DataSpot

GDP is the most famous economic measure. Economists have a love affair with it, finance enthusiasts like to watch it, politicians like to talk about it when it grows but not otherwise and people at large, just see it in news sometimes and then forget most of the times.

In this episode, we talk about what is GDP, who created this metric, the different measures of GDP and much more.

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We have talked about inflation in the last three episodes. We cannot finish talking about inflation without mentioning the role of interest rates. They are joint at the hip. 

We have seen RBI or for that matter most central banks in the world changing interest rates as the inflation level changes. Once these interest rates are changed, interest rates on our home loan or vehicle loan or working capital loan also changes. Why does that happen? What is the mechanism through which a change in interest rate by the RBI, transmits to our home loan or auto loan? We navigate you through this entire process in this episode. 

Sources and Further Information:

RBI's Functions and Working - Monetary Policy and Market Operations

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IndiaDataHub - Official Website, LinkedIn and Twitter

Ashutosh, Co-founder of IndiaDataHub - LinkedIn and Twitter

Swapnil, Host - LinkedIn and Twitter

Anisha, Co-host - LinkedIn

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Of what use is this high-frequency inflation or price data? 

The most common use case for the inflation data is of course to gauge the future direction of interest rates. But there is more to inflation or price data than just interest rates. Because prices for different sets of people move differently based on their consumption or production basket and prices of different categories of goods and services move differently, price data allows us a deeper insight into an economy. It allows us to gauge which parts of the economy might be facing a demand-supply mismatch, and which parts of the economy might be seeing better profitability or growth. It may also hint towards some structural bottlenecks in some sectors of the economy. 

This and more in this episode. Give it a listen...

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IndiaDataHub - Official Website, LinkedIn and Twitter

Ashutosh, Co-founder of IndiaDataHub - LinkedIn and Twitter

Swapnil, Host - LinkedIn and Twitter

Anisha, Co-host - LinkedIn

Feedback/queries/suggestions on [email protected]

We discuss how inflation, especially the Consumer Price Index (CPI) is calculated in India; how India's statistical body undertakes surveys in different villages and cities; how it compiles disparate data points and arrive at an average value of inflation within 2 weeks of month having ended; why we should not become cynical of the data; and so on and so forth... 

Interested in knowing some BTS (behind the scenes) moments of CPI? Tune in to this episode where we demystify inflation calculation for you.

Sources and Further References:

1. CPI - Changes in Revised Series, Base Year 2012, MOSPI

2. Report of the Group of Technical Advisory Committee on Statistics of Prices and Cost of Living, National Accounts Division

3. Manual on Consumer Price Index, Base Year 2010, MOSPI

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IndiaDataHub - Official Website, LinkedIn and Twitter

Ashutosh, Co-founder of IndiaDataHub - LinkedIn and Twitter

Swapnil, Host - LinkedIn and Twitter

Anisha, Co-host - LinkedIn

If someone asks you what is the inflation level in India right now, what would be your answer? There's no single right answer because it depends on what data you are looking at as well as the context. In this episode, we introduce one of the hottest topics in economics i.e. inflation, in a different way which will help you appreciate the number, its context and what it actually means, slightly better.

Transcripts of the episode will be available soon on IndiaDataHub's website.

Sources and Further References:

CPI Data, IndiaDataHub

WPI Data, IndiaDataHub

India GDP Deflator, World Bank

RBI's Inflation Expectations Survey, RBI 

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IndiaDataHub - Official Website, LinkedIn and Twitter

Ashutosh, Co-founder of IndiaDataHub - LinkedIn and Twitter

Swapnil, Host - LinkedIn and Twitter

Anisha, Co-host - LinkedIn

In this introductory episode, we set the context for this Podcast series. We talk about why we are doing this podcast and what you should expect in the subsequent episodes. While this podcast will be about economic data, we will (hopefully) not bore you with economic theory or concepts. Rather we are interested in the practicalities of data and concepts. We want to explain how the data comes into being, what are its limitations and practical relevance.