02.12.2020 NaDiMa Dialogue #6 | Using Stata for Climate Change Research | 17th December 2020, 10:00 a.m. - 4:00 p.m. (CET)

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This interactive event includes two separate workshops, which build on each other in their application.

Workshop 1:

Instructor: Tamara Bogatzki

Agenda: We will replicate Cattaneo & Peri (2016): “The migration response to increasing temperatures,” Journal of Development Economics, 122. 127-146.  Using quantitative panel analysis, we will find out if and how the warming climate has affected migration patterns across 115 countries between 1960 and 2000. The agenda will be twofold:

1.       Introduction & Theoretical Background (approx. 45 min)

          - global warming & migration patterns
          - panel data
          - fixed effects regression

2.       Replication Session (approx. 1 hour and 45 min)

          - merging and preparing data from various sources
          - fixed effects regression
          - interpreting regression results

Aims: By the end of the course, students will

         - have a basic understanding of fixed effects regression and its application areas
         - be able to create reproducible, well-documented Stata do-files
         - be able to merge data from various sources into a single data set
         - know how to create and transform variables to their needs
         - have applied fixed effects regression analysis
         - know how to interpret fixed effects regression results

 Workshop 2:

Instructor: Phoebe W. Ishak

Agenda: We will introduce spatial econometrics techniques and replicate "Harari, M. & La Ferrara, E., 2018. Conflict, Climate and Cells: A Disaggregated Analysis. Review of Economics and Statistics, 100 (4), 594-608". The agenda of the second half of the workshop will be as follows:

 1.      Introduction to spatial econometrics (1- 1.5 hours)

          - Creating spatial weights matrices
          - Calculating Moran's I for cross-sectional data
          - Estimating spatial models for cross-sectional and panel data

 2.      Replication session (1 hour)

          - Prepare dataset and do files
          - Spatial regression models for panel data
          - Interepretation of regression results


Aims: By the end of the workshop, participants will

         - have a basic understanding of spatial econometrics and its application
         - be able to run spatial regressions in Stata
         - be able to interpret the results

Prerequisites:

Basic knowledge of uni- and bivariate statistics and a working knowledge of Stata is required

The workshop is aimed at Master & PhD students with interests in empirical research on climate change. Please contact us in case of any questions about the prerequisites.Tamara Bogatzki, WZB Berlin Social Science Center

Workshop Instructors:

Tamara Bogatzki is is a PhD student in the TRANSMIT project of the Department of Migration, Integration, Transnationalization. She investigates how the interaction of socio-cultural factors and networks affects migration decisions.

Phoebe W. Ishak, John F. Kennedy Institute for North American Studies, FU Berlin

Phoebe W. Ishak is a postdoctoral researcher at Freie Universität Berlin and John F. Kennedy Institute for North American Studies. She holds a PhD in Economics from Universität Hamburg. Phoebe’s research focus is development economics, applied microeconomics, labor economics, and political economy. Her research seeks to demark the effect of income shocks and labor market structure on various economic, social and political outcomes at the national and local levels.
Time and Place: 17th December 2020, 10:00 am - 4:00 pm (CET), Online

How to join: The capacities are limited. Slots are allocated on a "first come, first served" principle. Click here to register for the event.

Platform: We are using Adobe Connect for the NaDiMa Dialogue Series. It can be accessed via browser or desktop app.
Meeting Applications for Adobe Connect can be downloaded here

Instructions and Technical Requirements for Participants:
Quick Start Guide for Participants
How to be a Participant in Adobe Connect (YouTube)

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