Stochastic Growth Models and Their Econometric Implications

This article considers the consequences of explicitly allowing for stochastic technological progress and stochastic labor input in the discrete-time Solow-Swan and AK growth models. It shows that the capital-output ratio, but not output per capita, is ergodic irrespective of whether there is a unit root in technology, and thus is the more appropriate measure to use in the cross-sectional analysis of the growth process. Furthermore, the article derives the cross-sectional and time-series implications of the stochastic Solow-Swan model and contrasts these to those of its deterministic counterpart. Among these implications are that the mean of the capital-output ratio depends in a precise way not only on the saving rate and the growth rate of labor input, but also on the variance and higher-order cumulants of the capital-output ratio. Using the Summers-Heston data for seventy-two countries from 1960 to 1992, strong support is found for the predictions of the stochastic Solow-Swan model as compared to those of its deterministic counterpart (as well as those of the AK model), including a significant negative cross-sectional relationship between the mean and the variance of the capital-output ratio.     

How Do Investment,Fundamentals, and Stock Prices Relate Around the World?

We assemble a novel data set of industry panel data for the corporate sector and the entire economy across a number of countries to explore the connection between investment and stock prices. The link is present in all samples, in both the aggregate and industry dimensions, and increases with stock market development. Fundamentals are less related to prices in underdeveloped markets but are similarly related to investment everywhere. Thus, the active informant interpretation does not seem to be the main force behind the stock market–investment relationship. In addition, industries that are more dependent on equity finance, and where investors are strongest, exhibit higher sensitivity to prices, especially in developed markets.     

On the relationship between financial inclusion and bank performance

This study examines the relationship between various financial inclusion measures and banks' performance across multiple countries with varying institutional, regulatory and income levels. To construct an aggregate bank performance index, we employ principal component analysis, which utilises a set of critical indicators summarised by the CAMEL rating system, including banks' solvency, asset quality, efficiency, profitability and liquidity. Our primary findings indicate that different measures of financial inclusion exhibit varying associations with bank performance. Specifically, there is a trade-off between bank performance and credit deepening, especially in high-income nations. Conversely, in low-income nations, higher financial inclusion, measured by deposits to GDP, number of deposits, and number of borrowers, does not affect bank performance adversely. Banks in low-income nations could achieve significant gains by improving financial access and enhancing regulatory environments.     

A Common Base Answer to the Question “Which Country Is Most Redistributive?”*

We believe that what most authors have in mind when referring to the “most redistributive country” is a tax and transfer schedule that is most redistributive across all pre-tax and transfer income distributions. In order to measure each country's tax and transfer redistribution according to the same baseline, we suggest using the transplant-and-compare method of Dardanoni and Lambert (2002, Journal of Public Economics 86, 99–122) to establish a common base. The redistributive effects of countries’ tax and transfer schedules are illustrated by employing microdata on eight countries from the Luxembourg Income Study (LIS). Of these eight countries, Finland is found to be the most redistributive country, according to the common base method.     

Explaining differences in the productivity of investment across countries in the context of ‘new growth theory’

The purpose of this paper is to explain differences in the productivity of investment across 84 rich and poor countries over the period 1980–2011, and to test the orthodox neoclassical assumption of diminishing returns to capital. The productivity of investment is measured as the ratio of the long-run growth of GDP to a country’s gross investment ratio. Twenty potential determinants are considered using a general-to-specific model selection algorithm. Education, government consumption, geography, export growth, openness, political rights and macroeconomic instability are the most important variables. The data also suggest constant returns to capital, so investment and the determinants of productivity of investment differences matter for long-run growth.     

Investigating the stationarity of insurance premiums: international evidence

This article explores whether there is support for the stationarity hypotheses of life and non-life insurance premiums during the period 1979–2007 for 40 heterogeneous countries. The stationarity of insurance premiums affects insurance companies’ prediction on their future inflow of premium income, which affects the liquidity of insurance companies and their investment plans and thus is relevant to the insurers’ operation. This article employs the advanced nonlinear panel unit-root test with a sequential panel selection method to classify the entire panel into two groups: stationary countries and non-stationary countries. We apply Monte Carlo simulations to derive empirical distributions of the test, which allows us to correct for the finite-sample bias and to consider the cross-country effects. We find relatively stationary life insurance premiums in countries from the following groups: high-income, Europe, and common law origin; relatively stationary non-life insurance premiums exist in the following groups: low-income, Middle East and Africa, and common law origin. Evidence herein shows that different classifications, including income levels, geographic regions, regionally or economically integrated blocs, and legal system, affect the stationarity of life and non-life insurance premiums.     

Real and perceived losses from unemployment: a cross-country study

This article compares the Unemployment Rate (UR) as a measure of inefficiency with several other potential measures across 18 Organization for Economic Co-operation and Development (OECD) countries. Results show that the UR is not a very good measure of relative inefficiency between countries, it overestimates the number of individuals who would get jobs if the market is clear, the Dead Weight Losses (DWLs) of UR are remarkably low even in high unemployment countries and the aggregate perceived monetary losses by the unemployed as a proportion of Gross Domestic Product (GDP) are also uniformly low, although inframarginal individuals in some countries may perceive their losses to be high.     

Does microfinance affect income inequality?

This study addresses the question whether participation of the poor in microfinance contributes to reducing a country’s level of income inequality. Using data from 70 developing countries, we show that higher levels of microfinance participation are indeed associated with a reduction of the income gap between rich and poor people. We also show, however, that the effects of microfinance on reducing income inequality are relatively small. The results of this study add to the discussion on the impact of microfinance on poverty by showing that, although access to microfinance does seem to improve the relative income position of the poor, this improvement is modest, which is probably because the use of microfinance is generally small as compared to the size of the economy of the countries in our sample. Microfinance should, therefore, not be seen as a panacea for bringing down income inequality in a significant way.