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Wednesday, May 13, 2020 | History

2 edition of Spatial and temporal aggregation in the dynamics of labor demand found in the catalog.

Spatial and temporal aggregation in the dynamics of labor demand

Daniel S. Hamermesh

Spatial and temporal aggregation in the dynamics of labor demand

by Daniel S. Hamermesh

  • 110 Want to read
  • 17 Currently reading

Published by National Bureau of Economic Research in Cambridge, MA .
Written in English

    Subjects:
  • Labor demand -- Econometric models.

  • Edition Notes

    StatementDaniel S. Hamermesh.
    SeriesNBER working papers series -- working paper no. 4055, Working paper series (National Bureau of Economic Research) -- working paper no. 4055.
    ContributionsNational Bureau of Economic Research.
    The Physical Object
    Pagination19, [5] p. :
    Number of Pages19
    ID Numbers
    Open LibraryOL22439154M

    A Short Exercise to Assess the Consequences of Temporal and Spatial Aggregation on the Observed Spatial Interactions Sungyup Chung and Geoffrey J.D. Hewings Abstract: Since our observation of the regional economy depends on the scale of temporal/spatial units, even under the same underlying disaggregated level data generating process, we can. Program Summary Thursday, 01 March p Registration opens p Welcome reception p Opening remarks p Session 1: Opening session Invited speakers: Tiago Branco, Iain D. Couzin p Poster Session I Refreshments are sponsored by the Simons Foundation Friday, 02 March a Breakfast a Session 2: Listen and learn Invited speaker: Claudia Clopath; 3 accepted talksFile Size: 4MB.

    "Statistical Methods for Spatial Data Analysis" answers the demand for a text that incorporates all of these factors by presenting a balanced exposition that explores both the theoretical foundations of the field of spatial statistics as well as practical methods for the analysis of spatial book is a comprehensive and illustrative. A method, apparatus, and system of demand aggregation in a geo-spatial network are disclosed. In one embodiment, a method includes creating an item group associated with a registe.

    Dynamics of labor absorption in post-colonial peninsular Malaysia. Karen R. Polenske. Rafael Corrada-Guerrero. Economic dependency and income distribution in Puerto Rico Lloyd Rodwin. Steven Yaffee. Prohibitive policy and the implementation of the endangered species act. Lawrence E. Susskind. Sugijanto Soegijoko. Alain Pirotte and Jesús Mur, Neglected dynamics and spatial dependence on panel data: consequences for convergence of the usual static model estimators, Spatial Economic Analysis, /, 12, , (), ().Cited by:


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Spatial and temporal aggregation in the dynamics of labor demand by Daniel S. Hamermesh Download PDF EPUB FB2

Get this from a library. Spatial and temporal aggregation in the dynamics of labor demand. [Daniel S Hamermesh; National Bureau of Economic Research.]. "Employment Dynamics and the Structure of Labor Adjustment Costs," IZA Discussion PapersInstitute of Labor Economics (IZA).

Pedro Portugal & José Varejão, " Spatial and Temporal Aggregation in the Estimation of Labor Demand Functions," Working Papers w, Banco de Portugal, Economics and Research Department. "Spatial and Temporal Aggregation in the Dynamics of Labor Demand," NBER Working PapersNational Bureau of Economic Research, Inc.

Patricia M. Anderson, "Linear Adjustment Costs and Seasonal Labor Demand: Evidence from Retail Trade Firms," The Quarterly Journal of Economics, Oxford University Press, vol. (4), pages Varejão and Portugal () used historical labor data to estimate labor demand functions across varying levels of spatial and temporal aggregations.

Data aggregated from the quarterly level to. Labor demand and equilibrium wage formation. [J C van Ours; Gerard A Pfann; Geert Ridder;] Comments / Niels Westergard-Nielsen --Spatial and temporal aggregation in the dynamics of labor demand / Daniel S.

Hamermesh. Spatial and temporal aggregation in the dynamics of labor demand \/ Daniel S. Hamermesh. Comments \/ Arie Kapteyn -- A.

Hamermesh D. [a]: Spatial and temporal aggregation and the dynamics of labour demand, paper presented at the Symposium on Labour Demand and Equilibrium Wage Cited by: by Daniel S. Hamermesh; Spatial and Temporal Aggregation in the Dynamics of Labor Demand by Daniel S.

