Weak‐instrument robust inference for two‐sample instrumental variables regression

Instrumental variable (IV) methods for regression are well established. More recently, methods have been developed for statistical inference when the instruments are weakly correlated with the endogenous regressor, so that estimators are biased and no longer asymptotically normally distributed. This paper extends such inference to the case where two separate samples are used to implement instrumental variables estimation. We also relax the restrictive assumptions of homoskedastic error structure and equal moments of exogenous covariates across two samples commonly employed in the two‐sample IV literature for strong IV inference. Monte Carlo experiments show good size properties of the proposed tests regardless of the strength of the instruments. We apply the proposed methods to two seminal empirical studies that adopt the two‐sample IV framework.     

Bertrand versus Cournot competition in a downstream mixed oligopoly with foreign ownership

Focusing on foreign ownership in the private firm, we examine the Cournot-Bertrand comparison in a mixed oligopolistic market with vertical market structure. We have found that if public and private firms were charged with uniform price for their inputs, then Cournot-Bertrand ranking in market outcomes confirms those obtained by Ghosh and Mitra (2010). This implies that under uniform pricing in the upstream sector, the vertical market structure does not have substantial influences on Cournot-Bertrand ranking. However, if discriminatory pricing is adopted, firm's profits, output, and social welfare are often reversed to those obtained from uniform pricing in the upstream sector. Given the closeness of products, if the share of foreign ownership is sufficiently low, social welfare in Cournot competition can exceed that of Bertrand competition, contrasting with the standard welfare ranking that Bertrand welfare is strictly higher than Cournot. This implies that Cournot competition can be more socially desirable than Bertrand in mixed oligopoly with vertical market structure if discriminatory pricing scheme is adopted by foreign upstream monopolists.     

The Effects of Four Dimensions of Strategic Orientation on Firm Innovativeness and Performance in Emerging Market Small- and Medium-Size Enterprises

We investigate the effects of technology, entrepreneurial, market, and learning orientations on firm innovativeness, and the mediating effect of firm innovativeness on these relationships, using a survey of 374 small- and medium-size enterprises in Korea. The results reveal that, while technology, entrepreneurial, and learning orientations significantly influence firm innovativeness, firm innovativeness has a significant effect on firm performance. We also find that firm innovativeness has a statistically significant mediating role in the relationships of technology, entrepreneurial, and learning orientations to firm performance. Our study contributes to strategic management and emerging market literature by identifying the pivotal role of innovativeness for firms that seek to benefit from various types of strategic orientations.     

Shareholder Conflict as a Determinant of Corporate Social Responsibility Commitment for Shared Growth

In this study, we seek to explore shareholder conflicts as a determinant of large firms' corporate social responsibility (CSR) commitment for shared growth with subcontractors. Using a sample of 232 firms in the Korean chaebols during 2006'12, we find that CSR commitment is negatively related to controlling shareholders' cash flow rights but positively related to control-ownership disparity. We also find that foreign blockholders mitigate the positive relationship between CSR commitment and control-ownership disparity. This study offers a view of how controlling shareholders and blockholders protect their interests while enhancing their reputations as good citizens through CSR commitment.     

Mitigating the Challenges of Partner Knowledge Diversity While Enhancing Research & Development (R&D) Alliance Performance: The Role of Alliance Governance Mechanisms

This article explores the answers to the following unresolved research question: How do firms mitigate the collaboration challenges associated with partner knowledge diversity and enhance alliance performance? The study provides an alliance performance enhancing framework by identifying two types of partner knowledge diversity: (1) technology base diversity and (2) R&D process experience diversity, and links them with R&D alliance performance. Additionally, the moderating effects of the two types of alliance governance mechanisms (i.e., interactive and contractual mechanisms) were examined to investigate which alliance governance mechanism is conducive to mitigate the collaboration challenges and enhance alliance performance. Using a data set of 316 alliances in the biopharmaceuticals industry, the study found that a moderate degree (not too low or high) of technology base diversity between alliance partners contributes more to R&D alliance performance. Similarly, there was also an inverted U-shaped relationship between R&D process experience diversity and alliance performance; too much diversity in R&D process experience may increase the likelihood of partner opportunism, and therefore negatively affect alliance performance. Additionally, the results showed that alliance governance mechanisms played different roles in alliance collaboration; while the contractual alliance mechanisms help reduce relational uncertainty (e.g., opportunism), the interactive mechanisms promoting a more intensive interaction between partners mitigates task difficulty and facilitates complex technology activities. These findings extend the knowledge-based view (KBV) of strategic alliance and advance research on alliance governance design.     

