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A generalized focused information criterion for GMM (replication data)
This paper proposes a criterion for simultaneous generalized method of moments model and moment selection: the generalized focused information criterion (GFIC). Rather than... -
Realized extreme quantile: A joint model for conditional quantiles and measur...
We propose a new framework exploiting realized measures of volatility to estimate and forecast extreme quantiles. Our realized extreme quantile (REQ) combines quantile... -
Normalized CES supply systems: Replication of Klump, McAdam, and Willman (200...
The analysis of Klump, McAdam, and Willman (Review of Economics and Statistics, 2007, 89, 183-192) is replicated using alternative software. Their results are verified... -
Binary response panel data models with sample selection and self‐selection (r...
We consider estimating binary response models on an unbalanced panel, where the outcome of the dependent variable may be missing due to nonrandom selection, or there is... -
Business, housing, and credit cycles (replication data)
We use multivariate unobserved components models to estimate trend and cyclical components in gross domestic product (GDP), credit volumes, and house prices for the USA and the... -
Measuring crisis risk using conditional copulas: An empirical analysis of the...
The shipping crisis starting in 2008 was characterized by sharply decreasing freight rates and sharply increasing financing costs. We analyze the dependence structure of these... -
Do contractionary monetary policy shocks expand shadow banking? (replication ...
Using VAR models for the USA, we find that a contractionary monetary policy shock has a persistent negative impact on the level of commercial bank assets, but increases the... -
An efficient Bayesian approach to multiple structural change in multivariate ...
This paper provides a feasible approach to estimation and forecasting of multiple structural breaks for vector autoregressions and other multivariate models. Owing to conjugate... -
Identifying contagion (replication data)
Identifying contagion effects during periods of financial crisis is known to be complicated by the changing volatility of asset returns during periods of stress. To untangle... -
Multivariate choices and identification of social interactions (replication d...
This paper considers the identification of social interaction effects in the context of multivariate choices. First, we generalize the theoretical social interaction model to... -
The evolution of scale economies in US banking (replication data)
Continued consolidation of the US banking industry and a general increase in the size of banks have prompted some policymakers to consider policies that discourage banks from... -
Decomposing economic mobility transition matrices (replication data)
We present a decomposition method for transition matrices to identify forces driving the persistence of economic status across generations. The method decomposes differences... -
Predicting crude oil prices: Replication of the empirical results in “What do...
In addition to their theoretical analysis of the joint determination of oil futures prices and oil spot prices, Alquist and Kilian (Journal of Applied Econometrics, 2010, 25(4),... -
Estimating the effects of the minimum wage in a developing country: A density...
This paper proposes a framework to identify the effects of the minimum wage on the joint distribution of sector and wage in a developing country. I show how the discontinuity of... -
Estimating the distribution of welfare effects using quantiles (replication d...
This paper proposes a framework to model welfare effects that are associated with a price change in a population of heterogeneous consumers. The framework is similar to that of... -
Estimating global bank network connectedness (replication data)
We use LASSO methods to shrink, select, and estimate the high-dimensional network linking the publicly traded subset of the world's top 150 banks, 2003-2014. We characterize... -
Weak-instrument robust inference for two-sample instrumental variables regres...
Instrumental variable (IV) methods for regression are well established. More recently, methods have been developed for statistical inference when the instruments are weakly... -
Sequentially testing polynomial model hypotheses using power transforms of re...
We provide a methodology for testing a polynomial model hypothesis by generalizing the approach and results of Baek, Cho, and Phillips (Journal of Econometrics, 2015, 187,... -
Difference-in-differences when the treatment status is observed in only one p...
This paper considers the difference-in-differences (DID) method when the data come from repeated cross-sections and the treatment status is observed either before or after the... -
A sequential Monte Carlo approach to inference in multiple‐equation Markov‐sw...
Vector autoregressions with Markov-switching parameters (MS-VARs) offer substantial gains in data fit over VARs with constant parameters. However, Bayesian inference for MS-VARs...
