Technological change, human capital update and growth policies

This paper presents a model of growth driven simultaneously by innovation and human capital accumulation. Two different long-run equilibria are possible, according to whether or not workers skills are completely updated over time as knowledge expands. Skill gaps could arise as a consequence of poor education infrastructures, even in the efficient solution; in such circumstances, we find that whilst education policies are able to encourage growth, R&D policies are not. Otherwise, subsidizing education becomes ineffective for enhancing growth, although it could be necessary to avoid possible skill gaps originated by the R&D growth-enhancing policy.JEL Classification: O41, O33The authors wish to thank the financial support received for the project SEC 2001-2469 (Ministry of Science and Technology, Spain, and FEDER), as well as the comments of the co-editor and the referees.     

The Asian clam Corbicula fluminea in the European freshwater-dependent industry: A latent threat or a friendly enemy?

While the biofouler Corbicula fluminea (Müller, 1774) is known to cause great economic losses in North America, studies reporting the problem in Europe are much scarcer. This paper explores the industrial effects of the species in Portugal, the gateway by which the bivalve entered Europe around 30 years ago. National waterworks, major power stations, cement plants, pulp and paper mills and irrigation systems were surveyed. The industrial impacts of the pest were shown to remain relatively mild; irrigation systems are those that seem to be facing more significant economic losses due to infestation. Possible reasons for the apparent discrepancy between this result and the species dispersal in natural ecosystems are discussed, and recommendations on adequate responses to the latent threat are provided. This study may assist the implementation of integrated pest management policies in countries at risk of invasion or recently invaded, and contribute to an understanding of the species’ progression in industrial environments.     

You can take it with you: Proposition 13 tax benefits,residential mobility,and willingness to pay for housing amenities

The endogeneity of prices has long been recognized as the main identification problem in the estimation of marginal willingness to pay (MWTP) for the characteristics of a given product. This issue is particularly important in the housing market, since a number of housing and neighborhood features are unobserved by the econometrician. This paper proposes the use of a well defined type of transaction costs–moving costs generated by property tax laws–to deal with this type of omitted variable bias. California's Proposition 13 property tax law is the source of variation in transaction costs used in the empirical analysis. Beyond its fiscal consequences, Proposition 13 created a lock-in effect on housing choice because of the implicit tax break enjoyed by homeowners living in the same house for a long time. Its importance to homeowners is estimated from a natural experiment created by two amendments that allow households headed by an individual over the age of 55 to transfer the implicit tax benefit to a new home. Indeed, 55-year old homeowners have 25% higher moving rates than those of comparable 54 year olds. These transaction costs from the property tax laws are then incorporated into a household sorting model. The key insight is that because of the property tax laws, different potential buyers may have different user costs for the same house. The exogenous property tax component of this user cost is then used as an instrumental variable. I find that MWTP estimates for housing characteristics are approximately 100% upward biased when the choice model does not account for the price endogeneity.     

Regulation and rent‐seeking: The role of the distribution of political and economic power

It is shown that the joint distribution of economic and political power plays a key role in determining regulatory and tax policies of national and subnational governments. If both economic and political power are evenly distributed across individuals, then regulatory and tax policies are efficient, but if they are unevenly distributed and positively correlated, then regulatory policy is used by subnational governments to redistribute income in favor of individuals with higher economic and political power at the expense of productivity and output. Consequently, the national government has to raise the tax rate to finance public expenditure. Moreover, if there exists a positive correlation between economic and political power, then the higher the fiscal gap, the larger the gap between equilibrium and efficient policies because subnational governments underestimate more the fall of public revenues caused by inefficient policies.     

