U SING S CENARIOS IN A CADEMIC R ESEARCH TO S TUDY THE F UTURE International Migration Institute...
-
Upload
darleen-randall -
Category
Documents
-
view
216 -
download
0
Transcript of U SING S CENARIOS IN A CADEMIC R ESEARCH TO S TUDY THE F UTURE International Migration Institute...
![Page 1: U SING S CENARIOS IN A CADEMIC R ESEARCH TO S TUDY THE F UTURE International Migration Institute (IMI) Oxford Department of International Development Oxford.](https://reader035.fdocuments.net/reader035/viewer/2022062422/56649f175503460f94c2d365/html5/thumbnails/1.jpg)
USING SCENARIOS IN ACADEMIC RESEARCH TO STUDY THE FUTURE
International Migration Institute (IMI)Oxford Department of International DevelopmentOxford Martin SchoolUniversity of Oxford
Hein de Haas International Migration Institute (IMI)
Oxford Department of International Development
Oxford Martin School
University of Oxford
![Page 2: U SING S CENARIOS IN A CADEMIC R ESEARCH TO S TUDY THE F UTURE International Migration Institute (IMI) Oxford Department of International Development Oxford.](https://reader035.fdocuments.net/reader035/viewer/2022062422/56649f175503460f94c2d365/html5/thumbnails/2.jpg)
STUDYING THE FUTURE: ‘CONVENTIONAL’ FORECASTING
Reliance on quantitative data and statistical analysis
Model parameters derived from past events are used to predict the future
![Page 3: U SING S CENARIOS IN A CADEMIC R ESEARCH TO S TUDY THE F UTURE International Migration Institute (IMI) Oxford Department of International Development Oxford.](https://reader035.fdocuments.net/reader035/viewer/2022062422/56649f175503460f94c2d365/html5/thumbnails/3.jpg)
USING FORECASTING MODELS: AN EXAMPLE
Dustmann et al. (2003), a report commissioned by the Home Office to forecast net immigration to the UK after the enlargement of the EU:
Forecasted that net immigration to the UK from the AC10 would be ‘relatively small , between 5,000 and 13,000 immigrants per year up to 2010’.
The UK decided to open labour markets to the AC10 countries in 2004.
![Page 4: U SING S CENARIOS IN A CADEMIC R ESEARCH TO S TUDY THE F UTURE International Migration Institute (IMI) Oxford Department of International Development Oxford.](https://reader035.fdocuments.net/reader035/viewer/2022062422/56649f175503460f94c2d365/html5/thumbnails/4.jpg)
FLOWS ESTIMATES TO SEPT. 2009
0
100,000
200,000
300,000
400,000
500,000
600,000
700,000
800,000
Baseline Model 1 Baseline Model 2 Current Estimate
Migration from A10
Even with a statistically sound estimation they missed the actual number dramatically
![Page 5: U SING S CENARIOS IN A CADEMIC R ESEARCH TO S TUDY THE F UTURE International Migration Institute (IMI) Oxford Department of International Development Oxford.](https://reader035.fdocuments.net/reader035/viewer/2022062422/56649f175503460f94c2d365/html5/thumbnails/5.jpg)
WHY DO STATISTICAL FORECASTS OFTEN DELIVER POOR ESTIMATES?
They assume the same structure across societies
They assume the same structure across time
Explanatory variables are forecasted based on questionable assumptions (e.g., linear extrapolation of past trends)
Complex causality and feedback mechanisms
Limitations of data and quantification
![Page 6: U SING S CENARIOS IN A CADEMIC R ESEARCH TO S TUDY THE F UTURE International Migration Institute (IMI) Oxford Department of International Development Oxford.](https://reader035.fdocuments.net/reader035/viewer/2022062422/56649f175503460f94c2d365/html5/thumbnails/6.jpg)
FINDING DATA CAN BE A PROBLEM… In many cases the data don’t exist and the
parameters of the model must be estimated using historical migration data from other countries.
Therefore it assumes the same structure across countries.
Country A
Country B
![Page 7: U SING S CENARIOS IN A CADEMIC R ESEARCH TO S TUDY THE F UTURE International Migration Institute (IMI) Oxford Department of International Development Oxford.](https://reader035.fdocuments.net/reader035/viewer/2022062422/56649f175503460f94c2d365/html5/thumbnails/7.jpg)
COMPLEX LEVELS OF IMPACTS AND FEEDBACKContextual
Environment ‘external factors’
Demographics
Macroeconomic policies of the host countries
Global economy
Oil prices
Social values
Technology
Geo-political trendsEnvironmental change
Local policies
Development
Migrationflows
‘internal factors’
Interest groupsMedia
Migration policies
![Page 8: U SING S CENARIOS IN A CADEMIC R ESEARCH TO S TUDY THE F UTURE International Migration Institute (IMI) Oxford Department of International Development Oxford.](https://reader035.fdocuments.net/reader035/viewer/2022062422/56649f175503460f94c2d365/html5/thumbnails/8.jpg)
IF WE HAVE DATA, WE STILL HAVE UNCERTAINTIES
Two major uncertainties:
Migration = f (yhost, yhome, networks, policy, conflict, environment…)
Model uncertainties: limitations in our understanding of the mechanisms that drive migration processes.
Contextual uncertainties: our limited knowledge and imagination about future changes in the context in which migration occurs.
