밤에 쓰는 편지 밤에 쓰는 편지

아무 생각 없이, recommended journal로 transfer했는데, 당연히 '더 지표가 낮겠지, 좀 더 accept 확률이 높지 않을까?'했는데, transfer하고 나서,'근데 무슨 journal이지? ㅋㅋㅋ'하고 확인해보니까, 처음에 submit한 journal보다 지표가 더 높아.. ;; 헐어떡하지? ㅋㅋㅋ 왜 이렇게 추천해주지? ㅋㅋㅋ 이럴 수가 있나? ㅋㅋㅋ 모르겠다. 또 한 3개월 걸리고 나면, data 더 나오겠네 ㅋㅋㅋ 그때 revision을 하든지 해야겠닼ㅋㅋㅋ 지금은 할 게 너무 많아서 ㅋㅋㅋ 일단 시간 벌었네.

자세한 reviewer의 comment는 나중에 정리하겠지만,어느정도 예상에서 벗어나지 않는다. 일단 data가 너무 부족하다.특별한 novelty가 있는 것도 아니고. 몇 가지 보완사항을 comment해주었는데 나 또 이대로 구천을 떠돌게 방치할 것만 같다 -_- 나의 구천을 떠도는 두 번째 논문이 되는 것인가? transfer 제안을 받은그냥 아무 저널에 transfer 해야겠다. 결국 논문less로 졸업하는 건가 ㅋㅋ엄청 대단한 논문을 쓰거나 대단한 저널에 publish하는 건 처음부터 바라지도 않았지만그래도 석사라면나름 하나라도 남겨야 하지 않을까? 했지만하나도 없네 ㅋㅋㅋ 박사는 안하는 걸로 (못 하는 걸로) 맘 굳혔다. (근데 이렇게 맘 먹고 나니 좀 맴이 편하다.) 못 하는 걸 억지로 한다고..

Let me now discuss the main limitations of our study. As we all know, childbirth typically follows a timeline of about one year from conception to delivery. This means that the impact of any fertility policy would logically require at least a year to become fully visible in the data. Previous studies have addressed this by using lagged policy variables. However, in our case, the i-Dream policy w..

The goal of this study is to evaluate the impact of Incheon's i-Dream policy on fertility outcomes. To do this, we use panel data from 16 cities, including Incheon, covering the period from 2000 to 2024. The policy was indroduced in Incheon in 2024. That gives us 24 years of pre-treatment periods and one post-treatment period so far. In our setup, Incheon is the only treated unit, and the remain..

1) Difference-in-Differences (DiD)When we have data from both before and after an intervention and want to isolate the impact of the intervention from general trends, one common method is Difference-in-Differences. DID is widely used in policy evaluations. The idea is to use another city as a control group to estimate the counterfactual—what would have happened in Incheon if the policy had not b..

For this study, we use panel data from 16 metropolitan and provincial cities in South Korea, covering the period from 2000 to 2024. We focus on two main outcome variables:Total Fertility Rate and the number of births.If you look at the figure, you can see that both TFR and birth counts have declined across all regions — though the levels vary by city.This highlights the persistent downward trend..

Previous studies on childbirth incentives in South Korea show mixed results — and those results vary depending on the time period, region, and method used.This highlights the importance of carefully considering the scope and approach when interpreting findings. First, the geographical scope differs.Some papers cover all 230 municipalities across the country, while others focus on specific areas ..

South Korea’s low birth rate is now a global concern — even international media are raising alarms.Just this past April, the popular science channel Kurzgesagt(쿠르츠게작트), with over 24 million subscribers, released a video titled:“South Korea is Over.” The video quickly went viral — reaching more than 12 million views.And notably — unlike their usual cautious tone, the channel used the stark word “..