Journal Article Welfare Economics and the Theory of Second Best Get access Otto A. Davis, Otto A. Davis Carnegie Institute of Technology Search for other works by this author on: Oxford Academic Google Scholar Andrew B. Whinston Andrew B. Whinston University of Virginia Search for other works by this author on: Oxford Academic Google Scholar The Review of Economic Studies, Volume 32, Issue 1, January 1965, Pages 1–14, https://doi.org/10.2307/2296327 Published: 01 January 1965

This paper shows that the outcome of trade wars for tariffs and welfare will be affected by the monetary policy regime. The key message is that trade policy interacts with monetary policy in a way that magnifies the welfare costs of discretionary monetary policy in an international setting. If countries follow monetary policies of flexible inflation targeting, trade wars are relatively mild, with low equilibrium tariffs and small welfare costs. Discretionary monetary policies imply much higher tariffs, high inflation rates, and substantially larger welfare costs. We quantify the effects of a global trade war among major economies using estimates of trade elasticities, economic size, net foreign assets, and trade openness. We find large welfare benefits of an inflation targeting monetary policy for all countries.

We present a revealed preference methodology for empirically analysing collective consumption behaviour. First, we introduce an integer programming (IP) methodology for testing data consistency with collective consumption models that account for publicly as well as privately consumed goods. This IP methodology can include information on “assignable quantities” for private goods. Next, we show that the IP methodology allows for recovering the personalized (Lindahl) prices for the public goods and the personalized quantities for the private goods. In turn, this implies recovery of the sharing rule (i.e. personalized income share levels). An empirical application demonstrates the practical usefulness of the methodology.

This paper studies the asymptotic properties of instrumental variable (IV) estimates of multivariate cointegrating regressions and allows for deterministic and stochastic regressors as well as quite general deterministic processes in the data-generating mechanism. It is found that IV regressions are consistent even when the instruments are stochastically independent of the regressors. This phenomenon, which contrasts with traditional theory for stationary time series, is a beneficial artifact of spurious regression theory whereby stochastic trends in the instruments ensure their relevance asymptotically. Problems of inference are also addressed and some promising new theoretical results are reported. These involve a class of Wald tests which are modified by semiparametric corrections for serial correlation and for endogeneity. The resulting test statistics which we term fully-modified Wald tests have limiting X2 distributions, thereby removing the obstacles to inference in cointegrated systems that were presented by the nuisance parameter dependencies in earlier work. Some simulation results are reported which seek to explore the sampling behaviour of our suggested procedures. These simulations compare our fully modified (semiparametric) methods with the parametric error-correction methodology that has been extensively used in recent empirical research and with conventional least squares regression. Both the fully-modified and errorcorrection methods work well in finite samples and the sampling performance of each procedure confirms the relevance of asymptotic distribution theory, as distinct from super-consistency results, in discriminating between statistical methods.

This paper develops a general asymptotic theory of regression for processes which are integrated of order one. The theory includes vector autoregressions and multivariate regressions amongst integrated processes that are driven by innovation sequences which allow for a wide class of weak dependence and heterogeneity. The models studied cover cointegrated systems such as those advanced recently by Granger and Engle and quite general linear simultaneous equations systems with contemporaneous regressor error correlation and serially correlated errors. Problems of statistical testing in vector autoregressions and multivariate regressions with integrated processes are also studied. It is shown that the asympotic theory for conventional tests involves major departures from classical theory and raises new and important issues of the presence of nuisance parameters in the limiting distribution theory.

P. K. Trivedi, B. M. S. Lee; Seasonal Variability in a Distributed Lag Model, The Review of Economic Studies, Volume 48, Issue 3, 1 July 1981, Pages 497–505, ht

John A. Carlson, Terrence B. O'Keefe; Buffer Stocks and Reaction Coefficients: An Experiment with Decision Making under Risk1, The Review of Economic Studi

This article develops a dynamic asset pricing model with persistent heterogeneous beliefs. The model features competitive traders who receive idiosyncratic signals about an underlying fundamentals process. We adapt Futia's (1981) frequency domain methods to derive conditions on the fundamentals that guarantee non-invertibility of the mapping between observed market data and the underlying shocks to agents' information sets. When these conditions are satisfied, agents remain asymmetrically informed in equilibrium and must ‘forecast the forecasts of others’. An econometrician, who incorrectly imposes a homogeneous beliefs equilibrium, will find that the asset price displays violations of variance bounds, predictability of excess returns, and rejections of cross-equation restrictions.

This paper presents new identifiability conditions for the Cox proportional hazard model for duration data when unobserved person specific variables are present. We compare our conditions with those presented by Elbers and Ridder. We also present identifiability conditions for a rich class of parametric hazard models without regressor variables.

B. Fine, K. Fine; Social Choice and Individual Rankings II12, The Review of Economic Studies, Volume 41, Issue 4, 1 October 1974, Pages 459–475, https://do