Results 241 to 250 of about 547,492 (344)

Stochastic responses and marginal valuation. [PDF]

open access: yesProc Natl Acad Sci U S A
Hansen LP, Souganidis P.
europepmc   +1 more source

Reassessing the Cross‐Sectional Fiscal Multiplier: Evidence From U.S. Defense Procurement, 1966–2019

open access: yesJournal of Applied Econometrics, EarlyView.
ABSTRACT This paper revisits the empirical analysis of Nakamura and Steinsson (2014). I reconstructed and extended the original dataset to cover the period 1966–2019, harmonizing two major sources of data: the Defense Contract Action Data System (DCADS) and USAspending.gov. I discuss how to aggregate these contract‐level data to better capture spending
Gianluca Pallante
wiley   +1 more source

Are Princelings Truly Busted? Evaluating Transaction Discounts in China's Land Market

open access: yesJournal of Applied Econometrics, EarlyView.
ABSTRACT This paper replicates Chen and Kung's 2019 analysis (The Quarterly Journal of Economics 134(1): 185–226). Inspecting the data reveals that nearly one‐third of transactions (388,903 out of 1,208,621) are perfect duplicates of other rows, excluding the transaction number.
Julia Manso
wiley   +1 more source

Guidelines on reporting and assessing dynamic mathematical models of infectious diseases: a scoping review. [PDF]

open access: yesBMC Infect Dis
Chaturvedi M   +14 more
europepmc   +1 more source

A Joint Test of Unconfoundedness and Common Trends

open access: yesJournal of Applied Econometrics, EarlyView.
ABSTRACT We introduce an overidentification test of two alternative assumptions to identify the average treatment effect on the treated in a two‐period panel data setting: unconfoundedness and common trends. Under unconfoundedness, treatment assignment and post‐treatment outcomes are independent, conditional on control variables and pre‐treatment ...
Martin Huber, Eva‐Maria Oeß
wiley   +1 more source

Bayesian Model Averaging in Causal Instrumental Variable Models

open access: yesJournal of Applied Econometrics, EarlyView.
ABSTRACT Instrumental variables are a popular tool to infer causal effects under unobserved confounding, but choosing suitable instruments is challenging in practice. We propose gIVBMA, a Bayesian model averaging procedure that addresses this challenge by averaging across different sets of instrumental variables and covariates in a structural equation ...
Gregor Steiner, Mark Steel
wiley   +1 more source

Home - About - Disclaimer - Privacy