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Income --- United States --- Income distribution --- Poverty --- Social policy --- Economic policy --- Economic policy. --- Income distribution. --- Labor market. --- United States of America
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330.564 <73> --- Verdeling van nationaal inkomen. Inkomensverdeling--Verenigde Staten van Amerika. VSA. USA --- 330.564 <73> Verdeling van nationaal inkomen. Inkomensverdeling--Verenigde Staten van Amerika. VSA. USA --- Income --- Income distribution --- Wages --- Labor market --- Tax incidence --- United States --- Economic conditions --- Income - United States --- Income distribution - United States --- Wages - United States --- Labor market - United States --- Tax incidence - United States --- United States - Economic conditions - 1981-2001
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Job creation --- Labor demand --- Manpower policy --- Unskilled labor --- #SBIB:316.334.2A344 --- #SBIB:316.334.2A471 --- #SBIB:HIVA --- 332.224 --- 332.25 --- 332.630 --- 332.632.0 --- 332.70 --- US / United States of America - USA - Verenigde Staten - Etats Unis --- 331.5 --- 331.5 Arbeidsmarkt. Werkgelegenheid --(algemeen) --- Arbeidsmarkt. Werkgelegenheid --(algemeen) --- Laborers --- Low-skilled labor --- Low-skilled workers --- Labor --- Demand, Labor --- Demand for labor --- Labor market --- Supply and demand --- Arbeidssociologie: ongelijkheden op de arbeidsmarkt: positie van ongeschoolden op de arbeidsmarkt --- Arbeidssociologie: de overheid en het tewerkstellingsbeleid --- Minimumlonen --- Verminderd loon --- Strijd tegen de werkloosheid: algemeen. Theorie en beleid van de werkgelegenheid. Volledige werkgelegenheid --- Ondersteuning door het werk (algemeenheden) --- Geschoolde en ongeschoolde arbeid: algemeen --- Labour market --- United States --- United States of America
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Looks at Western understandings of South Asian religions and indigenous responses from pre-colonial to contemporary times.
Hinduism. --- Religions --- Brahmanism --- South Asia --- Religion.
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We estimate the trend in the transitory variance of male earnings in the U.S. using the Michigan Panel Study of Income Dynamics from 1970 to 2004. Using both an error components model as well as simpler but only approximate methods, we find that the transitory variance started to increase in the early 1970s, continued to increase through the mid-1980s, and then remained at this new higher level through the 1990s and beyond. Thus the increase mostly occurred about thirty years ago. Its increase accounts for between 31 and 49 percent of the total rise in cross-sectional variance, depending on the time period.
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Income distribution --- Transfer payments --- Business & Economics --- Economic History --- Government transfer payments --- Payments, Transfer --- Expenditures, Public --- National income --- Distribution of income --- Income inequality --- Inequality of income --- Distribution (Economic theory) --- Disposable income --- Case studies. --- Case sudies --- Case studies --- Accounting --- 313 --- 330.580 --- 339.21 --- AA / International- internationaal --- CZ / Czech Republic - Tsjechië - Tchéquie --- DE / Germany - Duitsland - Allemagne --- FI / Finland - Finlande --- FR / France - Frankrijk --- GB / United Kingdom - Verenigd Koninkrijk - Royaume Uni --- HU / Hungary - Hongarije - Hongrie --- IE / Ireland - Ierland - Irlande --- NL / Netherlands - Nederland - Pays Bas --- US / United States of America - USA - Verenigde Staten - Etats Unis --- 330.1 --- 330.564 --- Levenswijze en levensstandaard. Levensminimum. sociale indicatoren (Studiën) --- Gecontroleerde economie. Geleide economie. Welvaarststaat. Algemeenheden --- Ongelijkheid en herverdeling van vermogens en inkomens. Inkomensbeleid --- Economische grondbegrippen. Algemene begrippen in de economie --- Verdeling van nationaal inkomen. Inkomensverdeling --- 330.564 Verdeling van nationaal inkomen. Inkomensverdeling --- 330.1 Economische grondbegrippen. Algemene begrippen in de economie --- Case sudies. --- Revenu --- Paiement de transfert --- Répartition --- Cas, Etudes de --- Income --- Income distribution - Case studies --- Transfer payments - Case sudies --- INCOME DISTRIBUTION --- ECONOMICS --- WELFARE
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Nominal wage stickiness is an important component of recent medium-scale structural macroeconomic models, but to date there has been little microeconomic evidence supporting the assumption of sluggish nominal wage adjustment. We present evidence on the frequency of nominal wage adjustment using data from the Survey of Income and Program Participation (SIPP) for the period 1996-1999. The SIPP provides high-frequency information on wages, employment and demographic characteristics for a large and representative sample of the US population. The main results of the analysis are as follows. 1) After correcting for measurement error, wages appear to be very sticky. In the average quarter, the probability that an individual will experience a nominal wage change is between 5 and 18 percent, depending on the samples and assumptions used. 2) The frequency of wage adjustment does not display significant seasonal patterns. 3) There is little heterogeneity in the frequency of wage adjustment across industries and occupations. 4) The hazard of a nominal wage change first increases and then decreases, with a peak at 12 months. 5) The probability of a wage change is positively correlated with the unemployment rate and with the consumer price inflation rate.
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We estimate the trend in the transitory variance of male earnings in the U.S. using the Michigan Panel Study of Income Dynamics from 1970 to 2004. Using both an error components model as well as simpler but only approximate methods, we find that the transitory variance started to increase in the early 1970s, continued to increase through the mid-1980s, and then remained at this new higher level through the 1990s and beyond. Thus the increase mostly occurred about thirty years ago. Its increase accounts for between 31 and 49 percent of the total rise in cross-sectional variance, depending on the time period.
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Nominal wage stickiness is an important component of recent medium-scale structural macroeconomic models, but to date there has been little microeconomic evidence supporting the assumption of sluggish nominal wage adjustment. We present evidence on the frequency of nominal wage adjustment using data from the Survey of Income and Program Participation (SIPP) for the period 1996-1999. The SIPP provides high-frequency information on wages, employment and demographic characteristics for a large and representative sample of the US population. The main results of the analysis are as follows. 1) After correcting for measurement error, wages appear to be very sticky. In the average quarter, the probability that an individual will experience a nominal wage change is between 5 and 18 percent, depending on the samples and assumptions used. 2) The frequency of wage adjustment does not display significant seasonal patterns. 3) There is little heterogeneity in the frequency of wage adjustment across industries and occupations. 4) The hazard of a nominal wage change first increases and then decreases, with a peak at 12 months. 5) The probability of a wage change is positively correlated with the unemployment rate and with the consumer price inflation rate.
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