ACCOUNTING FOR HETEROGENEITY, DIVERSITY AND GENERAL EQUILIBRIUM IN EVALUATING SOCIAL PROGRAMS

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NBER WORKING PAPER SERIES ACCOUNTING FOR HETEROGENEITY, DIVERSITY AND GENERAL EQUILIBRIUM IN EVALUATING SOCIAL PROGRAMS James J. Heckman Working Paper 7230 http://www.nber.org/papers/w7230 NATIONAL BUREAU OF ECONOMIC RESEARCH 1050 Massachusetts Avenue Cambridge, MA 02138 July 1999 This paper was prepared for an AEI conference, “The Role of Inequality in Tax Policy,” January 21-22, 1999 in Washington, D.C. I am grateful to Christopher Taber for help in conducting the tax simulations, and to Jeffrey Smith for help in analyzing the job training data. This paper draws on joint work with Lance Lochner, Christopher Taber, and Jeffrey Smith as noted in the text. I am grateful for comments received from Lars Hansen, Kevin Hassett, Louis Kaplow, and Michael Rothschild. This research was supported by NSF-SBR93/21/048, NSF 97-09-873, and a grant from the Russell Sage Foundation. All opinions expressed are those of the authors and not those of the National Bureau of Economic Research. © 1999 by James J. Heckman. All rights reserved. Short sections of text, not to exceed two paragraphs, may be quoted without explicit permission provided that full credit, including © notice, is given to the source. Accounting For Heterogeneity, Diversity and General Equilibrium In Evaluating Social Programs James J. Heckman NBER Working Paper No. 7230 July 1999 JEL No. C31 ABSTRACT This paper considers the problem of policy evaluation in a modern society with heterogeneous agents and diverse groups with conflicting interests. Several different approaches to the policy evaluation problem are compared including the approach adopted in modern welfare economics, the classical representative agent approach adopted in macroecononomics and the microeconomic treatment effect approach. A new approach to the policy evaluation problem is developed and applied that combines and extends the best features of these earlier approaches.Evidence on the importance of heterogeneity is presented. Using an empirically based dynamic general equilibrium model of skill formation with heterogeneous agents, the benefits of the more comprehensive approach to policy evaluation are examined in the context of examining the impact of tax reform on skill formation and the political economy aspects of such reform. A parallel analysis of tution policy is presented. James J. Heckman Dept. of Economics University of Chicago 1126 E 59th Street Chicago, IL 60637 and NBER jjh@uchicago.edu Introduction Coercive redistribution and diversity in the interests of its constituent groups are essential features of the modern welfare state. Disagreement over perceived consequences of social policy creates the demand for publically justified "objective" evaluations. If there were no coercion, redistribution and intervention would be voluntary activities and there would be no need for public justification of voluntary trades. The demand for publically documented objective evaluations of social programs arises in large part from a demand for information by rival parties in the democratic welfare state.' Since different outcomes are of interest to rival parties, a variety of criteria should be used when considering the full consequences of proposed policies. This paper examines these criteria and considers the information required to implement them. Given that heterogeneity and diversity are central to the modern state, it is surprising that the methods most commonly used for evaluating its policies do not recognize these features. The textbook econometric policy evaluation model, due to Tinbergen (1956), Theil (1961), and Lucas (1987), constructs a social welfare function for a representative agent to evaluate the consequences of alternative social policies. In this approach to economic policy evaluation, the general equilibrium effects and efficiency aspects of a policy are its important features. Heterogeneity across persons in preferences and policy outcomes are treated as second order problems and estimates of 'Indeed, as discussed by Porter (1995), the very definition of "objective" standards is often the topic of intense political debate. See also the discussion in Young (1994). 1 policy effects are based on macro time series per capita aggregates. Standard cost-benefit analysis ignores both distributional and general-equilibrim-n aspects of a policy and enmnerates aggregate costs and Lenefits at fixed prices. Harberger's paraphrase of Gertrude Stein that a dollar is a dollar is a dollar" succinctly summarizes the essential features of his approach (Harberger, 1971). Attempts to incorporate distributional "welfare weights" into cost-benefit analysis (Harberger, 1978) have an ad hoc and unsystematic character about them. In practice, these analyses usually reflect the personal preferences of the individuals conducting particular evaluations. Access to microdata facilitates the estimation of the distributional consequences of alternative policies. Yet surprisingly, the empirical micro literature focuses almost exclusively on