scholarly journals Empirical Matching Functions: Estimation and Interpretation Using Disaggregate Data

10.3386/w5001 ◽  
1995 ◽  
Author(s):  
Patricia Anderson ◽  
Simon Burgess
Keyword(s):  
Disaggregate Data

scholarly journals Gender Inequality in Safety and Security Perceptions in Railway Stations

2021 ◽  
Vol 13 (7) ◽  
pp. 4007
Author(s):  
Pierluigi Coppola ◽  
Fulvio Silvestri
Keyword(s):  
Gender Gap ◽  
Public Transport ◽  
Stated Preference ◽  
Revealed Preference ◽  
Behavioral Models ◽  
Mobility Patterns ◽  
Railway Stations ◽  
Commercial Activities ◽  
Transport Services ◽  
Disaggregate Data

Recent studies have shown that gender is the personal aspect that mostly affects mobility patterns and travel behaviors. It has been observed, for instance, that female perception of unsafety and insecurity when traveling using public transport forces them to make unwanted travel choices, such as avoiding traveling at certain times of day and to specific destinations. In order to improve the attractiveness of public transport services, this gender gap must not be overlooked. This paper aims at contributing to research in gendered mobility by investigating differences in safety and security perceptions in railway stations, and by identifying which policies could be effective in bridging any existing gap. The methodology includes the collection of disaggregate data through a mixed Revealed Preference/Stated Preference survey, and the estimation of fixed and random parameters behavioral models. Results from a medium-sized Italian railway station show that female travelers feel safer in the presence of other people; they prefer intermodal infrastructures close to the entrance of the station and commercial activities in the internal premises. Moreover, unlike male travelers, they do not appreciate the presence of hedges and greenery outside stations.

Color-Neutral Disaggregation? Principals’ Practices Around Disaggregating Data From Three School Districts

2018 ◽  
Vol 54 (4) ◽  
pp. 559-588
Author(s):  
Rachel Roegman ◽  
Ala Samarapungavan ◽  
Yukiko Maeda ◽  
Gary Johns
Keyword(s):  
School Districts ◽  
Leadership Practice ◽  
Policy Practice ◽  
Data Practices ◽  
Semistructured Interviews ◽  
Disaggregated Data ◽  
Disaggregate Data ◽  
Low Performance ◽  
Role Of The Principal

Purpose: We explored the practices and understandings around using disaggregated data to inform instruction of 18 principals from three Midwestern school districts. Research Method: This qualitative study used one-on-one semistructured interviews with the principals focusing on how they disaggregate data in practice. The protocol included general questions about principals’ data practices as well as specific questions around disaggregation. Initial inductive coding began with principals’ direct responses to specific questions around disaggregation, and then emerging themes were used to analyze the entire transcripts. Findings: Participants were more likely to talk about disaggregation in relation to performance (by teacher, by grade level, etc.) than by subgroup (by race/ethnicity, by gender, etc.). Further analysis highlighted principals’ purposes for disaggregating data that focused on identifying low performance on standards-based assessments, as well as the challenges they faced, particularly in terms of technical skills and software. Implications for Research and Practice: We conclude with a discussion of how disaggregation could support or challenge equity-focused leadership, with implications for policy, practice, and preparation. We consider the role of the principal in identifying inequitable patterns versus focusing on individual students, and different ways that equity can become part of regular leadership practice.

Human Spatial Behavior, Sensor Informatics, and Disaggregate Data

2013 ◽  
pp. 224-242 ◽  
Author(s):  
Anastasia Petrenko ◽  
Scott Bell ◽  
Kevin Stanley ◽  
Winchel Qian ◽  
Anton Sizo ◽  
...  
Keyword(s):  
Spatial Behavior ◽  
Disaggregate Data

A comparative study of market share models using disaggregate data

1990 ◽  
Vol 6 (2) ◽  
pp. 163-174 ◽  
Author(s):  
V. Kumar ◽  
Timothy B. Heath
Keyword(s):  
Comparative Study ◽  
Market Share ◽  
Disaggregate Data

An Empirical Analysis of the Relationships among State Transfers, Local Revenues and Expenditures in the Growth of the Italian Government

2000 ◽  
Vol 18 (2) ◽  
pp. 171-185
Author(s):  
Gabriella Legrenzi
Keyword(s):  
Local Governments ◽  
Fiscal Federalism ◽  
Flypaper Effect ◽  
Remarkable Feature ◽  
Expenditure Patterns ◽  
Cointegrating Vector ◽  
Local Expenditure ◽  
High Elasticity ◽  
Disaggregate Data ◽  
Post War

