Updated references in Add-Refs.bib

Author: paperpile-bot

Add-Refs.bib

@@ -448,7 +448,7 @@ @ONLINE{White2014-yg
 @ARTICLE{Druedahl2021c,
   title        = {{A guide on solving non-convex {consumption-saving} models}},
   author       = {Druedahl, Jeppe},
-  journaltitle = {Computational economics},
+  journaltitle = {Computational Economics},
   publisher    = {Springer Science and Business Media LLC},
   volume       = {58},
   issue        = {3},
@@ -489,8 +489,9 @@ @ARTICLE{Ishakov2012
   title        = {{Extending endogenous grid method for solving discrete
                   continuous sequential decision problems}},
   author       = {{Ishakov} and {Rust} and {Schjerning}},
-  journaltitle = {Manu\% script},
-  date         = {2012}
+  journaltitle = {ITA-Manu scripte (Arbeitspapiere)},
+  date         = {2012},
+  issn         = {1681-9187}
 }
 
 @ARTICLE{Iskhakov2012,
@@ -609,7 +610,7 @@ @ARTICLE{Iskhakov2017d
                   problems without {root-finding operations” [Econom. Lett.} 135
                   (2015) {72–76]}}},
   author       = {Iskhakov, Fedor},
-  journaltitle = {Economics letters},
+  journaltitle = {Economics Letters},
   publisher    = {Elsevier BV},
   volume       = {150},
   pages        = {26},
@@ -727,7 +728,7 @@ @ARTICLE{Iskhakov2015b
                   root-finding operations}},
   shorttitle   = {{Multidimensional Endogenous Gridpoint Method}},
   author       = {Iskhakov, Fedor},
-  journaltitle = {Economics letters},
+  journaltitle = {Economics Letters},
   publisher    = {Elsevier BV},
   volume       = {135},
   pages        = {72--76},
@@ -749,7 +750,7 @@ @ARTICLE{Jorgensen2013
   title        = {{Structural estimation of continuous choice models: Evaluating
                   the {EGM} and {MPEC}}},
   author       = {Jørgensen, Thomas H},
-  journaltitle = {Economics letters},
+  journaltitle = {Economics Letters},
   publisher    = {Elsevier BV},
   volume       = {119},
   issue        = {3},
@@ -804,7 +805,7 @@ @INBOOK{Maliar2014
                supercomputer. We illustrate the performance of the surveyed
                methods using a multiagent model. Many codes are publicly
                available.},
-  series    = {Handbook of computational economics},
+  series    = {Handbook of Computational Economics},
   language  = {en}
 }
 
@@ -869,7 +870,7 @@ @ARTICLE{Carroll2006h
   title        = {{The method of endogenous gridpoints for solving dynamic
                   stochastic optimization problems}},
   author       = {Carroll, Christopher D},
-  journaltitle = {Economics letters},
+  journaltitle = {Economics Letters},
   publisher    = {Elsevier BV},
   volume       = {91},
   issue        = {3},
@@ -893,7 +894,7 @@ @ARTICLE{Mendoza2020
   title        = {{{FiPIt}: A simple, fast global method for solving models with
                   two endogenous states \& occasionally binding constraints}},
   author       = {Mendoza, Enrique G and Villalvazo, Sergio},
-  journaltitle = {Review of economic dynamics},
+  journaltitle = {Review of Economic Dynamics},
   publisher    = {Elsevier BV},
   volume       = {37},
   pages        = {81--102},
@@ -917,7 +918,7 @@ @ARTICLE{Maliar2013b
   title        = {{Envelope condition method versus endogenous grid method for
                   solving dynamic programming problems}},
   author       = {Maliar, Lilia and Maliar, Serguei},
-  journaltitle = {Economics letters},
+  journaltitle = {Economics Letters},
   publisher    = {Elsevier BV},
   volume       = {120},
   issue        = {2},
@@ -966,7 +967,7 @@ @ARTICLE{Ludwig2018
   title        = {{Endogenous grids in higher dimensions: {Delaunay}
                   interpolation and hybrid methods}},
   author       = {Ludwig, Alexander and Schön, Matthias},
-  journaltitle = {Computational economics},
+  journaltitle = {Computational Economics},
   publisher    = {Springer Science and Business Media LLC},
   volume       = {51},
   issue        = {3},
@@ -976,7 +977,7 @@ @ARTICLE{Ludwig2018
   issn         = {0927-7099,1572-9974},
   abstract     = {This paper investigates extensions of the method of endogenous
                   gridpoints (ENDGM) introduced by Carroll (Econ Lett
-                  91(3):312--320, 2006) to higher dimensions with more than one
+                  91(3):312–320, 2006) to higher dimensions with more than one
                   continuous endogenous state variable. We compare three
                   different categories of algorithms: (i) the conventional
                   method with exogenous grids (EXOGM), (ii) the pure method of
@@ -990,9 +991,9 @@ @ARTICLE{Ludwig2018
                   between HYBGM and ENDGM depends on the number of gridpoints in
                   each dimension. With less than 150 gridpoints in each
                   dimension ENDGM is faster than HYBGM, and vice versa. For a
-                  standard choice of 25--50 gridpoints in each dimension, ENDGM
-                  is 1.4--1.7 times faster than HYBGM in the finite horizon
-                  version and 2.4--2.5 times faster in the infinite horizon
+                  standard choice of 25–50 gridpoints in each dimension, ENDGM
+                  is 1.4–1.7 times faster than HYBGM in the finite horizon
+                  version and 2.4–2.5 times faster in the infinite horizon
                   version of the model.},
   language     = {en}
 }
@@ -1029,7 +1030,7 @@ @ARTICLE{Fella2014
   title        = {{A generalized endogenous grid method for non-smooth and
                   non-concave problems}},
   author       = {Fella, Giulio},
-  journaltitle = {Review of economic dynamics},
+  journaltitle = {Review of Economic Dynamics},
   publisher    = {Elsevier BV},
   volume       = {17},
   issue        = {2},
@@ -1059,7 +1060,7 @@ @ARTICLE{Iskhakov2017c
                   for dynamic choice models}},
   author       = {Iskhakov, Fedor and Jørgensen, Thomas H and Rust, John and
                   Schjerning, Bertel},
-  journaltitle = {Quantitative economics},
+  journaltitle = {Quantitative Economics},
   publisher    = {The Econometric Society},
   volume       = {8},
   issue        = {2},
@@ -1078,8 +1079,8 @@ @ARTICLE{Iskhakov2017c
                   these problems are ameliorated in the presence of additive
                   choice-specific independent and identically distributed
                   extreme value taste shocks that are typically interpreted as
-                  ?unobserved state variables? in structural econometric
-                  applications, or serve as ?random noise? to smooth out kinks
+                  “unobserved state variables” in structural econometric
+                  applications, or serve as “random noise” to smooth out kinks
                   in the value functions in numerical applications. We present
                   Monte Carlo experiments that demonstrate the reliability and
                   efficiency of the DC-EGM algorithm and the associated maximum