Impact evaluation of multiple overlapping programs under a conditional independence assumption

Under the assumption on conditional independence between potential outcomes and program assignment, program impacts measured by the Average Treatment Effect (ATE) and the Average Treatment Effect on Treated (ATT) can be identified and estimated using cross-section regression or propensity score matching (PSM). Traditional impact literature often deals with the impact evaluation of a single program. In reality, one can participate in several programs simultaneously and the programs may be correlated. This paper discusses cross-section regression and PSM methods in this general context. It is shown that under the PSM method, impact of a program of interest can be measured as a weighted average of program impacts on groups with different program statuses. Estimation of impacts of multiple overlapping programs is illustrated using Monte Carlo simulation and an empirical example of impact measurement of international and internal remittances in Vietnam.     

Analysis of contagion from the dynamic conditional correlation model with Markov Regime switching

Over the last decades, the transmissions of international financial events have been the subject of many academic studies focused on multivariate volatility models. This study evaluates the financial contagion between stock market returns. The econometric model employed, regime switching dynamic correlation (RSDC). A modification was made in the original RSDC model, the introduction of the GJR-GARCH-N and also GJR-GARCH-t models, on the equation of conditional univariate variances, thus allowing us to capture the asymmetric effects in volatility and also heavy tails. A database was built using series of indices in the United States (S&P500), the United Kingdom (FTSE100), Brazil (IBOVESPA) and South Korea (KOSPI) from 1 February 2003 to 20 September 2012. Throughout this study the methodology is compared with those frequently found in literature, and the model RSDC with two regimes was defined as the most appropriate for the selected sample with t-Student distribution in the disturbances. The adapted RSDC model used in this article can be used to detect contagion – considering the definition of financial contagion from the World Bank called very restrictive – with the help of the empirical exercise.     

Analysis of electricity prices for Central American countries using dynamic conditional score models

In this paper, we compare the performance of dynamic conditional score (DCS) and standard financial time-series models for Central American energy prices. We extend the Student’s t and the exponential generalised beta distribution of the second kind stochastic location and stochastic seasonal DCS models. We consider the generalised t distribution as an alternative for the error term and also consider dynamic specifications of volatility. We use a unique dataset of spot electricity prices for El Salvador, Guatemala and Panama. We consider two data windows for each country, which are defined with respect to the liberalisation and development process of the energy market in Central America. We study the identification of a wide range of DCS specifications, likelihood-based model performance, time-series components of energy prices, maximum likelihood parameter estimates, the discounting property of conditional score, and out-of-sample forecast performance. Our main results are the following. (i) We determine the most robust models of energy prices, with respect to parameter identification, from a wide range of DCS specifications. (ii) For most of the cases, the in-sample statistical performance of DCS is superior to that of the standard model. (iii) For El Salvador and Panama, the standard model provides better point forecasts than DCS, and for Guatemala the point forecast precision of standard and DCS models does not differ significantly. (iv) For El Salvador, the standard model provides better density forecasts than DCS, and for Guatemala and Panama, the density forecast precision of standard and DCS models does not differ significantly.     

On the measurement of dynamic effects of integration

By allowing a freer interplay of market forces, the market liberalization involved in closer economic integration can improve the efficiency of productive factors. This permits greater output from the same inputs. A side effect of this improved efficiency is an improved investment climate in the integrating region. This in turn will result in a higher investment rate, thereby augmenting the initial output gains by providing the economy with more resources. The same sort of induced capital formation can also boost investment in human capital and knowledge capital. Primitive calculations of the size and timing of these induced capital formation can be made using an aggregate GDP function. A rough approximation of the adjustment path shows that the extra investment will stimulate growth for decades, although half of the total effect will occur in the first 10 to 50 years.     

Differentiability of the value function without interiority assumptions

This paper studies first-order differentiability properties of the value function in concave dynamic programs. Motivated by economic considerations, we dispense with commonly imposed interiority assumptions. We suppose that the correspondence of feasible choices varies with the vector of state variables, and we allow the optimal solution to belong to the boundary of this correspondence. Under minimal assumptions we prove that the value function is continuously differentiable. We then discuss this result in the context of some economic models, and focus on some examples in which our assumptions are not met and the value function is not differentiable.     