estimating mean impacts for specific demographic groups and estimates heterogeneity in program impacts only across demographic groups. It neglects heterogeneity in responses within narrowly defined demographic categories - variation shown to be empirically important both in the literature and in the empirical analysis I present below. Microdata are no panacea, however, and they must be used in conjunction with aggregate time-series data to estimate the full general-equilibrium consequences of policies. Even abstracting from general-equilibrium considerations, the estimates produced from social experiments and the microeconometric "treatment effect" literature are not those required to conduct a proper costbenefit analysis, anless agents with identical observed characteristics respond identically to the 2 policy being evaluated; or if they do not, their participation in the program being evaluated must not depend on differences across agents in gains from the program. The estimates produced from social experiments and the treatment effect literature improve on aggregate time series methods by incorporating heterogeneity in responses to the policies in terms of observed characteristics but ignore heterogeneity in unobserved characteristics, an essential feature of the microdata from program evaluations. Unlike the macro-general-equilibrium literature, the literature on modern welfare economics (see. e.g., Sen, 1973) recognizes the diversity of outcomes produced under alternative policies but adopts a rigid posture about how the alternatives should be evaluated, invoking some form of "Veil of Ignorance" assumption as the "ethically correct" point of view. Initial positions are treated as arbitrary and redistribution is assumed to be costless. The political feasibility of a criterion is treated as a subsidiary empirical detail that should not intrude upon an "ethically correct" or "moral" analysis. In this strand of the literature, it is not uncommon to have the work of "contemporary philosophers" invoked as a source of final authority (see, e.g. Roemer, 1996), although the philosophers cited never consider the incentive effects of their "moral" positions and ignore the political feasibility of their criteria in a modern democratic welfare state where people vote on positions in partial knowledge of the consequences of policies on their personal outcomes. As noted by Jeremy Bentham (1824), appeal to authority is the lowest form of argument. Thus the appeal to philosophical authority by many economists on matters of "correct distributional 3 criteria" is both surprising and disappointing. In this essay, I question this criterion. Its anonymity postulates do not describe actual social decision making in which individuals evaluate oliies by asking whether they (or groups they are concerned about) are better off compared to a benchmark position.2 Agents know, or forecast, their positions in the distributions of outcomes under alternative policies and base their evaluations of the policies on them. From an initial base policy state, persons can at least partially predict their positions in the outcome distributions of alternative policy states. I improve on modern welfare theory by incorporating the evaluation of position-dependent outcomes into it, linking the outcomes under one policy regime to those in another. Such position-dependent outcomes are of interest to the individuals affected by the policies, to their representatives and to other parties in the democratic process. In order to make my discussion specific and useful, I consider the evaluation of human capital policies for schooling and job training. Human capital is the largest form of investment in a modern economy. Human capital involves choices at the extensive margin (schooling) and at the intensive margin (hours of job training). Differences in ability are documented to affect the outcomes of human capital decisions in important ways. The representative-agent macro-general- equilibrium paradigm is poorly suited to accommodate these features; the cost-benefit approach ignores the distributional consequences of alternative human capital policies; and the approach 2Recall Ronald Reagan's devastating rhetorical question in the 1980 campaign: "Are you better off today than you were four years ago?". 4 taken in modern welfare economics denies that it is interesting to determine how policies affect movements of individuals across the outcome distributions of alternative policy states. Using both micro-and macrodata, I establish the empirical importance of heterogeneity in the outcomes of human capital policies even conditioning on detailed individual and group charac- teristics. Using data from a social experiment evaluating a prototypical job training program, I compare evaluations under the different criteria. Theoretically important distinctions turn out to be empirically important as well and produce different descriptions of the same policy. I present an approach to policy evaluation that unites the macro-general-equilibrium approach with the approach taken in modern welfare economics. Using an empirically based generalequilibrium model