Publications


Published Papers

  • Avelino, A., and Dall’erba, S. (2018). Comparing the economic impact of natural disasters generated by different input-output models. An application to the 2007 Chehalis River Flood (WA), Risk Analysis, accepted.
  • Dominguez, F., Dall’erba, S., Huang, S., Avelino, A., Mehran, A., Hu, H., Schmidt, A., Schick, L., and Lettenmaier, D. (2018). Tracking an Atmospheric River in a Warmer Climate: from Water Vapor to Economic Impacts, Earth System Dynamics, 9(1), 249-266. pdf-icon-32x32
  • Avelino, A. (2017). Disaggregating Input-Output Tables in Time: the Temporal Input-Output Framework, Economic Systems Research, 29(3), 313-344. pdf-icon-32x32    <codes & datasets>
  • Carrascal, A., Avelino, A., and Franco, A. (2017). Gray water and environmental externalities: International patterns of water pollution through a structural decomposition analysis, Journal of Cleaner Production,  165, 1174-1187. pdf-icon-32x32      <codes & datasets>
  • Avelino, A., Baylis, K., and Honey-Rosés, J. (2016). Goldilocks and the Raster Grid: Selecting Scale when Evaluating Conservation Programs, PLOS ONE, 11(12).  pdf-icon-32x32

 

Working Papers

  • 1. The Challenge of Estimating the Impact of Disasters: many approaches, many limitations and a compromise 

(submitted as a chapter for the second edition of the book Modeling Spatial and Economic Impacts of Disasters)

Andre F. T. Avelino and Geoffrey J. D. Hewings

Abstract: The recent upward trend in the direct costs of natural disasters is a reflection of both an increase in asset densities and the concentration of economic activities in hazard-prone areas. Although losses in physical infrastructure and lifelines are usually spatially concentrated in a few areas, their effects tend to spread geographically and temporally due to production chains and the timing and length of disruptions. Since the 1980’s, several techniques have been proposed to model higher-order economic impacts of disruptive events, most of which are based on the input-output framework. However, there is still no consensus for a preferred model to adopt. Available models tend to focus on just one side of the market or have theoretical flaws when incorporating both sides. In this paper, the Generalized Dynamic Input-Output framework (GDIO) is presented and its theoretical basis derived. It encompasses the virtues of intertemporal dynamic models with the explicit intratemporal modeling of production and market clearing, thus allowing supply and demand constraints to be simultaneously analyzed. Final demand is endogenized via a demo-economic extension to study the impact of displacement and unemployment post-disaster. The key roles of inventories, expectation’s adjustment, primary inputs, labor force and physical assets in disaster assessment are explored and previous limitations in the literature are addressed. It will be shown that the dynamic Leontief model, the sequential interindustry model and the traditional input-output model are all special cases of the GDIO framework.

Tags: Natural disasters, Production chain disruptions, Input-output, Higher-order effects

  • 2. Revisiting the Temporal Leontief Inverse: new insights on regional structural change

(revise and resubmit to Economic Systems Research)

Andre F. T. AvelinoAndre Carrascal Incera and Alberto Franco Solís

Abstract: The current availability of longer series of national/regional input-output tables, as well as the release of global input-output databases, has led to a growing body of the literature analyzing changes in the economic structure and their drivers. The most common technique applied is the structural decomposition analysis (SDA), a comparative statics exercise between two periods. Given SDA’ static nature, however, we cannot extract the evolution of industrial linkages from a time-series of annual input-output tables to understand the source of these changes. In response to such limitations, Sonis and Hewings (1998) proposed an alternative methodology denoted the Temporal Leontief Inverse (TLI). In contrast to a traditional SDA, the TLI focuses on industrial linkages only, but offers a dynamic framework to analyze their change. The evolutionary path of an industry’s multiplier and the contribution of the rest of the economy to it can be traced through the temporal changes in the fields of influence. However, Sonis and Hewings’ formulation only accounted for the simultaneous change in the whole economy from period to period. Hence, one could not isolate the contribution of a particular sector (or set thereof) to this evolutionary path to more precisely understand the underlying sources of its variation. In this paper, we modify the original formulation and devise a linear decomposition of the annual change to address the latter concerns. In a single region setting, we can isolate the contribution of structural changes in direct input requirements by sectors or group of sectors. In a multiregional setting, we can study the contribution of trade, foreign countries and technology to a particular industry. The methodology is illustrated by uncovering some hidden effects not captured in the application of the original TLI to Chicago by Okuyama et al. (2006). Finally, we combine the SDA with the extended TLI to introduce dynamics in the decomposition of technical changes.

Tags: Temporal Inverse, Structural Decomposition Analysis, Input-Output, Time Series

  • 3. A Social-Environmental Regional Sequential Interindustry Economic Model for Energy Planning: Evaluating the Impacts of New Power Plants in Brazil 

Andre F. T. Avelino, Geoffrey J. D. Hewings and Joaquim J. M. Guilhoto

Abstract: Energy planning is a multidimensional problem as it affects the economy, environment and local population in a spatially heterogeneous fashion. In this paper, we propose an integrated social-environmental economic model for energy planning analysis that estimates economic, emissions and public health impacts at different regional levels. By combining the traditional I-O framework with electrical and dispersion models, dose-response functions and GIS data, our model aims at expanding policy makers’ scope of analysis and providing an auxiliary tool to assess energy planning scenarios in Brazil both dynamically and spatially. A case study for wind power plants in Brazil was performed and the results highlight the unbalance between economic benefits and negative health effects across the wealthiest and poorest regions in the country.

