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How to Give a Presentation Ron Davies February 19, 2010.

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Presentation on theme: "How to Give a Presentation Ron Davies February 19, 2010."— Presentation transcript:

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2 How to Give a Presentation Ron Davies February 19, 2010

3 Hints 1. Dress nicely. 2. Limit the number of slides. 3. Make the first slide creative.

4 Tax Competition in an Expanding EU Ron Davies (UCD) and Johannes Voget (Oxford and Heidelburg)

5 FDI in Space Bruce A. Blonigen, Ronald B. Davies, Glen R. Waddell, and Helen Naughton Department of Economics, University of Oregon, Eugene, OR 97403-1285, USA This Draft: November 2005

6 Hints 4. Use color. 5. Font size is critical.

7 Font Size This is 36 This is 28 This is 24 This is 20 This is 16 This is 12 This is 10

8 Hints 6. Avoid lots of text.

9 How many of you are listening right now? We develop the first theory driven weighting scheme for use in international taxation for our econometrics – Anselin (1988) notes need for theory to choose weights, theory specified weights are important – Improves on existing literature which finds weak evidence of tax competition, at best significant coefficients 50% of the time. – Our weights are driven by market potential, i.e. the domestic market plus access to other countries, including the parent country Baldwin and Krugman (EER, 2004)

10 This is better. We develop the first theory driven weighting scheme for our econometrics – Anselin (1988) notes need for theory to choose weights – Improves on existing literature which finds weak evidence of tax competition. – Weights driven by market potential, i.e. the domestic market plus access to others Baldwin and Krugman (EER, 2004)

11 Hints 7. Limit animation. This looks really stupid. This takes forever to show up.

12 The Striptease It Isn’t As Cool As You Hoped.

13 Hints 8. Explain what and why in the first few slides.

14 Our Goal Is there empirical evidence for – Tax competition overall? Does the tax in one country depend on the taxes set elsewhere? – An impact of EU expansion on tax competition? Answer: yes on both counts – Taxes in one country depend on taxes in others – EU members are more sensitive to the taxes of other members than they are to non-members

15 Hints 9. Use a roadmap.

16 Road map Theory: what weights to use? Data/Empirical approach Results Robustness Checks Conclusion

17 Hints 10. Lit reviews Only tell them what’s critical Don’t use lists Give where it’s from Baldwin and Krugman (EER, 2004)

18 Hints 11. Read your equations

19 Hints 12. Use maps, flow charts, etc.

20 FDI Motivations: Export Platform Parent Host A Host B Host C FDI Trade Spatial Lag: Negative Market Potential Effects: Positive

21 Profits as a function of fuel intensity

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25 Hints 13. Use parts of tables

26 Robustness Checks Only European CountriesOnly 1995-2005 Non-EU Spatial Lag l,t 0.805***0.481***2.669***0.786* (0.198)(0.178)(0.538)(0.473) EU l,t *Non-EU Sp Lag l,t -0.642***-0.230*-0.448*-0.074 (0.183)(0.126)(0.252)(0.115) EU Spatial Lag l,t 1.0550.796**3.993***1.290* (0.686)(0.376)(0.783)(0.684) EU l,t *EU Spatial Lag l,t 0.4910.063-0.072-0.281 (0.534)(0.325)(0.327)(0.199) Market Potential l,t 0.207***3.432***0.108***2.274*** (0.029)(0.805)(0.015)(0.757) Gov. Expenditures l,t-1 0.422***-0.0930.337***-0.598*** (0.050)(0.127)(0.064)(0.166) Urban l,t 0.544***0.1881.119***0.563 (0.125)(0.299)(0.137)(0.448) Dependency l,t -1.882***-0.977***-1.055***0.261 (0.261)(0.162)(0.204)(0.319) EU l,t -0.167-0.559**-0.688*-0.755*** (0.488)(0.282)(0.375)(0.217) Openness l,t 0.051***0.2290.0050.318 (0.012)(0.273)(0.007)(0.237) Trend t 0.019-0.108***0.167***-0.050 (0.022)(0.033)(0.038)(0.050) Constant-6.593***-38.940***-3.763***-24.943*** (0.791)(8.530)(0.672)(7.221) Observations516 395 R-squared0.5000.8780.4240.877 Fixed EffectsNoYesNoYes

27 Robustness Checks Only European CountriesOnly 1995-2005 Non-EU Spatial Lag l,t 0.805***0.481***2.669***0.786* (0.198)(0.178)(0.538)(0.473) EU l,t *Non-EU Sp Lag l,t -0.642***-0.230*-0.448*-0.074 (0.183)(0.126)(0.252)(0.115) EU Spatial Lag l,t 1.0550.796**3.993***1.290* (0.686)(0.376)(0.783)(0.684) EU l,t *EU Spatial Lag l,t 0.4910.063-0.072-0.281 (0.534)(0.325)(0.327)(0.199) Observations516 395 R-squared0.5000.8780.4240.877 Fixed EffectsNoYesNoYes

28 Hints 14. What is the unit of observation? Why show them a table of summary statistics? And use stars!

29 Countries in the Sample CountryFirst YearJoined EUCountryFirst YearJoined EU Australia1982-Korea1996- Austria *† 19821995Latvia * 19962004 Belgium *† 19821957Lithuania * 19962004 Bulgaria * 19942007Luxembourg *† 19911957 Canada1980-Malta * 19892004 China1991-Mexico1995- Cyprus * 19942004Netherlands *† 19801957 Czech Republic * 19912004New Zealand1991- Denmark *† 19861973Norway * 1982- Estonia * 19942004Poland * 19922004 Finland *† 19821995Portugal *† 19821986 France *† 19801957Slovak Republic * 19912004 Germany *† 19801957Slovenia * 19952004 Greece *† 19801981Spain *† 19801986 Hungary * 19912004Sweden *† 19821995 Iceland1992-Switzerland * 1982- Ireland *† 19801973UK *† 19801973 Italy *† 19801957United States1980- Japan1980-

30 Robustness Checks Only European CountriesOnly 1995-2005 Non-EU Spatial Lag l,t 0.805***0.481***2.669***0.786* (0.198)(0.178)(0.538)(0.473) EU l,t *Non-EU Sp Lag l,t -0.642***-0.230*-0.448*-0.074 (0.183)(0.126)(0.252)(0.115) EU Spatial Lag l,t 1.0550.796**3.993***1.290* (0.686)(0.376)(0.783)(0.684) EU l,t *EU Spatial Lag l,t 0.4910.063-0.072-0.281 (0.534)(0.325)(0.327)(0.199) Observations516 395 R-squared0.5000.8780.4240.877 Fixed EffectsNoYesNoYes

31 Hints 15. Conclusion slide. What and why What should they walk out remembering?

32 Conclusion We find robust evidence of tax competition for mobile capital – Note: This is not the only interpretation of the positive spatial lag. Trade agreements affect tax competition – Non-EU respond the same to both – EU responds more to EU than non-EU

33 Hints 16. Practice! 17. Handling questions. 18. Know your audience. 19. Look at your audience.

34 Hints 20. Snapshot in pdf.

35 Summary Good presenting skills are just that – a skill Practice and effort critical How you present yourself gets (and loses) jobs


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