Skill-biased technological change and homeownership

In the United States, the residential housing market went through important changes over the period from the 1970s to the mid-1990s. Although the aggregate homeownership rate was relatively stable during that period, the distribution of homeownership rates by age changed in remarkable ways. While younger households saw substantial declines in homeownership rates, the opposite happened for older households. In this paper, we argue that the skill-biased technological change (SBTC) that began during the 1970s has been an important factor behind the observed change in the distribution of homeownership rates by age. We build a life cycle model in which skills are accumulated on-the-job through experience: learning by doing. Early in life, households have lower levels of skills and therefore lower earnings. SBTC increases the returns to skill, widening the wage gap between young and old ages. As a consequence, it takes more time for young households to become homeowners given frictions in financial markets (e.g. downpayment requirements) and housing markets (e.g. large and indivisible houses), in line with consumption smoothing behavior. On the other hand, older households that could not afford a house before may now become homeowners, given higher returns to skill. Our analysis confirms this conjecture, namely, that SBTC shifts the distribution of homeownership from the young to the old.     

Identifying and Estimating the Distributions of Ex Post and Ex Ante Returns to Schooling

This paper surveys a recent body of research by Carneiro, Hansen, and Heckman [Carneiro, P., K. Hansen, and J.J. Heckman, 2001, Fall. Removing the veil of ignorance in assessing the distributional impacts of social policies. Swedish Economic Policy Review 8 (2), 273–301., Carneiro, P., K. Hansen, and J.J. Heckman, 2003, May. Estimating distributions of treatment effects with an application to the returns to schooling and measurement of the effects of uncertainty on college choice. International Economic Review 44 (2), 361–422. 2001 Lawrence R. Klein Lecture], Cunha and Heckman [Cunha, F. and J.J. Heckman, 2006. The evolution of earnings risk in the US economy. Presented at the 9th World Congress of the Econometric Society, London], Cunha, Heckman, and Navarro [Cunha, F., J.J. Heckman, and S. Navarro, 2004, March. Separating heterogeneity from uncertainty in an aiyagari–laitner economy. Presented at the Goldwater Conference on Labor Markets, Arizona., Cunha, F., J.J. Heckman, and S. Navarro, 2005, April. Separating uncertainty from heterogeneity in life cycle earnings, The 2004 Hicks Lecture. Oxford Economic Papers 57 (2), 191–261., Cunha, F., J.J. Heckman, and S. Navarro, 2006. Counterfactual analysis of inequality and social mobility. In S.L. Morgan, D.B. Grusky, and G.S. Fields (Eds.), Mobility and Inequality: Frontiers of Research in Sociology and Economics, Chapter 4, pp. 290–348. Stanford, CA: Stanford University Press], Heckman and Navarro [Heckman, J.J. and S. Navarro, 2007, February. Dynamic discrete choice and dynamic treatment effects. Journal of Econometrics 136 (2), 341–396] and Navarro [Navarro, S., 2005. Understanding Schooling: Using Observed Choices to Infer Agent's Information in a Dynamic Model of Schooling Choice When Consumption Allocation is Subject to Borrowing Constraints. Ph.D. Dissertation, University of Chicago, Chicago, IL] that identifies and estimates the ex post distribution of returns to schooling and determines ex ante distributions of returns on which agents base their schooling choices. We discuss methods and evidence, and state a fundamental identification problem concerning the separation of preferences, market structures and agent information sets. For a variety of market structures and preference specifications, we estimate that over 50% of the ex post variance in returns to college are forecastable at the time agents make their schooling choices.     

How do high-involvement work processes influence employee outcomes? An examination of the mediating roles of skill utilisation and intrinsic motivation

How do high-involvement work processes influence employee outcomes? In this paper, we use Vandenberg et al.'s [Vandenberg, R. J., Richardson, H. A., & Eastman, L. J. (1999). The impact of high involvement work processes on organisational effectiveness: A second order latent variable approach. Group and Organisational Management, 24, 300–339] elaboration of Lawler's [Lawler, E. E. (1986). High-involvement management: Participative strategies for improving organizational performance. San Francisco, CA: Jossey-Bass] model to test direct links and to explore skill utilisation and intrinsic motivation as mediators. Survey data were collected from a large New Zealand organisation providing distribution services and results were analysed through structural equation modelling. While there are important direct effects, the results demonstrate that both skill utilisation and intrinsic motivation transmit high-involvement processes into valuable outcomes for employees. The benefits to employees of such processes are direct but also lie in the way they make the work itself more motivating and enable them to deploy and grow their skills. This implies that forms of work organisation and supervision that offer workers greater opportunity for discretion, and involvement in the decisions that concern them, create the conditions for greater learning and, in turn, contribute to their well-being.     

