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Meta-Regression Estimates for CGE Models: A Case Study for Input Substitution Elasticities in Production Agriculture AgEcon
Boys, Kathryn A.; Florax, Raymond J.G.M..
The selection of appropriate parameters for computable general equilibrium (CGE) models critically affects the results of applied economic modeling exercises. Valid and reliable parameter selection models are needed, and typically comprise direct estimation, expert opinion, or copycatting of results from seminal studies. The purpose of this study is to use meta-analysis to summarize and more accurately estimate elasticities of input substitution, specifically between labor and other inputs in agricultural production. We construct a comprehensive database of elasticity estimates through an extensive literature review, and perform a meta-regression analysis to identify structural sources of variation in elasticity estimates sampled from primary studies. The...
Tipo: Conference Paper or Presentation Palavras-chave: Meta-analysis; Cross-price elasticity; Input substitu¬tion; Agricultural production; CGE parameters; Demand and Price Analysis; C13; C68; Q13.
Ano: 2007 URL: http://purl.umn.edu/9683
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The demand for alcohol: a meta-analysis of elasticities AgEcon
Gallet, Craig A..
Numerous studies have estimated elasticities of alcohol demand using different procedures. Because of widespread differences in demand estimates, however, it is difficult to synthesise the literature into coherent meaning. This study improves our understanding of alcohol demand by reporting results from a meta-analysis of 132 studies. Specifically, regressing estimated price, income and advertising elasticities of alcohol on variables accounting for study characteristics, we find alcohol elasticities to be particularly sensitive to demand specification, data issues and various estimation methods. Furthermore, compared to other alcoholic beverages, beer elasticities tend to be more inelastic.
Tipo: Journal Article Palavras-chave: Alcohol demand; Elasticity; Meta-analysis; Demand and Price Analysis.
Ano: 2007 URL: http://purl.umn.edu/118323
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A meta-analysis of the response of calorie demand to income changes AgEcon
Ogundari, Kolawole; Abdulai, Awudu.
Over the past three decades, several studies have analyzed the response of calorie intake to income with varying and inconclusive results. This paper review these studies and employs meta-analysis to examine the potential bias in the calorie-income elasticity, as well as the impact of specific study attributes on these elasticities reported in the empirical literature. A total of 40 studies which yielded 99 estimated elasticities were considered. The results show the presence of publication (reporting) selection bias in the reported elasticities. Besides, the estimates revealed evidence of positive and significant empirical effect of income on calorie intake from all the studies that goes beyond publication bias. Study attributes such as ranking of the...
Tipo: Presentation Palavras-chave: Calorie-income elasticity; Heterogeneity; Meta-analysis; Agricultural and Food Policy; Consumer/Household Economics; Demand and Price Analysis; Food Consumption/Nutrition/Food Safety; D12; C01.
Ano: 2012 URL: http://purl.umn.edu/123287
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Interfuel Substitution: A Meta-Analysis AgEcon
Stern, David I..
Interfuel substitutability has been of longstanding interest to energy economists and policy makers. However, there has been no quantitative meta-analysis of this literature. This research report fills this gap by analysing a broad sample of studies of interfuel substitution in the industrial sector, manufacturing industry or sub-industries, and macro-economy of a variety of developed and developing economies. The primary study sample size has been included in the meta-regression to control for publication bias. At the industrial level, results for the shadow elasticities of substitution between coal, oil, gas, and electricity for forty-six primary studies show that, except for gas-electricity and coal-electricity, there are easy substitution...
Tipo: Report Palavras-chave: Meta-analysis; Energy; Substitution; Elasticity; Interfuel; Environmental Economics and Policy; Resource /Energy Economics and Policy; D24; Q40.
Ano: 2009 URL: http://purl.umn.edu/94882
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Agricultural Trade Policy Modelling: Insights from a Meta-Analysis of Doha Development Agenda Outcomes AgEcon
Hess, Sebastian; von Cramon-Taubadel, Stephan.
In a meta-analysis of trade policy models, Hess and von Cramon-Taubadel (2008) use over 5800 simulated welfare effects from 110 studies of potential Doha Development Agenda outcomes to identify characteristics of models, data and policy experiments that influence simulation results. This meta-analysis, which is recapitulated here, produces plausible results and explains a significant proportion of the variation in simulated welfare effects. However, due to insufficient documentation and the complexity of the general and partial equilibrium models in the literature sample, many explanatory variables employed in this analysis are binary. This precludes more detailed analysis of their impacts across models. Therefore, a partial equilibrium model and a single...