我国农产品实施绿色营销的思路

本文提出我国农产品实施绿色营销是重要的战略选择，分析了实施农产品绿色营销的体系，并提出实施绿色营销战略的基本思路。     

Distributional assumptions and a test of the dual labor market hypothesis

Recent application of the switching regression model to allocate workers into the primary and secondary labor markets is considered to be the best solution to the classification problem of the empirical testing of the dual labor market theory. In such models, normality of the error terms is assumed. This paper adopts the switching regression model to test the dual labor market theory by assuming different distributions of the error terms. The test results strongly support the dual labor market theory regardless of the assumption one makes about the error terms. However, the results indicate that different distribution can lead to different percentage distributions of workers in the two segments. In particular, the normal distribution generates more workers in the primary segment than the non-normal distributions. Therefore, care must be taken not to generalize the type of industries or occupations that fall under the primary and secondary segments. First version received: October 2000/Final version received: March 2002 RID="*" ID="*"  I would like to thank Kevin Lang, Robert Marshall, and two anonymous referees for their helpful comments. I am grateful for comments received from the session participants of the Western Economic Association International Conference, San Francisco, CA, June 28–July 2, 1996, and the Midwest Economic Association Conference, Kansas City, 1997. I thank George Bonney, the Chief Statistician of Fox Chase Cancer Center, Philadelphia for his comments. Any remaining errors are my responsibility. I gratefully acknowledge financial support from Penn State Research and Development Grant, 1995.     

Development of the extended linear expenditure system from simple saving assumptions

The extended linear expenditure system (ELES) can be developed as an atemporal maximization of a Stone-Geary utility function wherein saving is treated as a good in itself. The key to this development is the a priori specification of the ‘subsistence quantity’ of saving, γ_{n + 1}, to be zero. Thus, the intertemporal maximization approach to the ELES is equivalent to specifying a Klein-Rubin saving function with γ_{n + 1} = 0 for a linear expenditure system (LES) based on permanent income rather than total expenditure. Any income concept - current, normal, or permanent, for example - is acceptable for the ELES developed from the atemporal maximization.     

The dynamic effects of general purpose technologies on Schumpeterian growth

General purpose technologies (GPTs) are drastic innovations characterized by pervasiveness in use and innovational complementarities. The dynamic effects of a GPT are analyzed within a quality-ladders model of scale-invariant Schumpeterian growth. The diffusion path of a GPT across a continuum of industries is governed by S-curve dynamics. The model generates a unique, saddle-path long-run equilibrium. Along the transition path, the measure of industries that adopt the new GPT increases, consumption per capita falls, and the interest rate rises. The growth rate of the stock market depends negatively on the rate of GPT diffusion and the magnitude of the GPT-ridden R&D productivity gains; and positively on the rate of population growth. It also follows a U-shaped path during the diffusion process of the new GPT. Finally, the model generates transitional growth cycles of per capita GNP.JEL Classification: E3, O3, O4I would like to thank Elias Dinopoulos for encouragement, and for constructive comments and suggestions. I would also like to thank David Figlio, Douglas Waldo, Steven Slutsky and participants in the 9th Biennial Congress of the International Schumpeter Society for useful discussions and suggestions. Any remaining errors are my own responsibility.     

Social norms and the indirect evolution of conditional cooperation

We develop a model of social norms and cooperation in large societies. Within this framework we use an indirect evolutionary approach to study the endogenous formation of preferences and the co-evolution of norm compliance. The multiplicity of equilibria, which emerges in the presence of social norms, is linked to the evolutionary analysis: individuals face situations where many others cooperate as well as situations where a majority free-rides. The evolutionary adaptation to such heterogenous environments favors conditional cooperators, who condition their pro-social behavior on the others’ cooperation. As conditional cooperators react flexibly to their social environment, they dominate free-riders as well as unconditional cooperators.     

A dynamic model of advertising by the regulated firm

A profit-maximizing firm subject to price regulation typically seeks alternative variables to control if the regulatory constraint is binding. Advertising may be one such variable. By shifting the demand curve inward or outward between rate hearings, the firm may increase its earnings above the allowed level. Here, a simple discrete-time optimal-control model is proposed to examine the dynamic implications of advertising by the regulated firm. Our results indicate that, in the long run, the combined effect of regulation and advertising leads to a steady-state equilibrium that is closer to the minimum point on the firm's long-run average-cost curve than the original output level. Thus, an invisible-hand property is established that pushes the regulated firm to shift its demand curve toward the minimum point on its long-run average-cost curve in the presence of regulation. As a result, the well-known allocative inefficiency created by rate-of-return regulation (PMC), on which so much has been written over the past 100 years, is reduced (and, under certain conditions, eliminated) if the regulated firm is allowed to advertise.     