Gradual information diffusion and contrarian strategies

Various rational and behavioral models have been proposed to explain contrarian portfolio returns. In this article, I test the gradual information diffusion model of Hong and Stein [Hong, H., & Stein J. C. (1999). A unified theory of underreaction, momentum trading, and overreaction in asset markets. Journal of Finance, 54, 2143–2184]. Specifically, I study contrarian strategies based on past long-term returns and fundamental value-to-price ratios. Using ex post returns as a proxy for expected returns and size-controlled analyst coverage as a proxy for the rate of information diffusion, I show that contrarian portfolio returns decline monotonically with increasing rates of information diffusion. These results are consistent with the predictions of the Hong and Stein model. In addition, I show that analyst coverage is more important among glamour than value stocks, supporting the view that investors are more prone to decision biases when it comes to pricing hard-to-value glamour stocks for which information is relatively more ambiguous.     

Estimating distributions of potential outcomes using local instrumental variables with an application to changes in college enrollment and wage inequality

This paper extends the method of local instrumental variables developed by Heckman and Vytlacil [Heckman, J., Vytlacil E., 2005. Structural equations, treatment, effects and econometric policy evaluation. Econometrica 73(3), 669–738] to the estimation of not only means, but also distributions of potential outcomes. The newly developed method is illustrated by applying it to changes in college enrollment and wage inequality using data from the National Longitudinal Survey of Youth of 1979. Increases in college enrollment cause changes in the distribution of ability among college and high school graduates. This paper estimates a semiparametric selection model of schooling and wages to show that, for fixed skill prices, a 14% increase in college participation (analogous to the increase observed in the 1980s), reduces the college premium by 12% and increases the 90–10 percentile ratio among college graduates by 2%.     

Career progression and comparative advantage

This paper constructs and estimates a structural dynamic model of occupational choice in which all occupations are characterized in a skill requirement space using data from the Dictionary of Occupational Titles and the NLSY79. This skill requirement space approach has its merit in computational simplicity as well as ease of interpretation: it allows the model to include hundreds of occupations at the three-digit census classification level without a large number of parameters. Parameter estimates indicate that wages grow with the skill requirements of an occupation and that educated and experienced individuals are better rewarded in a cognitive and interpersonal skill demanding occupation. They also suggest that ignoring self-selection into occupations and individual heterogeneity may result in counter-intuitive and biased estimates of the returns to skill requirements.     

A test for the weights of the global minimum variance portfolio in an elliptical model

In this paper we consider the weights of the global minimum variance portfolio (GMVP). The returns are assumed to follow a matrix elliptically contoured distribution, i.e., the returns are assumed to be neither independent nor normally distributed. A test for the general linear hypothesis is given. The distribution of the test statistic is derived under the null and the alternative hypothesis. It turns out that its distribution is invariant with respect to the type of the matrix elliptical distribution, i.e., the stochastic properties of the GMVP do not depend either on the mean vector or on the distributional assumptions imposed on asset returns. In an empirical study we analyze an international diversified portfolio.     

Returns to Skills and the Distribution of Wages: Spain 1995–2010

In contrast to the pattern observed in other developed countries, the Spanish wage distribution compressed between 1995 and 2006 and became more disperse afterwards, so that in 2010 wage inequality was roughly similar to 1995. In this paper, we analyze the role of supply and demand factors when accounting for these facts. We start by decomposing observed wage changes into changes in the composition of the labour force and changes in the returns of workers' and jobs' characteristics. The results indicate that the compression of the wage distribution between 1995 and 2006 is largely explained by changes in returns, and particularly, by a decrease in the returns to education. We show that both the increase in the supply of high‐skilled workers and the increasing weight of low‐skilled occupations are related to the decreasing trend in the skill premium over this period. In contrast, the widening of the wage distribution after 2006 is largely explained by an increase in the relative demand for high‐skilled workers generating an increase in the school premium.     

