Leveraging Quasi-Experimental Methods to Estimate Model Structure: Understanding School Funding Changes in Response to Court Orders

Leveraging Quasi-Experimental Methods to Estimate Model Structure: Understanding School Funding Changes in Response to Court Orders

We discuss an approach to using the event study, a common experimental design in the social sciences, to parameterize delays and develop other insights into system structure. We show a step-by-step process for undertaking a delay event study, discuss some of the conceptual reasons that this provides...

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Bibliographic Details
Main Authors: Kawika Pierson, Jon C. Thompson
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Systems
Subjects:
delay estimation
event study
delay order
delay parameterization
Online Access:https://www.mdpi.com/2079-8954/8/3/25
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spelling doaj-bbb6a9062b3c46899c1edca8a23a34f12020-11-25T03:07:39ZengMDPI AGSystems2079-89542020-07-018252510.3390/systems8030025Leveraging Quasi-Experimental Methods to Estimate Model Structure: Understanding School Funding Changes in Response to Court OrdersKawika Pierson0Jon C. Thompson1Atkinson Graduate School of Management, Willamette University, 900 State Street, Salem Oregon, 503-370-6238, OR 97301, USAAtkinson Graduate School of Management, Willamette University, 900 State Street, Salem Oregon, 503-370-6238, OR 97301, USAWe discuss an approach to using the event study, a common experimental design in the social sciences, to parameterize delays and develop other insights into system structure. We show a step-by-step process for undertaking a delay event study, discuss some of the conceptual reasons that this provides information about the delay, and illustrate the process for a typical example. We find evidence that school funding changes following court orders do not adjust quickly, and likely follow a higher-order, as opposed to a first-order, delay process. Our tests also suggest that school district budget makers appear to forecast revenue pessimistically, contributing an additional source of delay to the system.https://www.mdpi.com/2079-8954/8/3/25delay estimationevent studydelay orderdelay parameterization
collection DOAJ
language English
format Article
sources DOAJ
author Kawika Pierson
Jon C. Thompson
spellingShingle Kawika Pierson
Jon C. Thompson
Leveraging Quasi-Experimental Methods to Estimate Model Structure: Understanding School Funding Changes in Response to Court Orders
Systems
delay estimation
event study
delay order
delay parameterization
author_facet Kawika Pierson
Jon C. Thompson
author_sort Kawika Pierson
title Leveraging Quasi-Experimental Methods to Estimate Model Structure: Understanding School Funding Changes in Response to Court Orders
title_short Leveraging Quasi-Experimental Methods to Estimate Model Structure: Understanding School Funding Changes in Response to Court Orders
title_full Leveraging Quasi-Experimental Methods to Estimate Model Structure: Understanding School Funding Changes in Response to Court Orders
title_fullStr Leveraging Quasi-Experimental Methods to Estimate Model Structure: Understanding School Funding Changes in Response to Court Orders
title_full_unstemmed Leveraging Quasi-Experimental Methods to Estimate Model Structure: Understanding School Funding Changes in Response to Court Orders
title_sort leveraging quasi-experimental methods to estimate model structure: understanding school funding changes in response to court orders
publisher MDPI AG
series Systems
issn 2079-8954
publishDate 2020-07-01
description We discuss an approach to using the event study, a common experimental design in the social sciences, to parameterize delays and develop other insights into system structure. We show a step-by-step process for undertaking a delay event study, discuss some of the conceptual reasons that this provides information about the delay, and illustrate the process for a typical example. We find evidence that school funding changes following court orders do not adjust quickly, and likely follow a higher-order, as opposed to a first-order, delay process. Our tests also suggest that school district budget makers appear to forecast revenue pessimistically, contributing an additional source of delay to the system.
topic delay estimation
event study
delay order
delay parameterization
url https://www.mdpi.com/2079-8954/8/3/25
work_keys_str_mv AT kawikapierson leveragingquasiexperimentalmethodstoestimatemodelstructureunderstandingschoolfundingchangesinresponsetocourtorders
AT joncthompson leveragingquasiexperimentalmethodstoestimatemodelstructureunderstandingschoolfundingchangesinresponsetocourtorders
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