Tags: Regional Economics, Input-Output

  • 4. An Extended Input-Output Model to Evaluate the Impact of
    Pension Spending on the Spanish Economy

(submitted to The Journal of Economics of Ageing)

Fernando Bermejo Patón, Andre F. T. Avelino and Eladio Febrero

Abstract: Given the new scenario imposed by the global crisis of 2008, most of the proposed pension reforms have focused on reducing the percentage of GDP dedicated to pensions, considering that less public debt will promote economic growth. However, such approach is increasingly seen as a controversial solution, since it leaves aside fundamental aspects related to the adequacy of pensions. This paper offers an alternative view of current reforms by considering pensioner benefits as transfers able to sustain production and employment instead of merely public spending that reduces the disposable resources of the economy. By using an Extended Input-Output model for the Spanish economy between 2006-2014 we find that pensioners’ spending kept the unemployment rate 6.5 percentage points lower than it should had being in 2014 and sustained a growing number of jobs in the service sectors. We also show, via a structural decomposition analysis, the negative impact the 2011 pension austerity reform had in the amount of output, value-added and labor sustained by pensioners by significantly reducing the annual adjustment in retiree’s benefits.

Tags: Pensions, Demographic Extended Input-Output Models

Research in Progress

  • 1. Following the Buck: Externalities of American Households in an Evolving Trading World

Andre F. T. AvelinoAndre Carrascal Incera and Alberto Franco Solís

Abstract: The growing fragmentation of production processes and expansion of international trade in the last decades have increase the scope and complexity of value added chains worldwide causing a significant rearrangement of sectoral linkages intra and interregionally. In terms of economic spillovers, this implies that a dollar entering a particular economy follows a different path than before, permeating in longer interregional feedback loops and creating additional multiplier effects outside its origin. However, it also implies that the environmental burden that such dollar embeds has changed in scale and spatial distribution. In this paper, we explore the evolution of these “paths” during 1997-2009 and highlight the main drivers of observed structural change that contribute to the surge or decline of economic spillovers and greenhouse gases emissions spatially. We specifically study the effects of an increase in income in the United States, the country with the largest trade volume in the world. We take advantage of the Extended Temporal Leontief Inverse framework, that allows tracing the evolutionary path of the American households’ multiplier in a dynamic fashion, isolating the contribution of expenditure patterns, income, trade and foreign structural change to the temporal evolution. We find similar growing multiplier effects inside and outside the US due to services and manufacturing respectively, but a declining local environmental burden due to changes in interindustrial relations inside the US with declining manufacturing. We also highlight the fragmentation process with declining foreign intraregional spillovers and increasing trade spillovers. Finally, structural and trade pattern changes in the EU-15 have induced larger spillovers from US consumption to the region with lower environmental impact while disproportionally increasing pollution in developing nations.

Tags: Temporal Leontief Inverse, Time-series Analysis, Trade, Dynamics

  • 2. Now Hiring: Seasonal Labor Requirements through a Quarterly I-O model

Andre Carrascal Incera, Andre F. T. AvelinoAlberto Franco Solís and Diana Gutierrez Posada

Abstract: After almost a decade of economic recession, unemployment rates have started to decrease across nations, and growth has slowly resumed. Nonetheless, the recovery in Spain has been slower and the composition of jobs has changed significantly from the pre-crisis period, with a higher share of temporary contracts. This has translated into increased variability in the employed-unemployed condition of the labor force along the year, which ultimately impacts seasonal final demand. Despite capturing economy-wide effects, current Input-Output models are still limited in their assessment of intra-year shocks because they are based on annual accounts. Hence, traditional employment multipliers per se offer little insight into these issues. Moreover, although demo-economic models introduce different labor statuses and consumption profiles, they also have an annual basis. In sum, intra-year seasonality in labor requirements has been largely ignored in the Input-Output framework, relying on a temporal aggregation that prevents capturing such employment movements. This topic is particularly important for impact assessments, especially in the case of those sectors involving seasonal production, such as some primary and services activities. Therefore, the aim of this paper is to introduce an Input-Output framework that merges intra-year tables and a cost-share model of employment requirements that yields jobs by contract duration and quarters, and inter-temporal production levels. This model follows the T-EURO method proposed by Avelino (2017) and an econometrically estimated translog cost function in line with Kim and Hewings (2015). This paper uses data from the World Input-Output Database and the Continuous Sample of Employment Histories for Spain to illustrate its application.

Tags: Labor market, Econometric Input-Output, Seasonality

  • 3. The Stock-Flow Framework for Disaster Analysis

Andre F. T. Avelino

Abstract: Forthcoming.

Tags: Disaster Economics, Recovery

  • 4. Can the Urban Sprawl of Madrid affect the Spanish National Economic Structure? A Multi-region, Multi-sectoral Perspective

Fernando Rubiera Morollón, Fernando Bermejo Patón and Andre F. T. Avelino

Abstract: Forthcoming.

Tags: Urban Sprawl, Demographic Extended Input-Output Models