Self-selection and internal migration in the United States

"Within the conceptual framework of the Roy model, this paper provides an empirical analysis of internal migration flows [in the United States] using data from the National Longitudinal Survey of Youth. The theoretical approach highlights regional differences in the returns to skills: regions that pay higher returns to skills attract more skilled workers than regions that pay lower returns. Our empirical results suggest that interstate differences in the returns to skills are a major determinant of both the size and skill composition of internal migration flows. Persons whose skills are most mismatched with the reward structure offered by their current state of residence are the persons most likely to leave that state, and these persons tend to relocate in states which offer higher rewards for their particular skills."     

Inequality and ability

This paper examines how much the increasing “residual inequality” in the United States can be explained by increasing returns to cognitive skills. Also, this paper uses selection-correction techniques to estimate the latent population distribution of unobservable skill within three occupational sectors, and breaks down the leftover “residual” term into a “general” unobservable component and a sector-specific unobservable component. The results indicate that sector-specific skills have played only a minor role in the inequality trends. Increasing “residual inequality” is mostly characterized by an increasing importance of general skills, either IQ or the general unobservable skill, within all three occupations.     

Average treatment effects for stayers with correlated random coefficient models of panel data

Correlated random coefficient (CRC) models provide a useful framework for estimating average treatment effects (ATE) with panel data by accommodating heterogeneous treatment effects and flexible patterns of selection. In their simplest form, they lead to the well-known difference-in-differences estimator. CRC models yield estimates of ATE for “movers” (i.e., cross-sectional units whose treatment status changed over time) while ATE for “stayers” (i.e., cross-sectional units who retained the same treatment status over time) are not identified. We study additional restrictions on selection into treatment that lead to the identification of ATE for stayers by an extrapolation from quantities identified by the CRC model. We discuss estimation and testing of the extrapolation's validity, then use our results to estimate the returns to agricultural technology adoption among maize farmers in Kenya.     

Forecasting volatility with time-varying leverage and volatility of volatility effects

Predicting volatility is of primary importance for business applications in risk management, asset allocation, and the pricing of derivative instruments. This paper proposes a measurement model that considers the possibly time-varying interaction of realized volatility and asset returns according to a bivariate model to capture its major characteristics: (i) the long-term memory of the volatility process, (ii) the heavy-tailedness of the distribution of returns, and (iii) the negative dependence of volatility and daily market returns. We assess the relevance of the effects of “the volatility of volatility” and time-varying “leverage” to the out-of-sample forecasting performance of the model, and evaluate the density of forecasts of market volatility. Empirical results show that our specification can outperform the benchmark HAR–GARCH model in terms of both point and density forecasts.     

The stochastic volatility in mean model and automation: Evidence from TSE

This paper investigates the behavior of volatility in Canadian equity markets before and after automation. We employ a stochastic volatility in mean (SVM) model that incorporates the unobserved volatility as an explanatory variable in the mean equation. The volatility persistent estimates all increase post-automation, with the scaling parameter increasing as well. The parameter estimates which measure both the ex ante relationship between returns and volatility and the volatility feedback effect are found to be negative for all series, and to increase post-automation. Our results fall in line with those of (French, K.R., Schwert, G.W., & Stanbaugh, R.F. (1987). Expected stock returns and volatility. Journal of Financial Economics, 19, 3–29) who find similar relationship between unexpected volatility dynamics and returns and confirm the hypothesis that rational risk-averse investors require higher expected returns when unanticipated increase in future volatility are highly persistent. Finally, our findings are consistent since higher values of persistence are combined with larger negative values for the in-mean parameter.     

A New Regime Switching Model with State–Varying Endogeneity

In this paper, we propose a state-varying endogenous regime switching model (the SERS model), which includes the endogenous regime switching model by Chang et al., the CCP model, as a special case. To estimate the unknown parameters in the SERS model, we propose a maximum likelihood estimation method. Monte Carlo simulation results show that in the absence of state-varying endogeneity, the SERS model and the CCP model perform similarly, while in the presence of state-varying endogeneity, the SERS model performs much better than the CCP model. Finally, we use the SERS model to analyze Chinese stock market returns, and our empirical results show that there exists strongly state-varying endogeneity in volatility switching for the Shanghai Composite Index returns. Moreover, the SERS model can indeed produce a much more realistic assessment for the regime switching process than the one obtained by the CCP model.     

