Cross-country heterogeneity and the trade-income relationship

This paper makes the following contributions to the literature on the impact of trade on income. First, we use heterogeneous panel cointegration techniques that are robust to omitted variables and endogenous regressors to estimate the effect of trade on income for 75 developed and developing countries, both for the sample, as a whole, and for each individual country. Second, we use a general-to-specific variable-selection approach to identify important determinants of the effect of trade on income. Our main findings are: (i) A one-percent increase in the trade share of GDP results, on average, in a statistically significant increase in income per worker of about 0.18 percent. This result is in contrast to previous studies, which tend to produce either unreasonably large or statistically insignificant estimates of the impact of trade on income. (ii) There are large cross-country differences in the income effect of trade, in particular, between developed and developing countries. For developed countries the income effect of trade is positive, whereas trade has, on average, a negative impact on income in developing countries. (iii) The cross-country heterogeneity in the impact of trade on income can be explained mainly by cross-country differences in primary export dependence, labor market regulation, and property rights protection. The level of property rights protection is positively related, while the levels of primary export dependence and labor market regulation are negatively related to the income effect of trade.Trade; Income; Cross-country heterogeneity; Panel cointegration; General-to-specific approach

A further examination of the export-led growth hypothesis

This paper challenges the common view that exports generally contribute more to GDP growth than a mere change in export volume, as the export-led growth hypothesis predicts. Applying heterogeneous panel cointegration techniques to a production function model with non-export GDP as the dependent variable, we find for a sample of 45 developing countries that: (i) exports have a positive short-run effect on non-export GDP in developing countries, (ii) the long-run effect of exports on non-export output, however, is negative on average, and (iii) there are large differences in the long-run effect of exports on non-export GDP across countries. Evidence from a simple regression analysis suggests that these cross-country differences in the long-run effect of exports on non-export GDP are significantly negatively related to cross-country differences in primary export dependence, business regulation, and labour regulation, whereas there is no statistically significant association between the growth effect of exports and the capacity of a country to absorb knowledge.Export-led growth; Developing countries; Panel cointegration

The Long-Run Relationship between Outward FDI and Total Factor Productivity: Evidence for Developing Countries

This paper examines the long-run relationship between outward foreign direct investment (FDI) and total factor productivity for a sample of 33 developing countries over the period 1980-2005. Using panel cointegration techniques, we find that: (i) outward FDI has, on average, a positive long-run effect on total factor productivity in developing countries, (ii) increased factor productivity is both consequence and a cause of increased outward FDI, and (iii) there are large differences in the long-run effects of outward FDI on total factor productivity across countries. Cross-sectional regressions indicate that these cross-country differences in the productivity effects of outward FDI are significantly negatively related to cross-country differences in labor market regulation, whereas there is no statistically significant association between the productivity effects of outward FDI and the level of human capital, the level of financial development, or the degree of trade openness in the home country. --outward FDI,total factor productivity,developing countries,panel cointegration

How does foreign direct investment really affect developing countries` growth?

This paper contributes to the literature on foreign direct investment (FDI) and economic growth in two main ways. First, we examine the effect of FDI on economic growth for 44 developing countries over the period 1970 to 2005 using heterogeneous panel cointegration techniques that are robust to omitted variables and endogenous regressors. In contrast to previous studies, we find that FDI has, on average, a negative effect on growth in developing countries, but that there are large cross-country differences in the growth effects of FDI. Second, we use a general-tospecific model selection approach to systematically search for country-specific factors explaining the cross-country differences in the growth effects of FDI. Contrary to previous results, we find that the cross-country differences in per capita income, human capital, openness, and financial market development cannot explain the cross-country differences in the growth effects of FDI. Instead, the growth effects of FDI are positively related to freedom from government intervention and freedom from business regulation, and negatively related to FDI volatility and natural resource dependence.FDI; Growth; Developing countries; Panel cointegration; General-to-specific approach