![Page 9: U SING S CENARIOS IN A CADEMIC R ESEARCH TO S TUDY THE F UTURE International Migration Institute (IMI) Oxford Department of International Development Oxford.](https://reader035.fdocuments.net/reader035/viewer/2022062422/56649f175503460f94c2d365/html5/thumbnails/9.jpg)
SCENARIOS: WHAT ARE THEY?
Scenarios allow us to Systematically explore possible developments in the
future Prepare us for the likelihood of change Learn to expect the unexpected (not business as
usual)
Through Uncovering assumptions underlying conventional
thinking Stimulate ‘out-of-the-box’ thinking Identify certainties and uncertainties
Focus on uncertainties to explore alternative futures
![Page 10: U SING S CENARIOS IN A CADEMIC R ESEARCH TO S TUDY THE F UTURE International Migration Institute (IMI) Oxford Department of International Development Oxford.](https://reader035.fdocuments.net/reader035/viewer/2022062422/56649f175503460f94c2d365/html5/thumbnails/10.jpg)
A forecast or projection of today into the future
An alternative specification of the forecasting model
BUT THEY ARE visualisations of possible futures that we do not necessarily expect to come true.
SCENARIOS: WHAT ARE THEY NOT?
![Page 11: U SING S CENARIOS IN A CADEMIC R ESEARCH TO S TUDY THE F UTURE International Migration Institute (IMI) Oxford Department of International Development Oxford.](https://reader035.fdocuments.net/reader035/viewer/2022062422/56649f175503460f94c2d365/html5/thumbnails/11.jpg)
SCENARIO CHARACTERISTICS
Stories created using multiple perspectives on: What has happened in the past What we know today What could possibly develop in the future
The stories must be: Plausible Coherent Challenge our assumptions and expectations
Scenarios neither represent a perfect world, nor an apocalyptic world – they are a mix of positive and negative events and outcomes that do not simply reproduce the status quo
![Page 12: U SING S CENARIOS IN A CADEMIC R ESEARCH TO S TUDY THE F UTURE International Migration Institute (IMI) Oxford Department of International Development Oxford.](https://reader035.fdocuments.net/reader035/viewer/2022062422/56649f175503460f94c2d365/html5/thumbnails/12.jpg)
CREATING A NEW FRAMEWORK
Identify uncertainties Rather than building a model on the certainties, we
identify and focus on the uncertainties and try to account for unexpected discontinuities
Uncertainties
Forecasts Historical precedents allow us to estimate probabilities of various possible outcomes in the near future
Structural uncertainties:It is possible to use intuition and logic to understand how certain events might evolve in the future, yet we cannot be certain on the outcome.Within structural uncertainties, there are aspects that are predictable – these are predetermined elements
Unknowables: Impossible to imagine
![Page 13: U SING S CENARIOS IN A CADEMIC R ESEARCH TO S TUDY THE F UTURE International Migration Institute (IMI) Oxford Department of International Development Oxford.](https://reader035.fdocuments.net/reader035/viewer/2022062422/56649f175503460f94c2d365/html5/thumbnails/13.jpg)
THE BALANCE OF PREDICTABILITY AND UNCERTAINTY
Source: van der Heijden, 2005
![Page 14: U SING S CENARIOS IN A CADEMIC R ESEARCH TO S TUDY THE F UTURE International Migration Institute (IMI) Oxford Department of International Development Oxford.](https://reader035.fdocuments.net/reader035/viewer/2022062422/56649f175503460f94c2d365/html5/thumbnails/14.jpg)
INVOLVING STAKEHOLDERS
![Page 15: U SING S CENARIOS IN A CADEMIC R ESEARCH TO S TUDY THE F UTURE International Migration Institute (IMI) Oxford Department of International Development Oxford.](https://reader035.fdocuments.net/reader035/viewer/2022062422/56649f175503460f94c2d365/html5/thumbnails/15.jpg)
Uncertainties Certainties
IDENTIFY CERTAINTIES AND UNCERTAINTIES
Slide’s author: Rafael Ramirez
![Page 16: U SING S CENARIOS IN A CADEMIC R ESEARCH TO S TUDY THE F UTURE International Migration Institute (IMI) Oxford Department of International Development Oxford.](https://reader035.fdocuments.net/reader035/viewer/2022062422/56649f175503460f94c2d365/html5/thumbnails/16.jpg)
Uncertainties thatmatter most
EVALUATING THEIR RELATIVE IMPACT AND UNCERTAINTY
Slide’s author: Rafael Ramirez
Our ignoranceon how the issue plays out(greatest lack of knowledge/level of unfamiliarity)
Least uncertain and Least impact on migration
Greatestmigration impact
Select the two uncertainties that are most uncertain + will have the most impact on migration for the scenario axes
![Page 17: U SING S CENARIOS IN A CADEMIC R ESEARCH TO S TUDY THE F UTURE International Migration Institute (IMI) Oxford Department of International Development Oxford.](https://reader035.fdocuments.net/reader035/viewer/2022062422/56649f175503460f94c2d365/html5/thumbnails/17.jpg)
CREATING THE ‘SCENARIO MATRIX’
Outcome A Outcome B
Scenario ‘BC’
Scenario ‘BD’
Outcome D
Outcome C
Scenario ‘AD’
Scenario ‘AC’
Image’s author: Rafael Ramirez