Tipo: Report Palavras-chave: Trade; Policy model; Doha; Meta-analysis; Agricultural and Food Policy; Demand and Price Analysis; International Development; International Relations/Trade.
Ano: 2008 URL: http://purl.umn.edu/43466
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Meta–regression in Stata AgEcon
Harbord, Roger M.; Higgins, Julian P.T..
We present a revised version of the metareg command, which performs meta-analysis regression (meta-regression) on study-level summary data. The major revisions involve improvements to the estimation methods and the addition of an option to use a permutation test to estimate p-values, including an adjustment for multiple testing. We have also made additions to the output, added an option to produce a graph, and included support for the predict command. Stata 8.0 or above is required.
Tipo: Article Palavras-chave: Metareg; Meta-regression; Meta-analysis; Permutation test; Multiple testing; Research Methods/ Statistical Methods.
Ano: 2008 URL: http://purl.umn.edu/122617
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Meta-Functional Transfer of Hedonic Property Values: Application to Great Lakes Areas of Concern AgEcon
Braden, John B.; Feng, Xia; Freitas, Luiz; Won, DooHwan.
This paper explores the use of functional benefits transfer to forecast the effects of waste sites on property values. The results of a meta-analysis of hedonic studies of waste sites are coupled with spatial analysis techniques to produce estimates of the effects of toxic contamination in Areas of Concern (AOCs) in the U.S. Great Lakes. Based on U.S. Census data for median home values, the methods used here suggest that approximately $5.2 billion (2005 dollars) have been lost in residential property values surrounding twenty-three of the AOCs. This compares to estimates that place the cost of remediation of all U.S. AOCs at up to $4.5 billion (2005 dollars). The case study also identifies issues surrounding the use of a meta-analysis with hedonic property...
Tipo: Journal Article Palavras-chave: Benefits transfer; Meta-analysis; Hedonic method; Property values; Great Lakes; Areas of Concern; Environmental Economics and Policy.
Ano: 2010 URL: http://purl.umn.edu/59339
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PANEL STRATIFICATION IN META-ANALYSIS OF ECONOMIC STUDIES: AN INVESTIGATION OF ITS EFFECTS IN THE RECREATION VALUATION LITERATURE AgEcon
Rosenberger, Randall S.; Loomis, John B..
Statistical summarizations of literature review databases using meta-regression analysis provide insight into the differences in past estimates of economic variables such as benefits and price elasticities. The panel nature of the data is an issue that has not received adequate attention in past meta-analyses. This paper conceptually and empirically explores the complexity of stratifying data into panels that model the potential correlation and heterogeneity of past outdoor recreation benefit research. Although our tests of three stratifications of the data did not discern panel effects, the inherent complexity of the data maintains a strong presumption of heterogeneous strata.
Tipo: Journal Article Palavras-chave: Meta-analysis; Outdoor recreation economic benefits; Panel data; Stratification; Resource /Energy Economics and Policy.
Ano: 2000 URL: http://purl.umn.edu/15310
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Meta-Analysis of General and Partial Equilibrium Simulations of Doha Round Outcomes AgEcon
Hess, Sebastian; von Cramon-Taubadel, Stephan.
Quantification of welfare changes due to trade liberalisation play a crucial role for political decision making. However, meaningful comparisons of simulation results from different sources are difficult. Often significant differences in simulated gains from liberalisation do not serve to increase confidence in quantitative assessments based on trade models. We employ a metaanalysis of applied trade simulations under the WTO Doha Round to identify model characteristics that influence the magnitude of simulation results, and to estimate the magnitude of this influence. Findings from our simple econometric model are plausible and show that each simulation experiment represents a complex interaction of experimental settings that may not easily be understood...
Tipo: Conference Paper or Presentation Palavras-chave: Meta-analysis; CGE; Partial Equilibrium; Trade Liberalization; C00; C23; C68; F10; International Relations/Trade.
Ano: 2006 URL: http://purl.umn.edu/25512
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Contour–enhanced funnel plots for meta–analysis AgEcon
Palmer, Tom M.; Peters, Jaime L.; Sutton, Alex J.; Moreno, Santiago G..
Funnel plots are commonly used to investigate publication and related biases in meta-analysis. Although asymmetry in the appearance of a funnel plot is often interpreted as being caused by publication bias, in reality the asymmetry could be due to other factors that cause systematic differences in the results of large and small studies, for example, confounding factors such as differential study quality. Funnel plots can be enhanced by adding contours of statistical significance to aid in interpreting the funnel plot. If studies appear to be missing in areas of low statistical significance, then it is possible that the asymmetry is due to publication bias. If studies appear to be missing in areas of high statistical significance, then publication bias is a...