Identification and estimation of thresholds in the fixed effects ordered logit model

This paper proposes a new estimator for the fixed effects ordered logit model. In contrast to existing methods, the new procedure allows estimating the thresholds. The empirical relevance and simplicity of implementation is illustrated in an application on the effect of unemployment on life satisfaction.     

Distributing scarce jobs and output: experimental evidence on the dynamic effects of rationing

How does the allocation of scarce jobs and production influence their supply? We present the results of a macroeconomics laboratory experiment that investigates the effects of alternative rationing schemes on economic stability. Participants play the role of worker-consumers who interact in labor and output markets. All output, which yields a reward to participants, must be produced through costly labor. Automated firms hire workers to produce output so long as there is sufficient demand for all production. In every period either output or labor hours are rationed. Random queue, equitable, and priority (i.e., property rights) rationing schemes are compared. Production volatility is the lowest under a priority rationing rule and is significantly higher under a scheme that allocates the scarce resource through a random queue. Production converges toward the steady state under a priority rule, but can diverge to significantly lower levels under a random queue or equitable rule where there is the opportunity for and perception of free-riding. At the individual level, rationing in the output market leads consumer-workers to supply less labor in subsequent periods. A model of myopic decision-making is developed to rationalize the results.     

The dynamic effects of tax policies in a small open economy

We develop an intertemporal optimizing model of a small open economy with both durable and nondurable consumption to address the implications of alternative tax policies. An increase in lump sum taxes reduces the steady state level of consumption and improves the stock of foreign bonds. Consistent with empirical evidence, durable consumption exhibits initial excess volatility. Though an increase in the tax on durables increases the demand for nondurables and improves the bond holdings in the steady state, an increase in the tax on nondurables has insignificant effects on the stock of foreign bonds and the consumption of durables. Using quarterly data from the UK and estimating generalized impulse response functions we find empirical support. We also calibrate the welfare implications of different tax policies.     

Decomposing changes in the conditional variance of GDP over time

A well established fact in the growth empirics literature is the increasing (unconditional) variation in output per capita across countries. We propose a nonparametric decomposition of the conditional variation of output per capita across countries to capture different channels over which the variation might be increasing. We find that OECD countries have experienced diminishing conditional variation while other regions have experienced increasing conditional variation. Our decomposition suggests that most of these changes in the conditional variance of output are due to unobserved factors not accounted for by the traditional growth determinants. In addition to this we show that these factors played very different roles over time and across regions.     

独立董事难独立的症结分析及对策

独立董事"不独立"是证券市场上始终困扰上市公司发展的一个问题,症结在于制度设计与安排上的缺陷.为此,应该有针对性地采取多方面的配套措施,以完善独立董事制度.     

On the dynamic effects of using hired labor in the Kibbutz—theory and case studies

This study analyzes the effect of employing hired labor in the Kibbutz. The main motivations are the premises contained in the newly emerging “The Change” or “The New Kibbutz” approach. Using the traditional LMF model with heterogeneous labor, we show that, although using hired labor will improve the economic situation of the Kibbutz in the short-run, in the long-run Kibbutz membership will consist of only those types of labor to which the “Self Labor” principle applies.     

On the optimality of privacy in sequential contracting

This paper studies the exchange of information between two principals who contract sequentially with the same agent, as in the case of a buyer who purchases from multiple sellers. We show that when (a) the upstream principal is not personally interested in the downstream level of trade, (b) the agent's valuations are positively correlated, and (c) preferences in the downstream relationship are separable, then it is optimal for the upstream principal to offer the agent full privacy. On the contrary, when any of these conditions is violated, there exist preferences for which disclosure is strictly optimal, even if the downstream principal does not pay for the information. We also examine the effects of disclosure on welfare and show that it does not necessarily reduce the agent's surplus in the two relationships and in some cases may even yield a Pareto improvement.     

Water allocation by social choice rules: The case of sequential rules

This paper considers the problem of allocating shares of irrigation water to different agricultural agents with single-peaked preferences with respect to their own shares. We define two different sequential allocation rules that respect the asymmetry between the agents and maintain the properties of Pareto efficiency and strategy-proofness, and we design a specific algorithm to apply these rules. The results of the empirical application of these rules for the case of an irrigated area located in the Ebro Basin (Spain) show that the designed sequential rules are able to substantially improve the efficiency of the currently applied proportional rule in context of severe scarcity of water and/or high administrative water prices.