Short-sale constraints and informational efficiency to private information: A natural experiment

Exploiting a regulatory change in short-sale constraints (Regulation SHO) as a natural experiment, this paper examines the effect of short-sale constraints on informational efficiency of stock prices to private information. I find that short-sellers act as informed traders prior to forthcoming analyst news and trade on negative private information. When short-sale constraints are relaxed for pilot stocks (treatment group), both trading volume and stock price sensitivity increase prior to the analyst announcement for bad news but not for good news, relative to that of nonpilot stocks (control group). The findings are consistent with the Diamond and Verrecchia model that predicts that short-selling increases the speed of adjustment of stock prices to private negative information. In the cross-section, the effect of Reg SHO is stronger in stocks of firms with weak and uncertain information environments (i.e., small firms and firms with high analyst forecast dispersion).     

Robust estimation for structural spurious regressions and a Hausman-type cointegration test

This paper analyzes an approach to correcting spurious regressions involving unit-root nonstationary variables by generalized least squares (GLS) using asymptotic theory. This analysis leads to a new robust estimator and a new test for dynamic regressions. The robust estimator is consistent for structural parameters not just when the regression error is stationary but also when it is unit-root nonstationary under certain conditions. We also develop a Hausman-type test for the null hypothesis of cointegration for dynamic ordinary least squares (OLS) estimation. We demonstrate our estimation and testing methods in three applications: (i) long-run money demand in the U.S., (ii) output convergence among industrial and developing countries, and (iii) purchasing power parity (PPP) for traded and non-traded goods.     

Detections of changes in return by a wavelet smoother with conditional heteroscedastic volatility

In this paper, we propose two estimators, an integral estimator and a discretized estimator, for the wavelet coefficient of regression functions in nonparametric regression models with heteroscedastic variance. These estimators can be used to test the jumps of the regression function. The model allows for lagged-dependent variables and other mixing regressors. The asymptotic distributions of the statistics are established, and the asymptotic critical values are analytically obtained from the asymptotic distribution. We also use the test to determine consistent estimators for the locations of change points. The jump sizes and locations of change points can be consistently estimated using wavelet coefficients, and the convergency rates of these estimators are derived. We perform some Monte Carlo simulations to check the powers and sizes of the test statistics. Finally, we give practical examples in finance and economics to detect changes in stock returns and short-term interest rates using the empirical wavelet method.     

International capital mobility: regional versus global perspective

This paper examines the role of regional versus global savings in financing domestic investment to shed light on the role of financial globalization and regionalism in capital markets. Regression results based on six regions with 141 countries reveal that although the role of foreign (global or regional) saving has increased over time, there are regional differences: domestic saving is the major source of investment financing in North America with an increasing role of regional and global savings over time, while regional saving is the main source in Europe. Global saving has been the main source of investment financing in other regions where domestic and regional financial markets are not well developed. However, the role of regional saving has significantly increased in recent years in the Asia-Pacific and in Latin America. Regionalism such as financial and monetary cooperation is likely to have increased the role of regional saving.     

Population Structure and Housing Prices: Evidence from Chinese Provincial Panel Data

This study analyzes the relationship between the proportion of the economically active population aged 15–64 to total population and housing prices. A panel of 31 provinces in China from 2002 to 2014 is used in our analysis. We find empirical evidence that the impact of the population structure on housing-price growth increases as the population growth rates rise. This observation suggests that, to understand provincial housing price movements in China, one should consider the ratio of working-age population to total population in a province. The main policy implication is that Chinese policymakers need to ensure a moderated population growth to effectively promote stability in housing prices and the economy.