ADVERTISEMENT

If you are seeing this message, you may be experiencing temporary network problems. Please wait a few minutes and refresh the page. If the problem persists, you may wish to report it to your local Network Manager.

It is also possible that your web browser is not configured or not able to display style sheets. In this case, although the visual presentation will be degraded, the site should continue to be functional. We recommend using the latest version of Microsoft or Mozilla web browser to help minimise these problems.

Wiley InterScience

< Previous Abstract

Save Article to My Profile      Download Citation      Request Permissions

Abstract |  References  |  Full Text: HTML, PDF (Size: 650K)  | Related Articles | Citation Tracking

Financial Deepening, Inequality, and Growth: A Model-Based Quantitative Evaluation1
ROBERT M. TOWNSEND a KENICHI UEDA b
  a University of Chicago and Federal Reserve Bank of Chicago
  b International Monetary Fund
Copyright 2006 The Review of Economic Studies Limited

ABSTRACT

We propose a coherent unified approach to the study of the linkages among economic growth, financial structure, and inequality, bringing together disparate theoretical and empirical literature. That is, we show how to conduct model-based quantitative research on transitional paths. With analytical and numerical methods, we calibrate and make tractable a prototype canonical model and take it to an application, namely, Thailand 1976–1996, an emerging market economy in a phase of economic expansion with uneven financial deepening and increasing inequality. We look at the expected path generated by the model and conduct robustness experiments. Because the actual path of the Thai economy is imagined here to be just one realization of many possible histories of the model economy, we construct a covariance-normalized squared error metric of closeness and find the best-fit simulation. We also construct a confidence region from a set of simulations and formally test the model. We broadly replicate the actual data and identify anomalies.


First version received August 2001; final version accepted April 2005 (Eds.)

DIGITAL OBJECT IDENTIFIER (DOI)
10.1111/j.1467-937X.2006.00376.x About DOI

Related Articles

  • Find other articles like this in Wiley InterScience
  • Find articles in Wiley InterScience written by any of the authors

Wiley InterScience is a member of CrossRef.

Cross Ref Member