Theory, Reality, and Performativity in Markets

A bstract .   The purpose of this article is to analyze the relation between scientific knowledge in the form of theories and the world that such theories are about. The focus is on market theories. I argue that everyday knowledge, conceptualized using the notion of "lifeworld," is the bedrock of scientific knowledge. I also make two distinctions, one between types of markets and one between principles of order in markets. There are two different types of markets, fixed-role markets and switch-role markets, and no existing theory can be used to explain both of them. In fixed-role markets, such as a producer market of garments, actors are identified as either sellers or buyers. In switch-role markets, such as the stock exchange market or currency market, actors are not identified with one role. The other distinction is between standard and status markets. In a status market, order is maintained because the identities of actors on both sides of the market are ranked according to status, which is a more entrenched social construction than the commodity traded in the market. In a market characterized by standards, the situation is reversed: the commodity is a more entrenched social construction than the social status of actors in the market. These distinctions are the backdrop of my analysis of the idea that markets are performed. It is concluded that the performativity approach is useful today for analyzing switch-role markets. A further conclusion is that neoclassical economic theory can be used in understanding switch-role markets, but not fixed-role markets.     

Empirical Analysis of Limit Order Markets

We provide empirical restrictions of a model of optimal order submissions in a limit order market. A trader's optimal order submission depends on the trader's valuation for the asset and the trade-offs between order prices, execution probabilities and picking off risks. The optimal order submission strategy is a monotone function of a trader's valuation for the asset. We test the monotonicity restriction in a sample of order submissions and their realized outcomes from the Stockholm Stock Exchange. We do not reject the monotonicity restriction for buy orders or sell orders considered separately, but reject the monotonicity restriction for buy and sell orders considered jointly.     

GEL statistics under weak identification

The central concern of this paper is the provision in a time series moment condition framework of practical recommendations of confidence regions for parameters whose coverage probabilities are robust to the strength or weakness of identification. To this end we develop Pearson-type test statistics based on GEL implied probabilities formed from general kernel smoothed versions of the moment indicators. We also modify the statistics suggested in Guggenberger and Smith (2008) for a general kernel smoothing function. Importantly for our conclusions, we provide GEL time series counterparts to GMM and GEL conditional likelihood ratio statistics given in Kleibergen (2005) and Smith (2007). Our analysis not only demonstrates that these statistics are asymptotically (conditionally) pivotal under both classical asymptotic theory and weak instrument asymptotics of Stock and Wright (2000) but also provides asymptotic power results in the weakly identified time series context. Consequently, the empirical null rejection probabilities of the associated tests and, thereby, the coverage probabilities of the corresponding confidence regions, should not be affected greatly by the strength or otherwise of identification. A comprehensive Monte Carlo study indicates that a number of the tests proposed here represent very competitive choices in comparison with those suggested elsewhere in the literature.     

How Subprime Borrowers and Mortgage Brokers Shared the Pie

We develop an equilibrium model for origination fees charged by mortgage brokers and show how the equilibrium fee distribution depends on borrowers' valuation for their loans and their information about fees. We use noncrossing quantile regressions and data from a large subprime lender to estimate conditional fee distributions. Given the fee distribution, we identify the distributions of borrower valuations and informedness. The level of informedness is higher for larger loans and in better educated neighborhoods. We quantify the fraction of the surplus from the mortgage that goes to the broker, and how it decreases as the borrower becomes more informed.     

Can Technology-Specific Deployment Policies Be Cost-Effective? The Case of Renewable Energy Support Schemes

While there is relatively limited disagreement on the general need for supporting the deployment of renewable energy sources for electricity generation (RES-E), there are diverging views on whether the granted support levels should be technology-neutral or technology-specific. In this review paper we question the frequently stressed argument that technology-neutral schemes will promote RES-E deployment cost-effectively. We use a simple partial equilibrium model of the electricity sector with one representative investor as a vehicle to synthesize the existing literature, and review potential rationales for technology-specific RES-E support. The analysis addresses market failures associated with technological development, long-term risk taking, path dependencies as well as various external costs, all of which drive a wedge between the private and the social costs of RES-E deployment. Based on analytical insight and a review of empirical literature, we conclude that the relevance of these market failures is typically heterogeneous across different RES-E technologies. The paper also discusses a number of possible caveats to implementing cost-effective technology-specific support schemes in practice, including the role of various informational and politico-economic constraints. While these considerations involve important challenges, neither of them suggests an unambiguous plea for technology-neutral RES-E support policies either. We close by highlighting principles for careful RES-E policy design, and by outlining four important avenues for future research.     

Economic and environmental effects of replacing bottom trawling with fishing with creels

Bottom trawling is associated with negative external effects such as seafloor pressure and high fuel use. Replacing bottom trawls with passive gear, such as creels, is therefore interesting for policymakers. We investigate the response of the Norway lobster fishery in Sweden to an expanded creel area. Using an economic model (FishRent), we analyse fleet structure, net present value and two environmental indicators under five management scenarios. Our results show that expanding the creel area increases the number of creel fishers, while some trawlers leave the fishery. In total, the net present value and the environmental performance of the fishery improve.     

Firm-level effects of offshoring of materials and services on relative labor demand

Based on firm-level data over the period 1997–2002 for the Swedish manufacturing sector the objective of this paper is to analyze relative labor demand effects due to offshoring, separating between materials and services offshoring and also geographical location of trade partner. Overall, our results give no support to the fears that offshoring of materials or services lead to out-location of high-skilled activity in Swedish firms. Rather, this paper finds evidence that the aggregate effects from offshoring lead to increasing relative demand of high-skilled labor, mainly due to services offshoring to middle income countries.     

Service-sector competition,innovation and R&D

The central prediction of the Aghion, Bloom, Blundell and Howitt model is an inverted U-shaped relationship between innovation and competition. The model is built on the assumption of a product market and has not yet been tested on the service sector. Using detailed firm-level data on Swedish service-sector firms, we find evidence of an inverse U-shaped relationship for exporting service-sector firms. A further breakdown of innovation expenditures shows that the inverse U-shaped pattern holds for intramural R&D and training, but not for extramural R&D. Finally, the results indicate that as competition increases, small firms tend to seek strategic alliances with competitors, whereas large firms tend to reduce collaboration with competitors. The behavior of large firms can partly be due to their superior capacity to handle innovation projects internally, which will become more important if increased competition results in higher pay-offs to innovation.     

An Econometric Analysis of Global Waste Paper Recovery and Utilization

The main purpose of this paper is to provide aneconometric analysis of the most importantdeterminants of inter-country differences inwaste paper recovery and utilization rates. Byemploying pooled time series and cross-sectiondata over 49 countries worldwide and sevenyears, the paper concludes that relative wastepaper recovery and use depend largely onlong-standing economic factors such aspopulation intensity and competitiveness in theworld market for paper and board products. Wealso find evidence that supports the conjecturethat rich countries tend to recover relativelymore waste paper than is the case in low-incomecountries, reflecting the higher demand forwaste management and environmental policies inmore developed economies. As recovery andutilization rates are determined by economicand demographic characteristics the degree ofpolicy flexibility in affecting these rates maybe limited. In particular, an ambitiousutilization rate target may be very costly toenforce as it can conflict with existing tradepatterns of paper and board products as well aswith other environmental goals. Additionalpolicy targets may therefore be desirable,especially since paper recycling is motivatedprimarily by environmental concerns and seldomis a benign activity in itself.