1. Do federally compliant open container laws affect drunk drinking - Leah
She has a very interesting topic about the effect of the open container laws on the crash percentage, which could potentially has a lot of policy implications at the end. I like how she approached her hypothesis with a set of panel data with a good time range (1998 - 2006). I think that this project is more complicated than the average, since panel data was the last topic covered in class. She has colorful graphs, and a very nice poster board. Leah also mentioned one limitation that might make the result look the way she didn’t want to, which is missing the age from 20-26. As a result, she had to remove a lot of the variables that she wanted to include in the beginning, because those are not statistically significant at the conventional level. However, I like her project the most out of the four presentations today. Her voice was clear, and she talked in a very confident and calm manner. She seemed to know her project and her data very well. …show more content…
I liked how he guided us through the reasons why he was interested in doing his project (using the literature review). However, I personally think that his poster board could be more polished. Since the space is limited, he should sort out the information that were the most relevant to his project (rather than two paragraphs about the Mismeasure of NAIRU). Another concern about Barkin’s project was that he was working with such small dataset (his best model only had 21 observations). I would be hesistant when it comes to making recommendations or predictions if I was to work with such small dataset. I think his main method was adding proxy variables. His test for serial correlation was inconclusive, so I also wasn’t sure why he didn’t mention controlling for time. Overall, he had done a great job in delivering a very energizetic
She has a very interesting topic about the effect of the open container laws on the crash percentage, which could potentially has a lot of policy implications at the end. I like how she approached her hypothesis with a set of panel data with a good time range (1998 - 2006). I think that this project is more complicated than the average, since panel data was the last topic covered in class. She has colorful graphs, and a very nice poster board. Leah also mentioned one limitation that might make the result look the way she didn’t want to, which is missing the age from 20-26. As a result, she had to remove a lot of the variables that she wanted to include in the beginning, because those are not statistically significant at the conventional level. However, I like her project the most out of the four presentations today. Her voice was clear, and she talked in a very confident and calm manner. She seemed to know her project and her data very well. …show more content…
I liked how he guided us through the reasons why he was interested in doing his project (using the literature review). However, I personally think that his poster board could be more polished. Since the space is limited, he should sort out the information that were the most relevant to his project (rather than two paragraphs about the Mismeasure of NAIRU). Another concern about Barkin’s project was that he was working with such small dataset (his best model only had 21 observations). I would be hesistant when it comes to making recommendations or predictions if I was to work with such small dataset. I think his main method was adding proxy variables. His test for serial correlation was inconclusive, so I also wasn’t sure why he didn’t mention controlling for time. Overall, he had done a great job in delivering a very energizetic