Results 11 to 20 of about 4,187,953 (300)

ANIMAL FOOD DEMAND IN JAKARTA, INDONESIA: USING QUADRATIC ALMOST IDEAL DEMAND SYSTEM [PDF]

open access: yesRussian Journal of Agricultural and Socio-Economic Sciences, 2019
All of the households in Jakarta are urban households, but when viewed from the income elasticity of animal food, all animal food is still a luxury item except eggs.
Khoiriyah Nikmatul   +3 more
doaj   +1 more source

The analysis demand for animal source food in Indonesia: using Quadratic Almost Ideal Demand System

open access: yesBusiness: Theory and Practice, 2020
Indonesia has been experiencing rising animal source food prices during the last five years (decade). In this paper we explore how changes of animal source food prices impact on their demand Indonesia 2016 as expressed in income and price elasticities ...
Khoiriyah Nikmatul   +3 more
doaj   +1 more source

Self-regulating supply–demand systems [PDF]

open access: yesFuture Generation Computer Systems, 2017
Supply-demand systems in Smart City sectors such as energy, transportation, telecommunication, are subject of unprecedented technological transformations by the Internet of Things. Usually, supply-demand systems involve actors that produce and consume resources, e.g.
Pournaras, Evangelos   +2 more
openaire   +2 more sources

INCOMPLETE DEMAND SYSTEMS AND SEMILOGARITHMIC DEMAND MODELS [PDF]

open access: yesAustralian Journal of Agricultural Economics, 1990
The methodology of LaFrance and Hanemann for analysing the structure of incomplete demand systems is applied to models that are linear or logarithmic in quantities, prices and/or income. The structure of each model is presented when the implications of consumer choice theory are satisfied. The usefulness of the approach is illustrated. It is shown that
LaFrance, Jeffrey T.   +1 more
openaire   +3 more sources

Beyond the mean: Estimating consumer demand systems in the tails

open access: yesAgricultural Economics (AGRICECON), 2017
The study proposes a novel approach to estimate price demand elasticities at the various levels of expenditures. Through the expectile estimator, the demand system can be estimated not only at the mean, as is generally done when implementing the OLS, but
Marilena FURNO, Francesco CARACCIOLO
doaj   +1 more source

Factors Affecting U.S. Demand for Reduced-Fat Fluid Milk

open access: yesJournal of Agricultural and Resource Economics, 1996
U.S. fluid milk consumption has changed dramatically since the early 1970s. Whole milk accounted for over 81% of commercial fluid milk disappearance in 1970. By 1993, this percentage was less than 39%.
Brian W. Gould
doaj   +1 more source

Demand Systems with Nonstationary Prices [PDF]

open access: yesReview of Economics and Statistics, 2005
Relative prices are nonstationary and standard root-T inference is invalid for demand systems. But demand systems are nonlinear functions of relative prices, and standard methods for dealing with nonstationarity in linear models cannot be used. Demand system residuals are also frequently found to be highly persistent, further complicating estimation ...
Arthur Lewbel, Serena Ng
openaire   +2 more sources

Food demand in Slovenia

open access: yesActa Agriculturae Slovenica, 2007
The objective of this research is to analyse food consumption patterns in Slovenia. Cross-sectional household data from Household budget survey in year 2001 were used.
Darja REGORŠEK, Emil ERJAVEC
doaj   +1 more source

Addressing Pre-Commitment Bias with a Generalized EASI Model: An Application to Food Demand in Russia

open access: yesJournal of Agricultural and Resource Economics, 2019
The Exact Affine Stone Index (EASI) demand model offers distinct advantages over its predecessors. However, it does not account for pre-committed demand. This can bias elasticity estimates when such pre-commitments are present.
Vardges Hovhannisyan, Aleksan Shanoyan
doaj   +1 more source

STL-ATTLSTM: Vegetable Price Forecasting Using STL and Attention Mechanism-Based LSTM

open access: yesAgriculture, 2020
It is difficult to forecast vegetable prices because they are affected by numerous factors, such as weather and crop production, and the time-series data have strong non-linear and non-stationary characteristics.
Helin Yin   +5 more
doaj   +1 more source

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