Per capita output convergence across Asian countries: Evidence from covariate unit root test with an endogenous structural break

This study investigates long-run convergence of per capita output across ten Asian countries over 1960 to 2014 by taking advantage of possible economic growth determinants, which may be responsible for setting Asian countries on a long-term steady-state growth path. We simultaneously examine the presence of output convergence in the region, as well as the statistical significance of these economic growth determinants, by using a unit root test with a stationary covariate. In addition, the study allows for the presence of endogenous structural changes in the time series under investigation in order to capture sharp drops in per capita outputs, which may be brought about by influential economic events, such as serious economic slumps in domestic economies or the global financial crises in 1997–98 and 2008–09. The limiting distribution of the covariate unit root test that permits structural breaks is also derived. The results show significant evidence to support the convergence hypothesis. In particular, asymptotically absolute convergence holds among Hong Kong, Korea, Singapore, and Taiwan. In addition, Thailand shows a convergence tendency in terms of asymptotically relative convergence toward Singapore. Malaysia, Indonesia, and India also turn out to converge toward Hong Kong in an asymptotically relative sense. Certain potential growth determinants, such as the trade/GDP ratio, inflation rate, government expenditure/GDP ratio, and quality of human capital, may help these countries achieve and maintain the long-run convergence process toward the reference countries in the region.     

The long-term consequences of external debt: Revisiting the evidence and inspecting the mechanism using panel VARs

We estimate a panel vector autoregression model to examine the relationship between external debt and economic growth. We use a large dataset based on 123 countries, classified according to income levels over the period 1990–2015. While total external debt appears to have a negative effect on growth rate overall, it is positively associated with income growth in the lower- and upper-middle income countries. Further disaggregating external debt into its components reveals that public external debt negatively affects economic growth across all income categories of countries, whereas the impact of private external debt is not statistically significant. We do not detect a common threshold level in the relationship between public debt and economic growth across countries. Savings and investment are the primary channels through which external debt impacts economic growth. These results are robust to various model specifications, additional controls, and identifying restrictions.     

Do natural disasters increase the likelihood that a government is replaced?

We examine the impact of natural disasters on the likelihood that a government is removed from office using panel data for 156 countries over the period 1975–2010. Employing a conditional logit model, we find that the occurrence of natural disasters, the number of natural disasters and disaster-related losses increase the chances that a government will be replaced. The magnitudes of these effects differ widely across natural disaster types, but are robust to the inclusion of economic and political variables and to model specifications. Overall, these findings are consistent across our sample of OECD and non-OECD countries.     

The impact of knowledge accumulation and geographical spillovers on productivity and efficiency: The case of U. S. shipbuilding during WWII

This paper examines the productivity and efficiency experience of World War II Liberty ship builders using two complementary paradigms which can be viewed as alternative specifications of the endogenous growth model introduced by Romer (1986) and the stochastic frontier production model introduced by Aigner, Lovell, and Schmidt (1977). We develop modifications in the endogenous growth model to allow for learning as well as spatial spillovers by relating productivity growth to cumulative productive experience (the ‘learning curve’) and to worker experience as it is transferred and utilized across different geographical regions. We also consider the relative impact of both proximal and distant simultaneous production on productivity growth. We then utilize a framework in which the efficiency component of productivity growth is explicitly considered using a stochastic frontier model wherein contributions to productivity growth introduced in the endogenous growth model are formally modeled as determinants of efficiency change.     

How transition paths differ: Enterprise performance in Russia and China

We use enterprise survey data to analyse and contrast the determinants of enterprise performance in China and Russia. We find that in China, enterprise growth and efficiency is associated with rapid increases in factor inputs, and with ownership to a lesser extent, but not greatly correlated with industry-specific or institutional factors. However, in Russia, enterprise growth is not associated with improvements in factor quantity (except for labor) or quality. The main determinants of company performance are instead demand and institutional factors at a regional level. The findings are robust across a variety of specifications.     

The geography of output volatility

This paper examines the structural determinants of output volatility in developing countries, and especially the roles of geography and institutions. We investigate the volatility effects of market access, climate variability, the geographic predisposition to trade, and various measures of institutional quality. We find an especially important role for market access: remote countries are more likely to have undiversified exports and to experience greater volatility in output growth. Our results are based on Bayesian methods that allow us to address formally the problem of model uncertainty and to examine robustness across a wide range of specifications.     

