cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/7r5sxrcndt.1
title: Data for: Firm heterogeneity and trade-induced layoffs: An empirical investigation

description: Abstract of associated article: We use a novel data set with verified observations of trade-induced layoffs by U.S. firms to study the interaction between firm productivity and trade liberalization as key determinants of firm-level job destruction due to trade. We find that patterns of trade-induced layoffs are broadly consistent with the predictions for firm-level employment generated by the Melitz (2003) heterogeneous firms theory – the number of trade-induced layoffs increases with firm productivity for non-exporting firms but decreases with firm productivity for exporting firms. The fact that exporting firms incur trade-induced layoffs at all invites a refined interpretation of the theory. Our findings suggest that exporting firms may lay off some workers who work in production for their shrinking domestic segments, while also engaging in some within-firm reallocation of workers. We also find that, even after controlling for productivity and export status, larger firms lay off more workers due to trade competition.
DOI: 10.17632/9wmcwggbz8.1
title: Data for: A deterministic parametric metafrontier Luenberger indicator for measuring environmentally-sensitive productivity growth: A Korean fossil-fuel power case

description: Abstract of associated article: This paper contributes to the current literature by proposing an alternative parametric metafrontier productivity approach called the deterministic parametric metafrontier Luenberger Productivity Indicator (DPMLPI) for measuring environmentally sensitive productivity growth incorporating technological heterogeneities. The Luenberger productivity indicator is constructed based on a quadratic output directional distance function with undesirable outputs, and then combined with the deterministic metafrontier to develop DPMLPI. The DPMLPI can be decomposed into efficiency change, technological change and productivity growth gap. The productivity growth gap can be further divided into efficiency change gap and technological change gap. The parametric linear programming technique is used to estimate parameters and construct the metafrontier. An empirical study for the Korean fossil fuel power industry at the plant-level is conducted for the 2003–2011 period. The results show a 0.15% increase in environmentally-sensitive productivity growth, which is mainly driven by environmental technological change. The oil-fired power plants show higher levels than the coal-fired ones of environmentally sensitive productivity growth and technological change performance. Some related policy implications are also proposed for the Korean fossil-fuel power sector.
DOI: 10.17632/kmnygny53s.1
title: Data for: Driving factors behind carbon dioxide emissions in China: A modified production-theoretical decomposition analysis

description: Abstract of associated article: Research on the driving factors behind carbon dioxide emission changes in China can inform better carbon emission reduction policies and help develop a low-carbon economy. As one of important methods, production-theoretical decomposition analysis (PDA) has been widely used to understand these driving factors. To avoid the infeasibility issue in solving the linear programming, this study proposed a modified PDA approach to decompose carbon dioxide emission changes into seven drivers. Using 2005–2010 data, the study found that economic development was the largest factor of increasing carbon dioxide emissions. The second factor was energy structure (reflecting potential carbon), and the third factor was low energy efficiency. Technological advances, energy intensity reductions, and carbon dioxide emission efficiency improvements were the negative driving factors reducing carbon dioxide emission growth rates. Carbon dioxide emissions and driving factors varied significantly across east, central and west China.
DOI: 10.17632/kwffhcb5jj.1
title: Data for: Economic integration agreements, border effects, and distance elasticities in the gravity equation

description: Abstract of associated article: Using a novel common econometric specification, we examine the measurement of three important effects in international trade that historically have been addressed largely separately: the (partial) effects on trade of economic integration agreements, international borders, and bilateral distance. First, recent studies focusing on precise and unbiased estimates of effects of economic integration agreements (EIAs) on members׳ trade may be biased upward owing to inadequate control for time-varying exogenous unobservable country-pair-specific changes in bilateral export costs (possibly decreasing the costs of international relative to intranational trade); we find evidence of this bias using a properly specified gravity equation. Second, our novel methodology yields statistically significant estimates of the declining effect of “international borders” on world trade, now accounting for endogenous EIA formations and unobserved country-pair heterogeneity in initial levels. Third, we confirm recent evidence providing a solution to the “distance-elasticity puzzle,” but show that these estimates of the declining effect of distance on international trade are biased upward by not accounting for endogenous EIA formations and unobserved country-pair heterogeneity. We conclude our study with numerical general equilibrium comparative statics illustrating a substantive difference on trade effects of EIAs with and without allowance for the declining effects of international borders on world trade.
DOI: 10.17632/nptf8sc9ws.1
title: Data for: Consumers' willingness to pay for green electricity: A meta-analysis of the literature

