How Far Does Economic Theory Explain Competitive Nonlinear Pricing in Practice?

Liberalisation of the British electricity market, in which previously monopolised regional markets were exposed to large-scale entry, is used to test the propositions of several recent theoretical papers on oligopolistic nonlinear pricing. Consistent with those theories, each oligopolist offered a single two-part electricity tariff, and a lump sum discount to consumers who purchased both electricity and gas. However, inconsistent with those theories, firms’ two-part tariffs are heterogeneous in ways that cannot be attributed to cost. We establish a series of stylised facts about the nature of these asymmetries between firms and use them to confront established theory

Poverty, Livelihoods and War Legacies: the Case of Post-War Rural Kosovo

This paper examines the effects of war on livelihood portfolios and welfare outcomes of rural households in Kosovo using the 2000 Kosovo Living Standards Measurement Survey. We question to what extent the legacy of war was experienced through selection into low return livelihood activities or through decreases in welfare generally. We first identify portfolios using a clustering algorithm which groups households pursuing similar combinations of activities. The emerging clusters are comparable to those described in more qualitative studies for Kosovo in the immediate post-conflict period. We then examine the determinants of livelihood portfolio choice and the consequences of these for welfare outcomes, controlling for war legacies and selection into specific portfolios. We find evidence of a relationship between a household’s war experience and their livelihood choices and that war exposure has different impacts on household welfare depending on the livelihood portfolio adopted. We also identify significant selection effects on welfare for three out of four of our livelihood clusters, highlighting the fact that selecting into a specific portfolio raised or lowered welfare above expected levels.

Energy Regulation, Roll Call Votes and Regional Resources: Evidence from Russia

This paper investigates the relative impact of regional energy production on the legislative choices of Russian Duma deputies on energy regulation between 1994 and 2003. We apply Poole’s optimal classification method of roll call votes using an ordered probit model to explain energy law reform in the first decade of Russia’s democratic transition. Our goal is to analyze the relative importance of home energy on deputies’ behavior, controlling for other factors such as party affiliation, electoral mandate, committee membership and socio-demographic parameters. We observe that energy resource factors have a considerable effect on deputies’ voting behavior. On the other hand, we concurrently find that regional economic preferences are constrained by the public policy priorities of the federal center that continue to set the tone in energy law reform in post-Soviet Russia.Energy Regulation, Energy Roll Law Reform, Energy Resources, Roll Call Votes, Legislative Politics, State Duma, Russia

The Blessing of Natural Resources: Evidence from a Peruvian Gold Mine

This paper studies the impact of Yanacocha, a large gold mine in Peru, on the local population. Using annual household data from 1997 to 2006, we nd robust evidence of a positive effect of the mine's demand of local inputs on real income. The effect, an average income increase of 1.7% per 10% additional mine's purchases, is only present in the mine's supply market and surrounding areas. We also nd evidence of improvements on measures of welfare and reduction of poverty. We examine and rule out that our results are driven by increased public expenditure associated to the mining revenue windfall. Using a spatial general equilibrium model, we interpret these results as evidence of net welfare gains generated by the mine's backward linkages and its multiplier effect.Natural resources, mining, local development

Patterns of population location in Auckland

This paper uses spatial statistical techniques to examine the economic determinants of residential location patterns in Auckland in 2006. The primary empirical focus of this paper is descriptive. We seek to establish the extent to which there are identifiable population subgroups that cluster together within the Auckland Urban Area, and further, to ascertain where these groups mainly live. It confirms previous findings of strong ethnic clustering and identifies clustering by qualification, income, and country of birth. It examines the interaction between incomes, land prices, and population density, and the relationship of land price with access to selected locational amenities.Residential location choice; local amenities; residential sorting

Artificial Intelligence and Machine Learning Approaches to Energy Demand-Side Response: A Systematic Review

