Narrow Your Choices

Refine By Topic

Refine By Series

Refine By Language

Refine By Date

—

Refine By IMF Taxonomy

Refine By JEL Taxonomy

Refine by LOC Taxonomy

Refine By THEMA Taxonomy

  • Print
  • Save

Asia and Pacific > India

You are looking at 1 - 4 of 4 items for :

  • Type: Journal Issue x
  • Classification Methods; Cluster Analysis; Principal Components; Factor Models x
Clear All Modify Search
Cover IMF Working Papers
Unveiling the Informal Economy: An Augmented Factor Model Approach
Jiaxiong Yao
This paper develops a new approach to estimating the degree of informality in an economy. It combines direct yet infrequent measures of the informal economy in micro data with an augmented factor model that links macro indicators of the informal economy to its causes. We show that the prevailing model used in the literature, the multiple indicators multiple causes model, is a special case of the augmented factor model and depicts an incomplete picture of the informal economy. Using the augmented factor model approach, we show that the dynamics of the informal economy is shaped by the strength of overall economic activity as well as the interplay between the formal and informal economies. Contrary to previous work that typically finds declining informality for most countries, we find that the degree of informality has increased for low-income countries for the past two decades.
Keywords:
Informality; augmented factor model; MIMIC model; survey data; indicators of the informal economy; WBES data; D. adding nighttime; nighttime Light; component analysis; Informal economy; Factor models; Monetary base; Electricity; Consumption; Global
Cover IMF Working Papers
A Sentiment-Enhanced Corruption Perception Index
Yongquan Cao
,
Ms. Yingjie Fan
,
Sandile Hlatshwayo
,
Monica Petrescu
, and
Zaijin Zhan
Direct measurement of corruption is difficult due to its hidden nature, and measuring the perceptions of corruption via survey-based methods is often used as an alternative. This paper constructs a new non-survey based perceptions index for 111 countries by applying sentiment analysis to Financial Times articles over 2005–18. This sentiment-enhanced corruption perception index (SECPI) captures not only the frequncy of corruption related articles, but also the articles’ sentiment towards corruption. This index, while correlated with existing corruption perception indexes, offers some distinct advantages, including heightened sensitivity to current events (e.g., corruption investigations and elections), availability at a higher frequency, and lower costs to update. The SECPI is negatively correlated with business environment and institutional quality. Increases in the perceived incidence or scope of corruption influences economic agents’ behaviors, and thus economic dynamics. We found that when the SECPI is at least one standard deviation above the mean, the growth per capita falls by 0.65 percentage point on average, with more pronounced impacts for emerging market and low income countries.
Keywords:
sentiment analysis method; perception index; statistic department; articles' sentiment; summary statistics; Corruption; Emerging and frontier financial markets; Business environment; Global
Cover IMF Working Papers
The Comovement in Commodity Prices: Sources and Implications
Mr. Ron Alquist
and
Mr. Olivier Coibion
We present a simple macroeconomic model with a continuum of primary commodities used in the production of the final good, such that the real prices of commodities have a factor structure. One factor captures the combined contribution of all aggregate shocks which have no direct effects on commodity markets other than through general equilibrium effects on output, while other factors represent direct commodity shocks. Thus, the factor structure provides a decomposition of underlying structural shocks. The theory also provides guidance on how empirical factors can be rotated to identify the structural factors. We apply factor analysis and the identification conditions implied by the model to a cross-section of real non-energy commodity prices. The theoretical restrictions implied by the model are consistent with the data and thus yield a structural interpretation of the common factors in commodity prices. The analysis suggests that commodity-related shocks have generally played a limited role in global business cycle fluctuations.
Keywords:
WP; commodity price; palm oil; Commodity prices; comovement; factor models; commodity shock; commodity-price movement; productivity shock; factor loading; forecast evaluation period; Agricultural commodities; Commodity price fluctuations; Oil; Global
Cover IMF Working Papers
New Indicators for Tracking Growth in Real Time
Mr. Troy D Matheson
We develop monthly indicators for tracking growth in 32 advanced and emerging-market economies. We test the historical performance of our indicators and find that they do a good job at describing the business cycle. In a recursive out-of-sample forecasting exercise, we find that the indicators generally produce good GDP growth forecasts relative to a range of time series models.
Keywords:
WP; real GDP