Export-led growth hypothesis: Evidence for Chile

This study examines the export-led growth hypothesis using annual time series data from Chile. It addresses the problem of specification bias under which previous studies have suffered and focuses on the impact of manufactured and primary exports on the economic growth. In order to investigate if and how manufactured and mining exports affect economic growth via increases in productivity, the study uses the Toda and Yamamoto (1995) procedure for testing for Granger non-causality in Vector Autoregressive models that involve variables that are integrated of an arbitrary order and that are possibly cointegrated. The estimation results support the export-led growth hypothesis for Chile and at the same time point out to the differentiated impact of manufactured and primary exports on the economic growth.Export-led growth, Chile, cointegration

Poverty, Government Transfers, and the Business Cycle: Evidence for the United States

We examine the impact of government transfers and the business cycle on poverty in the United States in the context of a poverty function that includes the official poverty rate, three types of government transfers, real wages, the number of female-headed families, and a business cycle variable. Using cointegration techniques, we find ─ contrary to most previous studies ─ that government transfer programs play an important poverty-reducing role. In addition, the findings suggest that the business cycle is one of the key variables in explaining poverty in the US. Furthermore, the empirical results show that the size and composition of public transfer payments change over the business cycle. We also find poverty to have a significant effect on government transfers, the business cycle, and the structure of households.

Manufacturing exports, mining exports and growth: cointegration and causality analysis for Chile (1960-2001)

This study examines the export-led growth hypothesis using annual time series data from Chile in a production function framework. It addresses the problem of specification bias under which previous studies have suffered and focuses on the impact of manufactured and mining exports on productivity growth. In order to investigate if and how manufactured and mining exports affect economic growth via increases in productivity, the study uses Johansen cointegration technique. The estimation results can be interpreted as evidence of productivity-enhancing effects of manufactured exports and of productivity-limiting effects of mining exports.Export-led growth, Chile, cointegration

The Long-Run Effect of Foreign Aid on Domestic Output

This paper makes two main contributions. First, we examine the long-run effect of foreign aid on domestic output for 59 developing countries using heterogeneous panel cointegration techniques to control for omitted variable and endogeneity bias and to detect possible cross-country differences in the output effect of aid. The main result is that aid has, on average, a negative long-run effect on output, but there are large differences across countries (in about a third of cases the effect is positive). Second, we use a general-to-specific variable selection approach to systematically search for country-specific factors explaining the cross-country differences in the estimated long-run effect of aid. In contrast to previous studies, we find that aid effectiveness does not depend primarily on factors such as the quality of economic policy, the share of a country's area that is in the tropics, the level of democracy or political stability. The results suggest that the cross-country heterogeneity in the output effect of aid can be explained mainly by cross-country differences in law and order, religious tensions and government size. --Foreign aid,Domestic output,Heterogeneous panel cointegration techniques,General-to-specific approach

Manufacturing Exports, Mining Exports and Growth: Cointegration and Causality Analysis for Chile (1960 - 2001)

This study examines the export-led growth hypothesis using annual time series data from Chile in a production function framework. It addresses the problem of specification bias under which previous studies have suffered and focuses on the impact of manufactured and mining exports on productivity growth. In order to investigate if and how manufactured and mining exports affect economic growth via increases in productivity, the study uses Johansen cointegration technique. The estimation results can be interpreted as evidence of productivity-enhancing effects of manufactured exports and of productivity-limiting effects of mining exports.Export-led growth; Chile; Cointegration

Outward FDI and Domestic Investment

This paper examines the impact of outward foreign direct investment (OFDI) on domestic investment by applying co-integration techniques to macroeconomic time series data for the United Sates and Germany. We show that the two countries differ: In the case of the US, OFDI has positive long-run effects on domestic investment while in the case of Germany the reverse effect is reported.Foreign Direct Investment, Investment, Open Economy Macroeconomics