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Creator: Kehoe, Timothy J. and Prescott, Edward C. Series: Staff Report (Federal Reserve Bank of Minneapolis. Research Dept.) Number: 418 Abstract:
Three of the arguments made by Temin (2008) in his review of Great Depressions of the Twentieth Century are demonstrably wrong: that the treatment of the data in the volume is cursory; that the definition of great depressions is too general and, in particular, groups slow growth experiences in Latin America in the 1980s with far more severe great depressions in Europe in the 1930s; and that the book is an advertisement for the real business cycle methodology. Without these three arguments — which are the results of obvious conceptual and arithmetical errors, including copying the wrong column of data from a source — his review says little more than that he does not think it appropriate to apply our dynamic general equilibrium methodology to the study of great depressions, and he does not like the conclusion that we draw: that a successful model of a great depression needs to be able to account for the effects of government policy on productivity.
In 2008, Peter Temin wrote a review of the book that appeared in the Journal of Economic Literature. This staff report and accompanying data file are in response to the review.
Citation for review: Temin, Peter. 2008. "Real Business Cycle Views of the Great Depression and Recent Events: A Review of Timothy J. Kehoe and Edward C. Prescott's Great Depressions of the Twentieth Century." Journal of Economic Literature, 46 (3): 669-84. DOI: https://doi.org/10.1257/jel.46.3.669
Creator: Ueberfeldt, Alexander Descrizione:
Data supporting the chapter "Prosperity and Depression." The file Ely-Sources.xls contains the original data and constructed series used to generate the Tables 1 to 6 and the Figures 1 to 3. Each of the nine objects has its own worksheet in the file. For example the worksheet that contains series used to generate figure 1 in the paper, is entitled Fig 1. In each worksheet, original series are labeled On and constructed series are labeled Cn. Constructed series Cn are obtained from the original and/or other constructed series in the respective worksheet.
Creator: Rich, Robert W., 1958- and Tracy, Joseph S., 1956- Series: Joint committee on business and financial analysis Abstract:
This paper examines data on point and probabilistic forecasts of inflation from the Survey of Professional Forecasters. We use this data to evaluate current strategies for the empirical modeling of forecast behavior. In particular, the analysis principally focuses on the relationship between ex post forecast errors and ex ante measures of uncertainty in order to assess the reliability of using proxies based on predictive accuracy to describe changes in predictive confidence. After we adjust the data to account for certain features in the conduct and construct of the survey, we find a significant and robust correlation between observed heteroskedasticity in the consensus forecast errors and forecast uncertainty. We also document that significant compositional effects are present in the data that are economically important in the case of forecast uncertainty, and may be related to differences in respondents' access to information.
Parola chiave: Forecasting, Inflation, Uncertainty, Disagreement, and Conditional heteroskedasticity Soggetto: C12 - Econometric and statistical methods : General - Hypothesis testing, C22 - Single equation models ; Single variables - Time-series models ; Dynamic quantile regressions, and E37 - Prices, business fluctuations, and cycles - Forecasting and simulation
Creator: Perri, Fabrizio. and Quadrini, Vincenzo. Series: Great depressions of the twentieth century Abstract:
We analyze the Italian economy in the interwar years. In Italy, as in many other countries, the years immmediately after 1929 were characterized by a major slowdown in economic activity as non farm output declined almost 12. We argue that the slowdown cannot be explained solely by productivity shocks and that other factors must have contributed to the depth and duration of the the 1929 crisis. We present a model in which trade restrictions together with wage rigidities produce a slowdown in economic activity that is consistent with the one observed in the data. The model is also consistent with evidence from sectorial disaggregated data. Our model predicts that trade restrictions can account for about 3/4 of the observed slowdown while wage rigidity (monetary shocks) can account for the remaining fourth.
Parola chiave: Depressions, Trade restrictions, Italy, and Wage rigidity Soggetto: N14 - Macroeconomics and monetary economics ; Growth and fluctuations - Europe : 1913- and E32 - Prices, business fluctuations, and cycles - Business fluctuations ; Cycles
Creator: Laitner, John. Series: Productivity and the industrial revolution Abstract:
This paper presents a model in which a country's average propensity to save tends to rise endogenously over time. The paper uses a two-sector neoclassical framework to model the transition from agriculture to manufacturing which typically accompanies economic development. Key assumptions are that only the agricultural sector uses land and a simple version of Engel's law. When a country's income per capita is low, agricultural consumption is important; consequently, land is valuable and capital gains on it may account for most wealth accumulation, making the NIPA APS appear low. If exogenous technological progress raises incomes over time, Engel's law shifts demand to manufactured goods. Then land's importance in portfolios relative to reproducible capital diminishes and the measured average propensity to save can rise.
Parola chiave: Manufacturing, Growth, and Economic growth Soggetto: O14 - Economic development - Industrialization ; Manufacturing and service industries ; Choice of technology and O41 - One, Two, and Multisector Growth Models
Creator: Galor, Oded, 1953- and Weil, David N. Series: Productivity and the industrial revolution Abstract:
This paper develops a unified model of growth, population, and technological progress that is consistent with long-term historical evidence. The economy endogenously evolves through three phases. In the Malthusian regime, population growth is positively related to the level of income per capita. Technological progress is slow and is matched by proportional increases in population, so that output per capita is stable around a constant level. In the post-Malthusian regime, the growth rates of technology and total output increase. Population growth absorbs much of the growth of output, but income per capita does rise slowly. The economy endogenously undergoes a demographic transition in which the traditionally positive relationship between income per capita and population growth is reversed. In the Modern Growth regime, population growth is moderate or even negative, and income per capita rises rapidly. Two forces drive the transitions between regimes: First, technological progress is driven both by increases in the size of the population and by increases in the average level of education. Second, technological progress creates a state of disequilibrium, which raises the return to human capital and induces parents to substitute child quality for quantity.
Parola chiave: Technological change, Malthusian, Growth, Development, Demographics, Demographic transition, Fertility, and Population Soggetto: O11 - Economic development - Macroeconomic analyses of economic development, J13 - Demographic economics - Fertility ; Family planning ; Child care ; Children ; Youth, O40 - Economic growth and aggregate productivity - General, and O33 - Technological change ; Research and development - Technological change : Choices and consequences ; Diffusion processes
Creator: Diebold, Francis X., 1959- and Schuermann, Til. Series: Simulation-based inference in econometrics Abstract:
The possibility of exact maximum likelihood estimation of many observation-driven models remains an open question. Often only approximate maximum likelihood estimation is attempted, because the unconditional density needed for exact estimation is not known in closed form. Using simulation and nonparametric density estimation techniques that facilitate empirical likelihood evaluation, we develop an exact maximum likelihood procedure. We provide an illustrative application to the estimation of ARCH models, in which we compare the sampling properties of the exact estimator to those of several competitors. We find that, especially in situations of small samples and high persistence, efficiency gains are obtained.
Parola chiave: Econometrics, Observation-driven models, ARCH models, Estimation, and Exact maximum likelihood estimation Soggetto: C22 - Single equation models ; Single variables - Time-series models ; Dynamic quantile regressions