade-off between goods prices and household search effort is central to goods market matching and therefore drives TFP over the business cycle. In this paper, I develop a New-Keynesian DSGE model with capital utilisation, worker effort, and expand it with goods market search-and-matching (SaM) to model non-clearing goods markets. I conduct a horse-race between the different capacity utilisation channels using Bayesian estimation and capacity utilisation survey data. Models that include goods market SaM improve the data fit, while the capital utilisation and worker effort channels are rendered less important compared to the literature. It follows that TFP fluctuations increase for demand and goods market mismatch shocks, while they decrease for technology shocks. This pattern increases as goods market frictions increase and as prices become stickier. The paper shows the importance of non-clearing goods markets in explaining the difference between technology and TFP over the business cycle.
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Benchmarking New Zealand's Frontier Firms
Guanyu Zheng, Hoang Minh Duy, Gail Pacheco
IWH-CompNet Discussion Papers,
No. 1,
2021
Abstract
New Zealand has experienced poor productivity performance over the last two decades. Factors often cited as reasons behind this are the small size of the domestic market and distance to international partners and markets. While the distance reason is one that is fairly insurmountable, there are a number of other small advanced economies that also face similar domestic market constraints. This study compares the relative performance of New Zealand’s firms to those economies using novel cross-country microdata from CompNet. We present stylised facts for New Zealand relative to the economies of Belgium, Denmark, Finland, Netherlands and Sweden based on average productivity levels, as well as benchmarking laggard, median and frontier firms. This research also employs an analytical framework of technology diffusion to evaluate the extent of productivity convergence, and the impact of the productivity frontier on non-frontier firm performance. Additionally, both labour and capital resource allocation are compared between New Zealand and the other small advanced economies. Results show that New Zealand’s firms have comparatively low productivity levels and that its frontier firms are not benefiting from the diffusion of best technologies outside the nation. Furthermore, there is evidence of labour misallocation in New Zealand based on less labour-productive firms having disproportionally larger employment shares than their more productive counterparts. Counter-factual analysis illustrates that improving both technology diffusion from abroad toward New Zealand’s frontier firms, and labour allocation across firms within New Zealand will see sizable productivity gains in New Zealand.
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On the International Dissemination of Technology News Shocks
João Carlos Claudio, Gregor von Schweinitz
IWH Discussion Papers,
No. 25,
2020
Abstract
This paper investigates the propagation of technology news shocks within and across industrialised economies. We construct quarterly utilisation-adjusted total factor productivity (TFP) for thirteen OECD countries. Based on country-specific structural vector autoregressions (VARs), we document that (i) the identified technology news shocks induce a quite homogeneous response pattern of key macroeconomic variables in each country; and (ii) the identified technology news shock processes display a significant degree of correlation across several countries. Contrary to conventional wisdom, we find that the US are only one of many different sources of technological innovations diffusing across advanced economies. Technology news propagate through the endogenous reaction of monetary policy and via trade-related variables. That is, our results imply that financial markets and trade are key channels for the dissemination of technology.
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Promoting Higher Productivity in China — Does Innovation Expenditure Really Matter?
Hoang Minh Duy, Filippo di Mauro, Jo Van Biesebroeck
Singapore Economic Review,
No. 5,
2020
Abstract
The slowing down of the global economy adds additional challenges to China? economic policies as the country orchestrates its transition to lower resource dependency and higher technology intensity of output. Are policies aimed at technologically advanced sectors the right answer? Drawing from a newly created dataset of firms? balance sheets over the period 1998?2013, matched with patents data until 2009, we uncover that expenditure in innovation had limited effect on boosting productivity, without generating a clear gain in overall productivity for the high-tech sector. As a matter of fact, there is a much higher dispersion in productivity outcomes in firms belonging to the low-technology sectors, which derives from a bunch of champions in those sectors scoring higher productivity dynamics than in the High-technology sectors. The paper finds those barriers to entry and in general, market power of incumbents in the high-tech generate less than optimal resource reallocation, which hampers the overall productivity. Policies should presumably aim at removing such obstacles rather than solely promote innovation expenditure.
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