Tipo: Article Palavras-chave: Confunnel; Funnel plots; Meta-analysis; Publication bias; Small-study effects; Research Methods/ Statistical Methods.
Ano: 2008 URL: http://purl.umn.edu/122589
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Evaluating the Impact of Biofortification: A Meta-analysis of Community-level Studies on Quality Protein Maize (QPM) AgEcon
Gunaratna, Nilupa S.; De Groote, Hugo; McCabe, G.P..
Biofortification, or the genetic improvement of the nutritional quality of food crops, is a promising strategy to combat undernutrition, particularly among the rural poor in developing countries. However, traditional methods of impact assessment do not apply to biofortified crops as little or no yield increases are expected. Significant progress has been made to develop maize varieties with improved protein quality, collectively known as quality protein maize (QPM). Evidence for the impact of QPM at the community level, as demonstrated by randomized, controlled studies, was evaluated using meta-analysis. A new and generalizable effect size was proposed to quantify the impact of QPM on a key outcome, child growth. The results indicated that consumption of...
Tipo: Conference Paper or Presentation Palavras-chave: Impact assessment; Biofortification; Meta-analysis; Crop Production/Industries; Food Security and Poverty.
Ano: 2008 URL: http://purl.umn.edu/44166
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Demand for gasoline is more price-inelastic than commonly thought AgEcon
Havranek, Tomas; Irsova, Zuzana; Janda, Karel.
Demand for gasoline is more price-inelastic than commonly thought Abstract: One of the most frequently examined statistical relationships in energy economics has been the price elasticity of gasoline demand. We conduct a quantitative survey of the estimates of elasticity reported for various countries around the world. Our meta- analysis indicates that the literature suffers from publication selection bias: insignificant or positive estimates of the price elasticity are rarely reported, although implausibly large negative estimates are reported regularly. In consequence, the aver- age published estimates of both short- and long-run elasticities are exaggerated twofold. Using mixed effects multilevel meta-regression, we show that after correction for...
Tipo: Working Paper Palavras-chave: Gasoline demand; Price elasticity; Meta-analysis; Publication selection bias; Political Economy; Resource /Energy Economics and Policy.
Ano: 2011 URL: http://purl.umn.edu/120416
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metan: fixed- and random-effects meta-analysis AgEcon
Harris, Ross J.; Bradburn, Michael J.; Deeks, Jonathan J.; Harbord, Roger M.; Altman, Douglas G.; Sterne, Jonathan A.C..
This article describes updates of the meta-analysis command metan and options that have been added since the command’s original publication (Bradburn, Deeks, and Altman, metan — an alternative meta-analysis command, Stata Technical Bulletin Reprints, vol. 8, pp. 86–100). These include version 9 graphics with flexible display options, the ability to meta-analyze precalculated effect estimates, and the ability to analyze subgroups by using the by() option. Changes to the output, saved variables, and saved results are also described.
Tipo: Article Palavras-chave: Metan; Meta-analysis; Forest plot; Research Methods/ Statistical Methods.
Ano: 2008 URL: http://purl.umn.edu/120926
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Generalized least squares for trend estimation of summarized dose–response data AgEcon
Orsini, Nicola; Bellocco, Rino; Greenland, Sander.
This paper presents a command, glst, for trend estimation across different exposure levels for either single or multiple summarized case–control, incidence-rate, and cumulative incidence data. This approach is based on constructing an approximate covariance estimate for the log relative risks and estimating a corrected linear trend using generalized least squares. For trend analysis of multiple studies, glst can estimate fixed- and random-effects metaregression models.
Tipo: Journal Article Palavras-chave: Glst; Dose–response data; Generalized least squares; Trend; Meta-analysis; Metaregression; Research Methods/ Statistical Methods.
Ano: 2006 URL: http://purl.umn.edu/117556
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Meta-analysis with missing data AgEcon
White, Ian R.; Higgins, Julian P.T..
A new command, metamiss, performs meta-analysis with binary outcomes when some or all studies have missing data. Missing values can be imputed as successes, as failures, according to observed event rates, or by a combination of these according to reported reasons for the data being missing. Alternatively, the user can specify the value of, or a prior distribution for, the informative missingness odds ratio.