description: Abstract of associated article: At present, electricity generated from power plants using renewable sources costs more than electricity generated from power plants using conventional fuels. Consumers bear these expenses directly or indirectly through higher prices for renewable energy or taxes. The number of studies published over the last few years focusing on people's preferences for renewables has increased steadily, making it more and more difficult to identify key explanatory factors that determine people's willingness-to-pay (WTP) for renewables. We present results of a meta-regression on valuation of consumer preferences for a larger share of renewable energy in their electricity mix. Our meta-regression results reveal a number of important factors that explain the differences in WTP values for renewable energy. Different valuation methods show widely different values, with choice experiments producing the highest estimates. Our results further indicate that consumers' WTP for green electricity differs by source, with hydropower being the least valued. Variables that are often omitted from primary valuation studies are important in explaining differences in values. These variables describe individual and household characteristics as well as information on the type of power plant that will be replaced by renewables. Further, the marginal effect of a survey conducted in the US is pronounced. We also assess the potential for using the results for out-of-sample value transfer and find a median error of 21%.
DOI: 10.17632/rm5dygcpsy.1
title: Data for: Forecasting ability of the investor sentiment endurance index: The case of oil service stock returns and crude oil prices

description: Abstract of associated article: Using a binomial probability distribution model this paper creates an endurance index of oil service investor sentiment. The index reflects the probability of the high or low stock price being the close price for the PHLX Oil Service Sector Index. Results of this study reveal the substantial forecasting ability of the sentiment endurance index. Monthly and quarterly rolling forecasts of returns of oil service stocks have an overall accuracy as high as 52% to 57%. In addition, the index shows decent forecasting ability on changes in crude oil prices, especially, WTI prices. The accuracy of 6-quarter rolling forecasts is 55%. The sentiment endurance index, along with the procedure of true forecasting and accuracy ratio, applied in this study provides investors and analysts of oil service sector stocks and crude oil prices as well as energy policy-makers with effective analytical tools.
DOI: 10.5287/bodleian:wxp5d9yad
title: Data for numerical examples in "Generative Benchmark Models for Mesoscale Structure in Multilayer Networks"
DOI: 10.17632/7dd8p457w8.1
title: Data for: Efficiency and environmental factors in the US electricity transmission industry

description: Abstract of associated article: The electricity industry in most developed countries has been restructured over recent decades with the aim of improving both service quality and firm performance. Regulated segments (e.g. transmission) still provide the infrastructure for the competitive segments and represent a significant share of the total price paid by final customers. However there is a lack of empirical studies that analyse firms' performance in the electricity transmission sector. In this paper an empirical analysis of US electricity transmission companies is conducted for the period 2001–2009. We use alternative stochastic frontier models that allow us to identify the determinants of firms' inefficiency. These models also permit us to control for weather conditions, potentially one of the most decisive uncontrollable factors in electricity transmission. Our results suggest that weather conditions clearly have an influence on transmission costs and that there is room for improvement in the management of US electricity transmission systems. Regulators should also be aware that more adverse conditions generate higher levels of inefficiency, and that achieving long-term efficiency improvements tends to worsen firms' short-term relative performance.
DOI: 10.17632/8f7g9gkxp4.1
title: Data for: Consumers' willingness to pay for renewable and nuclear energy: A comparative analysis between the US and Japan

description: Abstract of associated article: This paper examines consumers' willingness to pay for nuclear and renewable electricity as two alternatives to fossil fuels for the reduction of greenhouse gas emissions. We conduct a choice experiment of consumer-stated preferences on the basis of an online survey in four US states and Japan after the Fukushima nuclear plant accident. First, the results suggest that US consumers' willingness to pay for a 1% decrease in greenhouse gas emissions is $0.31 per month, which is similar to the results for the US a decade ago. Japanese consumers show a slightly lower willingness to pay of $0.26 per month. Second, the average consumer in both countries expresses a negative preference for increases in nuclear power in the fuel mix (to a greater extent in Japan). Third, renewable energy sources were endorsed by both US and Japanese consumers, who show a willingness to pay $0.71 and $0.31 per month for a 1% increase in the use of renewable source energy. This study also examines the differences in respondents' characteristics. Approximately 60% of the US respondents who did not change their perception concerning the use of nuclear energy subsequent to the Fukushima nuclear crisis have almost no preference for variation in nuclear power, which is in stark contrast to the Japanese respondents' opposition to nuclear energy.
DOI: 10.17632/m2x48prmcz.1
title: Data for: Sources of energy productivity change in China during 1997–2012: A decomposition analysis based on the Luenberger productivity indicator

