<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Production Function on gdpark.blog</title><link>https://gdpark.blog/tags/production-function/</link><description>Recent content in Production Function on gdpark.blog</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sun, 08 Jan 2017 00:00:00 +0000</lastBuildDate><atom:link href="https://gdpark.blog/tags/production-function/index.xml" rel="self" type="application/rss+xml"/><item><title>Stylized Facts of Economic Growth [Macroeconomics I Studied #10]</title><link>https://gdpark.blog/posts/macroeconomics-10-stylized-facts-of-economic-growth/</link><pubDate>Thu, 14 Jan 2016 00:00:00 +0000</pubDate><guid>https://gdpark.blog/posts/macroeconomics-10-stylized-facts-of-economic-growth/</guid><description>We&amp;rsquo;re finally zooming out to the long run — why do some countries keep winning? Enter Solow&amp;rsquo;s aggregate production function Y = F(K, N), and the real fun begins.</description></item><item><title>The Cobb-Douglas Production Function [Macroeconomics I Studied #12]</title><link>https://gdpark.blog/posts/macroeconomics-12-the-cobb-douglas-production-function/</link><pubDate>Fri, 15 Jan 2016 00:00:00 +0000</pubDate><guid>https://gdpark.blog/posts/macroeconomics-12-the-cobb-douglas-production-function/</guid><description>We finally pin down that vague f(K/N) with the Cobb-Douglas production function and crank through the math to get a concrete steady-state output formula.</description></item><item><title>Solow Residual: A Macroeconomic Approach to Technological Progress [Macroeconomics I Studied #13]</title><link>https://gdpark.blog/posts/macroeconomics-13-solow-residual-a-macroeconomic-approach-to-technological-pro/</link><pubDate>Sat, 16 Jan 2016 00:00:00 +0000</pubDate><guid>https://gdpark.blog/posts/macroeconomics-13-solow-residual-a-macroeconomic-approach-to-technological-pro/</guid><description>We finally stop pinning labor productivity A at 1, bundle it with N into &amp;rsquo;effective labor&amp;rsquo; AN, and roll into the Solow residual framework for thinking about tech progress.</description></item><item><title>Isoquants [Microeconomics I Studied #24]</title><link>https://gdpark.blog/posts/microeconomics-24-isoquants/</link><pubDate>Sun, 17 Jul 2016 00:00:00 +0000</pubDate><guid>https://gdpark.blog/posts/microeconomics-24-isoquants/</guid><description>We bring K back into the picture, plot the whole Q = f(L, K) surface in 3D, then slice it to see what isoquants actually are — infinite (L, K) combos that spit out the same output.</description></item><item><title>Returns to Scale [Microeconomics I Studied #28]</title><link>https://gdpark.blog/posts/microeconomics-28-returns-to-scale/</link><pubDate>Mon, 18 Jul 2016 00:00:00 +0000</pubDate><guid>https://gdpark.blog/posts/microeconomics-28-returns-to-scale/</guid><description>We dig into the 3D production function to figure out why doubling a factory isn&amp;rsquo;t the same as building a new one — and how increasing, decreasing, and constant returns to scale all shake out.</description></item><item><title>Cost Minimization with Three Variables [Microeconomics I Studied #35]</title><link>https://gdpark.blog/posts/microeconomics-35-cost-minimization-with-three-variables/</link><pubDate>Wed, 20 Jul 2016 00:00:00 +0000</pubDate><guid>https://gdpark.blog/posts/microeconomics-35-cost-minimization-with-three-variables/</guid><description>Adding a third input M sounds fancy, but once you pin K as a fixed cost the whole 3D problem just collapses back into the same old 2D setup — same playbook, every time.</description></item><item><title>Total Cost, Marginal Cost, and Average Cost [Microeconomics I Studied #36]</title><link>https://gdpark.blog/posts/microeconomics-36-total-cost-marginal-cost-and-average-cost/</link><pubDate>Wed, 20 Jul 2016 00:00:00 +0000</pubDate><guid>https://gdpark.blog/posts/microeconomics-36-total-cost-marginal-cost-and-average-cost/</guid><description>Wait, cost curves again?! Nope — this time we&amp;rsquo;re plotting minimum TC against Q, then eyeballing derivatives to build the marginal and average cost curves from scratch.</description></item><item><title>Untitled [Microeconomics I Studied #37]</title><link>https://gdpark.blog/posts/microeconomics-37-long-run-cost-minimization-with-cobb-douglas/</link><pubDate>Wed, 20 Jul 2016 00:00:00 +0000</pubDate><guid>https://gdpark.blog/posts/microeconomics-37-long-run-cost-minimization-with-cobb-douglas/</guid><description>We pin down TC, MC, and AC for a Cobb-Douglas production function and find they all collapse to the same constant α — constant returns to scale is why.</description></item><item><title>Chapter 6 Practice Problems [Microeconomics I Studied #48]</title><link>https://gdpark.blog/posts/microeconomics-48-chapter-6-practice-problems/</link><pubDate>Sat, 07 Jan 2017 00:00:00 +0000</pubDate><guid>https://gdpark.blog/posts/microeconomics-48-chapter-6-practice-problems/</guid><description>Working through Chapter 6 problems on production functions — filling tables, sketching graphs, and hunting down where average product, marginal product, and total product each hit their max.</description></item><item><title>Chapter 7 Practice Problems [Microeconomics I Studied #49]</title><link>https://gdpark.blog/posts/microeconomics-49-chapter-7-practice-problems/</link><pubDate>Sun, 08 Jan 2017 00:00:00 +0000</pubDate><guid>https://gdpark.blog/posts/microeconomics-49-chapter-7-practice-problems/</guid><description>Working through Chapter 7 cost-minimization problems with gradients and isoquants — turns out it&amp;rsquo;s the exact same math as the utility-function stuff, just with different names.</description></item></channel></rss>