Abstract The analysis of local governments as potential devices to improve the efficiency of public sectors becomes particularly important for Italy, given both the relevant post-war growth of its public sector and the supra-national constraints imposed by the European Monetary Union. The purpose of this paper is to investigate into the relationships between central and local governments’ revenue-expenditure patterns, by considering disaggregate data on Regioni, Province and Comuni. The empirical results exhibit a high elasticity of local expenditure with respect to State transfers, and insignificance of local taxation revenues in determining local expenditure, as a strong version of the so-called flypaper effect. The identification of a second cointegrating vector between State transfers and own resources, with an ambiguous sign, is another remarkable feature of the Italian fiscal federalism, and points to die need for a more efficient monitoring in allocating State transfers.

scholarly journals Pricing of risk and volatility dynamics on an emerging stock market: evidence from both aggregate and disaggregate data

2016 ◽  
Vol 29 (1) ◽  
pp. 799-815
Author(s):  
Faisal Khan ◽  
Saif-Ur Rehman ◽  
Hashim Khan ◽  
Tie Xu
Keyword(s):  
Stock Market ◽  
Disaggregate Data

RISK-RETURN TRADE-OFF AND BEHAVIOUR OF VOLATILITY ON THE SOUTH AFRICAN STOCK MARKET: EVIDENCE FROM BOTH AGGREGATE AND DISAGGREGATE DATA

2012 ◽  
Vol 80 (3) ◽  
pp. 345-366 ◽  
Author(s):  
NEVILLE ZIVANAYI MANDIMIKA ◽  
ZIVANEMOYO CHINZARA
Keyword(s):  
Stock Market ◽  
South African ◽  
The South ◽  
Trade Off ◽  
Risk Return ◽  
Disaggregate Data

scholarly journals Using control charts to understand community variation in COVID-19

PLoS ONE ◽  
2021 ◽  
Vol 16 (4) ◽  
pp. e0248500
Author(s):  
Moira Inkelas ◽  
Cheríe Blair ◽  
Daisuke Furukawa ◽  
Vladimir G. Manuel ◽  
Jason H. Malenfant ◽  
...  
Keyword(s):  
Process Control ◽  
Statistical Process Control ◽  
Control Charts ◽  
Ease Of Use ◽  
Decision Makers ◽  
Statistical Process ◽  
Policy Makers ◽  
Disaggregate Data ◽  
Community Variation ◽  
Neighborhood Level

Decision-makers need signals for action as the coronavirus disease 2019 (COVID-19) pandemic progresses. Our aim was to demonstrate a novel use of statistical process control to provide timely and interpretable displays of COVID-19 data that inform local mitigation and containment strategies. Healthcare and other industries use statistical process control to study variation and disaggregate data for purposes of understanding behavior of processes and systems and intervening on them. We developed control charts at the county and city/neighborhood level within one state (California) to illustrate their potential value for decision-makers. We found that COVID-19 rates vary by region and subregion, with periods of exponential and non-exponential growth and decline. Such disaggregation provides granularity that decision-makers can use to respond to the pandemic. The annotated time series presentation connects events and policies with observed data that may help mobilize and direct the actions of residents and other stakeholders. Policy-makers and communities require access to relevant, accurate data to respond to the evolving COVID-19 pandemic. Control charts could prove valuable given their potential ease of use and interpretability in real-time decision-making and for communication about the pandemic at a meaningful level for communities.

scholarly journals Reducing emissions in London schools with photovoltaics

2021 ◽  
Vol 2042 (1) ◽  
pp. 012099
Author(s):  
Daniel Godoy-Shimizu ◽  
Stephen Evans ◽  
Ivan Korolija ◽  
Dominic Humphrey ◽  
Sung-Min Hong ◽  
...  
Keyword(s):  
Primary Schools ◽  
Energy Use ◽  
Electricity Demand ◽  
Architectural Heritage ◽  
Key Factors ◽  
Heritage Building ◽  
Disaggregate Data ◽  
Pv Generation ◽  
The Impact

Abstract This paper examines the potential for PV to improve the performance of primary schools in London. Disaggregate data including energy use is compared with modelled PV generation, showing that electricity demand could theoretically be met in 59% of the schools investigated. The impact of several key factors is then considered, including architectural heritage, building age and form. The results show that the greatest PV potential exists in newer schools, as well as those that are shorter and with less dense forms.

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