description: Abstract of associated article: Given that different energy inputs play different roles in production and that energy policy decision making requires an evaluation of productivity change in individual energy input to provide insight into the scope for improvement of the utilization of specific energy input, this study develops, based on the Luenberger productivity indicator and data envelopment analysis models, an aggregated specific energy productivity indicator combining the individual energy input productivity indicators that account for the contributions of each specific energy input toward energy productivity change. In addition, these indicators can be further decomposed into four factors: pure efficiency change, scale efficiency change, pure technology change, and scale of technology change. These decompositions enable a determination of which specific energy input is the driving force of energy productivity change and which of the four factors is the primary contributor of energy productivity change. An empirical analysis of China's energy productivity change over the period 1997–2012 indicates that (i) China's energy productivity growth may be overestimated if energy consumption structure is omitted; (ii) in regard to the contribution of specific energy input toward energy productivity growth, oil and electricity show positive contributions, but coal and natural gas show negative contributions; (iii) energy-specific productivity changes are mainly caused by technical changes rather than efficiency changes; and (iv) the Porter Hypothesis is partially supported in China that carbon emissions control regulations may lead to energy productivity growth.
DOI: 10.17632/v7j8ynryj6.1
title: Data for: A Darwinian perspective on “exchange rate undervaluation”

description: Abstract of associated article: This paper studies how status competition for marriage partners can generate surprising effects on the real exchange rate (RER). In theory, a rise in the sex ratio (increasing relative surplus of men) can generate a decline in the RER. The effect can be quantitatively large if the biological desire for a marriage partner is strong. We also provide within-China and cross-country empirical evidence to support the theory. As an application, our cross-country estimation suggests that sex ratio as well as other factors in the existing literature can account for the recent evolution in Chinese RER almost completely.
DOI: 10.17632/2rf7n9mwwk.1
title: Data for: Search costs and equilibrium price dispersion in auction markets

description: Abstract of associated article: A leading explanation for price dispersion in posted-price markets is search costs. We incorporate this insight into a model of competing second-price auctions similar to eBay. By doing so, we extend the narrow literature on competing auctions to capture price dispersion, and grow the already large literature on price dispersion to include auctions. We provide evidence on search costs and price dispersion using data collected from eBay, identifying search costs by exploiting a discontinuity in the visibility of auctions due to eBay׳s search tool.
DOI: 10.17632/69xhww8jcj.1
title: Data for: Discounting behavior: A reconsideration

description: Abstract of associated article: We re-evaluate the theory, experimental design and econometrics behind claims that individuals exhibit non-constant discounting behavior. Theory points to the importance of controlling for the non-linearity of the utility function of individuals, since the discount rate is defined over time-dated utility flows and not flows of money. It also points to a menagerie of functional forms to characterize different types of non-constant discounting behavior. The implied experimental design calls for individuals to undertake several tasks to allow us to identify these models, and to several treatments such as multiple horizons and the effect of allowing for a front end delay on earlier payments. The implied econometrics calls for structural estimation of th`e theoretical models, allowing for joint estimation of utility functions and discounting functions. Using data collected from a representative sample of 413 adult Danes in 2009, we draw surprising conclusions. Assuming an exponential discounting model we estimate discount rates to be 9% on average. We find no evidence to support quasi-hyperbolic discounting or “fixed cost” discounting, and only modest evidence to support other specifications of non-constant discounting. Furthermore, the evidence for non-constant discounting, while statistically significant, is not economically significant in terms of the size of the estimated discount rates. We undertake extensive robustness checks on these findings, including a detailed review of the previous, comparable literature.
DOI: 10.17632/75t8dsm9f2.1
title: Data for: Modelling interregional links in electricity price spikes

description: Abstract of associated article: Abnormally high price spikes in spot electricity markets represent a significant risk to market participants. As such, a literature has developed that focuses on forecasting the probability of such spike events, moving beyond simply forecasting the level of price. Many univariate time series models have been proposed to deal with spikes within an individual market region. This paper is the first to develop a multivariate self-exciting point process model for dealing with price spikes across connected regions in the Australian National Electricity Market. The importance of the physical infrastructure connecting the regions on the transmission of spikes is examined. It is found that spikes are transmitted between the regions, and the size of spikes is influenced by the available transmission capacity. It is also found that improved risk estimates are obtained when inter-regional linkages are taken into account.
DOI: 10.17632/gpwvfby3vg.1
title: Data for: Substitution elasticities between GHG-polluting and nonpolluting inputs in agricultural production: A meta-regression