Tipo: Article Palavras-chave: Metamiss; Meta-analysis; Missing data; Informative missingness odds ratio; Research Methods/ Statistical Methods.
Ano: 2009 URL: http://purl.umn.edu/122700
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Substitutability of Fishmeal in Diets for Salmon and Trout: A Meta-Analysis AgEcon
Drakeford, Ben; Pascoe, Sean.
Intensive aquaculture, especially the production of carnivorous species, requires artificial feeding. Fishmeal and oil are preferred to vegetable proteins, since marine proteins provide the essential nutrients required by farmed fish. Therefore, given the stagnant production of reduction species and the rapid increase in aquaculture production, fishmeal availability would pose a biological constraint on aquaculture contribution to world fish supplies in the future, unless alternative feed sources can be incorporated in diets. In this paper, the technical substitutability between fish and vegetable based feeds are assessed through the estimation of Morishima elasticities of substitution. These are derived from a meta-analysis production function.
Tipo: Conference Paper or Presentation Palavras-chave: Fishmeal; Meta-analysis; Salmon; Trout; Elasticity; Livestock Production/Industries; Q2.
Ano: 2005 URL: http://purl.umn.edu/56074
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Turning on the Lights: A Meta-Analysis of Residential Electricity Demand Elasticities AgEcon
Espey, James A.; Espey, Molly.
Meta-analysis us used to quantitatively summarize previous studies of residential electricity demand to determine if there are factors that systematically affect estimated elasticities. In this study, price and income elasticities of residential demand for electricity from previous studies are used as the dependent variables, with data characteristics, model structure, and estimation technique as independent variables, using both least square estimation of a semilog and maximum likelihood estimation of a gamma model. The findings of this research can help better inform public policy makers, regulators, and utilities about the responsiveness of residential electricity consumers to price and income changes.
Tipo: Journal Article Palavras-chave: Electricity demand; Income elasticity; Meta-analysis; Price elasticity; Residential electricity demand; Q40; Q41; D12.
Ano: 2004 URL: http://purl.umn.edu/42897
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Funnel plots in meta-analysis AgEcon
Sterne, Jonathan A.C.; Harbord, Roger M..
Funnel plots are a visual tool for investigating publication and other bias in meta-analysis. They are simple scatterplots of the treatment effects estimated from individual studies (horizontal axis) against a measure of study size (vertical axis). The name “funnel plot” is based on the precision in the estimation of the underlying treatment effect increasing as the sample size of component studies increases. Therefore, in the absence of bias, results from small studies will scatter widely at the bottom of the graph, with the spread narrowing among larger studies. Publication bias (the association of publication probability with the statistical significance of study results) may lead to asymmetrical funnel plots. It is, however, important to realize that...
Tipo: Journal Article Palavras-chave: Metafunnel; Funnel plots; Meta-analysis; Publication bias; Small-study effects; Research Methods/ Statistical Methods.
Ano: 2004 URL: http://purl.umn.edu/116233
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Submenu and dialogs for meta-analysis commands AgEcon
Steichen, Thomas J..
The metadialog package provides Stata dialog boxes for the publicly available meta-analysis commands. It includes the commands needed to create a Meta-Analysis submenu on the StataCorp-defined User menu.
Tipo: Journal Article Palavras-chave: Dialog; Menu; Meta-analysis; Research Methods/ Statistical Methods.
Ano: 2004 URL: http://purl.umn.edu/116232
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Performance and Egg Quality of Commercial Laying Hens Fed Diets Formulated Using Non-Linear Programming Rev. Bras. Ciênc. Avic.
Almeida,TW; Silva,AL; Saccomani,AP; Muñoz,JA; Silva,RT; Franca,NV; Faria,DE; Faria Filho,DE.
ABSTRACT Feed formulation using linear programming consists of determining the mixture of feedstuffs required to meet pre-established animal nutritional requirements at the lowest cost. On the other hand, with the use of non-linear programming, it is possible to define nutritional requirements at the time of formulation, aiming at maximum profit. The objective of the present study was to compare feeds formulated using linear and non-linear programming in terms of live performance and internal and external egg quality of commercial laying hens. A total of 288 Hisex® White laying hens, 1.540 ± 0.128 g body weight, were evaluated from 33 to 45 weeks of age. Hens were distributed in a completely randomized block design, including six treatments with six...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Diminishing returns; Linear programming; Mathematical modeling; Meta-analysis; Profit..
Ano: 2019 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-635X2019000300313
Registros recuperados: 81
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