A comparative goodness-of-fit analysis of distributions of some Lévy processes and Heston model to stock index returns

In this paper, we investigate the goodness-of-fit of three Lévy processes, namely Variance-Gamma (VG), Normal-Inverse Gaussian (NIG) and Generalized Hyperbolic (GH) distributions, and probability distribution of the Heston model to index returns of twenty developed and emerging stock markets. Furthermore, we extend our analysis by applying a Markov regime switching model to identify normal and turbulent periods. Our findings indicate that the probability distribution of the Heston model performs well for emerging markets under full sample estimation and retains goodness of fit for high volatility periods, as it explicitly accounts for the volatility process. On the other hand, the distributions of the Lévy processes, especially the VG and NIG distributions, generally improves upon the fit of the Heston model, particularly for developed markets and low volatility periods. Furthermore, some distributions yield to significantly large test statistics for some countries, even though they fit well to other markets, which suggest that properties of the stock markets are crucial in identifying the best distribution representing empirical returns.     

A two-region model with two types of manufacturing technologies and agglomeration

A two-region model is proposed in this paper. Manufactured goods can be produced with cottage technology under constant returns to scale or with modern technology using differentiated intermediate goods, which are produced with increasing returns to scale technology. In the model, there may be multiple equilibria, and, in such cases, the initial conditions determine the equilibrium that the economy reaches. It is shown that strong increasing returns due to specialization and low transportation costs bring about industrialization with agglomeration. This framework explains the mechanism behind the different industrialization process in Japan and in less developed countries.     

Portfolio Selection under Maximum Minimum Criterion

In this paper, we studied the problem of risky portfolio selection under uncertainty. Different from risk-return analytical methodology, we formulated a model under maximum minimal criterion of uncertain decision-making theory. If the investor had no any distribution information of the returns and (s)he knew the variation scopes of the returns by his/her knowledge of the market information or experts’ evaluations of the alternative risky assets, then we showed that the optimal portfolio strategy of the model under maximal minimal criterion could be obtained by solving linear programming. If the returns were known to be normal distributed, the investor’s optimal portfolio strategy could be obtained by solving a nonlinear programming. The paper also provided an algorithm to solve this programming. At last, the paper compared this model with Markowitz’s mean-varience (M-V) model and Young’s minmax model, and pointed out the distinctions and similarities between our model and the other two. Supported in part by Program for NCET, in part by the Key Project of Chinese Ministry of Education 104053.     

Human capital revisited: The role of experience and education when controlling for performance and cognitive skills

Human capital theory predicts that differences in wages arise because of differences in human capital. The latter can be accumulated in two ways: through experience and education. Using matched firm–worker data for the Ghanaian Manufacturing sector we first test whether changes in wages over the life cycle reflect changes in performance, following the methodology of Medoff and Abraham [Medoff, J.L., &; Abraham, K.G. (1980). Experience, Performance, and Earnings. Quarterly Journal of Economics, 95(4), 703-736; Medoff, J.L., &; Abraham, K.G. (1981). Are Those Paid More Really More Productive? The Case of Experience. Journal of Human Resources, 16(2), 186–216]. We find that wage–seniority profiles are independent of performance – a result that holds when controlling for firm fixed effects. Extending the analysis, we include a control for on-the-job-training and find that it does not attenuate the seniority profile, which is also at odds with human capital theory. We do find however that firm characteristics play an important role. Wage–seniority profiles are steeper in large firms, but performance profiles are not, suggesting that the results from Medoff and Abraham are specific to large firms. We then assess the role of education. Our results confirm that education is important for the allocation to job levels. Using data on cognitive ability, we also find that the effect of education on wages is at least partially because it signals cognitive ability. We also find evidence that the returns to education are not related to performance, while the returns to cognitive ability are.     

An examination of ex-ante factors and their influence on equity carve-out long-term performance

This study examines the influence of several ex-ante factors on three-year market-adjusted returns of two-stage carve-out combinations from 1988 to 2006. We observe that several factors maintain their significance over a three-year period after equity carve-out ex-dates. Also, we report that, contrary to Vijh (J Bus 75(1):153–190, 1999), negative three-year carve-out returns are statistically significant. In addition, we note that negative combination carve-out/spin-off three-year returns are higher than those of carve-outs acquired by third parties or reacquired by their parents. Moreover, we observe that our independent variables explain 14.56% of the multiple regression three-year returns for carve-outs. Also, our negative correlation of three-year returns with initial period returns supports the “leaning against the wind” hypothesis of Loughran and Ritter (Rev Financ Stud 15(2):413–443, 2002). In addition, our results for the post-bubble period (2001–2006) provide an extension of the changing issuer objective function noted by Loughran and Ritter (Financ Manage 35(3):23–51, 2004) for IPOs and Hogan and Olson (J Financ Res 27(4):521–537, 2004) for equity carve-outs.