Households Sample Clauses

Households. To evaluate the impact of commercial/industrial development on School District facilities, the employee generation estimates listed in Table 8 were first used to determine the impact of commercial/industrial development on a per household basis. Based on information obtained from the 2018 American Community Survey4, there are approximately 1.82 employed persons per household on average for households located within the School District. Dividing the employee generation estimates listed in Table 8 by 1.82 results in the estimated number of households per 1,000 square feet of commercial/industrial development (“Total Household Impact”). The Total Household Impact determined in the preceding paragraph takes into consideration all employees generated from commercial/industrial development. Since some of those employees will live outside the School District and therefore will have no impact on the School District, the figures are adjusted to reflect only those households within the School District occupied by employees generated from commercial/industrial development built within the School District. Based on information derived from U.S. Census Bureau data5, it is estimated that approximately 48.70% of employees both live and work within the School District. Multiplying the Total Household Impact by 48.70% results in the households within the School District impacted per 1,000 square feet commercial/industrial development. The results of these computations are shown in Table 9.
Households. The problem of risk-averse households is quite conventional10. Each period, a household is endowed with a unit of labor. The household sells her output of intermediate goodsG(kht−1) from the safe home project with capital kht−1invested at the end of last period,tsupplies labor lh to the production of consumption goods, receives lump-sum profits fromtcapital production sector Πt, invests capital khin the home project, deposits dt at thetbank for a secured rate of return rt, and consumes ch. The household maximizes the expected utility with respect to consumption and leisure, maxEt Σ βs (ch t+s)1−σχ(1 lh−+)1+ψ t{ch,lt}s=0
Households. Principle I: Harvesting of domestic timber complies with regulations on land use rights, forest use rights, management, environment and society. - Principle II: Compliance with regulations on handling confiscated timber. - Principle III: Compliance with regulations on importing timber. - Principle IV: Compliance with regulations on timber transportation and trade. - Principle V: Compliance with regulations on timber processing. - Principle VI: Compliance with regulations on export. - Principle VII: Compliance with taxation regulations. The LD for Organisations and Households consist of seven principles; however, under some principles the number of criteria, indicators and verifiers varies. In general, some of the regulations that apply to Households are simpler than those for Organisations. The most significant differences are reflected in Principle I, IV and VII, as follows: - Under Principle I: Harvesting of domestic timber complies with regulations on land use rights, forest use rights, management, environment and society, both the LD for Organisations and the LD for Households include 8 criteria; however, some of the criteria vary between the two categories. The LD for Organisations includes Criterion 1: Compliance with regulations on main harvesting of natural forest timber, but this Criterion is not applicable to Households. The LD for Households includes Criterion 7: Compliance with regulations on harvesting timber from plantations in home gardens, farms and dispersed trees, but this Criterion is not applicable for Organisations (described further below). - Under Principle IV: Compliance with regulations on timber transportation and trade, the LD for Organisations includes 10 criteria and the LD for Households includes 7 criteria. The additional criteria under the LD for Organisations relate to compliance with regulations on business registration, and internal transportation of timber and timber products within a province and between provinces which is not applicable to Households. - Under Principle VII, the LD for Organisations covers Compliance with regulations on tax and labour (3 criteria), while the LD for Households covers Compliance with regulations on tax (1 criterion). This reflects difference in the regulations on labour applied to Households as compared to Organisations. In the LD and under VNTLAS, there is a distinction between static and dynamic verifiers as defined in Section 4.1 of Annex V. Static verifiers (denoted ‘S’ in the LD matr...
Households. There exists a continuum of identical households with recursive utility preferences. House- holds maximize a utility index J, that is defined recursively by; 0J = E∫ ∞ h(C , N , J )dt. (9)0 0tttwhere Ct is consumption and Nt is leisure that the household enjoys in period t. Following Duffie and Epstein (1992), the aggregator is defined as:ρ (CNψ)1−θ−1 !h(C, N, J) =
Households t The economy is populated by a unit mass of ex-ante identical households who maximize their expected discounted lifetime utility. Every household’s period utility over consumption is given by a CRRA period utility, u(c ) = c 1−σ , where σ determines intertemporal elasticityt 1—σof substitution. Households discount utility at a constant rate, β. They own both factors of production, labour and capital, which they supply in competitive markets.Households face an uninsurable income risk. At the beginning of each period, they draw an idiosyncratic shock, et, which determines their period labour earnings. Given that it follows a Markov process, this income shock drives precautionary savings in our model. As will be discussed later, this is not an idiosyncratic labour productivity shock, rather et determines the entire earnings of each household. Households may transfer consumption across time and state by investing in a risk-free asset which is available to everyone in the economy. Household savings are productive, and there is no aggregate risk in the economy. Therefore, the rate of return on savings, r, is constant. V (e, a) = max u(c) + βEV (er, ar){c, a′}subject to (1)c + ar ≤ y − τ (y) + a y = e + ra + bpa ≥ a Therefore, each household’s state is given by its current labour income, e, and its asset holdings a. All households face a common natural borrowing limit a. A household’s income, y, consists of three sources: labour income, capital income, and public transfers, bp. All three sources are taxable according to an economy-wide tax schedule τ (y). Therefore, households’ programming problem is given by equation 1.
Households. A household is a group of people whether related and or un-related, who are usually living in the same house and they share meals and living accommodation. A household is an important aspect of life in determining the level of poverty at theindividual, family and national level. Again households are headed by either male or female; although in African countries the majority of households are headed by male (Akanbi, 2017). In this study, households are those families that cannot afford accessing basic needs like nutrition and other social services such as education and health but also with income uncertainty and they are identified by the Community Management Committee (CMC).
Households. Goods & Services
Households. According to the operations in the labor, goods, and deposit markets, the household h’s wealth evolves as follows: htAht = (1 − τ r) · [Aht—1 + (1 − τ ) · wht + divht + intD − cht] (9)where τ r is the tax rate on wealth (applied only on wealth exceeding a threshold τ¯r · p¯, which is a multiple of the average goods price), τ is the tax rate on income, wht is the wage gained by employed workers, divht is the fraction (proportional to the household h’s wealth compared to overall households’ wealth) of dividends distributed by firms and banks net of the amount of resources needed to finance new entrants (hence, this value may be negative),htintD represents interests on deposits, and cht is the effective consumption. Households linkedto defaulted banks lose a fraction of their deposits as already explained.
Households. SynthPops uses data on the distribution of ages, household sizes, and the age of reference individuals conditional on household size for a given population, to generate individuals within households. The algorithm first generates household sizes from the household size distribution, and then assigns a reference individual (for example, the head of the household) with their sampled age conditional on the household size. To construct the other household members, age mixing contact matrices are used to infer the likely ages according to the age of the reference person and the population age distribution adjusted for non-reference ages.
Households. It is often assumed (especially in studies of the rural developing world) that households operate as a unit. This may be a reasonable assumption for analytical purposes (for example in distinguishing between the livelihood options and strategies of richer and poorer households, or those with access to livestock or without, or with HIV-positive adults or without), although the technical difficulties of defining ‘who eats out of one pot’ can be considerable). There can also be strong divergences in attitudes, material interests and actions within households (e.g., between young and old, men and women, blood kin and in-laws).