The Data Will Make You Free

I am constantly amazed that people write stuff that is easily falsifiable, in an era of easily accessible databases. Or ask me for the “raw” data when it’s freely available. Here is a list of such data.

I am constantly amazed that people write stuff that is easily falsifiable, in an era of easily accessible databases (I am tempted to go into an old fogey rant about “in my day I had to go to the library and hand copy down numbers from the hard copy volumes of International Financial Statistics”…but I will resist). Or ask me for the “raw” data when it’s freely available.

Just to remind the frequent commenters on this blog, there exist freely available data here:

I have readers on Econbrowser pestering me for “raw” data used. Usually I cite FRED or BLS via FRED, or from the above data sources. In certain cases, I have written papers using specialized data sources. Below are links to those data sources.

  • “A Faith-based Initiative: Do We Really Know that a Flexible Exchange Rate Regime Facilitates Current Account Adjustment,” Review of Economics and Statistics (March 2013) (with Shang-Jin Wei[PDF]. Data: Dataverse
  • “A New Measure of Financial Openness,” Journal of Comparative Policy Analysis 10(3) (September 2008): 307-320 (with Hiro Ito) [PDF].  Chinn-Ito index used in World Bank, World Development Report 2009Data:  Chinn-Ito capital account index webpage
  • Financial Spillovers and Macroprudential Policies,” mimeo (with Joshua Aizenman and Hiro Ito). Under revision. [PDF] ; “Balance Sheet Effects on Monetary and Financial Spillovers: The East Asian Crisis Plus 20,” paper presented at JIMF-University of Tokyo Conference “The Pacific Rim and the Global Economy: Future Financial and Macro Challenges” July 25 and 26, 2016.(with Joshua Aizenman and Hiro Ito). [PDF] Data: Aizenman-Chinn-Ito Trilemma indices webpage
  • “The Predictive Power of the Yield Curve across Countries and Time,” International Finance (March 2015) [PDF]  Cited in “Free Exchange: Bond yields reliably predict recessions. Why?”Economist (July 26, 2018) Data (Stata file): Chinn-Kucko data
  • “Post-recession US employment through the lens of a non-linear Okun’s law,” Journal of Macroeconomics 42 (December 2014): 118–129, with Laurent Ferrara and Valérie Mignon. [PDF]  Data:  data [XLS] RATS program
  • “The Predictive Content of Commodity Futures,” Journal of Futures Markets, July 2014 (with Olivier Coibion). [PDF] Data: Data [xlsx]
  • “Monetary Policy and Long-Horizon Uncovered Interest Rate Parity,” IMF Staff Papers 51(3) (2004) (with Guy Meredith) [PDF] Data:  [Excel file]; Notes [PDF].

And from teaching:

Disclosure:

None.

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