description: Abstract of associated article: This paper reports meta-regressions of substitution elasticities between greenhouse gas (GHG) polluting and nonpolluting inputs in agricultural production, which is the main feedstock source for biofuel in the U.S. We treat energy, fertilizer, and manure collectively as the “polluting input” and labor, land, and capital as nonpolluting inputs. We estimate meta-regressions for samples of Morishima substitution elasticities for labor, land, and capital vs. the polluting input. Much of the heterogeneity of Morishima elasticities can be explained by type of primal or dual function, functional form, type and observational level of data, input categories, number of outputs, type of output, time period, and country categories. Each estimated long-run elasticity for the reference case, which is most relevant for assessing GHG emissions through life-cycle analysis, is greater than 1.0 and significantly different from zero. Most predicted long-run elasticities remain significantly different from zero at the data means. These findings imply that life-cycle analysis based on fixed proportion production functions could provide grossly inaccurate measures of GHG of biofuel.
DOI: 10.17632/thz9j3rz7r.1
title: Data for: Macroeconomic volatility: The role of the informal economy

description: Abstract of associated article: Many countries have a large informal economy that is poorly measured in the national accounts. I develop a two-sector small open economy business cycle model where one sector is formal and the other is informal, and explore the effect that the informal sector has on measured business cycles. I show that if the informal economy is poorly measured, the model can generate a volatility of measured consumption that is higher than that of output, as observed in many developing countries and some developed countries, even though actual consumption is not nearly as volatile. My results illustrate the importance of the informal sector and its mis-measurement in understanding measured cyclical fluctuations.
DOI: 10.17632/8snpt9ym3x.1
title: Data for: Energy price shocks and economic activity: Which energy price series should we be using?

description: Abstract of associated article: There is not one primary energy market and the price of oil is not a good proxy for many alternative energy prices. Therefore, this paper explores the effects of alternative energy price shocks on economic activity, and examines the relative performance of these alternative measures in predicting state level economic activity using the Davidson and MacKinnon J-test. The alternative energy price series considered are as follows: gasoline, diesel, natural gas, heating oil, and electricity. Alternative measures of energy price shocks produce different patterns of impulse responses than oil price shocks. Additionally, overwhelming evidence indicates that alternative energy price models, excluding models containing the price of gasoline, outperform the baseline model containing the price of oil for many states, particularly at short-to-mid forecast horizons. Using alternative energy prices should lead to a more accurate modeling of the energy price–macroeconomy relationship.
DOI: 10.17632/gb9r3gkpnb.1
title: Data for: Evolution of the world crude oil market integration: A graph theory analysis

description: Abstract of associated article: This paper investigates the evolution of the world crude oil market and the pricing power for major oil-producing and oil-consuming countries using graph theory. A minimal spanning tree for the world crude oil market is constructed and some empirical results are given. The integration of the world crude oil market is verified. Furthermore, the world crude oil market is characterised as a geographical and organisational structure. The crude oil markets of adjacent countries or regions tend to link together, while OPEC is well-integrated. We also found that the links in the South and North American region and the African region are relatively stable. The crude oil markets in the U.S., Angola and Saudi Arabia take up the core, with a higher ‘betweenness centrality’ and lower ‘farness’, whereas the markets in the East and Southeast Asian countries are on the fringe. Finally, the degree of globalisation for the world crude oil market is becoming further entrenched, verified by a decreasing normalised tree length; hence, its systemic risk may increase due to the future uncertainty of world politics.
DOI: 10.17632/j2czwn785d.1
title: Data for: The employment consequences of private equity acquisitions: The case of institutional buy outs

description: Abstract of associated article: There is a growing controversy as to the impact of private equity acquisitions, especially in terms of their impact on employment and subsequent organizational performance. It has been suggested that closer owner supervision and the injection of a new management team revitalize the acquired organization and unlock dormant capabilities and value. However, both politicians and trade unionists suggest that private equity acquirers may significantly reallocate value away from employees to short term investors, typically through layoffs and reduced wages, which may undermine future organizational sustainability. This article investigates this in the context of a sample of institutional buy outs (IBOs) undertaken in the UK between 1997 and 2006. Specifically we examine the impact of IBOs on both employment and remuneration against two control groups of non-acquired firms. In designing our study we follow the empirical approach taken by Conyon et al. (2001, 2002) in investigating the employment consequences of regular takeovers. Our main finding is a significant loss in employment in firms subject to an IBO in the year immediately following the acquisition as well as lower wage rates, when compared to either of the two control groups. Furthermore, we find no evidence of a subsequent improvement either in productivity or profitability in the acquired businesses.
DOI: 10.17632/wmx3gwj574.3
title: Architectures of artificial neural networks for predicting shelf-life of oil-in-water emulsion

description: This data includes information on structures of 6 artificial neural networks aimed to analyze data from the shelf-life testing experiment and predict the changes in peroxide value, creaming index and total sensory value during the period of storage.