Subscribe into your email
Wednesday, November 25, 2009
Thursday, September 10, 2009
Wednesday, August 26, 2009
Tuesday, July 14, 2009
In order to make progress on doing macroeconomics in India, one weak link has been business cycle measurement. This, in turn, requires access to a wide range of seasonally adjusted time-series. In most countries, the infrastructure of seasonally adjusted data is produced by the statistical system, but in India this has not come about.
Seasonally adjusted series are particularly important in tracking current developments in the economy. The familiar year-on-year change is the moving average of the latest twelve monthly changes. In order to know what is happening in the economy, it is better to look at recent months, rather than looking back 12 months. The familiar y-o-y changes are a sluggish indicator of what is happening. Month-on-month changes are more informative: but this requires seasonal adjustment.
We have initiated some computation and release at cycle.in
At present, we have a dataset with seasonally adjusted levels for a few time-series. We will be updating this every Monday. At the above URL, you get a sense of what is happening with month-on-month changes of seasonally adjusted data in these series.
In the spirit of creating public goods, we make it easy for you to embed these graphs into your work products. We also have a .csv file with data for levels which can be the foundation of further work.
This will be useful in tracking current developments in the economy, and also make possible research in macroeconomics, which critically requires seasonally adjusted data.
We hope this is useful. Please use the comments on this blog post to give us feedback.
Tuesday, May 12, 2009
Come work for the NIPFP-DEA Research Program:
- Policy analyst
- A Masters or a Ph.D.
- Exposure to economics / finance
- Exposure to the world of public policy
- Experience with regulations / law will be a plus point
- Should have read the Percy Mistry and Raghuram Rajan reports.
- Good quality written english.
- Quantitative analyst
- A Masters of a Ph.D. in a quantitative field (e.g. economics, statistics, mathematics, engineering).
- Skills in statistics / econometrics
- Experience in being part of a similar team doing applied econometrics
- Computer programming - e.g. R / gauss / matlab / scilab.
- Research Programmer
- Knowledge of programming languages such as C, perl, shell, R.
- Software engineering environment e.g. make, subversion
- Role will be partly to build stuff, but partly to learn new things and pass them on to the researchers, and help them in troubleshooting.
- Comfort with living on the Unix commandline
- Ability to install and admin Linux
- Interest in being in a research environment