that combines micro-and macrodata, I examine the distributional consequences of various tax and tuition policies. I present evidence on the misleading nature of the micro evidence produced from social experiments and the microeconomic treatment effect literature, and the incomplete character of the representative agent calculations that ignore distributional considerations entirely. The plan of this paper is as follows. I first present alternative criteria that have been proposed to evaluate social programs and consider their limitations. I propose a position-dependent criterion to evaluate policies. I then consider the information requirements of the various criteria. Not surprisingly, the more interesting criteria are also more demanding in their requirements. I consider the consequences of heterogeneity in responses to policies by agents for the success of various 5 social experiment with what is required to perform a cost-benefit analysis. There is a surprising disconnect between the two approaches when agents respond differently to the same program. I go on to consider the evidence on heterogeneity in program impacts across persons, using data from a protypical job training program. I use a variety of criteria to evaluate the same program, including revealed preference and self-assessment data and second-order stochastic-dominance com- parisons as suggested by modern welfare economics. There is a surprisingly wide discrepancy among these alternative evaluation measures. I then present an empirically based dynamic overlapping-generations general-equilibrium model fit on both micro-and macrodata that extends the pioneering analysis of Auerbach and Kotlikoff (1987) on intergenerational accounting to include human capital formation and heterogeneity in human ability. These extensions produce a framework that accounts for rising wage inequality and that can be used to evaluate alternative tax and tuition policies, including their distributional impacts. The estimates produced from the general-equilibrium framework are contrasted with those obtained from the widely used social experiment and treatment effect approaches. The contrasts are found to be substantial, casting doubt on the value of conventional methods that are 6 used to evaluate human capital policies. I. Alternative Criteria fo Eyaluating Social Programs In this section, I consider alternative criteria that have been set forth in the literature to examine the desireability of alternative policies. Define the outcome for person i in the presence of policy j to be Y and let the personal preferences of person i for outcome vector Y be denoted U1(Y). A policy effects a redistribution from taxpayers to beneficiaries, and Y represents the flow of resources to i under policy j. Persons can be both beneficiaries and tax payers. All policies considered in this paper are assumed to be feasible. In the simplest case, Y32 is net income after tax and transfers, but it may also be a vector of incomes and benefits, including provisions of in-kind services. Many criteria have been proposed to evaluate policies. Let "0" denote the no-policy state and initially abstract from uncertainty. The standard model of welfare economics postniates a social welfare function W that is defined over the utilities of the N members of society: (I-i) 47(j) = l47(U1(Y1), ..., UN(Y3N)). In the standard macroeconomic policy evaluation problem (I-i) is collapsed further to consider the welfare of a single person, the representative agent. Policy choice based on a social welfare function picks that policy j with the highest value for W(j). A leading special case is the Benthamite social welfare function: 7 (1-2) B(j) = Criteria (I-i) and (1-2) implictly assume that social preferences are defined in terms of the private preferences of citizens as expressed in terms of their own consumption. (This principle is called welfarism. See Sen, 1979.) They could be extended to allow for interdependence across persons so that the utility of person i under policy j is U(Y31, ..., Yv) for all i. Conventional cost-benefit analysis assumes that YF is scalar income and orders policies by their contribution to aggregate income: (1-3) CB(j)=. Analysts who adopt criterion (1-3) implicitly assume either that outputs can be costlessly redis- tributed among persons via a social welfare function, or else accept GNP as their measure of value for a policy. While these criteria are traditional, they are not universally accepted and do not answer all of the interesting questions of political economy or "social justice" that arise in the political arena of the welfare state. In a democratic society, politicians and advocacy groups are interested in knowing the proportion of people who benefit from policy j as compared to policy k: (1-4) 1(U()) > U(Y)), PB(j jj, k) = where "1" is the indicator function: 1(A) = 1 if A is true; 1(A) = 0 otherwise. In the median voter model, a necessary condition for j to be preferred to k is that PB(j j, k ) 1/2. Other persons concerned about "social justice" are concerned about the plight of the poor as measured 8
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