Using Leading Indicators to Forecast U.S. Home Sales in a Bayesian Vector Autoregressive Framework

This article uses Bayesian vector autoregressive models to examine the usefulness of leading indicators in predicting U.S. home sales. The benchmark Bayesian model includes home sales, price of homes, mortgage rate, real personal disposable income, and unemployment rate. We evaluate the forecasting performance of six alternative leading indicators by adding each, in turn, to the benchmark model. Out-of-sample forecast performance over three periods shows that the model that includes building permits authorized consistently produces the most accurate forecasts. Thus, the intention to build in the future provides good information with which to predict U.S. home sales. Another finding suggests that leading indicators with longer leads outperform the short-leading indicators.     

BUDGET DEFICITS, DOMESTIC INVESTMENT, AND TRADE DEFICITS

This paper summarizes recent empirical studies on the effects of budget deficits on interest rates, investment, and trade deficits in the United States. It also reports new evidence on the effects of budget deficits on investment and on trade deficits for the 1980s. The results support the view that budget deficits crowd out domestic investment and increase trade deficits.     

Determinants of labour productivity: Comparison between developing and developed countries of Asia‐Pacific

The current study investigates the trends in labour productivity of the major developing and developed economies of the Asia‐Pacific region and examines its determinants over the period 1980–2014. The study analyses capital deepening, human capital, technology, share of agriculture in GDP, financial development, institutional quality, inflation as well as macroeconomic variables as potential determinants of productivity, and identifies the differences in the impact of these factors on the productivity of developing and developed countries. Using panel cointegration and group‐mean fully modified ordinary least squares estimation, the study finds that capital deepening, human capital, technology, institutional quality and macroeconomic variables (i.e. government size and openness) are significant determinants of labour productivity of both developing and developed economies of the Asia‐Pacific region. The study further finds that while both trade openness and foreign direct investment affect productivity of developing economies positively, only trade openness has a positive and significant impact on the productivity of developed economies. The share of agriculture in GDP affects the labour productivity of developing Asia‐Pacific economies significantly but not that of developed economies. Furthermore, capital deepening has a much higher impact on the productivity of developing Asia‐Pacific economies than that of developed economies.     

Estimating the public's social preference function between inflation and unemployment using survey data: The survey research center versus Gallup

Economists often use Gallup Poll data on presidential performance to analyze the interaction between politics and the state of the macroeconomy. The household survey undertaken by the Survey Research Center (SRC) of the University of Michigan provides an alternative data base. The SRC asks respondents about the government's performance specifically with respect to inflation and unemployment. We compare whether the Gallup or SRC data are the more useful for estimating the public's social preference function between inflation and unemployment for the Carter, Reagan, Bush and Clinton presidencies. The estimates that use Gallup Poll data are unsatisfactory because for two of the periods the coefficients of inflation and unemployment are not well estimated and for one period there is serial correlation of the residuals. The estimates using the SRC data set are satisfactory and the results are consistent with economic theory. We conclude that a researcher using survey data to estimate the public's reaction to varying rates of inflation and unemployment should prefer the SRC series when it is available. First version received: October 1995/final version received: July 1998     

Macroeconomic Modelling and Bayesian Methods

This paper discusses the evolution of macroeconomic modelling. In particular, it focuses on Bayesian methods and provides some applications of the Bayesian Vector Autoregression methods to the Indian economy.

     

Structural change in the United States' social preference function, 1953–88

Many studies have used Gallup Poll data to estimate the relationship between presidential popularity, and inflaion and unemployment. Typically these estimates are made over the terms of several presidents. The only time-varying effect included in these studies is an intercept dummy. No account is taken of the possibility that there may be changes in the positions or slope of the indifference curves between inflation nd unemployment. Within this paper, we estimate the US public's social preference function between inflation and unemployment as a quadratic within a sets of equations framework. A series of F-tests leads us to believe that there is structural change in the economic variables as well as in the intercepts over time. Thus, estimating each administration individually or in the sets of equations format is superior to constraining slope coefficients to be equal across administrations by simply estimating the function over the entire time period. We hypothesize that the public has become somewhat more accustomed to high rates of inflation; this hypothesis is consistent with the observed changes in the social preference function.