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0901
Projecting Long-term Health Care Expenditures: A Theoretically Consistent Demand System Approach
Andrew J. Rettenmaier
Private Enterprise Research Center
Texas A&M University

Zijun Wang
Private Enterprise Research Center
Texas A&M University

Forecasts of future health care spending as a percentage of GDP are derived based on parameter estimates from a five equation demand system model. The forecasts are in line with other forecasts made by the Congressional Budget Office (CBO) and the Centers for Medicare and Medicaid Services (CMS) for the next three decades but are lower thereafter. All of the forecasts imply reductions in the shares of other sectors of GDP. The approach taken here explicitly forecasts the other sectors along with the forecasts of the health care sector and produces an increase in the percentage of personal consumption expenditures to 88 percent of GDP by 2082 from 70 percent today. The crowding out of investment, government consumption, and net exports implied by the forecasts calls into question the long-range compatibility of the GDP forecasts and the consumption forecasts beyond a 10 to 12 year horizon. Given that the approach taken here produces a smaller health care sector in the long run than is projected by either the CBO or the CMS, the sustainability of these forecasts is also uncertain.
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0902
How Much and How Often: A Model of Repeated Consumption with Endogenous consumption Frequency
Liqun Liu
Andrew J. Rettenmaier
Thomas R. Saving
Private Enterprise Research Center
Texas A&M University

We develop a model of consumption of “repeated goods” in which individuals choose both consumption frequency and intensity in response to income, per-unit price and setup cost. Our modeling produce some interesting results, such as increased setup costs reduce frequency and increase intensity, and the effects of a setup cost increase are qualitatively different from those of a price increase or an income reduction.
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0903
Contributions and Crowd-Out of Public Goods: Competing Models and Experimental Evidence
Timothy J. Gronberg
Texas A&M University

R. Andrew Luccasen
Mississippi State University

Theodore L. Turocy
Texas A&M University

John B. Van Huyck
Texas A&M University

We report the results of a voluntary contributions mechanism (VCM) public good game designed to distinguish among four major competing models of behavior. A new user interface and implementation of a tax are introduced to focus attention on the effect that a government contribution to a public good financed by lump-sum taxes has on voluntary contributions. We observe contributions greater than the individually rational and own-money motivated amount, as well as incomplete crowd-out of the government policy. These observations are consistent with a warm-glow model with a logit decision error. Analysis of individual-level observations provides evidence of different player types.
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0904
Forecasting Industrial Production: Gains from Disaggregating
Dennis Jansen
Texas A&M University

Dandan Liu
Kent State University

We investigate the idea of using information in subcomponents to improve forecasts of aggregates, as applied to the growth rate of industrial production. Our work is related to the recent macroeconomic forecasting literature that looks at the usefulness of summarizing information in large datasets by estimating common factors, but in our case we summarize information contained in a dataset of subcomponents of the series to be forecast. We consider a number of alternative models, and we conduct a simulated out-of-sample forecasting exercise to compare forecasts to those of a benchmark univariate AR model at forecast horizons ranging from 1 month to 24 months. We find that the best forecasting model is one that forecasts the subcomponents of IP and aggregates them using the actual weights of the subcomponents in IP from the date the forecasts are made. This result holds over all horizons, and it holds not only in our preferred increasing-window forecasts but also generally holds for our fixed-window forecasts as well.
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0905
Residential Mobility, Neighborhood Effects, and Educational Attainment of Blacks and Whites
Li Gan
Texas A&M University

Yingning Wang
Texas A&M University

This paper proposes a new model to identify if and how much the educational attainment gap between blacks and whites is due to the difference in their neighborhoods. In this model, individuals belong to two unobserved types: the endogenous type who may move in response to the neighborhood effect on their education; or the exogenous type who may move for reasons unrelated to education. The Heckman sample selection model becomes a special case of the current model in which the probability of one type of individuals is zero. Although we cannot find any significant neighborhood effect in the usual Heckman sample selection model, we do find heterogeneous effects in our type-consistent model. In particular, there is a substantial neighborhood effect for the movers who belong to the endogenous type. No significant effects exist for other groups. We also find that the endogenous type has more education and moves more often than the exogenous type. On average, we find that the neighborhood variable, the percentage of high school graduates in the neighborhood, accounts for about 37.7% of the education gap between blacks and whites.
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0906
The Adequacy of Educational Cost Functions: Lessons from Texas
Timothy J. Gronberg
Department of Economics
Texas A&M University

