Study of the income elasticity of demand in Canada for selected food products.
Notice bibliographique
Résumé
Analysis of income elasticity of demand was carried out for beef, pork, eggs, tea, and coffee. Prices for beef and pork were taken at the wholesale level, while those for eggs, tea and coffee were taken at the retail level. Prices and disposable income were obtained from the National Accounts and were deflated by the Implicit Price Deflator obtained from the same source. The effect of the time variable was eliminated, in the case of beef, pork, and eggs, by taking the first differences. Straight line regressions were fitted to the consumption data of all 5 commodities. From the multiple variable equation, estimated values of x₁ and the residuals for each year were computed. The residuals were plotted around the partial regression equation (obtained by substituting the arithmetic mean for the value of the ether variables) according to the sign of the residuals for the year. Free-hand lines were fitted to this scatter diagram and from these lines the degree of variation was calculated. The regression coefficients were used in calculating elasticities. The income elasticity of the demand for beef varied from +0.815 to +1.178 from 1929 till 1944. For the period 1945-52, the average increase in income was only 0.875 dollars. There was a decrease in the per capita consumption of beef as calculated from the partial regression equation (removing the effect of changes in price of beef and price of pork). Thus income elasticity was -0.199 ± 0.02 during 1945-52. When the years of extreme variation in beef consumption (1934,-35,-43.-44,-48) were omitted from the series, the income elasticity was + 0.349 for the period 1929-33 and 0.00, -0.0063 for the periods 1939-42 and 1946-52. Thus in recent years the income elasticity of demand for beef has been decreasing and has approached 0.00. However, in considering these results, one should remember that the multiple regression equation explained only 26 per cent of the total variation. The regression coefficient fitted to pork consumption explained only 19 per cent of the total variation. Even out of this total explained variation the price of pork explained 80 per cent. The income elasticity of demand for pork came out to be +0.053 to +0.090. In the analysis of the demand for eggs, the price coefficient was not statistically significant. The income elasticity of demand for eggs varied from +0.403 to +0.657. The consumption of tea has been decreasing and that of coffee Increasing since 1926. The results of the multiple regression analysis were influenced by this time trend. When income elasticity of demand for coffee was calculated over the whole period it decreased from +1.120 to +1.068. The income elasticity of demand for tea was found to vary from -0.530 ± 0.133 to -1.438 ± 0.362. When separate, regression lines were fitted for the periods 1926-41 and 1942-52, none of the regression coefficients was significant in the latter period and only the price of tea coefficient in the first period. As has already been pointed out, there has been a trend in the consumption of tea and coffee. It is possible that because of Increases in disposable Income and in coffee consumption the income elasticity of demand is positive for coffee and negative for tea. The income elasticity of demand has been decreasing in the case of both tea and coffee but the reason seems to be different in the two cases. The income elasticity of demand for tea declined at a faster rate than the Income elasticity of demand for coffee.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,002 | 0,004 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».