Short-Run and Long-Run Effects of Copper Mining on Peru’s Recent Economic Growth

Peru is the second-largest producer and exporter of copper in the world. This paper proposes a novel approach to assess short-run and long-run effects of copper on Peru’s recent economic growth. Annual data over the 2014–2018 period were used to calculate a Mining Contribution Index (MCI). An institutional quality indicator of the World Competitiveness Index of the World Economic Forum measured the dependence of Peruvian economic growth on mining and the quality of its institutions, respectively. Then, monthly data during the period 2005–2018 were used to run vector autoregressive (VAR) and vector error correction (VEC) models to measure copper’s effects on the country’s economy over time. VAR-VEC models included copper production, exports, international price, investment, taxes paid by producing companies, and Peru’s gross domestic product (GDP). Stationarity and causality of variables were verified with the Augmented Dickey-Fuller and Granger tests, respectively. Due to the presence of non-stationary variables, a VEC model was implemented to forecast short- and long-run effects. The main results show that real GDP responds to copper output and other related explanatory variables differently, depending upon the instrument applied. Peruvian GDP has increased dependence on copper mining. The quality of its institutions could explain the presence of Dutch Disease or resource curse theory. Short- and long-run effects of copper output on GDP were generally statistically non-significant. GDP was statistically significant in relation to other mining variables, such as copper exports and the international price of copper.

     

Institutional ownership,analyst following,and share prices

We study the mutual relationships between institutional ownership, analyst following and share prices. We show that the pressure on firms to set lower share prices to attract analysts is attenuated by institutional monitoring. Our theory refutes the assumed causal relation between share price and institutional ownership, attributed to the share price–liquidity relation, and we show empirically that share prices and institutional ownership are positively related after controlling for liquidity. Our study provides a rationale for why better firms generally maintain higher share price levels, and offers new insights into the puzzling empirical linkages observed between nominal share price levels and firm fundamentals.     

The half-truth of first-mover advantage

Many executives take for granted that the first company in a new product category gets an unbeatable head start and reaps long-lasting benefits. But that doesn't always happen. The authors of this article discovered that much depends on the pace at which the category's technology is changing and the speed at which the market is evolving. By analyzing these two factors, companies can improve their odds of succeeding as first movers with the resources they possess. Gradual evolution in both the technology and the market provides a first mover with the best conditions for creating a dominant position that is long lasting (Hoover in the vacuum cleaner industry is a good example). In such calm waters, a company can defend its advantages even without exceptional skills or extensive financial resources. When the market is changing rapidly and the product isn't, a first entrant with extensive resources can obtain a long-lasting advantage (as Sony did with its Walkman personal stereo); a company with only limited resources probably must settle for a short-term benefit. When the market is static but the product is changing constantly, first-mover advantages of either kind--durable or short-lived--are unlikely. Only companies with very deep pockets can survive (think of Sony and the digital cameras it pioneered). Rapid churn in both the technology and the market creates the worst conditions. But if companies have an acute sense of when to exit-as Netscape demonstrated when it agreed to be acquired by AOL-a worthwhile short-term gain is possible. Before venturing into a newly forming market, you need to analyze the environment, assess your resources, then determine which type offirst-mover advantage is most achievable. Once you've gone into the water, you have no choice but to swim.     

The role of no-arbitrage on forecasting: Lessons from a parametric term structure model

Parametric term structure models have been successfully applied to numerous problems in fixed income markets, including pricing, hedging, managing risk, as well as to the study of monetary policy implications. In turn, dynamic term structure models, equipped with stronger economic structure, have been mainly adopted to price derivatives and explain empirical stylized facts. In this paper, we combine flavors of those two classes of models to test whether no-arbitrage affects forecasting. We construct cross-sectional (allowing arbitrages) and arbitrage-free versions of a parametric polynomial model to analyze how well they predict out-of-sample interest rates. Based on US Treasury yield data, we find that no-arbitrage restrictions significantly improve forecasts. Arbitrage-free versions achieve overall smaller biases and root mean square errors for most maturities and forecasting horizons. Furthermore, a decomposition of forecasts into forward-rates and holding return premia indicates that the superior performance of no-arbitrage versions is due to a better identification of bond risk premium.