Dennis W. Jansen
Department of Economics
Texas A&M University

Lori L. Taylor
The Bush School of Government and Public Service
Texas A&M University

Adequacy studies based on cost functions have come under attack. A recent Texas court battle featured two cost function studies that reached markedly different conclusions as to the required level of public funding to meet required performance standards. Some critics see such disparities as indicators of a general futility in the whole education cost function enterprise. We argue that the more appropriate conclusion is that it is critically important to demand best-practice techniques from any analyst of educational costs. This paper uses the Texas litigation studies as a lens through which to explore best practices in the estimation of educational cost functions. The analysis highlights five key decisions that researchers must make when using the cost function methodology in an educational setting, and explores the implications of the various possible choices using recent data on public schools in Texas. As the analysis demonstrates, some common practices in cost function analyses of education are not best practices, and these deviations from best practice can have a significant impact on the estimated cost of an adequate education.
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0907
Sectoral Effects of Monetary Policy: The Evidence from Publicly Traded Firms
Dennis W. Jansen
Texas A&M University

Ruby P. Kishan
Texas State University-San Marcos

Diego E. Vacaflores
Texas State University-San Marcos

This paper examines the impact of monetary policy on net sales of publicly traded firms in various sectors of the U.S. economy. We explore the cross-industry heterogeneity of monetary policy effects and investigate whether firm’s balance-sheet characteristics might explain these varied monetary policy effects. We find that monetary policy has a heterogeneous impact on firms in different industries, with the strongest effect on firms in Retail and in Wholesaling (both Durables and Non-Durables). We also find evidence in support of the credit channel of monetary transmission mechanism. In particular, we find that size of the firm matters. Larger firms in Manufacturing, Manufacturing of Durables, Retail, Wholesale Durables, Construction, and possibly in Manufacturing of Non-Durables and Wholesale Non-Durables are able to mitigate the adverse impact of contractionary monetary policy. The results also show that for some industries the short term debt ratio, leverage, or the working capital ratio may explain better the operation of the credit channel.
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0908
Relationship Banking and Escalation of Commitment
Eugene Kang
Nanyang Technological University

Asghar Zardkoohi
Texas A&M University

Ramona L. Paetzold
Texas A&M University

Donald Fraser
Texas A&M University

The relationship banking literature suggests that business relationships play an important role in the loan decisions of small banks. We draw from three separate streams of literature (i.e., relationship banking, escalation of commitment, and rural sociology) to hypothesize that county population size is negatively associated with escalation of commitment to bad loans because of the relationships that small banks develop with their customers. We assembled a cross-sectional panel data of small banks located in Texas from 1994 to 2002. We used a random-effects model and found that small banks located in smaller counties escalate their commitment to bad loans when compared with those located in larger counties. The results highlight the need for small banks to trade-off the positive benefits of adopting a relationship banking strategy against its unintended negative consequence. We provide some suggestions on how small banks may lessen their escalation tendencies despite adopting a relationship banking strategy.
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0909
Eureka Learning: Heuristics and Response Time in Perfect Information Games
C. Nicholas McKinney Jr.
Rhodes College

John B. Van Huyck
Texas A&M University

This paper investigates behavior in two outcome, strictly competitive, extensive form games of perfect information without chance moves. We find that subjects behave as if they use backwards induction to solve games of around rank 5 or less, but rely on heuristics in order to solve more complicated games. When playing against a procedurally rational algorithm in a game that cannot be solved using heuristics, the response time is not correlated with the probability of winning. However, spending more time thinking about a game that can be solved with a heuristic decreases the probability that a subject wins the game.
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0910
Incentives of Corporate Donations After the Wenchuan Earthquake in China
Li Gan
Texas A&M University

Liwei Shan
Research Institute of Economics and Management
Southwestern University of Finance and Economics

This paper suggests using a firm’s product type to distinguish the firm’s two incentives to donate. A consumer-oriented firm is more likely to donate than other firms if the donation is value-enhancing, but donations should not differ by product types if a firm maximizes its management utility. Further, the paper proposes an empirical model that jointly considers a firm’s decisions on how much to donate and whether to announce its donation, as well as the endogeneity problem caused by the possible errors when assigning the firm to be consumer-oriented. The model is estimated using donation information from all publicly traded firms in China after the Wenchuan Earthquake in May 2008. We find that consumer-oriented firms are much more likely to donate, and donate more than twice as much as other firms.
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