The use of seemingly unrelated regression to predict the carcass composition of lambs

Cadavez, Vasco; Henningsen, Arne

doi:10.1016/j.meatsci.2012.05.025

Cited by 37 publications

(21 citation statements)

References 13 publications

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“…The use of single-equation OLS models was motivated by the fact that all eight equations have the same regressors. When all equations have the same set of explanatory variables, the efficient estimator is single-equation OLS (Cadavez and Henningsen, 2012;Greene, 2000). (This also holds true for ordered probit equations.)…”

Section: Maximize Profit ----------I----------produce Healthy Beefmentioning

confidence: 99%

U.S. Grass-Fed Beef Producers: Goal Structure and Reasons for Enterprise Selection

Sitienei

Gillespie

Scaglia

2019

J. Agric. Appl. Econ.

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We examine the relative importance of eight goals U.S. grass-fed beef (GFB) producers have for their farms and the relative importance of nine reasons for selecting the GFB enterprise. We further analyze factors affecting goal structure and reasons for selecting the enterprise. The data used for this study are from a 2013 mail survey of U.S. GFB producers. The most important reasons for selecting the GFB enterprise included “producing healthy beef” and “GFB is good for the environment,” classified in the study as social and environmental sustainability reasons, respectively. Reasons such as “profitability” and “strong demand for GFB” were generally of lower importance.

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Section: Maximize Profit ----------I----------produce Healthy Beefmentioning

confidence: 99%

U.S. Grass-Fed Beef Producers: Goal Structure and Reasons for Enterprise Selection

Sitienei

Gillespie

Scaglia

2019

J. Agric. Appl. Econ.

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“…It was designed as a way to simultaneously estimate a system of different linear regression equations by applying a two-step generalized least squares (GLS) estimator where each equation in the system has its own dependent variable while allowing for distinct regressor matrices in each of the system's equations (i.e., X i ≠ X j ). According to Zellner (1962), Felmlee and Hargens (1988), Yahya et al (2008), Cadavez and Henningsen (2012), Olamide and Adepoju (2013) together with Pastpipatkul et al (2016), the advantages of the SUR estimation procedure are threefold. First, it offers relatively greater efficiency gains over single-equation models in the estimation of regression coefficients.…”

Section: Unit Root Tests For Stationaritymentioning

confidence: 99%

Testing for a common Phillips curve in common monetary area of Southern Africa

Damane

Sifat

2020

JES

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PurposeThis paper sets out to investigate whether the four members of the common monetary area (CMA) regime experience similar inflation-unemployment dynamics as explained by the Phillips Curve phenomenon.Design/methodology/approachThis study uses a combination of seemingly unrelated regression (SUR) and Copula based marginal regression techniques to investigate existence of a common Phillips curve (PC) between members of the CMA. Model estimation was done using country specific annual time series data for inflation, unemployment and imports spanning from 1980 to 2014.FindingsWe find evidence of contemporaneous correlation between the residuals of individual CMA PC equations and a statistically significant trade-off between inflation and unemployment for all CMA countries. Wald test results of cross-equation restrictions reveal a 9.94% chance of a common unemployment coefficient for CMA countries.Originality/valueTogether, the results of the SUR and Gaussian Copula techniques provide mixed and inconclusive evidence to support the existence of a common PC among CMA member states. This study is the first of its kind in examining this phenomenon for currency board regimes like CMA, and one of the very few among emerging market economies.

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“…SUR model estimates more than two equations simultaneously. The parameters of each equation take information provided by the other equation into account (Cadavez and Henningsen, 2012).…”

Section: Model For Determinants Of Diversificationmentioning

confidence: 99%

Farm Diversification in the Central Highlands of Ethiopia. Patterns, Determinants and Its Effect on Household Income

Mekuria¹

2020

RAAE

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Crop-livestock production is the major farming system in the highlands of Ethiopia. This study aimed to describe croplivestock diversification pattern, examine determinants of diversification patterns, and evaluate effects of divers ification on household income. Principal component analysis (PCA), seemingly unrelated regression (SUR) and ordinary least square (OLS) regression models were employed. Five major crop-livestock diversification patterns: sheep and goat, staple crops, chicken, vegetables, and animal feed-based farming were identified. The SUR model revealed that sex, education, income, extension contact, land size, market and road distance, irrigated land, and household size were significant factors that influence crop-livestock diversification patterns. It is also found that sheep and goat, vegetable, and chicken-based farming were significant production patterns that had positive effects on household income. We suggest that adoptive and adaptive agricultural practices such as small-scale irrigation, chicken rearing and sheep-based production patterns are the most potential farming systems in the highlands of Ethiopia.

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The use of seemingly unrelated regression to predict the carcass composition of lambs

Cited by 37 publications

References 13 publications

U.S. Grass-Fed Beef Producers: Goal Structure and Reasons for Enterprise Selection

U.S. Grass-Fed Beef Producers: Goal Structure and Reasons for Enterprise Selection

Testing for a common Phillips curve in common monetary area of Southern Africa

Farm Diversification in the Central Highlands of Ethiopia. Patterns, Determinants and Its Effect on Household Income

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