The geography of output volatility

This paper examines the structural determinants of output volatility in developing countries, and especially the roles of geography and institutions. We investigate the volatility effects of market access, climate variability, the geographic predisposition to trade, and various measures of institutional quality. We find an especially important role for market access: remote countries are more likely to have undiversified exports and to experience greater volatility in output growth. Our results are based on Bayesian methods that allow us to address formally the problem of model uncertainty and to examine robustness across a wide range of specifications.     

Duration of sudden stop spells: A hazard model approach

Using a hazard‐based duration model, we analyze the determinants of the duration of a period of sudden stop, which is defined as a drop in capital inflow by two standard deviations, for at least two consecutive quarters. The hazard model estimates the conditional probability that the country exits the sudden stop today given that it experienced one until the end of last period. We find that a higher ratio of foreign exchange reserves to short‐term external debt shortens the duration of sudden stops. We also find that a higher global economic growth rate tends to shorten sudden stop spells. Our results are robust to various alternative specifications.     

What drags and drives mobility? Explaining Canada's aggregate migration patterns

Understanding the factors that determine the migration of labour between regions is crucial for assessing the response of the economy to macroeconomic shocks and identifying policies that will encourage an efficient reallocation of labour. Using a gravity model, Poisson pseudo‐maximum likelihood specifications and Census data for 69 economic regions, this article examines the determinants of aggregate migration within Canada from 1991 to 2006. Our results suggest that migration tends to increase with differences in labour market performance. We also find that provincial borders have the strongest impact on migration involving low‐populated regions and that distance is most important across provincial borders.     

THE RELATIONSHIP BETWEEN ECONOMIC FREEDOM AND ECONOMIC DYNAMISM

We analyze the consequences of economic freedom on economic dynamism across U.S. states and over time. Using data from the Economic Freedom of North America index, we show that states with greater economic freedom have higher rates of gross and net job creation and establishment entry. The results are robust to the inclusion of many different control variables and alternative specifications, suggesting a connection between freedom and dynamism. This evidence supports theories in which government policies may impede business dynamism. (JEL 043, P16, R5)     

技术进步水平与城市学习

经济增长理论认为技术进步是长期经济增长的动力。针对我国地级城市经济增长出现的巨大差异,从全要素生产率的视角,采用Hall和Jone(1999)基于水平增长的人均产出分解,对我国188个地级城市2000年的全要素生产率进行计算,发现全要素生产率较好地解释了我国地级城市人均产出的差异,相关系数达到0.839;然后从我国城市的技术进步主要来自于城市的模仿与学习机会的角度,分析了地级城市全要素生产率差异的原因,提出通过加大吸引外商直接投资力度,发挥城市集聚规模效益,建设学习型城市,促进城市经济的持续增长的建议。     

Thousands of BEERs: Take your pick

This paper explores the robustness of behavioral equilibrium exchange rate (BEER) models. We highlight the importance of model uncertainty, and employ real exchange rates computed from price‐level data to explore robustness to the inclusion of country fixed effects. The estimated coefficients—and therefore also the implied equilibrium values—are sensitive to the combination of variables included in the model, and to the inclusion of fixed effects. We identify several variables that exhibit a robust link with real exchange rates across specifications. Our findings can help policymakers in understanding the uncertainty associated with estimates of equilibrium exchange rates.     

Does Regional Financial Development Matter for Growth? Evidence from Indian States

The paper investigates finance–growth relationship across 26 Indian states over the period 1981–2012 in a panel setting. We use four indicators of financial development: credit-GSDP ratio, deposit-GSDP ratio, credit-deposit ratio and branch density and apply panel generalized method of moments (GMM) techniques. We observe positive and significant effect of financial development on economic growth and our findings are robust across alternate indicators of financial development and model specifications. Our findings highlight pivotal role played by financial intermediaries in fostering savings mobilization and financing investment activities across states through channels of deposit mobilization, expansion of credit and greater branch expansion in unbanked locations and consequent reduction of transactions costs. These findings are consistent with observations that much of India’s superior growth performance is attributed to high level of domestic savings. The paper also takes care of issues of bias and precision of various GMM estimators arising out of small sample typically prevalent in empirical growth models like ours.     

Investment rates and the aggregate production function

In this paper we consider a simple version of the neoclassical growth model, and carry out an empirical analysis of the main determinants of aggregate investment across countries. The neoclassical growth model predicts that aggregate investment may be influenced by income growth, the capital income share, the relative price of capital, taxes, and other market distortions. We check these investment patterns for both OECD and non-OECD countries. We also decompose investment data into equipment and structures, and explore major factors affecting their relative prices. These empirical exercises shed light into the shape of the neoclassical production function.     

