The Tradeoff Between Redistribution and Effort: Evidence from the Field and from the Lab
Claudia M. Buch, C. Engel
Max Planck Institute for Research on Collective Goods Working Paper,
Nr. 10,
2012
Abstract
We use survey and experimental data to explore how effort choices and preferences for redistribution are linked. Under standard preferences, redistribution would reduce effort. This is different with social preferences. Using data from the World Value Survey, we find that respondents with stronger preferences for redistribution tend to have weaker incentives to engage in effort, but that the reverse does not hold true. Using a lab experiment, we show that redistribution choices even increase in imposed effort. Those with higher ability are willing to help the needy if earning income becomes more difficult for everybody.
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The Halle Economic Projection Model
Sebastian Giesen, Oliver Holtemöller, Juliane Scharff, Rolf Scheufele
Economic Modelling,
Nr. 4,
2012
Abstract
In this paper we develop an open economy model explaining the joint determination of output, inflation, interest rates, unemployment and the exchange rate in a multi-country framework. Our model -- the Halle Economic Projection Model (HEPM) -- is closely related to studies published by Carabenciov et al. Our main contribution is that we model the Euro area countries separately. In doing so, we consider Germany, France, and Italy which represent together about 70 percent of Euro area GDP. The model combines core equations of the New-Keynesian standard DSGE model with empirically useful ad-hoc equations. We estimate this model using Bayesian techniques and evaluate the forecasting properties. Additionally, we provide an impulse response analysis and a historical shock decomposition.
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An Evolutionary Algorithm for the Estimation of Threshold Vector Error Correction Models
Makram El-Shagi
International Economics and Economic Policy,
Nr. 4,
2011
Abstract
We develop an evolutionary algorithm to estimate Threshold Vector Error Correction models (TVECM) with more than two cointegrated variables. Since disregarding a threshold in cointegration models renders standard approaches to the estimation of the cointegration vectors inefficient, TVECM necessitate a simultaneous estimation of the cointegration vector(s) and the threshold. As far as two cointegrated variables are considered, this is commonly achieved by a grid search. However, grid search quickly becomes computationally unfeasible if more than two variables are cointegrated. Therefore, the likelihood function has to be maximized using heuristic approaches. Depending on the precise problem structure the evolutionary approach developed in the present paper for this purpose saves 90 to 99 per cent of the computation time of a grid search.
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Modelling Country Default Risk as a Latent Variable: A Multiple Indicators Multiple Causes Approach
A. Bühn, Stefan Eichler, Dominik Maltritz
Applied Economics,
Nr. 36,
2012
Abstract
We study the determinants of country default risk by applying a Multiple Indicators Multiple Causes (MIMIC) model. This accounts for the fact that country default risk is an unobservable variable. Whereas existing (regression-based) approaches typically use only one of several possible country default risk indicators as the dependent variable, the MIMIC model enables us to consider several indicators at once. The simultaneous consideration of sovereign yield spreads and Standard and Poor (S&P) ratings may help to improve the identification of the latent country default risk. Our results confirm most of the literature's main findings regarding important determinants of country default risk, refute others and provide new evidence to controversial questions.
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The Quantity Theory Revisited: A New Structural Approach
Makram El-Shagi, Sebastian Giesen
Abstract
While the long run relation between money and inflation is well established, empirical evidence on the adjustment to the long run equilibrium is very heterogeneous. In this paper we show, that the development of US consumer price inflation between 1960Q1 and 2005Q4 is strongly driven by money overhang. To this end, we use a multivariate state space framework that substantially expands the traditional vector error correction approach. This approach allows us to estimate the persistent components of velocity and GDP. A sign restriction approach is subsequently used to identify the structural shocks to the signal equations of the state space model, that explain money growth, inflation and GDP growth. We also account for the possibility that measurement error exhibited by simple-sum monetary aggregates causes the consequences of monetary shocks to be improperly identified by using a Divisia monetary aggregate. Our findings suggest that when the money is measured using a reputable index number, the quantity theory holds for the United States.
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Smuggling Illegal versus Legal Goods across the U.S.-Mexico Border: A Structural Equations Model Approach
A. Buehn, Stefan Eichler
Southern Economic Journal,
Nr. 2,
2009
Abstract
We study the smuggling of illegal and legal goods across the U.S.-Mexico border from 1975 to 2004. Using a Multiple Indicators Multiple Causes (MIMIC) model we test the microeconomic determinants of both smuggling types and reveal their trends. We find that illegal goods smuggling decreased from $116 billion in 1984 to $27 billion in 2004 as a result of improved labor market conditions in Mexico and intensified U.S. border enforcement. Smuggling legal goods is motivated by tax and tariff evasion. While export misinvoicing fluctuated at low levels, import misinvoicing switched from underinvoicing to overinvoicing after Mexico's accession to the GATT and the North American Free Trade Agreement (NAFTA) induced lower tariffs.
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Estimating multiple equation hybrid models with endogenous dummy regressors
Joachim Wilde
Statistica Neerlandica,
Nr. 58,
2004
Abstract
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The Distance Puzzle: On the Interpretation of the Distance Coefficient in Gravity Equations
Claudia M. Buch, J. Kleinert, Farid Toubal
Economics Letters,
Nr. 3,
2004
Abstract
Although globalization has diminished the importance of distance, empirical gravity models find little change in distance coefficients. We argue that changing distance costs are largely reflected in the constant term. A proportional fall in distance costs is consistent with constant distance coefficients.
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A macroeconometric model for the Euro economy
Christian Dreger
IWH Discussion Papers,
Nr. 181,
2003
Abstract
In this paper a structural macroeconometric model for the Eurozone is presented. In opposite to the multi country modelling approach, the model relies on aggregate data on the supra-national level. Due to nonstationarity, all equations are estimated in an error correction form. The cointegrating relations are derived jointly with the short-run dynamics, avoiding the finite sample bias of the two step Engle Granger procedure. The validity of the aggregated approach is confirmed by out-of-sample forecasts and two simulation exercises. In particular the implications of a lower economic recovery in the US and a shock in the nominal Euro area interest rate are discussed.
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