Health and political regimes: Evidence from quantile regression

This study investigates how political regimes affect health conditions such as infant and child mortality rates and life expectancy using data from 180 countries observed between 1960 and 2013. Panel quantile regression is used to examine the effects at different intervals throughout the distribution of health outcomes. The estimation results indicate that democracy has significant positive effects on health outcomes and that its impacts are greater when health outcomes are worse. These results are robust to different democracy and health indices. The effects of different types of democracies and dictatorships are also considered, that is parliamentary, mixed (semi-presidential) and presidential democracies, and civilian, military and royal dictatorships. The parliamentary form of democracy has the largest positive impact on health outcomes at the worst quantile of health outcomes, although the difference in the impacts of the three types of democracies is not necessarily large. Furthermore, all types of dictatorships have a negative impact on health outcomes, with military dictatorship having the worst outcome when health outcomes are worse. Finally, the effects of democratization on health outcomes are significantly positive when the health outcomes are worse.     

Panel Asymptotics and Statistical Decision Theory

This paper develops some applications of asymptotic statistical decision theory in econometrics, focusing on settings where the data are organized into groups or cells with heterogeneous parameters. Even if the groups are of different sizes, local asymptotic normality holds under suitable regularity conditions, and this can greatly simplify analysis of different types of econometric problems. We apply these results to the analysis of treatment assignment rules, and to estimators of cell‐specific parameters that employ shrinkage towards parametric models.     

CROSS‐BORDER M&As AND FIRM VALUE: A COMPARISON OF CHINA‐ AND US‐JAPAN M&As

We examine the effect of M&As conducted by U.S. and Chinese bidders (US‐Japan and China‐Japan M&As) on the stock prices of Japanese targets. We find that both types of M&As tend to increase the stock prices of the Japanese targets and that market reactions are significantly greater for US‐Japan M&As than for China‐Japan M&As. Additionally, capital participation produces greater market reactions to China‐Japan M&As than other structures, while acquisition produces this effect in US‐Japan M&As. Our results are consistent with previous research indicating that market reactions increase for bidders operating in a developed country with high‐quality institutions and corporate governance. (JEL G32, G34)     

Empirical study on the determinants of CO2 emissions: evidence from OECD countries

This article empirically investigates the Environmental Kuznets Curve (EKC) for CO₂ emissions in the cases of 11 OECD countries by taking into account the role of nuclear energy in electricity production. The autoregressive distributed lag approach to cointegration is employed as the estimation method. Our results indicate that energy consumption has a positive impact on CO₂ emissions in most countries in the study. However, the impact of trade is not statistically significant. The results provide evidence for the role of nuclear power in reducing CO₂ emissions only in some countries. Additionally, although the estimated long-run coefficients of income and its square satisfy the EKC hypothesis in Finland, Japan, Korea and Spain, only Finland's EKC turning point is inside the sample period of the study, providing poor evidence in support of the EKC hypothesis.     

Error correction exchange rate modeling: Evidence for Mexico

A set of error correction models are proposed for the nominal exchange rate between the Mexican peso and the United States dollar. The basic theoretical frameworks utilize balance of payments and monetary constructs. Empirical estimation results are fairly weak for both specifications irrespective of the interest rate variable selected. Although dynamic simulation properties of the equations are acceptable, in no case do they generate levels of accuracy that exceed those associated with a random walk. Partial funding support for this research was provided by El Paso Electric Company, the Fulbright Council for International Exchange of Scholars, the Center for Inter American and Border Studies at the University of Texas at El Paso, and the Federal Reserve Bank of Dallas. Econometric research assistance was provided by David Torres and Roberto Tinajero. Helpful comments were provided by two anonymous referees, Joachim Zietz, Luis Berrnardo Torres, and participants at the 2001 American Statistical Association meetings in Atlanta.     

Relative Performance of U.S. and Japanese Electricity Distribution: An Application of Stochastic Frontier Analysis

Journal of Productivity Analysis -     

Relative Performance of U.S. and Japanese Electricity Distribution: An Application of Stochastic Frontier Analysis

This paper estimates and compares the technical efficiency of the U.S. and Japanese electric utilities during the period 1982–1997 using a stochastic frontier analysis. Our focus is on electricity distribution services of major investor-owned utilities. We employ translog input distance functions to represent the technology of electricity distribution. Empirical results show that after controlling for environmental variables, on average, the Japanese electric utilities are more efficient. It is shown, however, that some U.S. utilities are as efficient as the most efficient Japanese utilities, indicating that the estimated frontier is not necessarily dominated by Japanese utilities.An erratum to this article can be found at     

Recent Political Change in Myanmar and Its Impact on her Economic Growth

The present study estimates the causal effect of a process of political change, namely, a recent constitutional referendum, on economic growth in Myanmar. To analyze the impact of this process, this study compares the trajectories of actual and counterfactual GDP per capita after the referendum using the synthetic control method. We calculate the counterfactual GDP per capita using country‐level panel data from 2002 to 2013, with Myanmar as the treated country and a set of developing countries in East and South Asia, the Pacific and sub‐Saharan Africa as the control group. The results of the synthetic analysis suggest that the recent process of political change in Myanmar had a positive and significant effect on GDP per capita but not on per capita foreign direct investment or trade.     

Corruption and natural resource rents: evidence from quantile regression

This study examines the impacts of oil rents on corruption for 157 countries. While existing studies have primarily focused on average effects, we employ quantile regression to estimate the effects of natural resource abundance for different corruption levels. We consider the effects of natural resource rents, mainly oil rents and then compare them with those of total and non-oil natural resources rents. The estimation results show that, generally, more oil rents increase corruption. Specifically, impacts are larger in countries with an intermediate level of corruption and smaller in highly corrupt countries. While total resource rents increase corruption significantly, non-oil resource rents do not. This may be due to non-oil resource rent management (mainly inland) being more subject to public scrutiny. Non-oil natural resources are concentrated in the less-developed sub-Saharan African countries, where corruption is prevalent; therefore, the impacts of natural resource rents are unremarkable.     

Strategic Voting for Noncooperative Environmental Policies in Open Economies

In this paper, we construct a political-economy model of strategic environmental policymaking with different degrees of product differentiation and different market structures, and examine how strategic voting decisions are affected by the choice of environmental policy instruments (tax or standard). We show that in a Cournot market structure, voters elect tax-setting policymakers who are more green than themselves when product differentiation and/or environmental externalities are more prominent. In a Bertrand market structure, they elect more green tax-setting policymakers than themselves. On the other hand, they elect standard-setting policymakers who are less green than themselves. The results confirm the advantage of the overall use of emission tax over that of emission standard regarding the welfare effect of strategic voting.