Military Spending, Government Disarray, and Economic Growth: A Cross-Country Empirical Analysis

Recent years have seen a spate of empirical studies that have used cross-country regressions to examine a variety of possible determinants of long-term economic growth. The present study considers an additional, largely overlooked, explanatory variable: military spending. Consistent with Thompson’s (1974) hypothesis that enhanced national defense fosters economic growth by increasing the security of property rights, the military expenditures share of GDP is found to have a statistically significant positive impact on the growth rate of per capita GDP. This result is obtained for two alternative model specifications, a Barro-regression and a LISREL variant of that regression. The LISREL variant is motivated by Sala-i-Martin’s (1994) claim that the impact of government economic policies jointly, rather than extant government policies individually and separately, is "the phenomenon that really matters" for long-term economic growth.     

Did the German Minimum Wage Reform Influence (Un)employment Growth in 2015? Evidence from Regional Data

Using the variation across space, age and sex and the variation across space and sectors, we analyse the relationship between the minimum wage and (un)employment growth in 2015. We use difference‐in‐differences specifications and instrument the bite of the minimum wage by the lagged bite. The results provide stable evidence that a higher minimum wage bite is related to a higher growth rate of regular employment. We also find stable evidence that a higher minimum wage bite is related to a lower growth rate of marginal employment. These results are consistent with a transformation of marginal to regular jobs. The relationship to total employment is slightly positive in our preferred specification but insignificant or negative in others. For unemployment, we find a positive relationship between the bite of the minimum wage and unemployment growth in our preferred specification but insignificant or negative results in others.     

Inter-provincial migration and inequality during Vietnam's transition

Vietnam's economic boom during the transition to a market economy has centered on very rapid growth in some sectors and provinces, yet poverty has diminished across the entire country. With capital investments highly concentrated by province and sector, geographic labor mobility may be critical in spreading the gains from growth. Conversely, rising income inequality may be attributable in part to impediments to migration. We first use census data to investigate migration patterns and determinants. We then examine the role of migration as an influence on income ratios between pairs of provinces. The former analysis robustly confirms economic motives for migration but also suggests the existence of poverty-related labor immobility at the provincial level. Examination of income ratios between pairs of provinces reveals that the impact of migration on inequality can be either negative or positive. A robust inequality-reducing impact of migration is found for migration flows into provinces where most of Vietnam's trade-oriented industrial investments are located.     

On the historical roots of women's empowerment across Italian provinces: religion or family culture?

Why do women's economic decision-making and political empowerment vary so widely? What are the main potential determinants of such variations? Over a cross-section of Italian provincial data, we analyze the association between two specific facets of women's empowerment, the percentage of women holding office in local political bodies and the percentage of women in high-ranking jobs, and the religious and cultural conditions which facilitate or hinder women's inclusion. Our hypothesis is that culture, in particular those values embodied by religious culture, plays a central role in shaping norms and beliefs about the role and involvement of women in society. Moreover we suggest that these cultural norms are inherited from the past and therefore have a high degree of inertia. Both OLS and IV results indicate that our measures of women's empowerment are strongly associated with religious culture, as proxied by religious marriages. These results are robust and consistent across specifications.     

Modelling industrial new orders

This article models industrial new orders across the European Union (EU) countries for various breakdowns. A common modelling framework exploits soft (business opinion surveys) as well as hard data (industrial turnover). The estimates show for about 200 cases that the model determinants significantly help in explaining new orders' monthly growth rates. An alternative estimation method, different model specifications and out-of-sample and real-time forecasting all show that the model results are robust. We present real-time outcomes of a European Central Bank (ECB) indicator on industrial new orders at an aggregated euro area level. This indicator is largely based on national new orders data and on estimates yielded by the model for those countries that no longer report new orders at the national level. Finally, we demonstrate the leading content of the ECB indicator on euro area new orders for industrial production.     

Remittances,Dutch Disease,and Manufacturing Growth in Developing Economies

Remittances have grown tremendously in magnitude and economic importance in the past four decades, providing economies with additional disposable incomes and even serving as buffers against economic downturns. It is thus but fitting to ask how remittances have impacted on growth, particularly on manufacturing growth. This note presents a simple model linking remittances and manufacturing growth via a ‘Dutch Disease’ channel. Using Blundell and Bond's (1998) system general method of moments on a panel dataset of 56 developing economies from 1992 to 2016, we verify that remittances adversely affect manufacturing growth in economies that experience high real appreciation rates. This result is robust to alternate specifications, such as the inclusion of financial development indicators, the expansion of the sample to include high‐income economies, and the use of different sample periods.