Trade liberalization, poverty and efficient equity

Harrison, Glenn W.; Rutherford, Thomas F.; Tarr, David G.

doi:10.1016/s0304-3878(02)00135-9

Cited by 70 publications

(41 citation statements)

References 16 publications

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“…This was one of the key conclusions of the October 2000 Conference on Poverty and the International Economy, organized by the Swedish Parlia mentary Commission on Global Development and the World Bank 1 . This observation has also been made in recent empirical studies by Coxhead and Warr (1995), Harrison, Rutherford, and Tarr (2000), Hertel, Preckel, Cranfield, and Ivanic (2001), and Warr (2001), each discussed in more detail below. The importance of factor market effects arises because households tend to be much more specialized with regard to factor earnings (that is, income derived from productive factors such as labor, capital, and land) than they are with regard to consumption.…”

Section: Introductionsupporting

confidence: 65%

“…While this is not a trade liberalization study, the nature of the shock is not dissimilar since the adjustments are transmitted through commodity and factor markets. Harrison, Rutherford, and Tarr (2000) find that factor price changes drive the incidence of trade liberalization in Turkey. They demonstrate this by employing three counterfactuals in which the 40…”

Section: The Factor Income Linkmentioning

confidence: 90%

“…5 See Coxhead and Warr (1995), Harrison, Rutherford, and Tarr (2000), Warr (2001), andHertel, Preckel, Cranfield, andIvanic (2001). 6 The Social Accounting Matrix -upon which the credibility of the results hinges -was developed using a numerous data sources, including statistical publications from the Moroccan government, the World Bank (including the RMSM data base), the Food and Agricultural Organization, the International Monetary Fund, various Royaume du Maroc statistical volumes (see Löfgren's paper for details).…”

Section: General-equilibrium Simulationmentioning

confidence: 99%

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Estimating the Poverty Impacts of Trade Liberalization

Reimer¹

2002

Policy Research Working Papers

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Section: Introductionsupporting

confidence: 65%

Section: The Factor Income Linkmentioning

confidence: 90%

Section: General-equilibrium Simulationmentioning

confidence: 99%

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Estimating the Poverty Impacts of Trade Liberalization

Reimer¹

2002

Policy Research Working Papers

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“…Similarly-yet without providing heterogeneous feedback into the CGE model-micro-accounting techniques on the basis of household survey data that apply changes in factor prices at the individual level using household surveydata could be used to increase household heterogeneity. In an assessment of Russia's accession to the World Trade Organization (WTO), Harrison et al (2000) however find differences in poverty and distributional outcomes between a model with ten representative household groups and a model with 55,000 households to be negligible.…”

Section: Introductionmentioning

confidence: 98%

Micro-econometric and Micro-Macro Linked Models: Sequential Macro-Micro Modelling with Behavioral Microsimulations

Lay

2017

Advances in African Economic, Social and Political Development

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“…Despite these limitations, these illustrations point out the importance of attending to the risk preference assumptions imposed in policy evaluations. Recent efforts in modelling multiple households in computable general equilibrium have been driven by concerns about the impacts of trade reform on poverty in developing countries, since one can only examine those by identifying the poorest households: see Harrison, Rutherford and Tarr [2003] and Harrison, Rutherford, Tarr and Gurgel [2004]. Clearly one would expect risk aversion to be a particularly important factor for households close to or below the absolute poverty line.…”

mentioning

confidence: 99%

Theory, Experimental Design, and Econometrics Are Complementary (And So Are Lab and Field Experiments)

Harrison¹,

Lau²,

Rutström³

2015

Handbook of Experimental Economic Methodology

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ABSTRACT. Experiments are conducted with various purposes in mind including theory testing, mechanism design and measurement of individual characteristics. In each case a careful researcher is constrained in the experimental design by prior considerations imposed either by theory, common sense or past results. We argue that the integration of the design with these elements needs to be taken even further. We view all these elements that make up the body of research methodology in experimental economics as mutually dependant and therefore take a systematic approach to the design of our experimental research program. Rather than drawing inferences from individual experiments or theories as if they were independent constructs, and then using the findings from one to attack the other, we recognize the need to constrain the inferences from one by the inferences from the other. Any data generated by an experiment needs to be interpreted jointly with considerations from theory, common sense, complementary data, econometric methods and expected applications. We illustrate this systematic approach by reference to a research program centered on large artefactual field experiments we have conducted in Denmark. An important contribution that grew out of our work is the complementarity between lab and field experiments. † Department of Risk Management & Insurance and Center for the Economic Analysis of Risk, Robinson College of Business, Georgia State University, USA (Harrison); Newcastle University Business School, University of Newcastle (Lau); and Robinson College of Business, Georgia State University, USA (Rutström). E-mail contacts: gharrison@gsu.edu, morten.lau@newcastle.ac.uk and erutstrom@gmail.com. Steffen Andersen and Melonie Sullivan have made significant contributions to the research discussed here. We thank the U.S. National Science Foundation for research support under grants NSF/HSD 0527675 and NSF/SES 0616746, and the Danish Social Science Research Council for research support under projects 24-02-0124 and 275-08-0289. There is a growing literature of experiments performed outside of university research laboratories, building on the pioneering work of Peter Bohm over many years, starting in the 1970s. Dufwenberg and Harrison [2008; p.214ff.] provide a posthumous appreciation of his motivation: "Peter was drawn to conduct field experiments long before laboratory experiments had become a staple in the methodological arsenal of economists. Just as some experimentalists do not comprehend why one would ask questions with no real economic consequences, or care too much about the responses to such questions, Peter began doing field experiments simply because they answered the questions he was interested in. He did not come to field experiments because of any frustration with lab experiments, or from any long methodological angst about laboratory experiments: it was just obvious to him that experiments needed field referents to be interesting. He later became interested in the methodological differences between labo...

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Trade liberalization, poverty and efficient equity

Cited by 70 publications

References 16 publications

Estimating the Poverty Impacts of Trade Liberalization

Estimating the Poverty Impacts of Trade Liberalization

Micro-econometric and Micro-Macro Linked Models: Sequential Macro-Micro Modelling with Behavioral Microsimulations

Theory, Experimental Design, and Econometrics Are Complementary (And So Are Lab and Field Experiments)

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