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Registros recuperados: 6
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How to do xtabond2: An introduction to difference and system GMM in Stata AgEcon
Roodman, David.
The difference and system generalized method-of-moments estimators, developed by Holtz-Eakin, Newey, and Rosen (1988, Econometrica 56: 1371–1395); Arellano and Bond (1991, Review of Economic Studies 58: 277–297); Arellano and Bover (1995, Journal of Econometrics 68: 29–51); and Blundell and Bond (1998, Journal of Econometrics 87: 115–143), are increasingly popular. Both are general estimators designed for situations with “small T, large N” panels, meaning few time periods and many individuals; independent variables that are not strictly exogenous, meaning they are correlated with past and possibly current realizations of the error; fixed effects; and heteroskedasticity and autocorrelation within individuals. This pedagogic article first introduces linear...
Tipo: Article Palavras-chave: Xtabond2; Generalized method of moments; GMM; Arellano–Bond test; Abar; Research Methods/ Statistical Methods.
Ano: 2009 URL: http://purl.umn.edu/122704
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Input Substitution in the Spanish Food Industry AgEcon
Alarcón, Silverio.
Firm panel data sets over the period 1993 to 2002 are used to estimate translog production functions with labour, capital and material inputs for 9 Spanish food industries. To tackle the endogeneity of the regressors, the generalized method of moments estimations is employed. The specification tests reject the instrument variables only for 1 out of 9 estimates. The remaining 8 industries show evidence of homogeneity and constant returns to scale. Only one industry exhibits complete separability of all pairs of factors and thus translog is preferred to Cobb-Douglas specification for 7 industries. Substitutability and complementarity between production factors in response to price changes are studied through Morishima and Shadow elasticities....
Tipo: Conference Paper or Presentation Palavras-chave: Translog; Elasticity of substitution; Generalized method of moments; Returns to scale; Agribusiness; C23; D24; L66.
Ano: 2005 URL: http://purl.umn.edu/24487
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Fast Food, Addiction, and Market Power AgEcon
Richards, Timothy J.; Patterson, Paul M.; Hamilton, Stephen F..
Many attribute the rise in obesity since the early 1980's to the overconsumption of fast food. A dynamic model of a different-product industry equilibrium shows that a firm with market power will price below marginal cost in a steady-state equilibrium. A spatial hedonic pricing model is used to test whether fast food firms set prices in order to exploit their inherent addictiveness. The results show that firms price products dense in addictive nutrients below marginal cost, but price products high in nonaddictive nutrients higher than would be the case in perfect competition.
Tipo: Journal Article Palavras-chave: Addiction; Brand loyalty; Fast food; Generalized method of moments; Hedonic pricing; Nutrients; Shadow values; Demand and Price Analysis; Food Consumption/Nutrition/Food Safety.
Ano: 2007 URL: http://purl.umn.edu/7077
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Instrumental variables and GMM: Estimation and testing AgEcon
Baum, Christopher F.; Schaffer, Mark E.; Stillman, Steven.
We discuss instrumental variables (IV) estimation in the broader context of the generalized method of moments (GMM), and describe an extended IV estimation routine that provides GMM estimates as well as additional diagnostic tests. Stand-alone test procedures for heteroskedasticity, overidentification, and endogeneity in the IV context are also described.
Tipo: Journal Article Palavras-chave: Instrumental variables; Generalized method of moments; Endogeneity; Heteroskedasticity; Overidentifying restrictions; Clustering; Intra-group correlation; Research Methods/ Statistical Methods.
Ano: 2002 URL: http://purl.umn.edu/116029
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CLIMATE CHANGE AND AGRICULTURAL PRODUCTIVITY IN SUB-SAHARAN AFRICA: A SPATIAL SAMPLE SELECTION MODEL AgEcon
Ward, Patrick S.; Florax, Raymond J.G.M.; Flores-Lagunes, Alfonso.
Using data at a high spatial resolution, we estimate a cereal yield response function conditional upon climatological and topographical features using a recently developed estimator for spatial process models when sample selection is of concern. We control for localized spatial correlation in unobserved disturbances affecting both the selection to plant cereals as well as in the resulting conditional yield response. We find that cereal yields across Sub-Saharan Africa will decline with increasing temperatures resulting from global climate change, and that failing to control for sample selection leads to underestimation of these adverse effects.
Tipo: Working or Discussion Paper Palavras-chave: Agricultural productivity; Climate change; Spatial econometrics; Sample selection; Generalized method of moments; Land Economics/Use; Productivity Analysis; Research Methods/ Statistical Methods; C31; Q18; C50.
Ano: 2011 URL: http://purl.umn.edu/116182
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Generalized Rational Random Errors AgEcon
LaFrance, Jeffrey T..
Theil's theory of rational random errors is sufficient for strict exogeneity of group expenditure in separable demand models. Generalized rational random errors is necessary and sufficient for strict exogeneity of group expenditure. A simple, robust, asymptotically normal t-test of this hypothesis is derived based on the generalized method of moments. An application to per capita annual U.S. food demand in the 20th century strongly rejects exogeneity of food expenditure in a model that in all other respects is highly compatible with the data set and with the implications of economic theory.
Tipo: Working or Discussion Paper Palavras-chave: Demand; Generalized method of moments; Rational random errors; Weak separability; Demand and Price Analysis.
Ano: 2002 URL: http://purl.umn.edu/25053
Registros recuperados: 6
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