This paper analyzes the relationship between trade orientation, trade distortions, and growth in developing countries using a cross-country dataset. It develops a simple endogenous growth model emphasizing technological absorption in small developing countries. The model suggests that liberalizing trade and increasing openness lead to faster growth. Using nine trade orientation indicators, the paper finds that more open economies tend to grow faster than those with trade distortions. Results are robust to different estimation methods, error correction, and outlier removal. The paper argues that future research should focus on the microeconomics of technological innovation and growth. The paper discusses the debate on trade policy and growth, noting that while some economists argue that trade liberalization promotes growth, others are skeptical. The debate has been revitalized by new growth models incorporating economies of scale, human capital, and endogenous technological progress. Two factors explain the unresolved debate: weak theoretical foundations for the proposition that freer trade enhances growth and limitations in empirical work, particularly in measuring trade orientation. The paper presents an analytical framework for analyzing trade orientation and growth, focusing on a small economy's ability to absorb technological innovations. It derives a model of endogenous technological progress, showing that more open economies are more efficient in absorbing innovations. The paper then uses Leamer's trade intervention indexes to study the relationship between trade policy and growth. These indexes are objective, continuous, and comparable across countries. The paper also investigates the role of human capital and political instability on growth. The paper investigates the robustness of the results using alternative trade distortion indicators. It finds strong evidence supporting the hypothesis that more open countries tend to grow faster. The findings are robust to the choice of trade policy indicator, estimation method, sample selection, measurement error correction, equation specification, and time period used. The paper presents empirical results showing that trade orientation and growth are positively related. It uses a regression model to analyze the relationship between growth and its determinants, including investment, knowledge gap, and trade intervention. The results show that higher investment and knowledge gaps are associated with higher growth, while higher trade intervention is associated with lower growth. The paper also investigates the role of human capital and political instability on growth. The paper concludes that trade policy plays an important role in explaining cross-country growth performance. Countries with more open and less distorted trade policies tend to grow faster. The results are robust to different estimation methods, error correction, and outlier removal. The paper argues that future research should focus on the microeconomics of technological innovation and growth.This paper analyzes the relationship between trade orientation, trade distortions, and growth in developing countries using a cross-country dataset. It develops a simple endogenous growth model emphasizing technological absorption in small developing countries. The model suggests that liberalizing trade and increasing openness lead to faster growth. Using nine trade orientation indicators, the paper finds that more open economies tend to grow faster than those with trade distortions. Results are robust to different estimation methods, error correction, and outlier removal. The paper argues that future research should focus on the microeconomics of technological innovation and growth. The paper discusses the debate on trade policy and growth, noting that while some economists argue that trade liberalization promotes growth, others are skeptical. The debate has been revitalized by new growth models incorporating economies of scale, human capital, and endogenous technological progress. Two factors explain the unresolved debate: weak theoretical foundations for the proposition that freer trade enhances growth and limitations in empirical work, particularly in measuring trade orientation. The paper presents an analytical framework for analyzing trade orientation and growth, focusing on a small economy's ability to absorb technological innovations. It derives a model of endogenous technological progress, showing that more open economies are more efficient in absorbing innovations. The paper then uses Leamer's trade intervention indexes to study the relationship between trade policy and growth. These indexes are objective, continuous, and comparable across countries. The paper also investigates the role of human capital and political instability on growth. The paper investigates the robustness of the results using alternative trade distortion indicators. It finds strong evidence supporting the hypothesis that more open countries tend to grow faster. The findings are robust to the choice of trade policy indicator, estimation method, sample selection, measurement error correction, equation specification, and time period used. The paper presents empirical results showing that trade orientation and growth are positively related. It uses a regression model to analyze the relationship between growth and its determinants, including investment, knowledge gap, and trade intervention. The results show that higher investment and knowledge gaps are associated with higher growth, while higher trade intervention is associated with lower growth. The paper also investigates the role of human capital and political instability on growth. The paper concludes that trade policy plays an important role in explaining cross-country growth performance. Countries with more open and less distorted trade policies tend to grow faster. The results are robust to different estimation methods, error correction, and outlier removal. The paper argues that future research should focus on the microeconomics of technological innovation and growth.