Recent years have seen an increasing interest in Demand Response (DR) as a means to provide flexibility, and hence improve the reliability of energy systems in a cost-effective way. Yet, the high complexity of the tasks associated with DR, combined with their use of large-scale data and the frequent need for near real-time de-cisions, means that Artificial Intelligence (AI) and Machine Learning (ML) — a branch of AI — have recently emerged as key technologies for enabling demand-side response. AI methods can be used to tackle various challenges, ranging from selecting the optimal set of consumers to respond, learning their attributes and pref-erences, dynamic pricing, scheduling and control of devices, learning how to incentivise participants in the DR schemes and how to reward them in a fair and economically efficient way. This work provides an overview of AI methods utilised for DR applications, based on a systematic review of over 160 papers, 40 companies and commercial initiatives, and 21 large-scale projects. The papers are classified with regards to both the AI/ML algorithm(s) used and the application area in energy DR. Next, commercial initiatives are presented (including both start-ups and established companies) and large-scale innovation projects, where AI methods have been used for energy DR. The paper concludes with a discussion of advantages and potential limitations of reviewed AI techniques for different DR tasks, and outlines directions for future research in this fast-growing area

Village Economies and the Structure of Extended Family Networks

This paper documents how the structure of extended family networks in rural Mexico relates to the poverty and inequality of the village of residence. Using the Hispanic naming convention, we construct within-village extended family networks in 504 poor rural villages. Family networks are larger (both in the number of members and as a share of the village population) and out-migration is lower the poorer and the less unequal the village of residence. Our results are consistent with the extended family being a source of informal insurance to its members.extended family network, migration, village inequality, village marginality

Using Quantile Regression in Hedonic Analysis to Reveal Submarket Competition

A root concern of hedonic property value models is that some commonly-used estimators aggregate very diverse households into a single regression, which may explain the marked differences in implicit price estimates for the same housing attributes across studies. In this paper, we extend a model that captures household heterogeneity through submarket identification and use quantile regression analysis to explore the role submarket competition plays in setting housing prices in those price ranges where different submarkets occupy homes of similar price. We find evidence of direct competition between submarkets with different preferences for at least some homes in a single neighborhood market. We cluster packages of attributes into three broad indices: dwelling structure variables, location variables, and adjacency variables. In the price ranges of competition between two submarkets, there is a clear premium paid in one of the indexed attribute by the final occupant to ‘outbid’ a member from another submarket. The attributes that realize a premium are those that are expected from prior analysis on what those submarkets prefer; and these premiums introduce variation in housing prices that would not be captured by standard hedonic approaches. By examining hedonic parameter instability at different housing price levels, we uncover not only latent diversity among homeowners but direct competition between them that calls into question policy and market conclusions drawn from standard hedonic price models, especially large sample hedonic studies.

Behavioural patterns in aggregated demand response developments for communities targeting renewables

Encouraging consumers to embrace renewable energies and energy-efficient technologies is at stake, and so the energy players such as utilities and policy-makers are opening up a range of new value propositions towards more sustainable communities. For instance, developments of turn-key demand response aggregation and optimisation of distributed loads are rapidly emerging across the globe in a variety of business models focused on maximising the inherent flexibility and diversity of the behind-the-meter assets. However, even though these developments" added value is understood and of wide interest, measurement of the desired levels of consumer engagement is still on demonstration stages and assessment of technology readiness. In this paper, we analyse the characteristics of the loads, the behaviour of parameters, and in a final extent, the behaviour of each kind of consumer participating in aggregated demand scheduling. We apply both non-automatic and machine learning methods to extract the relevant factors and to recognise the potential consumer behaviour on a series of scenarios that are drawn using both synthetic data and living labs datasets. Our experimentation showcases a number of three patterns in which factors like the community"s demand volume and the consumer"s flexibility dominate and impact the performance of the tested development. The experimentation also makes current limitations arise within the existing electricity consumption datasets and their potential for inference and forecasting demand flexibility analytics.Comunidad de Madri

Measuring the economic impact of immigration: A scoping paper

This discussion paper has three objectives. Firstly, it provides a brief review of recent international empirical research on the labour market impact of immigration. The synthesis of this literature is facilitated by reference to the results from a recent meta-analysis of the impact of immigration on wages. Secondly, the paper briefly reviews international research on other dimensions of the economic impact of immigration, namely productivity and technical change, trade and international relations, the fiscal impact, socio-economic impacts and externalities, and economy-wide (general equilibrium) effects. The approach adopted in considering each of these impacts is to identify the main issues associated with the particular impact, followed by key international references and, where available, New Zealand references on the particular type of impact. The gaps in NZ research are then identified along with any difficulties with the data available for replicating the international studies in New Zealand. Thirdly, the paper seeks to identify feasible (in terms of data availability) suggestions for further research that would add to our knowledge of the economic impact of immigration in New Zealand