Hamermesh; Turnover and the Dynamics of Labor Demand by Daniel S. Hamermesh & Gerard Pfann; Beauty and the Labor Market by Daniel S.

Hamermesh & Jeff E. Biddle; New Facts About Factor-Demand Dynamics: Employment, Jobs, and Workers. Turnover and the Dynamics of Labor Demand with Gerard Pfann: w Published: Economica, Vol, No.3, pp, August citation courtesy of.

April Spatial and Temporal Aggregation in the Dynamics of Labor Demand w Published: Labor Demand and Equilibrium Wage Formation North-Holland Press, December New forms of data available at high temporal frequencies and low levels of spatial aggregation, together with large commercial data and expanding computational ability allow a variety of theories Author: Michael Storper.

The spatial and temporal patterns of winter rape were investigated in terms of changes in planting area and spatial aggregation. To map the changes in winter rape planting area on the MYR, firstly, a change detection was used to map the hotspots of the changes at pixel level between and Author: Jianbin Tao, Wenbin Wu, Wenbin Liu, Meng Xu.

A spatial labor market is defined as an imaginary and sometimes also actual meeting place for the supply of and demand for labor. Thus, a spatial labor market is both a spatial entity and a mediation agency for paid work.

Or, put another way: a spatial labor market is always both a territorial entity and a social institution that serves to. Based on the land-use data of, andthe spatial-temporal dynamics of land-use and landscape pattern in Guangzhou were analyzed through RS and GIS technologies. In the context of rapid urbanization, the driving force, which led to the change, was : Siqi Liu, Qing Yu, Chen Wei.

Local organizations can become powerful players using GIS. Although local people may not think about their neighborhood in terms of GIS data layers, they may consider community issues comprehensively, in an integrated way in which “the quality of life in [the] family and [the] neighborhood revolves around housing, and work, and safety, and education, and goods and services, and neighbors and.

MAS models applied to LUCC (MAS-LUCC models) therefore allow to capture the complex nature of both spatial interactions and explicit human decision-making on land use, presenting LUCC patterns and associated population dynamics as self-organising processes emerging from local interactions (Verburg et al.,Parker et al.,Berger, Cited by: Regional Public Stock Reductions in Spain: Estimations from a Multiregional Spatial Vector Autorregressive Model.

REGION, 4(1), Abstract: The estimation of the impact of public investment on regional economic growth requires consideration of the spatio-temporal dynamics among the state variables of each region. Recent austerity. PD&R is directly involved in formulating potential urban policy solutions and monitoring and evaluating policy once it is in place.

These policy issues include homelessness, fair housing, housing assistance programs, mortgages and lending, and assisting in community and economic development.

PD&R is. Spatial-Temporal Data Mining Spatial-temporal data mining is an emerging field. Traditional data mining works on Association Rules1, looking for patterns of the form: “Customers who buy bread, also buy milk, with probability x%.” There is significant literature in this arena (see for example, the recent book by Han and Kamber2.

Demand and supply are brought closer together by spatial mobility of workers. It can be argued that the evolution of industrialized societies into societies of specialized education and labour demand, requires a mobility policy designed to avoid a growth in discrepancies in spatial labour by: These three conditions provide the labor supply curve, housing supply curve and labor demand curve that collectively determine area population, wages and prices.

Exogenous differences across space in productivity, amenities and the construction sector drive differences in density, incomes and home prices.

spatial-temporal data focus on point-wise data, such as tweets, or trajectories of humans where the spatial objects are constantly mov-ing over time. As Andrienko et al. described in their work [6], spatial-temporal data can change over time in different ways according to the occurring changes.

In our paper, we focused on ”changes of thematic. Finally, mobile phones are correlated with a farmer's capacity to exploit both inter-temporal and spatial price dispersion to their advantage. The remainder of the article is organised as follows. The next section serves up a motivating example by describing key characteristics of the data that will be used later in the by: 8.Time.

Similar to the spatial scale of analysis, temporal lags are also inherent in population–deforestation linkages. Attempts to determine the effects of policies on deforestation, for example, must consider the fact that policies require a gestation period, and their effects may not be easily captured in cross-sectional studies (Alisson Barbieri, PERN,4/16).Cited by: This book identifies the underlying principles that govern siting, community dvelopment, and product/service delivery.

Included are step-by-step procedures to perform: site location, land-use planning, location-routing, competitive allocation of products/services & spatial forecasting.